Jobs

14
  • Β· 46 views Β· 4 applications Β· 26d

    Middle Data Scientist

    Full Remote Β· Countries of Europe or Ukraine Β· Product Β· 2 years of experience Β· Intermediate
    In Competera, we are building a place where optimal pricing decisions can be made easily. We believe that AI technologies will soon drive all challenging decisions and are capable of helping humans be better. We are now looking for a Middle Data Scientist...

    In Competera, we are building a place where optimal pricing decisions can be made easily. We believe that AI technologies will soon drive all challenging decisions and are capable of helping humans be better. We are now looking for a Middle Data Scientist to change the way we deliver our solution to customers.
     

    You could be a perfect match for the position if

     

    You want to:

    • Validate datasets to ensure data accuracy and consistency.
    • Design proof-of-concept (POC) solutions to explore new approaches.
    • Develop technical solutions by mapping requirements to existing tools and functionalities.
    • Train models and create custom approaches for new domains.
    • Troubleshoot data processing and model performance issues.

     

    You have:

    • 2+ years of experience in data science or a related field.
    • Strong SQL skills for data manipulation and extraction.
    • Proficiency in Python, with the ability to write modular and readable code for experiments and prototypes.
    • A solid mathematical background, preferably in a Computer Science-related field.
    • Expertise in scientific Python libraries, including NumPy, pandas, scikit-learn, and either Keras/TensorFlow or PyTorch.
    • Familiarity with Time Series Forecasting methodologies.
    • Experience in statistical testing, including A/B testing.
    • 1+ years working with tabular and multimodal data (e.g., combining tabular data with text, audio, or images).
    • Upper-intermediate or higher English level.

     

    Soft skills:

    • Analytical mindset and critical thinking to solve complex problems.
    • Agile approach, with the ability to experiment and test hypotheses in a dynamic business environment.
    • Business-oriented thinking, capable of translating complex models into clear business insights.
    • Curiosity and a drive for continuous learning in the data domain.
    • Strong team player, able to collaborate across cross-functional teams.

     

    You’re gonna love it, and here’s why:

    • Rich innovative software stack, freedom to choose the best suitable technologies.
    • Remote-first ideology: freedom to operate from the home office or any suitable coworking.
    • Flexible working hours (we start from 8 to 11 am) and no time tracking systems on.
    • Regular performance and compensation reviews.
    • Recurrent 1-1s and measurable OKRs.
    • In-depth onboarding with a clear success track.
    • Competera covers 70% of your training/course fee.
    • 20 vacation days, 15 days off, and up to one week of paid Christmas holidays.
    • 20 business days of sick leave.
    • Partial medical insurance coverage.
    • We reimburse the cost of coworking.

     

    Drive innovations with us. Be a Competerian.

    More
  • Β· 33 views Β· 0 applications Β· 11d

    Senior Data Scientist

    Worldwide Β· Product Β· 4 years of experience Β· Intermediate
    PIN-UP Global is an international holding specializing in the development and implementation of advanced technologies, B2B solutions and innovative products for the iGaming industry. Our holding is represented in seven countries (Cyprus, Ukraine, Poland,...

    PIN-UP Global is an international holding specializing in the development and implementation of advanced technologies, B2B solutions and innovative products for the iGaming industry.

    Our holding is represented in seven countries (Cyprus, Ukraine, Poland, Kazakhstan, Armenia, Peru, Malta). The headquarters of the holding is located in Cyprus.

     

    We are looking for a Senior Data Scientist to join our team!

     

    Requirements:

    - Proven experience in analysis of large amount of data;

    - Experience in solving customer behavior prediction tasks;

    - Knowledge of ML algorithms for regression, classification, clustering, ability to apply them to business problems;

    - Solid experience in SQL;

    - Extensive experience with Python for data processing, modeling, and visualization;

    - Deep understanding of statistics, probability theory;

    - Passion to drive projects from R&D to business value.

     

    Will be plus:

    - Familiarity with AWS infrastructure and toolchain (SageMaker, CloudFormation, CloudWatch, etc.);

    - Familiarity with BI tools (Metabase, Tableau);

    - Experience with tools for managing ML workflows;

    - Knowledge and experience with algorithms and data structures;

    - Knowledge of OOP;

    - Understanding of containerization technologies (Docker);

    - Participation in Kaggle competitions.

     

    Responsibilities:

    - Developing and testing machine learning models for customer behavior prediction, deploying to production;

    - Working with tabular data collecting, cleaning, and exploring datasets, building ML pipelines;

    - Applying statistical methods to analyze and interpret data, finding patterns, insights to improve quality of models;

    - Maintaining existing models;

    - Communicating and presenting results.

     

    Benefits:

    πŸ€ An exciting and challenging job in a fast-growing product holding, the opportunity to be part of a multicultural team of top professionals in Development, Engineering and Architecture, Management, Operations, Marketing, etc;

    🀝 Great working atmosphere with passionate IT experts and leaders, sharing a friendly culture and a success-driven mindset is guaranteed;

    πŸ“Beautiful offices in Limassol, Warsaw, Almaty, Yerevan β€” work with comfort and enjoy the opportunity to build a network of connections with IT professionals day by day;

    πŸ§‘β€πŸ’» Laptop & all necessary equipment for work according to the ecosystem standards;

    πŸ– Paid vacations, personal events days, days off;

    πŸ«– Paid sick leave;

    πŸ‘¨β€βš• Medical insurance;

    πŸ’΅ Referral program β€” enjoy cooperation with your colleagues and get a bonus;

    πŸ“š Educational support by our L&D team: internal and external trainings and conferences, courses on Udemy;

    πŸ¦„ Multiple internal activities: online platform with newsletters, quests, gamification, and presents for collecting bonuses, PIN-UP talks club for movie and book lovers, board games cozy evenings, special office days dedicated to holidays, etc;

    🎳 Company events, team buildings.

    More
  • Β· 49 views Β· 1 application Β· 20d

    Computer Vision Engineer

    Office Work Β· Ukraine (Kyiv) Β· Product Β· 5 years of experience Β· Intermediate MilTech πŸͺ–
    Overview We are seeking a highly skilled and experienced Senior/Lead Computer Vision Engineer specializing in Navigation to join our innovative R&D team. In this pivotal role, you will drive the development and deployment of state-of-the-art computer...

    Overview

    We are seeking a highly skilled and experienced Senior/Lead Computer Vision Engineer specializing in Navigation to join our innovative R&D team. In this pivotal role, you will drive the development and deployment of state-of-the-art computer vision algorithms for autonomous navigation systems, contributing to our efforts in robotics, autonomous vehicles, drones, or similar fields. You will work cross-functionally with engineering, product, and research teams to deliver robust, real-time solutions that enable safe and intelligent navigation in dynamic environments.


    Responsibilities

    • Lead the design, development, and optimization of computer vision algorithms for localization, mapping, and navigation.
    • Develop and implement algorithms for object detection, segmentation, SLAM, 3D scene reconstruction, visual odometry, and sensor fusion (using cameras, LiDAR, IMUs, etc.).
    • Guide the integration of computer vision modules with navigation and control systems, ensuring seamless operation in real-world conditions.
    • Collaborate with software, hardware, and product teams to define requirements and deliver scalable, robust navigation solutions.
    • Stay current with advancements in deep learning, computer vision, and robotics, and introduce relevant state-of-the-art techniques into the product.
    • Design and execute experiments to evaluate performance and robustness; analyze results and iterate on solutions.
    • Prepare technical documentation, progress reports, and presentations for internal and external stakeholders.


    Requirements

    • 5+ years of experience in computer vision, preferably in navigation, robotics, or autonomous systems.
    • Master’s or PhD in Computer Science, Robotics, Electrical Engineering, or related field.
    • Strong proficiency in Python and/or C++.
    • Hands-on experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and classical computer vision libraries (e.g., OpenCV, PCL).
    • Experience in deploying and optimizing models for single-board computers such as Raspberry Pi, Nvidia Jetson
    • Proven track record of developing and deploying real-time vision algorithms for navigation tasks in challenging environments.
    • Extensive knowledge of SLAM, visual odometry, sensor fusion, and related algorithms.
    • Experience with ROS, embedded systems, and real-time software development is a plus.
    • Excellent problem-solving skills, strong analytical mindset, and effective communication abilities.


    Preferred Qualifications

    • Knowledge of SLAM and related models.
    • Familiarity with the MAVLink protocol and ArduPilot.
    • Familiarity with edge computing or real-time GPU-based inference.
    • Publications or contributions to the open-source community in vision or robotics.
    More
  • Β· 56 views Β· 6 applications Β· 16d

    Senior Data Science

    Full Remote Β· Worldwide Β· Product Β· 5 years of experience Β· Intermediate
    Gypsy is looking for a Senior Data Science β€” a seeker of patterns, a builder of meaning, and a navigator through metrics, models, and signals. What makes you a great match 5+ years of experience working with large datasets and building complex...

    Gypsy is looking for a Senior Data Science β€” a seeker of patterns, a builder of meaning, and a navigator through metrics, models, and signals.

     

    🧭 What makes you a great match

    • 5+ years of experience working with large datasets and building complex models;
    • Python experience: 3+ years. Use of libraries for analysis and modeling: pandas, numpy, scikit-learn, statsmodels;
    • SQL experience: 3+ years. Working with relational databases: PostgreSQL, BigQuery;
    • Tableau/Superset: 2+ years of experience. Visualization optimization for large datasets;
    • Git: Confident user. Code and data version control, conflict resolution, pull requests;
    • Experience in the iGaming environment.

       

    πŸ“‹ Your daily adventures

    • Creating and validating hypotheses based on data;
    • Using statistical methods to identify patterns;
    • Building and optimizing predictive models (Machine Learning, regression, clustering);
    • Analyzing changes in key metrics and identifying their causes;
    • Developing logic for distinguishing VIP and regular players;
    • Designing models for analyzing player activity and player retention;
    • Continuously improving data collection, processing, and analysis workflows;
    • Developing and maintaining Python scripts to automate processes;
    • Ensuring data quality and troubleshooting processing errors.

     

    πŸ† Preferred Qualifications

    • Experience with A/B testing tools;
    • Experience with BigQuery or other analytical DWHs.

     

    Benefits:

    πŸ’Έ Flexible payment options: choose the method that works best for you;

    🧾 Tax assistance included: we handle part of your taxes and provide guidance on the local setup;

    🎁 Financial perks: Bonuses for holidays, B-day, work milestones and more β€” just to show we care;

    πŸ“ˆ Learn & grow: We cover courses and certifications β€” and offer real opportunities to grow your career with us;

    πŸ₯ Benefit Π‘afeteria: Choose what suits you β€” sports, language courses, therapy sessions, and more;

    πŸŽ‰ Stay connected: From team-building events to industry conferences β€” we bring people together online, offline, and on stage;

    πŸ’» Modern Equipment: We provide new laptops along with essential peripherals like monitors and headphones for a comfortable workflow;

    πŸ•˜ Your schedule, your rules: Start your day at 9, 10, or even 11 β€” we care about results, not clock-ins.

    More
  • Β· 52 views Β· 19 applications Β· 17d

    Data Scientist

    Full Remote Β· Countries of Europe or Ukraine Β· Product Β· 4 years of experience Β· Intermediate
    Π¨ΡƒΠΊΠ°Ρ”ΠΌΠΎ Data Scientist, Ρ‰ΠΎ ΠΏΡ€Π°Ρ†ΡŽΠ²Π°Ρ‚ΠΈΠΌΠ΅ Π· R&D, рСгрСсіями Ρ‚Π° Ρ‚Π°Π±Π»ΠΈΡ‡Π½ΠΈΠΌΠΈ Π΄Π°Π½ΠΈΠΌΠΈ, zero-to-one ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚ΠΎΠΌ Π½Π° Π³Π»ΠΎΠ±Π°Π»ΡŒΠ½ΠΎΠΌΡƒ Ρ€ΠΈΠ½ΠΊΡƒ. Π’ΠΏΠ»ΠΈΠ² Π½Π° Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌΠΈ Ρ‚Π° бізнСс, СкспСримСнти Π±Π΅Π· обмСТСнь. Π’ΠΎΠΏΠΎΠ²Ρ– ΡƒΠΌΠΎΠ²ΠΈ, ΠΏΠΎΠ²Π½ΠΈΠΉ Ρ€Π΅ΠΌΠΎΡƒΡ‚. Main Responsibilities: – Be responsible for...

    Π¨ΡƒΠΊΠ°Ρ”ΠΌΠΎ Data Scientist, Ρ‰ΠΎ ΠΏΡ€Π°Ρ†ΡŽΠ²Π°Ρ‚ΠΈΠΌΠ΅ Π· R&D, Ρ€Π΅Π³Ρ€Π΅ΡΡ–ями Ρ‚Π° Ρ‚Π°Π±Π»ΠΈΡ‡Π½ΠΈΠΌΠΈ Π΄Π°Π½ΠΈΠΌΠΈ, zero-to-one ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚ΠΎΠΌ Π½Π° Π³Π»ΠΎΠ±Π°Π»ΡŒΠ½ΠΎΠΌΡƒ Ρ€ΠΈΠ½ΠΊΡƒ. Π’ΠΏΠ»ΠΈΠ² Π½Π° Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌΠΈ Ρ‚Π° бізнСс, СкспСримСнти Π±Π΅Π· обмСТСнь. Π’ΠΎΠΏΠΎΠ²Ρ– ΡƒΠΌΠΎΠ²ΠΈ, ΠΏΠΎΠ²Π½ΠΈΠΉ Ρ€Π΅ΠΌΠΎΡƒΡ‚. 

     

    Main Responsibilities:

    – Be responsible for DS-ML-related solutions developed by all Service and Delivery(SnD) squads: maintenance and improvement of existing solutions; design, development, and implementation of new solutions

    – Provide technical leadership for other SnD DSs

    – Test developed algorithms, work with the SnD team within UAT, adapt, and reach DOD and DOR

    – Verify key tasks done by SnD DS, such as model training and AB test design

    – Conduct code reviews for DS-ML-related solutions

    – Automate DS work in SnD.Develop data requirements for SnD implementation projects

    – Cooperate with IM and DE to achieve and maintain the optimal dataset configuration according to DS-ML needs

    – Measure solution stability, quality, and effectiveness; transparently communicate the current state of things to other roles/teams, and suggest and implement improvements

    – Regularly collaborate (provide prototypes/ideas/detailed feature requests) with RnD Teams on tools for SnD

     

    Mandatory Requirements:

    – A minimum of 3 years of experience in data science or a related field

    – Proficiency in SQL for data manipulation and extraction

    – Strong Python skills, capable of writing modular and readable code for experiments and prototypes

    – A solid mathematical background, preferably in a Computer Science-related field

    – Proficiency in the scientific Python toolkit, including NumPy, pandas, scikit-learn, and either Keras/TensorFlow or PyTorch

    – Familiarity with Time Series Forecasting approaches

    – Experience in statistical testing methodologies, including A/B testing

    – At least 3 years of experience working with tabular and mixed (multimodal) data (e.g., tabular data combined with text, audio, or images).

    – Upper-intermediate or higher level of English (for future communication with clients and user interviews)

     

    Soft skills

    – Analytical mindset and strong critical thinking abilities

    – Leadership skills to efficiently organize the data team (Data Scientists, Data Engineers, Data Analysts)

    – Agile approach, with the ability to experiment and test hypotheses in an unstable business environment

    – Business-oriented mindset, able to translate complex models into simple business language

    – Excellent presentation skills, capable of communicating complex ideas effectively

    – Curiosity and a commitment to continuous learning within the domain

    – Strong team player, able to collaborate effectively with cross-functional teams

     

    We offer:

    – Rich innovative software stack, freedom to choose the best suitable technologies

    – Remote-first ideology: freedom to operate from the home office or any suitable coworking

    – Flexible working hours (we start from 8 to 11 am) and no time tracking systems on

    – Regular performance and compensation reviews

    – Recurrent 1-1s and measurable OKRs

    – In-depth onboarding with a clear success track

    – Competera covers 70% of your training/course fee

    – 20 vacation days, 15 days off, and up to one week of paid Christmas holidays

    – 20 business days of sick leave

    – Partial medical insurance coverage

    – We reimburse the cost of coworking

    More
  • Β· 30 views Β· 5 applications Β· 24d

    Game Mathematician

    Full Remote Β· Countries of Europe or Ukraine Β· Product Β· 5 years of experience Β· Intermediate
    We are toogeza, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. People make a difference in the big game, we may help to find the right ones. We are currently looking for a Game...

    We are toogeza, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. People make a difference in the big game, we may help to find the right ones.

    We are currently looking for a Game Mathematician for Spinlab.
    Job Type: Full-Time

    About the client:

    We help slot gaming leaders unlock the potential of their data, enhancing business outcomes and strengthening their competitive edge in the market. We collect and process data using advanced methods and technologies to provide our clients with clear, actionable recommendations based on real metrics. SpinLab’s goal is not just to collect data but to help businesses use it for maximum efficiency and amplify their performance results.

     

    About the Role:

    We are looking for a mathematician with a proven record of creating slot games, who will join our team and help to build data-driven projects on game math optimization. You will have an opportunity to learn players’ behavior and shape the future vision of our products.


    The main task:

    • is to adapt the mathematics of existing games, not develop new ones;
    • It is desirable to be interested in development in the direction of analytics and DS;
    • Most of the time will be spent working with AB testing.


    Responsibilities:

    • Develop engaging game mathematics and mechanics in collaboration with Product Owners and Game Developers;
    • Fine-tune game mathematics and mechanics to create the best possible product;
    • Perform simulations of game math;
    • Explore the most popular games from other providers;
    • Provide competitive game math analysis to reveal valuable insights;
    • Be involved in the game creation process from start to finish;
    • Collaborate with development teams, provide game math specifications;
    • Be a discussion sparring partner inside our team to help build better products


    Requirements:

    • University degree in mathematics / computer science / technology / engineering;
    • At least 5 years commercial experience as a game mathematician (or similar position) in online gambling;
    • An understanding of how different slot mechanics work;
    • A high level of attention to detail: the ability to spot even small mistakes in your math models and troubleshoot them;
    • Brilliant at solving abstract and highly complex math problems;
    • Data-driven and analytical mindset in decision-making;
    • Teamwork experience;
    • English B2+


    Will be a plus:

    • Scripting skills in Python;
    • Experience with Git (or other VCS);
    • Motivated by challenges and stretch goals;
    • Strong mathematical intuition, creativity and curiosity;
    • Ability to look at games from players’ point of view;
    • Self-organization, ability to prioritize tasks


    Benefits:

    • Interesting products and ability to shape them with your vision.
    • Flexible schedule with remote mode.
    • 21 working days of vacation.
    • 25 sick leaves.
    • Paid Ukrainian National Holidays.
    • Medical insurance is provided after completing the probation period (3 months from the start date).
    • Budget for education.
    • Paid individual English classes.
    • Technical equipment that meets the working needs.
    More
  • Β· 35 views Β· 1 application Β· 6d

    ML / Computer Vision Engineer (Human Understanding)

    Ukraine Β· Product Β· 3 years of experience Β· Intermediate
    Samsung R&D Institute Ukraine (SRUKR) is looking for ML / Computer Vision engineer who wants to apply theoretical knowledge and practical skills to participate in solving Human Understanding challenges in rapidly evolving Vision AI domain. The position...

    Samsung R&D Institute Ukraine (SRUKR) is looking for ML / Computer Vision engineer who wants to apply theoretical knowledge and practical skills to participate in solving Human Understanding challenges in rapidly evolving Vision AI domain. The position will involve different aspects of R&D including – research, analysis, prototyping, development and commercialization support of the innovative technologies. Resulting solutions are targeted on Samsung products and services reaching millions of users worldwide.

     

    Required skills / expertise:
     

    • Bachelor's (or higher) degree in computer science, math, statistics, or related field
    • 3+ years of experience in conventional and ML/DL based image processing and computer vision
    • Practical experience in custom NN-architecture development, training and evaluation
    • Strong theoretical knowledge and practical skills in computer vision algorithms (OpenCV)
    • Solid Python programming skills (numpy, pandas, matplotlib)
    • Knowledge in linear algebra, probability, optimization, and 3D geometry
    • Proficiency in math, algorithms and data structures
    • Experience with object-oriented design and development
    • Basic C++ knowledge
    • Understanding research methodologies and S/W development lifecycle

     

    Would be a plus:
     

    • Experience in 3D face reconstruction and face attributes detection
    • Experience with ComfyUI and data generation activities
    • Participation in CV/ML/DL-intensive research (papers, competitions, patents, etc…)
    • Pet projects portfolio that includes – object detection/recognition/tracking, key-points detection and tracking, semantic/instance segmentation, etc.
    • Experience with vision transformer, vision encoder-decoder architectures
    • Experience with model optimizations for on-device inference (ONNX-runtime, TFLite, SNPE)
    • Experience with CPU/GPU profiling tools
    • Cross-cultural experience and working English to feel confident in the international team

     

    Key Responsibilities:
     

    • R&D activities in CV based Human Understanding domain (person/face attributes detection, recognition and tracking, 3D face reconstruction).
    • Design NN-based solutions and train required ML/DL models
    • Optimize algorithms & ML/DL models / their inference and size
    • Transfer models and solutions to the edge devices using appropriate frameworks (ONNX, TFLite, SNPE, etc)
    • Participate in design process of system architecture
    • Collaborate with other R&D engineers worldwide to improve product quality with the latest industry trends in relevant technologies
    • Maintain and support existing solutions and services
    • Develop demo applications for various platforms
    • Opportunity to participate in publication and patent activities

     

    Working Conditions:
     

    • GIG contract
    • remote work is possible as well as work in Kyiv office
       

    Benefits:
     

    • competitive salary, annual salary review, annual bonuses
    • paid 28 work days of annual vacations and sick leaves
    • opportunity to become an inventor of international patents with paid bonuses
    • medical & life insurance for employees and their childrens
    • paid lunches
    • discounts to Samsung products, services
    • regular education and self-development on internal courses and seminars
    • hybrid work format, working in office is required for some tasks
    More
  • Β· 95 views Β· 9 applications Β· 2d

    Strong Junior Data Scientist

    Full Remote Β· Worldwide Β· Product Β· 1 year of experience Β· Intermediate
    In Competera, we are building a place where optimal pricing decisions can be made easily. We believe that AI technologies will soon drive all challenging decisions and are capable of helping humans be better. We are now seeking a Junior Data Scientist to...

    In Competera, we are building a place where optimal pricing decisions can be made easily. We believe that AI technologies will soon drive all challenging decisions and are capable of helping humans be better.
    We are now seeking a Junior Data Scientist to play a key role in reshaping the way we deliver our solutions.

    What you will do

    • Conduct Exploratory Data Analysis (EDA) to uncover hidden patterns and formulate hypotheses that shape the modeling strategy.
    • Design and analyze A/B tests to measure the impact of your models and ideas.
    • Train and evaluate predictive models, (feature engineering/ hyperparameter tuning), for challenges like demand forecasting and price elasticity estimation.
    • Map business requirements into well-defined machine learning problems under consultancy.
    • Communicate complex model outputs as clear, actionable insights for business stakeholders.
       

    You have:

    • SQL basics.
    • A strong math background (Computer Science-related education is preferred).
    • Scientific python toolkit (NumPy, pandas, scikit-learn, Keras / TensorFlow or PyTorch).
    • Deep understanding of ML basics: overfitting, metrics, cross-validation, hyperparameter tuning, classification of ML tasks and models (classification, regression, clustering etc.).
    • Good communication English skills (Intermediate+).
    • 1+ year of hands-on experience in a data science.

    Pleasant extras:

    • Proven graduation from ML/AI MOOCs (Coursera, etc.).
    • Participation in ML competitions (i.e. Kaggle).

    Soft skills:

    • Analytical mindset and critical thinking to solve complex problems.
    • Agile approach, with the ability to experiment and test hypotheses in a dynamic business environment.
    • Business-oriented thinking, capable of translating complex models into clear business insights.
    • Curiosity and a drive for continuous learning in the data domain.
    • Strong team player, able to collaborate across cross-functional teams.

    You’re gonna love it, and here’s why:

    • Rich innovative software stack, freedom to choose the best suitable technologies.
    • Remote-first ideology: freedom to operate from the home office or any suitable coworking.
    • Flexible working hours (we start from 8 to 11 am) and no time tracking systems on.
    • Regular performance and compensation reviews.
    • Recurrent 1-1s and measurable OKRs.
    • In-depth onboarding with a clear success track.
    • Competera covers 70% of your training/course fee.
    • 20 vacation days, 15 days off, and up to one week of paid Christmas holidays.
    • 20 business days of sick leave.
    • Partial medical insurance coverage.
    • We reimburse the cost of coworking.

    Drive innovations with us. Be a Competerian.

    More
  • Β· 97 views Β· 3 applications Β· 12d

    Data Scientist

    Full Remote Β· Ukraine Β· Product Β· 2 years of experience Β· Intermediate Ukrainian Product πŸ‡ΊπŸ‡¦
    ΠžΠ±ΠΎΠ²β€™ΡΠ·ΠΊΠΈ: Аналіз Π΄Π°Π½ΠΈΡ…: Π—Π±Ρ–Ρ€, ΠΎΠ±Ρ€ΠΎΠ±ΠΊΠ° Ρ‚Π° Π°Π½Π°Π»Ρ–Π· Π²Π΅Π»ΠΈΠΊΠΈΡ… Π½Π°Π±ΠΎΡ€Ρ–Π² Π΄Π°Π½ΠΈΡ… для виявлСння ΠΏΠ°Ρ‚Π΅Ρ€Π½Ρ–Π², Ρ‚Ρ€Π΅Π½Π΄Ρ–Π² Ρ‚Π° корисної Ρ–Π½Ρ„ΠΎΡ€ΠΌΠ°Ρ†Ρ–Ρ—. БтворСння ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ: Π ΠΎΠ·Ρ€ΠΎΠ±ΠΊΠ°, налагодТСння Ρ‚Π° впровадТСння ΠΌΠ°ΡˆΠΈΠ½Π½ΠΈΡ… Π½Π°Π²Ρ‡Π°Π»ΡŒΠ½ΠΈΡ… ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ для прогнозування Ρ‚Π°...

    ΠžΠ±ΠΎΠ²β€™ΡΠ·ΠΊΠΈ:

    • Аналіз Π΄Π°Π½ΠΈΡ…: Π—Π±Ρ–Ρ€, ΠΎΠ±Ρ€ΠΎΠ±ΠΊΠ° Ρ‚Π° Π°Π½Π°Π»Ρ–Π· Π²Π΅Π»ΠΈΠΊΠΈΡ… Π½Π°Π±ΠΎΡ€Ρ–Π² Π΄Π°Π½ΠΈΡ… для виявлСння ΠΏΠ°Ρ‚Π΅Ρ€Π½Ρ–Π², Ρ‚Ρ€Π΅Π½Π΄Ρ–Π² Ρ‚Π° ΠΊΠΎΡ€ΠΈΡΠ½ΠΎΡ— Ρ–Π½Ρ„ΠΎΡ€ΠΌΠ°Ρ†Ρ–Ρ—.
    • БтворСння ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ: Π ΠΎΠ·Ρ€ΠΎΠ±ΠΊΠ°, налагодТСння Ρ‚Π° Π²ΠΏΡ€ΠΎΠ²Π°Π΄ΠΆΠ΅Π½Π½Ρ ΠΌΠ°ΡˆΠΈΠ½Π½ΠΈΡ… Π½Π°Π²Ρ‡Π°Π»ΡŒΠ½ΠΈΡ… ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ для прогнозування Ρ‚Π° ΠΊΠ»Π°ΡΠΈΡ„Ρ–ΠΊΠ°Ρ†Ρ–Ρ—.
    • Візуалізація Π΄Π°Π½ΠΈΡ…: БтворСння Π³Ρ€Π°Ρ„Ρ–ΠΊΡ–Π² для Π²Ρ–Π·ΡƒΠ°Π»Ρ–Π·Π°Ρ†Ρ–Ρ— Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ–Π² Π°Π½Π°Π»Ρ–Π·Ρƒ.
    • Бпівпраця Π· ΠΊΠΎΠΌΠ°Π½Π΄Π°ΠΌΠΈ: Π ΠΎΠ±ΠΎΡ‚Π° Π· ΠΊΠΎΠΌΠ°Π½Π΄Π°ΠΌΠΈ Ρ€ΠΎΠ·Ρ€ΠΎΠ±Π½ΠΈΠΊΡ–Π² Ρ‚Π° ΠΏΡ€ΠΎΠ΄Π°ΠΊΡ‚Ρ–Π² для Ρ–Π½Ρ‚Π΅Π³Ρ€Π°Ρ†Ρ–Ρ— ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ Ρƒ ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚ΠΈ.
    • Виконання Π΄ΠΎΡΠ»Ρ–Π΄ΠΆΠ΅Π½ΡŒ: Π£Ρ‡Π°ΡΡ‚ΡŒ Ρƒ Π΄ΠΎΡΠ»Ρ–дТСннях для вдосконалСння Ρ–ΡΠ½ΡƒΡŽΡ‡ΠΈΡ… Ρ€Ρ–ΡˆΠ΅Π½ΡŒ Ρ– Π²ΠΏΡ€ΠΎΠ²Π°Π΄ΠΆΠ΅Π½Π½Ρ Π½ΠΎΠ²ΠΈΡ… ΠΏΡ–Π΄Ρ…ΠΎΠ΄Ρ–Π².
    • ДокумСнтація: ΠžΡ„ΠΎΡ€ΠΌΠ»Π΅Π½Π½Ρ Π΄ΠΎΠΊΡƒΠΌΠ΅Π½Ρ‚Π°Ρ†Ρ–Ρ— для ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ Ρ‚Π° ΠΏΡ€ΠΎΡ†Π΅ΡΡ–Π² Π°Π½Π°Π»Ρ–Π·Ρƒ Π΄Π°Π½ΠΈΡ….
       

    Π’ΠΈΠΌΠΎΠ³ΠΈ:

    • Досвід Ρ€ΠΎΠ±ΠΎΡ‚ΠΈ Π² Data Science - Π²Ρ–Π΄ 2 Ρ€ΠΎΠΊΡ–Π²;
    • ΠžΡΠ²Ρ–Ρ‚Π°: Π’ΠΈΡ‰Π° освіта Ρƒ Π³Π°Π»ΡƒΠ·Ρ– статистики, ΠΌΠ°Ρ‚Π΅ΠΌΠ°Ρ‚ΠΈΠΊΠΈ, ΠΊΠΎΠΌΠΏβ€™ΡŽΡ‚Π΅Ρ€Π½ΠΈΡ… Π½Π°ΡƒΠΊ Π°Π±ΠΎ Π² ΡΡƒΠΌΡ–ΠΆΠ½ΠΈΡ… областях.
    • Знання інструмСнтів: Досвід Ρ€ΠΎΠ±ΠΎΡ‚ΠΈ Ρ‚Π° Ρ‡ΡƒΠ΄ΠΎΠ²Π΅ знання Python Ρ‚Π° Π±Ρ–Π±Π»Ρ–ΠΎΡ‚Π΅ΠΊ для машинного навчання Π· ΠΏΡ€Ρ–ΠΎΡ€ΠΈΡ‚Π΅Ρ‚ΠΎΠΌ Π½Π° Ρ‚Π°Π±Π»ΠΈΡ‡Π½Ρ– Π΄Π°Π½Ρ– (Pandas, Numpy, Scikit-learn, Xgboost/LightGBM).
    • ΠœΠ°Ρ‚Π΅ΠΌΠ°Ρ‚ΠΈΡ‡Π½Ρ– Π½Π°Π²ΠΈΡ‡ΠΊΠΈ: Розуміння статистики, Ρ‚Π΅ΠΎΡ€Ρ–Ρ— ймовірностСй Ρ‚Π° Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌΡ–Π² машинного навчання.
    • Аналітичні здібності: Вміння Π°Π½Π°Π»Ρ–Π·ΡƒΠ²Π°Ρ‚ΠΈ Π΄Π°Π½Ρ– Ρ‚Π° Ρ€ΠΎΠ±ΠΈΡ‚ΠΈ висновки Π½Π° ΠΎΡΠ½ΠΎΠ²Ρ– ΠΎΡ‚Ρ€ΠΈΠΌΠ°Π½ΠΈΡ… Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ–Π².
    • ΠšΠΎΠΌΡƒΠ½Ρ–ΠΊΠ°Ρ†Ρ–ΠΉΠ½Ρ– Π½Π°Π²ΠΈΡ‡ΠΊΠΈ: Вміння ΠΏΠΎΡΡΠ½ΡŽΠ²Π°Ρ‚ΠΈ Ρ‚Π΅Ρ…Π½Ρ–Ρ‡Π½Ρ– ΠΊΠΎΠ½Ρ†Π΅ΠΏΡ†Ρ–Ρ— нСфахівцям Ρ– ΠΏΡ€Π°Ρ†ΡŽΠ²Π°Ρ‚ΠΈ Π² ΠΊΠΎΠΌΠ°Π½Π΄Ρ–.
    • Досвід Π· SQL: Вміння ΠΏΡ€Π°Ρ†ΡŽΠ²Π°Ρ‚ΠΈ Π· Π±Π°Π·Π°ΠΌΠΈ Π΄Π°Π½ΠΈΡ… Ρ‚Π° Π²ΠΈΠΊΠΎΠ½ΡƒΠ²Π°Ρ‚ΠΈ Π·Π°ΠΏΠΈΡ‚ΠΈ для отримання Ρ–Π½Ρ„ΠΎΡ€ΠΌΠ°Ρ†Ρ–Ρ—.
    • Досвід Π· Ρ€Π΅Π°Π»ΡŒΠ½ΠΈΠΌΠΈ NLP Ρ‚Π° Recommender System ΠΏΡ€ΠΎΠ΅ΠΊΡ‚Π°ΠΌΠΈ Π±ΡƒΠ΄Π΅ плюсом
    • Π‘Π΅ΠΊΠ³Ρ€Π°ΡƒΠ½Π΄ Π² Π°Π½Π°Π»Ρ–Ρ‚ΠΈΡ‡Π½Ρ–ΠΉ сфСрі Π±ΡƒΠ΄Π΅ плюсом
       

    Ми ΠΏΡ€ΠΎΠΏΠΎΠ½ΡƒΡ”ΠΌΠΎ:

    • ΠšΠΎΠ½ΠΊΡƒΡ€Π΅Π½Ρ‚Π½Ρƒ Π·Π°Ρ€ΠΎΠ±Ρ–Ρ‚Π½Ρƒ ΠΏΠ»Π°Ρ‚Ρƒ Π· ΠΏΡ€ΠΈΠ²β€™ΡΠ·ΠΊΠΎΡŽ Π΄ΠΎ Π²Π°Π»ΡŽΡ‚ΠΈ;
    • Π“Π½ΡƒΡ‡ΠΊΠΈΠΉ Π³Ρ€Π°Ρ„Ρ–ΠΊ Ρ€ΠΎΠ±ΠΎΡ‚ΠΈ/Π²Ρ–Π΄Π΄Π°Π»Π΅Π½Π° Ρ€ΠΎΠ±ΠΎΡ‚Π°;
    • 20 Ρ€ΠΎΠ±ΠΎΡ‡ΠΈΡ… Π΄Π½Ρ–Π² ΠΎΠΏΠ»Π°Ρ‡ΡƒΠ²Π°Π½ΠΎΡ— відпустки;
    • ΠŸΠΎΠ²Π½Ρƒ ΠΊΠΎΠΌΠΏΠ΅Π½ΡΠ°Ρ†Ρ–ΡŽ лікарняних Π΄Π½Ρ–Π²;
    • ΠœΠ΅Π΄ΠΈΡ‡Π½Π΅ страхування;
    • L&D Ρ†Π΅Π½Ρ‚Ρ€ Ρ–Π· курсами для співробітників;
    • ΠœΠΎΠΆΠ»ΠΈΠ²Ρ–ΡΡ‚ΡŒ ΠΊΠ°Ρ€'Ρ”Ρ€Π½ΠΎΠ³ΠΎ Ρ€ΠΎΠ·Π²ΠΈΡ‚ΠΊΡƒ Ρ‚Π° Ρ€ΠΎΡ‚Π°Ρ†Ρ–Ρ— напрямків;
    • Π Π΅Ρ„Π΅Ρ€Π°Π»ΡŒΠ½Ρƒ ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΡƒ;
    • Π“Ρ€ΡƒΠΏΠΎΠ²Ρ– дискусії Ρ‚Π° Ρ–Π½Π΄ΠΈΠ²Ρ–Π΄ΡƒΠ°Π»ΡŒΠ½Ρ– заняття Π· ΠΊΠΎΡ€ΠΏΠΎΡ€Π°Ρ‚ΠΈΠ²Π½ΠΈΠΌ психологом.
    More
  • Β· 26 views Β· 3 applications Β· 6d

    Data Scientist

    Full Remote Β· Ukraine Β· 3 years of experience Β· Intermediate
    Π‘Ρ‚Π°Π½ΡŒΡ‚Π΅ Ρ‡Π°ΡΡ‚ΠΈΠ½ΠΎΡŽ ΠΊΠΎΠΌΠ°Π½Π΄ΠΈ, Ρ‰ΠΎ ΡΡ‚Π²ΠΎΡ€ΡŽΡ” Ρ†ΠΈΡ„Ρ€ΠΎΠ²Ρƒ Ρ€Π΅Π°Π»ΡŒΠ½Ρ–ΡΡ‚ΡŒ! MODUS X β€” ΡƒΠΊΡ€Π°Ρ—Π½ΡΡŒΠΊΠ° Π†Π’-компанія, ΠΊΠΎΠΌΠ°Π½Π΄Π° 650+ Ρ–Π½ΠΆΠ΅Π½Π΅Ρ€Ρ–Π², Π°Ρ€Ρ…Ρ–Ρ‚Π΅ΠΊΡ‚ΠΎΡ€Ρ–Π², спСціалістів Π· Π±Π΅Π·ΠΏΠ΅ΠΊΠΈ Ρ‚Π° датасаєнтистів.​ Ми Ρ€ΠΎΠ·ΠΏΠΎΡ‡Π°Π»ΠΈ Ρ‚Π° ΠΏΡ€ΠΎΠ΄ΠΎΠ²ΠΆΡƒΡ”ΠΌΠΎ супровід Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΎΡ— трансформації Π”Π’Π•Πš, яка ΠΏΠ΅Ρ€ΡˆΠΎΡŽ Π²...

    Π‘Ρ‚Π°Π½ΡŒΡ‚Π΅ Ρ‡Π°ΡΡ‚ΠΈΠ½ΠΎΡŽ ΠΊΠΎΠΌΠ°Π½Π΄ΠΈ, Ρ‰ΠΎ ΡΡ‚Π²ΠΎΡ€ΡŽΡ” Ρ†ΠΈΡ„Ρ€ΠΎΠ²Ρƒ Ρ€Π΅Π°Π»ΡŒΠ½Ρ–ΡΡ‚ΡŒ!

     

    MODUS X β€” ΡƒΠΊΡ€Π°Ρ—Π½ΡΡŒΠΊΠ° Π†Π’-компанія, ΠΊΠΎΠΌΠ°Π½Π΄Π° 650+ Ρ–Π½ΠΆΠ΅Π½Π΅Ρ€Ρ–Π², Π°Ρ€Ρ…Ρ–Ρ‚Π΅ΠΊΡ‚ΠΎΡ€Ρ–Π², спСціалістів Π· Π±Π΅Π·ΠΏΠ΅ΠΊΠΈ Ρ‚Π° Π΄Π°Ρ‚асаєнтистів.​ Ми Ρ€ΠΎΠ·ΠΏΠΎΡ‡Π°Π»ΠΈ Ρ‚Π° ΠΏΡ€ΠΎΠ΄ΠΎΠ²ΠΆΡƒΡ”ΠΌΠΎ супровід Ρ†ΠΈΡ„Ρ€ΠΎΠ²ΠΎΡ— трансформації Π”Π’Π•Πš, яка ΠΏΠ΅Ρ€ΡˆΠΎΡŽ Π² Π΅Π½Π΅Ρ€Π³Π΅Ρ‚ΠΈΡ†Ρ– Π£ΠΊΡ€Π°Ρ—Π½ΠΈ стала Π½Π° ΡˆΠ»ΡΡ… ΠΌΠ°ΡΡˆΡ‚Π°Π±Π½ΠΎΠ³ΠΎ Π΄Ρ–Π΄ΠΆΠΈΡ‚Π°Π»-пСрСтворСння. Нині Π²ΠΈΠ΄Ρ–Π»ΠΈΠ»ΠΈΡΡŒ Π² ΠΎΠΊΡ€Π΅ΠΌΡƒ ΠΊΠΎΠΌΠΏΠ°Π½Ρ–ΡŽ, Ρ‰ΠΎΠ±ΠΈ ділитися своїм досвідом Ρ‚Π° Π΅ΠΊΡΠΏΠ΅Ρ€Ρ‚ΠΈΠ·ΠΎΡŽ Π½Π°Π·ΠΎΠ²Π½Ρ–, Π·Π°Π»ΠΈΡˆΠ°ΡŽΡ‡ΠΈΡΡŒ Π†Π’-ΠΎΠΏΠΎΡ€ΠΎΡŽ для Ρ‚ΠΈΡ…, Ρ…Ρ‚ΠΎ нСсС світло Ρ‚Π° ΡΠΏΡ€ΠΈΡΡ” Π²Ρ–Π΄Π½ΠΎΠ²Π»Π΅Π½Π½ΡŽ ΠΊΡ€Π°Ρ—Π½ΠΈ.

    Π¨ΡƒΠΊΠ°Ρ”ΠΌΠΎ Middle Data ScientistΡ–st, для підсилСння Data Science-ΠΊΠΎΠΌΠ°Π½Π΄ΠΈ. Π―ΠΊΠΈΠΉ Π±ΡƒΠ΄Π΅ Π΄ΠΎΠ»ΡƒΡ‡Π΅Π½ΠΈΠΉ Π΄ΠΎ Π²ΠΈΠΊΠΎΠ½Π°Π½Π½Ρ ΠΏΠΎΠ²Π½ΠΎΠ³ΠΎ Ρ†ΠΈΠΊΠ»Ρƒ ΠΏΡ€ΠΎΠ΅ΠΊΡ‚Ρ–Π² β€” Π²Ρ–Π΄ Π°Π½Π°Π»Ρ–Π·Ρƒ Π΄Π°Π½ΠΈΡ… Π΄ΠΎ Π·Π°ΠΏΡƒΡΠΊΡƒ ΠΌΠΎΠ΄Π΅Π»Ρ– Ρƒ ΠΏΡ€ΠΎΠ΄Π°ΠΊΡˆΠ½, ΠΏΡ€Π°Ρ†ΡŽΡŽΡ‡ΠΈ Ρƒ ΠΊΡ€ΠΎΡ-Ρ„ΡƒΠ½ΠΊΡ†Ρ–ΠΎΠ½Π°Π»ΡŒΠ½Ρ–ΠΉ ΠΊΠΎΠΌΠ°Π½Π΄Ρ–.

     

    Π€ΡƒΠ½ΠΊΡ†Ρ–Ρ— посади:

    • Аналіз ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΠΈ Ρ‚Π° ΠΏΠΎΡΡ‚Π°Π½ΠΎΠ²ΠΊΠ° Π·Π°Π΄Π°Ρ‡Ρ–
    • Π—Π±Ρ–Ρ€, очищСння Ρ‚Π° ΠΏΡ–Π΄Π³ΠΎΡ‚ΠΎΠ²ΠΊΠ° Π΄Π°Π½ΠΈΡ…
    • МодСлювання Ρ‚Π° Π΅ΠΊΡΠΏΠ΅Ρ€ΠΈΠΌΠ΅Π½Ρ‚ΠΈ
    • Валідація Ρ‚Π° ΠΏΠΎΡΡΠ½Π΅Π½Π½Ρ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ–Π²
    • Бпівпраця Ρ‚Π° ΠΊΠΎΠΌΡƒΠ½Ρ–кація
    • ΠŸΠΎΠ»Ρ–ΠΏΡˆΠ΅Π½Π½Ρ процСсів Ρ‚Π° ΠΌΠ΅Π½Ρ‚орство
    • R&D Ρ‚Π° Ρ€ΠΎΠ·Π²ΠΈΡ‚ΠΎΠΊ СкспСртизи

     

    ΠŸΡ€ΠΎΡ„Π΅ΡΡ–ΠΉΠ½Ρ– ΠΊΠΎΠΌΠΏΠ΅Ρ‚Π΅Π½Ρ†Ρ–Ρ—:

    • Вміння Ρ‡Ρ–Ρ‚ΠΊΠΎ Ρ„ΠΎΡ€ΠΌΡƒΠ»ΡŽΠ²Π°Ρ‚ΠΈ Π·Π°Π΄Π°Ρ‡Ρƒ Ρ‚Π° ΡΡ‚Π°Π²ΠΈΡ‚ΠΈ питання
    • Вміння ΠΏΠΎΠ΄ΠΈΠ²ΠΈΡ‚ΠΈΡΡŒ Π½Π° ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΡƒ ΠΏΡ–Π΄ Ρ–Π½ΡˆΠΈΠΌ ΠΊΡƒΡ‚ΠΎΠΌ Π·ΠΎΡ€Ρƒ
    • Python (pandas, NumPy, scikit-learn), SQL; Π²ΠΏΠ΅Π²Π½Π΅Π½Π° Ρ€ΠΎΠ±ΠΎΡ‚Π° Π· Git.
    • ΠšΠ»Π°ΡΠΈΡ‡Π½Ρ– ML-Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌΠΈ (Gradient Boosting β€” XGBoost/LightGBM/CatBoost, Random Forest, Logistic/Linear Regression, k-NN); знання ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ–Π² рСгуляризації, крос-Π²Π°Π»Ρ–Π΄Π°Ρ†Ρ–Ρ— Ρ‚Π° ΠΏΡ–Π΄Π±ΠΎΡ€Ρƒ Π³Ρ–ΠΏΠ΅Ρ€ΠΏΠ°Ρ€Π°ΠΌΠ΅Ρ‚Ρ€Ρ–Π².
    • Ймовірнісні Ρ€ΠΎΠ·ΠΏΠΎΠ΄Ρ–Π»ΠΈ, ΠΏΠ΅Ρ€Π΅Π²Ρ–Ρ€ΠΊΠ° Π³Ρ–ΠΏΠΎΡ‚Π΅Π·, A/B-тСсти, Ρ–Π½Ρ‚Π΅ΠΏΡ€Π΅Ρ‚ΠΎΠ²Π°Π½Ρ–ΡΡ‚ΡŒ ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ.
    • PyTorch Π°Π±ΠΎ TensorFlow/Keras для Π·Π°Π΄Π°Ρ‡ CV Ρ‡ΠΈ NLP; уміння Π±ΡƒΠ΄ΡƒΠ²Π°Ρ‚ΠΈ Ρ‚Π° Ρ‚Ρ€Π΅Π½ΡƒΠ²Π°Ρ‚ΠΈ ΠΌΠΎΠ΄Π΅Π»Ρ– Π· TensorBoard-логуванням.
    • MLflow / Weights & Biases, Docker; Π±Π°Π·ΠΎΠ²Π΅ розуміння CI/CD для ML-ΠΏΠ°ΠΉΠΏΠ»Π°ΠΉΠ½Ρ–Π².
    • ΠŸΡ€Π°ΠΊΡ‚ΠΈΡ‡Π½ΠΈΠΉ досвід Ρƒ Ρ…ΠΎΡ‡Π° Π± ΠΎΠ΄Π½Ρ–ΠΉ Ρ–Π· ΠΏΠ»Π°Ρ‚Ρ„ΠΎΡ€ΠΌ (AWS, GCP, Azure) для розгортання Π°Π±ΠΎ трСнування ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ.
    • ΠΠ°ΡΠ²Π½Ρ–ΡΡ‚ΡŒ сСртифікації ΠΏΠΎ Data&AI
    • Вміння Π½Π΅Π·Π°Π»Π΅ΠΆΠ½ΠΎ пСрСвіряти Π²Ρ…Ρ–Π΄Π½Ρ– Π΄Π°Π½Ρ– Ρ‚Π° Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚
    • ΠΠ²Ρ‚ΠΎΠ½ΠΎΠΌΠ½Ρ–ΡΡ‚ΡŒ
    • ΠšΠΎΠΌΡƒΠ½Ρ–ΠΊΠ°Π±Π΅Π»ΡŒΠ½Ρ–ΡΡ‚ΡŒ

     

    Ми ΠΏΡ€ΠΎΠΏΠΎΠ½ΡƒΡ”ΠΌΠΎ:

    • ΠžΡ„Ρ–Ρ†Ρ–ΠΉΠ½Π΅ ΠΏΡ€Π°Ρ†Π΅Π²Π»Π°ΡˆΡ‚ΡƒΠ²Π°Π½Π½Ρ
    • KΠΎΠ½ΠΊΡƒΡ€Π΅Π½Ρ‚Π½ΠΈΠΉ Ρ€Ρ–Π²Π΅Π½ΡŒ Π·Π°Ρ€ΠΎΠ±Ρ–Ρ‚Π½ΠΎΡ— ΠΏΠ»Π°Ρ‚ΠΈ Ρ‚Π° ΡΠΎΡ†Ρ–Π°Π»ΡŒΠ½Ρ– Π³Π°Ρ€Π°Π½Ρ‚Ρ–Ρ—
    • ΠšΠΎΡ€ΠΏΠΎΡ€Π°Ρ‚ΠΈΠ²Π½Π° ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠ° ΠΌΠ΅Π΄ΠΈΡ‡Π½ΠΎΠ³ΠΎ страхування Ρ‚Π° ΠΏΡ€ΠΎΠ³Ρ€Π°ΠΌΠ° психологічної ΠΏΡ–Π΄Ρ‚Ρ€ΠΈΠΌΠΊΠΈ співробітників
    • Π ΠΎΠ±ΠΎΡ‚Ρƒ Π² Ρ–Π½Π½ΠΎΠ²Π°Ρ†Ρ–ΠΉΠ½ΠΎΠΌΡƒ ΠΏΠ°Ρ€ΠΊΡƒ Unit City
    • ΠœΠΎΠΆΠ»ΠΈΠ²ΠΎΡΡ‚Ρ– навчання Ρ‚Π° ΠΏΡ€ΠΎΡ„Ссійний Ρ€ΠΎΠ·Π²ΠΈΡ‚ΠΎΠΊ (ΠΎΠ½Π»Π°ΠΉΠ½ курси, Π°ΡƒΠ΄ΠΈΡ‚ΠΎΡ€Π½Ρ– Ρ‚Ρ€Π΅Π½Ρ–Π½Π³ΠΈ, майстСр-класи, профСсійні ΡΠΏΡ–Π»ΡŒΠ½ΠΎΡ‚ΠΈ)

     

    Ми Ρ†Ρ–Π½ΡƒΡ”ΠΌΠΎ ваш інтСрСс Π΄ΠΎ MODUS X Ρ‚Π° Π³ΠΎΡ‚ΠΎΠ²Π½Ρ–ΡΡ‚ΡŒ ΠΏΡ€ΠΈΠΉΠΌΠ°Ρ‚ΠΈ Π²ΠΈΠΊΠ»ΠΈΠΊΠΈ. Π’ΡƒΡ‚ ΠΊΠΎΠΆΠ΅Π½ ΠΌΠΎΠΆΠ΅ Ρ€ΠΎΠ·ΠΊΡ€ΠΈΡ‚ΠΈ свої Ρ‚Π°Π»Π°Π½Ρ‚ΠΈ ΠΉ Π·Ρ€ΠΎΠ±ΠΈΡ‚ΠΈ внСсок Ρƒ ΡΠΏΡ–Π»ΡŒΠ½ΠΈΠΉ успіх. Ми Ρ–нвСстуємо Π² Ρ€ΠΎΠ·Π²ΠΈΡ‚ΠΎΠΊ, Π΄ΠΎΠΏΠΎΠΌΠ°Π³Π°Ρ”ΠΌΠΎ ΠΎΡ‚Ρ€ΠΈΠΌΡƒΠ²Π°Ρ‚ΠΈ Π½ΠΎΠ²Ρ– знання Ρ‚Π° Π΄ΠΎΡΡΠ³Π°Ρ‚ΠΈ профСсійних Ρ†Ρ–Π»Π΅ΠΉ.

     

    Наша ΠΊΠΎΠΌΠ°Π½Π΄Π° ΡƒΠ²Π°ΠΆΠ½ΠΎ розглядає всі заявки, Ρ– ΡΠΊΡ‰ΠΎ ваша ΠΊΠ°Π½Π΄ΠΈΠ΄Π°Ρ‚ΡƒΡ€Π° Π²Ρ–Π΄ΠΏΠΎΠ²Ρ–Π΄Π°Ρ” Π²ΠΈΠΌΠΎΠ³Π°ΠΌ вакансії, Ρ€Π΅ΠΊΡ€ΡƒΡ‚Π΅Ρ€ обов’язково Π·Π²β€™ΡΠΆΠ΅Ρ‚ΡŒΡΡ Π· Π²Π°ΠΌΠΈ Π²ΠΏΡ€ΠΎΠ΄ΠΎΠ²ΠΆ 2 Ρ‚ΠΈΠΆΠ½Ρ–Π².

     

    Π‘Ρ–Π»ΡŒΡˆΠ΅ Ρ–Π½Ρ„ΠΎΡ€ΠΌΠ°Ρ†Ρ–Ρ— ΠΏΡ€ΠΎ ΠΊΠΎΠΌΠΏΠ°Π½Ρ–ΡŽ Ρ‚Π° Π½Π°Ρˆ досвід Π½Π° ΠΎΡ„Ρ–Ρ†Ρ–ΠΉΠ½Ρ–ΠΉ сторінці MODUS X Π² LinkedIn.

     

    ΠΠ°ΠΏΡ€Π°Π²Π»ΡΡŽΡ‡ΠΈ Ρ€Π΅Π·ΡŽΠΌΠ΅ Π½Π° Ρ†ΡŽ Π²Π°ΠΊΠ°Π½ΡΡ–ΡŽ, Π’ΠΈ Π½Π°Π΄Π°Ρ”Ρ‚Π΅ Π·Π³ΠΎΠ΄Ρƒ Π’ΠžΠ’ Β«ΠœΠžΠ”Π£Π‘ Π†ΠšΠ‘Β» Π½Π° ΠΎΠ±Ρ€ΠΎΠ±ΠΊΡƒ Π½Π°Π΄Π°Π½ΠΈΡ… Π’Π°ΠΌΠΈ ΠΏΠ΅Ρ€ΡΠΎΠ½Π°Π»ΡŒΠ½ΠΈΡ… Π΄Π°Π½ΠΈΡ… Π·Π³Ρ–Π΄Π½ΠΎ Π—Π°ΠΊΠΎΠ½Ρƒ Π£ΠΊΡ€Π°Ρ—Π½ΠΈ Β«ΠŸΡ€ΠΎ захист ΠΏΠ΅Ρ€ΡΠΎΠ½Π°Π»ΡŒΠ½ΠΈΡ… Π΄Π°Π½ΠΈΡ…Β». Π—Π³ΠΎΠ΄Π° Π½Π°Π΄Π°Ρ”Ρ‚ΡŒΡΡ Π² Ρ‚ΠΎΠΌΡƒ числі для Ρ—Ρ… ΠΎΠ±Ρ€ΠΎΠ±ΠΊΠΈ Π² Π·ΠΎΠ²Π½Ρ–ΡˆΠ½Ρ–Ρ… систСмах, Π· ΠΌΠ΅Ρ‚ΠΎΡŽ супроводТСння процСсу Π½Π°ΠΉΠΌΡƒ.

    More
  • Β· 26 views Β· 1 application Β· 17d

    Senior Data Scientist (Operational and Application Software)

    Full Remote Β· Ukraine Β· Product Β· 4 years of experience Β· Intermediate Ukrainian Product πŸ‡ΊπŸ‡¦
    ΠŸΡ€ΠΈΠ²Ρ–Ρ‚! Ми β€” TemaBit Fozzy Group β€” ΠΊΠΎΠΌΠ°Π½Π΄Π° Ρ„Π°Π½Π°Ρ‚Ρ–Π² Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³Ρ–ΠΉ, які Π·ΠΌΡ–Π½ΡŽΡŽΡ‚ΡŒ Π£ΠΊΡ€Π°Ρ—Π½Ρƒ. Ми Ρ” IT Ρ‡Π°ΡΡ‚ΠΈΠ½ΠΎΡŽ Fozzy Group β€” ΠΎΠ΄Π½Ρ–Ρ”Ρ— Π· Π½Π°ΠΉΠ±Ρ–Π»ΡŒΡˆΠΈΡ… Ρ‚ΠΎΡ€Π³ΠΎΠ²ΠΎ-промислових Π³Ρ€ΡƒΠΏ Π£ΠΊΡ€Π°Ρ—Π½ΠΈ. Π ΠΎΠ·Ρ€ΠΎΠ±ΠΊΠ°ΠΌΠΈ Π½Π°ΡˆΠΎΡ— ΠΊΠΎΠΌΠ°Π½Π΄ΠΈ щодня ΠΊΠΎΡ€ΠΈΡΡ‚ΡƒΡŽΡ‚ΡŒΡΡ 60 000 співробітників, тисячі ΠΏΠ°Ρ€Ρ‚Π½Π΅Ρ€Ρ–Π²...

    ΠŸΡ€ΠΈΠ²Ρ–Ρ‚!

    Ми β€” TemaBit Fozzy Group β€” ΠΊΠΎΠΌΠ°Π½Π΄Π° Ρ„Π°Π½Π°Ρ‚Ρ–Π² Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³Ρ–ΠΉ, які Π·ΠΌΡ–Π½ΡŽΡŽΡ‚ΡŒ Π£ΠΊΡ€Π°Ρ—Π½Ρƒ. Ми Ρ” IT Ρ‡Π°ΡΡ‚ΠΈΠ½ΠΎΡŽ Fozzy Group β€” ΠΎΠ΄Π½Ρ–Ρ”Ρ— Π· Π½Π°ΠΉΠ±Ρ–Π»ΡŒΡˆΠΈΡ… Ρ‚ΠΎΡ€Π³ΠΎΠ²ΠΎ-промислових Π³Ρ€ΡƒΠΏ Π£ΠΊΡ€Π°Ρ—Π½ΠΈ. Π ΠΎΠ·Ρ€ΠΎΠ±ΠΊΠ°ΠΌΠΈ Π½Π°ΡˆΠΎΡ— ΠΊΠΎΠΌΠ°Π½Π΄ΠΈ щодня ΠΊΠΎΡ€ΠΈΡΡ‚ΡƒΡŽΡ‚ΡŒΡΡ 60 000 ΡΠΏΡ–Π²Ρ€ΠΎΠ±Ρ–Ρ‚Π½ΠΈΠΊΡ–Π², тисячі ΠΏΠ°Ρ€Ρ‚Π½Π΅Ρ€Ρ–Π² Ρ‚Π° ΠΌΡ–Π»ΡŒΠΉΠΎΠ½ΠΈ гостСй Β«Π‘Ρ–Π»ΡŒΠΏΠΎΒ», Β«Π€ΠΎΡ€Π°Β», Fozzy, Thrash Ρ‚Π° Ρ–Π½ΡˆΠΈΡ… online Ρ– offline бізнСсів!

     

    Π—Π°ΠΏΡ€ΠΎΡˆΡƒΡ”ΠΌΠΎ Π΄ΠΎ ΠΊΠΎΠΌΠ°Π½Π΄ΠΈ Senior Data Scientist (Operational and Application Software).

     

    ΠšΠ»ΡŽΡ‡ΠΎΠ²ΠΈΠΉ Π²ΠΈΠΊΠ»ΠΈΠΊ β€” ΠΏΠ΅Ρ€Π΅Π±ΡƒΠ΄ΡƒΠ²Π°Ρ‚ΠΈ Ρ‚Π° Π²Π΄ΠΎΡΠΊΠΎΠ½Π°Π»ΠΈΡ‚ΠΈ ΠΏΡ–Π΄Ρ…ΠΎΠ΄ΠΈ Π΄ΠΎ ΠΏΡ€ΠΎΠ³Π½ΠΎΠ·ΡƒΠ²Π°Π½Π½Ρ ΠΏΠΎΡ‚Ρ€Π΅Π±ΠΈ Π² ΠΏΠ΅Ρ€ΡΠΎΠ½Π°Π»Ρ– Π² ΠΌΠ°Π³Π°Π·ΠΈΠ½Π°Ρ… Β«Π‘Ρ–Π»ΡŒΠΏΠΎΒ». ΠœΠ΅Ρ‚Π° β€” Π½Π° ΠΎΡΠ½ΠΎΠ²Ρ– Π³Π»ΠΈΠ±ΠΎΠΊΠΎΠ³ΠΎ Π°Π½Π°Π»Ρ–Π·Ρƒ Π΄Π°Π½ΠΈΡ… Π·Π°ΠΏΡ€ΠΎΠΏΠΎΠ½ΡƒΠ²Π°Ρ‚ΠΈ Ρ‚Π° Ρ€Π΅Π°Π»Ρ–Π·ΡƒΠ²Π°Ρ‚ΠΈ Ρ€Ρ–ΡˆΠ΅Π½Π½Ρ, які Π΄ΠΎΠΏΠΎΠΌΠΎΠΆΡƒΡ‚ΡŒ Π·Π°Π±Π΅Π·ΠΏΠ΅Ρ‡ΠΈΡ‚ΠΈ Ρ€Ρ–Π²Π΅Π½ΡŒ сСрвісу Ρ‚Π° Π½Π°ΡΠ²Π½Ρ–ΡΡ‚ΡŒ асортимСнту, Ρ‰ΠΎ ΠΏΠ΅Ρ€Π΅Π²ΠΈΡ‰ΡƒΡ” очікування ГостСй.

     

    Π—ΠΎΠ½ΠΈ Π²Ρ–Π΄ΠΏΠΎΠ²Ρ–Π΄Π°Π»ΡŒΠ½ΠΎΡΡ‚Ρ–:

    ● Ρ€ΠΎΠ·Ρ€ΠΎΠ±ΠΊΠ° ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ прогнозування: ΡƒΡ‡Π°ΡΡ‚ΡŒ Ρƒ Ρ€ΠΎΠ·Ρ€ΠΎΠ±Ρ†Ρ– Ρ‚Π° Π²Π΄ΠΎΡΠΊΠΎΠ½Π°Π»Π΅Π½Π½Ρ– Π»ΠΎΠ³Ρ–ΠΊΠΈ ΠΉ ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ»ΠΎΠ³Ρ–Ρ— Ρ€ΠΎΠ·Ρ€Π°Ρ…ΡƒΠ½ΠΊΡƒ ΠΏΠΎΡ‚Ρ€Π΅Π±ΠΈ Π² ΠΏΠ΅Ρ€ΡΠΎΠ½Π°Π»Ρ– для всіх Π΅Ρ‚Π°ΠΏΡ–Π² supply chain (склади, логістика, ΠΌΠ°Π³Π°Π·ΠΈΠ½ΠΈ);

    ● оптимізація рСсурсів: Π°Π½Π°Π»Ρ–Π· Π΄Π°Π½ΠΈΡ… для ΠΏΠΎΡˆΡƒΠΊΡƒ моТливостСй Π· ΠΎΠΏΡ‚ΠΈΠΌΡ–Π·Π°Ρ†Ρ–Ρ— Ρ€ΠΎΠ·ΠΏΠΎΠ΄Ρ–Π»Ρƒ Π»ΡŽΠ΄ΡΡŒΠΊΠΈΡ… рСсурсів Π·Π°Π»Π΅ΠΆΠ½ΠΎ Π²Ρ–Π΄ сСзонності, ΠΏΠΎΠΏΠΈΡ‚Ρƒ Ρ‚Π° ΠΎΠΏΠ΅Ρ€Π°Ρ†Ρ–ΠΉΠ½ΠΎΠ³ΠΎ навантаТСння, Π° Ρ‚Π°ΠΊΠΎΠΆ формування Ρ€Π΅ΠΊΠΎΠΌΠ΅Π½Π΄Π°Ρ†Ρ–ΠΉ;

    ● створСння Ρ€Π΅ΠΊΠΎΠΌΠ΅Π½Π΄Π°Ρ†Ρ–ΠΉΠ½ΠΈΡ… систСм: Ρ€ΠΎΠ·Ρ€ΠΎΠ±ΠΊΠ° бізнСс-Π»ΠΎΠ³Ρ–ΠΊΠΈ Ρ‚Π° ΠΏΡ€Π°Π²ΠΈΠ» для Π°Π²Ρ‚ΠΎΠΌΠ°Ρ‚ΠΈΠ·ΠΎΠ²Π°Π½ΠΎΠ³ΠΎ планування Π·ΠΌΡ–Π½, Ρ€ΠΎΡ‚Π°Ρ†Ρ–Ρ— пСрсоналу Ρ‚Π° Π½Π°ΠΉΠΌΡƒ;

    ● Π°Π½Π°Π»Ρ–Π· СфСктивності: Π°Π½Π°Π»Ρ–Π· продуктивності пСрсоналу Π² Π»Π°Π½Ρ†ΡŽΠΆΠΊΡƒ постачання, Ρ€ΠΎΠ·Ρ€ΠΎΠ±ΠΊΠ° Ρ‚Π° Π²Π°Π»Ρ–дація ΠΊΠ»ΡŽΡ‡ΠΎΠ²ΠΈΡ… KPI Ρ‚Π° ΠΌΠ΅Ρ‚Ρ€ΠΈΠΊ ΠΎΡ†Ρ–Π½ΠΊΠΈ;

    ● ΠΏΠΎΠ±ΡƒΠ΄ΠΎΠ²Π° Π΄Π°ΡˆΠ±ΠΎΡ€Π΄Ρ–Π²: створСння комплСксних Π΄Π°ΡˆΠ±ΠΎΡ€Π΄Ρ–Π² Ρ‚Π° Π·Π²Ρ–тності для HR Ρ– ΠΎΠΏΠ΅Ρ€Π°Ρ†Ρ–ΠΉΠ½ΠΈΡ… ΠΌΠ΅Π½Π΅Π΄ΠΆΠ΅Ρ€Ρ–Π², візуалізація ΠΊΠ»ΡŽΡ‡ΠΎΠ²ΠΈΡ… HR-ΠΌΠ΅Ρ‚Ρ€ΠΈΠΊ для ΠΌΠΎΠ½Ρ–Ρ‚ΠΎΡ€ΠΈΠ½Π³Ρƒ Ρ‚Π° ΠΏΡ€ΠΈΠΉΠ½ΡΡ‚тя Ρ€Ρ–ΡˆΠ΅Π½ΡŒ;

    ● крос-Ρ„ΡƒΠ½ΠΊΡ†Ρ–ΠΎΠ½Π°Π»ΡŒΠ½Π° взаємодія: тісна співпраця Π· HR, логістичними Ρ‚Π° ΠΎΠΏΠ΅Ρ€Π°Ρ†Ρ–ΠΉΠ½ΠΈΠΌΠΈ ΠΊΠΎΠΌΠ°Π½Π΄Π°ΠΌΠΈ для впровадТСння data-driven ΠΏΡ–Π΄Ρ…ΠΎΠ΄Ρ–Π² Ρ‚Π° ΠΏΠΎΡΡΠ½Π΅Π½Π½Ρ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ–Π² Π°Π½Π°Π»Ρ–Ρ‚ΠΈΠΊΠΈ.

     

    Наш Ρ–Π΄Π΅Π°Π»ΡŒΠ½ΠΈΠΉ ΠΊΠ°Π½Π΄ΠΈΠ΄Π°Ρ‚:

    ● ΠΌΠ°Ρ” Ρ„ΡƒΠ½Π΄Π°ΠΌΠ΅Π½Ρ‚Π°Π»ΡŒΠ½Ρƒ ΠΌΠ°Ρ‚Π΅ΠΌΠ°Ρ‚ΠΈΡ‡Π½Ρƒ, Ρ–Π½ΠΆΠ΅Π½Π΅Ρ€Π½Ρƒ освіту Π°Π±ΠΎ освіту Π² Π³Π°Π»ΡƒΠ·Ρ– Ρ„Ρ–Π·ΠΈΠΊΠΈ;

    ● ΠΌΠ°Ρ” Π²Ρ–Π΄ 4 Ρ€ΠΎΠΊΡ–Π² досвіду Π½Π° ΠΏΠΎΠ·ΠΈΡ†Ρ–Ρ— Data Science;

    ● Π²ΠΏΠ΅Π²Π½Π΅Π½ΠΎ використовує Python (Π·ΠΎΠΊΡ€Π΅ΠΌΠ°, pandas) для Π°Π½Π°Π»Ρ–Π·Ρƒ Ρ‚Π° ΠΎΠ±Ρ€ΠΎΠ±ΠΊΠΈ Π΄Π°Π½ΠΈΡ…;

    ● Π²Ρ–Π΄ΠΌΡ–Π½Π½ΠΎ Π²ΠΎΠ»ΠΎΠ΄Ρ–Ρ” SQL для Ρ€ΠΎΠ±ΠΎΡ‚ΠΈ Π·Ρ– ΡΠΊΠ»Π°Π΄Π½ΠΈΠΌΠΈ Π·Π°ΠΏΠΈΡ‚Π°ΠΌΠΈ Ρ‚Π° Π²Π΅Π»ΠΈΠΊΠΈΠΌΠΈ масивами Π΄Π°Π½ΠΈΡ…;

    ● дослідТує Π΄Π°Π½Ρ–, Π·Π½Π°Ρ…ΠΎΠ΄ΠΈΡ‚ΡŒ Π½Π΅ΠΎΡ‡Π΅Π²ΠΈΠ΄Π½Ρ– зв’язки Ρ‚Π° ΠΏΡ€ΠΎΠΏΠΎΠ½ΡƒΡ” власні способи Ρ€ΠΎΠ·Ρ€Π°Ρ…ΡƒΠ½ΠΊΡ–Π²

     

    Π‘ΡƒΠ΄Π΅ ΠΏΠ΅Ρ€Π΅Π²Π°Π³ΠΎΡŽ:

    ● досвід Ρƒ ΡΡ‚Π²ΠΎΡ€Π΅Π½Π½Ρ– складних Ρ–Π½Ρ‚Π΅Ρ€Π°ΠΊΡ‚ΠΈΠ²Π½ΠΈΡ… Π΄Π°ΡˆΠ±ΠΎΡ€Π΄Ρ–Π² Π² Power BI Π°Π±ΠΎ Ρ–Π½ΡˆΡ–ΠΉ BI ΡΠΈΡΡ‚Π΅ΠΌΡ–;

    ● досвід Ρ€ΠΎΠ±ΠΎΡ‚ΠΈ Ρƒ ΡΡ„Π΅Ρ€Ρ– Ρ€ΠΈΡ‚Π΅ΠΉΠ»Ρƒ, логістики Π°Π±ΠΎ workforce management;

    ● розуміння Π±Π°Π·ΠΎΠ²ΠΈΡ… ΠΏΡ€ΠΈΠ½Ρ†ΠΈΠΏΡ–Π² машинного навчання (прогнозування, класифікація) Ρ‚Π° Π΄ΠΎΡΠ²Ρ–Π΄ Ρ€ΠΎΠ±ΠΎΡ‚ΠΈ Π· Π±Ρ–Π±Π»Ρ–ΠΎΡ‚Π΅ΠΊΠΎΡŽ scikit-learn;

    ● досвід Ρ€ΠΎΠ±ΠΎΡ‚ΠΈ Π· Apache Spark.

     

    Ми ΠΏΡ€ΠΎΠΏΠΎΠ½ΡƒΡ”ΠΌΠΎ:

    ● ΠΌΠΎΠΆΠ»ΠΈΠ²Ρ–ΡΡ‚ΡŒ Π²Ρ–Π΄Π΄Π°Π»Π΅Π½ΠΎΡ— Ρ€ΠΎΠ±ΠΎΡ‚ΠΈ;

    ● ΠΌΠ΅Π΄ΠΈΡ‡Π½Π΅ Ρ– Ρ€ΠΈΠ·ΠΈΠΊΠΎΠ²Π΅ страхування Тиття;

    ● ΠΏΡ–Π΄Ρ‚Ρ€ΠΈΠΌΠΊΠ° ЀОП/Π“Π†Π“- ΠΊΠΎΠ½Ρ‚Ρ€Π°ΠΊΡ‚Ρƒ;

    ● Π·Π½ΠΈΠΆΠΊΠΈ Ρƒ ΠΌΠ°Π³Π°Π·ΠΈΠ½Π°Ρ… Ρ‚Π° Ρ€Π΅ΡΡ‚ΠΎΡ€Π°Π½Π°Ρ… Fozzy Group;

    ● психологічна ΠΏΡ–Π΄Ρ‚Ρ€ΠΈΠΌΠΊΠ°;

    ● Ρ‚ΡƒΡ€Π±ΠΎΡ‚Π»ΠΈΠ²Ρƒ ΠΊΠΎΡ€ΠΏΠΎΡ€Π°Ρ‚ΠΈΠ²Π½Ρƒ ΠΊΡƒΠ»ΡŒΡ‚ΡƒΡ€Ρƒ, яку ΠΌΠΈ Ρ€Π°Π·ΠΎΠΌ Π· Ρ‚ΠΎΠ±ΠΎΡŽ Π±ΡƒΠ΄Π΅ΠΌΠΎ Ρ€ΠΎΠ·Π²ΠΈΠ²Π°Ρ‚ΠΈ;

    ● ΠΊΠΎΠΌΠ°Π½Π΄Ρƒ, Π· ΡΠΊΠΎΡŽ Ρ‚ΠΈ Π·ΠΌΠΎΠΆΠ΅Ρˆ Ρ€Π΅Π°Π»Ρ–Π·ΡƒΠ²Π°Ρ‚ΠΈ свої Ρ–Π΄Π΅Ρ—, СкспСримСнтувати Ρ– Π²Ρ–Π΄Ρ‡ΡƒΠ²Π°Ρ‚ΠΈ сСбС Π² ΠΊΠΎΠ»Ρ– Π΄Ρ€ΡƒΠ·Ρ–Π²;

    ● Ρ– Ρ†Ρ–Π»Π° ΠΊΡƒΠΏΠ° Ρ‚ΡƒΡ€Π±ΠΎΡ‚ΠΈΠ½ΠΎΠΊ (страхування (Π² Π£ΠΊΡ€Π°Ρ—Π½Ρ–), Π·Π½ΠΈΠΆΠΊΠΈ Π² Π½Π°ΡˆΠΈΡ… бізнСсах Ρ‚Π° Ρƒ ΠΏΠ°Ρ€Ρ‚Π½Π΅Ρ€Ρ–Π²).

    More
  • Β· 85 views Β· 7 applications Β· 26d

    Data Scientist (Research and Development)

    Full Remote Β· Countries of Europe or Ukraine Β· Product Β· 2 years of experience Β· Intermediate Ukrainian Product πŸ‡ΊπŸ‡¦
    TemaBit Fozzy Group β€” Ρ†Π΅ Π±Ρ–Π»ΡŒΡˆ як тисяча IT-профСсіоналів, ΠΏΠΎΠ½Π°Π΄ 20 Ρ€ΠΎΠΊΡ–Π² досвіду Ρ‚Π° сотні Ρ€Π΅Π°Π»Ρ–Π·ΠΎΠ²Π°Π½ΠΈΡ… кСйсів. TemaBit ΡΡ‚Π²ΠΎΡ€ΡŽΡ” ΠΎΡ€ΠΈΠ³Ρ–Π½Π°Π»ΡŒΠ½Ρ– end-to-end Ρ€Ρ–ΡˆΠ΅Π½Π½Ρ: ΡΠΏΠ΅Ρ†Ρ–Π°Π»Ρ–Π·ΡƒΡ”Ρ‚ΡŒΡΡ Π½Π° Π²Π΅Π±- Ρ‚Π° ΠΌΠΎΠ±Ρ–Π»ΡŒΠ½Ρ–ΠΉ Ρ€ΠΎΠ·Ρ€ΠΎΠ±Ρ†Ρ–, Π° Ρ‚Π°ΠΊΠΎΠΆ софті для ΠΌΠ΅Π½Π΅Π΄ΠΆΠΌΠ΅Π½Ρ‚Ρƒ бізнСс-процСсів Ρ‚Π°...

    TemaBit Fozzy Group β€” Ρ†Π΅ Π±Ρ–Π»ΡŒΡˆ як Ρ‚исяча IT-профСсіоналів, ΠΏΠΎΠ½Π°Π΄ 20 Ρ€ΠΎΠΊΡ–Π² досвіду Ρ‚Π° ΡΠΎΡ‚Π½Ρ– Ρ€Π΅Π°Π»Ρ–Π·ΠΎΠ²Π°Π½ΠΈΡ… кСйсів.

    TemaBit ΡΡ‚Π²ΠΎΡ€ΡŽΡ” ΠΎΡ€ΠΈΠ³Ρ–Π½Π°Π»ΡŒΠ½Ρ– end-to-end Ρ€Ρ–ΡˆΠ΅Π½Π½Ρ: ΡΠΏΠ΅Ρ†Ρ–Π°Π»Ρ–Π·ΡƒΡ”Ρ‚ΡŒΡΡ Π½Π° Π²Π΅Π±- Ρ‚Π° ΠΌΠΎΠ±Ρ–Π»ΡŒΠ½Ρ–ΠΉ Ρ€ΠΎΠ·Ρ€ΠΎΠ±Ρ†Ρ–, Π° Ρ‚Π°ΠΊΠΎΠΆ софті для ΠΌΠ΅Π½Π΅Π΄ΠΆΠΌΠ΅Π½Ρ‚Ρƒ бізнСс-процСсів Ρ‚Π° Ρ–нфраструктурних ΠΏΡ€ΠΎΡ”ΠΊΡ‚Π°Ρ….

     

    Власний R&D Ρ†Π΅Π½Ρ‚Ρ€ «Лабораторія 3Π†Β» СкспСримСнтує Π· Π½ΠΎΠ²ΠΈΠΌΠΈ тСхнологіями. Π’ΡƒΡ‚ Π½Π°Ρ€ΠΎΠ΄ΠΆΡƒΡŽΡ‚ΡŒΡΡ Ρ–Π΄Π΅Ρ— Ρ–Π· Π·Π°ΡΡ‚осуванням ΡˆΡ‚ΡƒΡ‡Π½ΠΎΠ³ΠΎ Ρ–Π½Ρ‚Π΅Π»Π΅ΠΊΡ‚Ρƒ, машинного навчання, ΠΊΠΎΠΌΠΏβ€™ΡŽΡ‚Π΅Ρ€Π½ΠΎΠ³ΠΎ Π·ΠΎΡ€Ρƒ Ρ– Ρ€ΠΎΠ±ΠΎΡ‚Ρ–Π².

    Ми ΠΏΡ€Π°Ρ†ΡŽΡ”ΠΌΠΎ Π½Π°Π΄ тСхнологіями, які Π½Π°Π±Π»ΠΈΠΆΠ°ΡŽΡ‚ΡŒ Π½Π°ΡˆΡƒ ΠŸΠ΅Ρ€Π΅ΠΌΠΎΠ³Ρƒ Ρ‚Π° Π²ΡΡ–ляко ΠΏΡ–Π΄Ρ‚Ρ€ΠΈΠΌΡƒΡ”ΠΌΠΎ Гостя.

     

    Ми ΠΏΡ€Π°Ρ†ΡŽΡ”ΠΌΠΎ Ρƒ Π³Ρ–Π±Ρ€ΠΈΠ΄Π½ΠΎΠΌΡƒ Ρ„ΠΎΡ€ΠΌΠ°Ρ‚Ρ–, Π° Π½Π°ΡˆΠΈΠΌ офісам Π½Π΅ ΡΡ‚Ρ€Π°ΡˆΠ½Ρ– Π±Π»Π΅ΠΊΠ°ΡƒΡ‚ΠΈ: Π³Π΅Π½Π΅Ρ€Π°Ρ‚ΠΎΡ€ΠΈ Ρ‚Π° ΡΡ‚Π°Ρ€Π»Ρ–Π½ΠΊΠΈ Ρƒ ΠΏΠΎΠΌΡ–Ρ‡ тСхногСроям. А Ρ‰Π΅ β€” Ρƒ Π½Π°Ρ Π½Π΅ΠΌΠ°Ρ” обов’язкових Π³ΠΎΠ΄ΠΈΠ½ Ρ€ΠΎΠ±ΠΎΡ‚ΠΈ, Ρ‚ΠΈ ΡΠ°ΠΌ Π²ΠΈΠ·Π½Π°Ρ‡Π°Ρ”Ρˆ свій Π³Ρ€Π°Ρ„Ρ–ΠΊ. Для нас Π³ΠΎΠ»ΠΎΠ²Π½Π΅ β€” Ρ†Π΅ ΠΏΠΎΠ·ΠΈΡ‚ΠΈΠ²Π½Π° Π΅Ρ„Π΅ΠΊΡ‚ΠΈΠ²Π½Π° співпраця Ρ‚Π° ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚, Ρ‰ΠΎ ΠΏΡ€Π°Ρ†ΡŽΡ”, Π° ΠΏΡ€ΠΎ Ρ€Π΅ΡˆΡ‚Ρƒ домовимося!

     

    Наш dream ΠΊΠ°Π½Π΄ΠΈΠ΄Π°Ρ‚ Ρ‡ΠΈ ΠΊΠ°Π½Π΄ΠΈΠ΄Π°Ρ‚ΠΊΠ°:

    • ΠΌΠ°Ρ” досвід Π½Π΅ ΠΌΠ΅Π½ΡˆΠ΅, Π½Ρ–ΠΆ 2 Ρ€ΠΎΠΊΠΈ Π½Π° Π°Π½Π°Π»ΠΎΠ³Ρ–Ρ‡Π½Ρ–ΠΉ посаді Π² ΡΡ„Π΅Ρ€Ρ– Data Science;
    • Π²ΠΏΠ΅Π²Π½Π΅Π½ΠΎ Π²ΠΎΠ»ΠΎΠ΄Ρ–Ρ” Python 3.x Ρ‚Π° ΠΌΠ°Ρ” знання ΠΏΡ€ΠΈΠ½Ρ†ΠΈΠΏΡ–Π² Clean Code, стандартів PEP;
    • Π΄ΠΎΠ±Ρ€Π΅ Π²ΠΎΠ»ΠΎΠ΄Ρ–Ρ” SQL;
    • Π·Π½Π°Ρ” систСми ΠΊΠΎΠ½Ρ‚Ρ€ΠΎΠ»ΡŽ вСрсій (Git);
    • Ρ€ΠΎΠ·ΡƒΠΌΡ–Ρ” MLOps ΠΏΡ€Π°ΠΊΡ‚ΠΈΠΊΠΈ (ΠΏΠ°ΠΉΠΏΠ»Π°ΠΉΠ½ΠΈ, валідація, автоматизація Ρ‚Ρ€Π΅Π½ΡƒΠ²Π°Π½ΡŒ, вСрсіонування ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ/Π΄Π°Π½ΠΈΡ…, візуалізація ΠΌΠ΅Ρ‚Ρ€ΠΈΠΊ);
    • ΠΌΠ°Ρ” досвід Π· Ρ–нструмСнтами: pandas, polars, poetry.

     

    Π‘ΡƒΠ΄Π΅ плюсом:

    • ΠΏΡ€Π°ΠΊΡ‚ΠΈΠΊΠ° Π· Ρ…ΠΌΠ°Ρ€Π½ΠΈΠΌΠΈ сСрвісами (особливо AWS);
    • досвід Ρ€ΠΎΠ±ΠΎΡ‚ΠΈ Π· deep learning Ρ„Ρ€Π΅ΠΉΠΌΠ²ΠΎΡ€ΠΊΠ°ΠΌΠΈ: TensorFlow, Keras, PyTorch;
    • знання Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³Ρ–ΠΉ Big Data: PySpark, Vaex, Dask, Apache Beam;
    • досвід Ρ€ΠΎΠ±ΠΎΡ‚ΠΈ Π· Ρ‡Π°ΡΠΎΠ²ΠΈΠΌΠΈ рядами (ARIMA, RNN, STL, бСктСстинг, крос-валідація ΠΏΠΎ Ρ‡Π°ΡΡƒ);
    • досвід Ρ–ΠΌΠΏΠ»Π΅ΠΌΠ΅Π½Ρ‚Π°Ρ†Ρ–Ρ— Π½Π°ΡƒΠΊΠΎΠ²ΠΈΡ… ΠΏΡƒΠ±Π»Ρ–ΠΊΠ°Ρ†Ρ–ΠΉ Ρƒ ΠΊΠΎΠ΄;
    • сСртифікати ML/AI курсів (Coursera, edX Ρ‚ΠΎΡ‰ΠΎ);
    • ΡƒΡ‡Π°ΡΡ‚ΡŒ Π°Π±ΠΎ ΠΏΠ΅Ρ€Π΅ΠΌΠΎΠ³ΠΈ Π² ML-змаганнях (Kaggle, Zindi, Ρ‚ΠΎΡ‰ΠΎ).

     

    Π’ΠΈ Π±ΡƒΠ΄Π΅Ρˆ Π²Ρ–Π΄ΠΏΠΎΠ²Ρ–Π΄Π°Ρ‚ΠΈ Π·Π°:

    • Ρ€ΠΎΠ·Ρ€ΠΎΠ±ΠΊΡƒ Ρ‚Π° Π²Π΄ΠΎΡΠΊΠΎΠ½Π°Π»Π΅Π½Π½Ρ ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ машинного навчання для Ρ€Π΅ΠΊΠΎΠΌΠ΅Π½Π΄Π°Ρ†Ρ–Ρ— Ρ†Ρ–Π½ Ρ‚Π° Π·Π½ΠΈΠΆΠΎΠΊ Π½Π° Ρ‚ΠΎΠ²Π°Ρ€ΠΈ;
    • Π°Π½Π°Π»Ρ–Π· Π΄Π°Π½ΠΈΡ… для Ρ–Π΄Π΅Π½Ρ‚ΠΈΡ„Ρ–ΠΊΠ°Ρ†Ρ–Ρ— Ρ‚Π΅Π½Π΄Π΅Π½Ρ†Ρ–ΠΉ Ρ‚Π° ΡˆΠ°Π±Π»ΠΎΠ½Ρ–Π², які ΠΌΠΎΠΆΡƒΡ‚ΡŒ Π²ΠΏΠ»ΠΈΠ½ΡƒΡ‚ΠΈ Π½Π° Ρ†Ρ–ноутворСння Ρ‚Π° Π·Π½ΠΈΠΆΠΊΠΈ;
    • ΡΠΏΡ–Π²ΠΏΡ€Π°Ρ†ΡŽ Π· ΠΊΠΎΠΌΠ°Π½Π΄ΠΎΡŽ ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚Ρƒ для визначСння Π²ΠΈΠΌΠΎΠ³ Π΄ΠΎ Π΄Π°Π½ΠΈΡ… Ρ– Ρ„ормування стратСгії Π·Π±ΠΎΡ€Ρƒ Π΄Π°Π½ΠΈΡ…;
    • Ρ€ΠΎΠ·Ρ€ΠΎΠ±ΠΊΡƒ Ρ– Π²ΠΏΡ€ΠΎΠ²Π°Π΄ΠΆΠ΅Π½Π½Ρ систСм ΠΌΠΎΠ½Ρ–Ρ‚ΠΎΡ€ΠΈΠ½Π³Ρƒ Ρ‚Π° ΠΎΡ†Ρ–Π½ΠΊΠΈ СфСктивності використаних ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ;
    • ΠΏΡ–Π΄Π³ΠΎΡ‚ΠΎΠ²ΠΊΡƒ Ρ‚Π° ΠΏΡ€Π΅Π·Π΅Π½Ρ‚Π°Ρ†Ρ–ΡŽ Π°Π½Π°Π»Ρ–Ρ‚ΠΈΡ‡Π½ΠΈΡ… Π·Π²Ρ–Ρ‚Ρ–Π² для ΠΊΠ΅Ρ€Ρ–Π²Π½ΠΈΡ†Ρ‚Π²Π° Π· Ρ†Ρ–Π»Π»ΡŽ пояснити Ρ€Ρ–ΡˆΠ΅Π½Π½Ρ ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ Ρ‚Π° Π²ΠΏΠ»ΠΈΠ² Π½Π° Π±Ρ–знСс-Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΈ.

     

    Ми ΠΏΡ€ΠΎΠΏΠΎΠ½ΡƒΡ”ΠΌΠΎ:

    • ΠΌΠΎΠΆΠ»ΠΈΠ²Ρ–ΡΡ‚ΡŒ Π²Ρ–Π΄Π΄Π°Π»Π΅Π½ΠΎΡ— Ρ€ΠΎΠ±ΠΎΡ‚ΠΈ Π°Π±ΠΎ офіс Π· Π³Π΅Π½Π΅Ρ€Π°Ρ‚ΠΎΡ€ΠΎΠΌ Ρ‚Π° ΡΡ‚Π°Ρ€Π»Ρ–Π½ΠΊΠΎΠΌ;
    • Π³Π½ΡƒΡ‡ΠΊΠΈΠΉ Π³Ρ€Π°Ρ„Ρ–ΠΊ;
    • ΠΌΠ΅Π΄ΠΈΡ‡Π½Π΅ страхування;
    • Ρ€ΠΈΠ·ΠΈΠΊΠΎΠ²Π΅ страхування Тиття;
    • ΠΏΡ–Π΄Ρ‚Ρ€ΠΈΠΌΠΊΠ° ЀОП/Π“Π†Π“- ΠΊΠΎΠ½Ρ‚Ρ€Π°ΠΊΡ‚;
    • Π·Π½ΠΈΠΆΠΊΠΈ Ρƒ ΠΌΠ°Π³Π°Π·ΠΈΠ½Π°Ρ… Ρ‚Π° Ρ€Π΅ΡΡ‚ΠΎΡ€Π°Π½Π°Ρ… Fozzy Group;
    • психологічна ΠΏΡ–Π΄Ρ‚Ρ€ΠΈΠΌΠΊΠ°;
    • Ρ‚ΡƒΡ€Π±ΠΎΡ‚Π»ΠΈΠ²Ρƒ ΠΊΠΎΡ€ΠΏΠΎΡ€Π°Ρ‚ΠΈΠ²Π½Ρƒ ΠΊΡƒΠ»ΡŒΡ‚ΡƒΡ€Ρƒ, яку ΠΌΠΈ Ρ€Π°Π·ΠΎΠΌ Π· Ρ‚ΠΎΠ±ΠΎΡŽ Π±ΡƒΠ΄Π΅ΠΌΠΎ Ρ€ΠΎΠ·Π²ΠΈΠ²Π°Ρ‚ΠΈ;
    • ΠΊΠΎΠΌΠ°Π½Π΄Ρƒ, Π· ΡΠΊΠΎΡŽ Ρ‚ΠΈ Π·ΠΌΠΎΠΆΠ΅Ρˆ Ρ€Π΅Π°Π»Ρ–Π·ΡƒΠ²Π°Ρ‚ΠΈ свої Ρ–Π΄Π΅Ρ—, СкспСримСнтувати Ρ– Π²Ρ–Π΄Ρ‡ΡƒΠ²Π°Ρ‚ΠΈ сСбС Π² ΠΊΠΎΠ»Ρ– Π΄Ρ€ΡƒΠ·Ρ–Π²;
    • Ρ– Ρ†Ρ–Π»Π° ΠΊΡƒΠΏΠ° Ρ‚ΡƒΡ€Π±ΠΎΡ‚ΠΈΠ½ΠΎΠΊ (страхування (Π² Π£ΠΊΡ€Π°Ρ—Π½Ρ–), Π·Π½ΠΈΠΆΠΊΠΈ Π² Π½Π°ΡˆΠΈΡ… бізнСсах Ρ‚Π° Ρƒ ΠΏΠ°Ρ€Ρ‚Π½Π΅Ρ€Ρ–Π²).
    More
  • Β· 71 views Β· 9 applications Β· 13d

    Data Scientist (CVM)

    Full Remote Β· Countries of Europe or Ukraine Β· Product Β· 2 years of experience Β· Intermediate Ukrainian Product πŸ‡ΊπŸ‡¦
    ΠŸΡ€ΠΈΠ²Ρ–Ρ‚! Ми β€” E-Com β€” ΠΊΠΎΠΌΠ°Π½Π΄Π° Π·Π°ΠΊΠΎΡ…Π°Π½ΠΈΡ… Ρƒ Foodtech Ρ‚Π° ΡƒΠΊΡ€Π°Ρ—Π½ΡΡŒΠΊΠΈΠΉ ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚. Ми β€” ΠΎΠΊΡ€Π΅ΠΌΠΈΠΉ Π°ΠΌΠ±Ρ–Ρ‚Π½ΠΈΠΉ стартап Π² Ρ€Π°ΠΌΠΊΠ°Ρ… ΠΏΠΎΡ‚ΡƒΠΆΠ½ΠΎΡ— ΠΊΠΎΠΌΠΏΠ°Π½Ρ–Ρ—. Π— ΠΊΡ€ΡƒΡ‚ΠΎΡŽ сильною командою Ρ‚Π° Π²Π΅Π»ΠΈΠΊΠΈΠΌΠΈ мріями. А Ρ‰Π΅ β€” ΠΌΠΈ Π»Π°ΠΌΠ°Ρ”ΠΌΠΎ стСрСотипи, Ρ‰ΠΎ Ρ€ΠΈΡ‚Π΅ΠΉΠ» β€” Ρ‚ΠΎ лишС ΠΏΡ€ΠΎ ΠΏΠΎΠΌΡ–Π΄ΠΎΡ€Ρ‡ΠΈΠΊΠΈ....

    ΠŸΡ€ΠΈΠ²Ρ–Ρ‚!

    Ми β€” E-Com β€” ΠΊΠΎΠΌΠ°Π½Π΄Π° Π·Π°ΠΊΠΎΡ…Π°Π½ΠΈΡ… Ρƒ Foodtech Ρ‚Π° ΡƒΠΊΡ€Π°Ρ—Π½ΡΡŒΠΊΠΈΠΉ ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚.

     

    Ми β€” ΠΎΠΊΡ€Π΅ΠΌΠΈΠΉ Π°ΠΌΠ±Ρ–Ρ‚Π½ΠΈΠΉ стартап Π² Ρ€Π°ΠΌΠΊΠ°Ρ… ΠΏΠΎΡ‚ΡƒΠΆΠ½ΠΎΡ— ΠΊΠΎΠΌΠΏΠ°Π½Ρ–Ρ—. Π— ΠΊΡ€ΡƒΡ‚ΠΎΡŽ сильною командою Ρ‚Π° Π²Π΅Π»ΠΈΠΊΠΈΠΌΠΈ мріями.

     

    А Ρ‰Π΅ β€” ΠΌΠΈ Π»Π°ΠΌΠ°Ρ”ΠΌΠΎ стСрСотипи, Ρ‰ΠΎ Ρ€ΠΈΡ‚Π΅ΠΉΠ» β€” Ρ‚ΠΎ лишС ΠΏΡ€ΠΎ ΠΏΠΎΠΌΡ–Π΄ΠΎΡ€Ρ‡ΠΈΠΊΠΈ. 

    ΠŸΠΎΠ²Ρ–Ρ€, Ρ‚Π΅Ρ…Π½Ρ–Ρ‡Π½Π° частина Π½Π°ΡˆΠΈΡ… ΠΏΡ€ΠΎΠ΅ΠΊΡ‚Ρ–Π² Π΄Π°Ρ” Ρ†Ρ–Π»Π΅ ΠΏΠΎΠ»Π΅ для ΠΊΡ€Π΅Π°Ρ‚ΠΈΠ²Ρƒ Ρ‚Π° Ρ‚Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³Ρ–Ρ‡Π½ΠΎΠ³ΠΎ мислСння.

     

    Ми ΡˆΡƒΠΊΠ°Ρ”ΠΌΠΎ Data Scientist Π² ΠΊΠΎΠΌΠ°Π½Π΄Ρƒ Customer Value Management. 

     

    Π”Π°Π½Π° ΠΊΠΎΠΌΠ°Π½Π΄Π° Π²ΠΏΡ€ΠΎΠ²Π°Π΄ΠΆΡƒΠ²Π°Π΄ΠΆΡƒΡ” Π½Π°ΠΉΠΊΡ€Π°Ρ‰Ρ– ΠΏΡ€Π°ΠΊΡ‚ΠΈΠΊΠΈ світових Π»Ρ–Π΄Π΅Ρ€Ρ–Π² e-commerce, засновані Π½Π° Π΄Π°Ρ‚Π°-Π΄Ρ€Ρ–Π²Π΅Π½ ΠΏΡ–Π΄Ρ…ΠΎΠ΄Π°Ρ…, ΠΏΠΎΠ±ΡƒΠ΄ΠΎΠ²Ρ– пСрсоналізованих ΠΊΠΎΠΌΡƒΠ½Ρ–ΠΊΠ°Ρ†Ρ–ΠΉ, Ρ€ΠΎΠ·Ρ€ΠΎΠ±Ρ†Ρ– ΠΊΡ€Π°Ρ‰ΠΈΡ… ΠΏΠ΅Ρ€Π΅Π΄ΠΈΠΊΡ‚ΠΈΠ²Π½ΠΈΡ… ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ Ρ‚Π° Π±Π°Π³Π°Ρ‚ΠΎ Ρ–Π½ΡˆΠΎΠ³ΠΎ. Команда ΠΌΠ°Ρ” ΠΏΠΎΠ²Π½ΠΈΠΉ Π½Π°Π±Ρ–Ρ€ ΠΊΠΎΠΌΠΏΠ΅Ρ‚Π΅Π½Ρ†Ρ–ΠΉ, які зосСрСдТСні Π½Π° Ρ€ΠΎΠ±ΠΎΡ‚Ρ– Π·Π° ΠΊΠΎΠ½ΠΊΡ€Π΅Ρ‚Π½ΠΈΠΌΠΈ ΠΏΠΎΠΊΠ°Π·Π½ΠΈΠΊΠ°ΠΌΠΈ (Ρ€ΠΎΠ·Π²ΠΈΡ‚ΠΎΠΊ, утримання ΠΏΠΎΠΊΡƒΠΏΡ†Ρ–Π², Π·Π±Ρ–Π»ΡŒΡˆΠ΅Π½Π½Ρ частоти ΠΏΠΎΠΊΡƒΠΏΠΎΠΊ Π°Π±ΠΎ обсягу ΠΏΠΎΠΊΡƒΠΏΠΎΠΊ Ρ‚ΠΎΡ‰ΠΎ). Π’ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ– Ρ€ΠΎΠ±ΠΎΡ‚ΠΈ Π·Π°ΠΏΡƒΡΠΊΠ°ΡŽΡ‚ΡŒΡΡ ΠΊΠ°ΠΌΠΏΠ°Π½Ρ–Ρ— Π· пСрсоналізованих ΠΏΡ€ΠΎΠΏΠΎΠ·ΠΈΡ†Ρ–ΠΉ, які ΡΡ‚Π²ΠΎΡ€ΡŽΡŽΡ‚ΡŒΡΡ Π·Π° допомогою сучасних Π°Π½Π°Π»Ρ–Ρ‚ΠΈΡ‡Π½ΠΈΡ… ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ, Π²Ρ–Π΄Π±ΡƒΠ²Π°Ρ”Ρ‚ΡŒΡΡ Π°Π½Π°Π»Ρ–Π· Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ–Π² Ρ‚Π° покращСння СфСктивності ΠΏΡ€ΠΎΠΏΠΎΠ·ΠΈΡ†Ρ–ΠΉ.

     

    Π§ΠΈΠΌ ΠΏΠΎΡ‚Ρ€Ρ–Π±Π½ΠΎ Π±ΡƒΠ΄Π΅ Π·Π°ΠΉΠΌΠ°Ρ‚ΠΈΡΡŒ:

    • Π·Π°ΠΏΠΈΡ‚, ΠΏΡ–Π΄Π³ΠΎΡ‚ΠΎΠ²ΠΊΠ° Ρ‚Π° Π°Π½Π°Π»Ρ–Π· Π΄Π°Π½Π½ΠΈΡ…;
    • ΠΏΠΎΠ±ΡƒΠ΄ΠΎΠ²Π° Ρ‚Π° вдосконалСння ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ Π΄Π°Π½ΠΈΡ…;
    • Ρ‰ΠΎΡ‚ΠΈΠΆΠ½Π΅Π²ΠΈΠΉ Π°Π½Π°Π»Ρ–Π· Ρ–Π½Ρ–Ρ†Ρ–Π°Ρ‚ΠΈΠ² Π΄ΠΎ Ρ– після Ρ—Ρ… Ρ€Π΅Π°Π»Ρ–Π·Π°Ρ†Ρ–Ρ—;
    • синтСз Ρ‚Π° прСзСнтація Π°Π½Π°Π»Ρ–Π·Ρƒ Ρ–Π½Ρ–Ρ†Ρ–Π°Ρ‚ΠΈΠ²;
    • ΠΏΠΎΡˆΡƒΠΊ Π½ΠΎΠ²ΠΈΡ… ΡˆΠ»ΡΡ…Ρ–Π² Ρ€Π΅Π°Π»Ρ–Π·Π°Ρ†Ρ–Ρ— Ρ–Π½Ρ–Ρ†Ρ–Π°Ρ‚ΠΈΠ² Ρƒ Π΄Π°Π½ΠΈΡ…;
    • провСдСння A/B тСстів.

     

    Що для нас ваТливо:

    • досвід Ρ€ΠΎΠ±ΠΎΡ‚ΠΈ Π²Ρ–Π΄ 2-Ρ… Ρ€ΠΎΠΊΡ–Π² як Data Scientist Π² Ρ€ΠΎΠ·Π΄Ρ€Ρ–Π±Π½Ρ–ΠΉ Ρ‚ΠΎΡ€Π³Ρ–Π²Π»Ρ–, Ρ€ΠΎΠ·Π΄Ρ€Ρ–Π±Π½ΠΈΡ… Π±Π°Π½ΠΊΠ°Ρ… Π°Π±ΠΎ Ρ‚Π΅Π»Π΅ΠΊΠΎΠΌΡƒΠ½Ρ–ΠΊΠ°Ρ†Ρ–ΠΉΠ½ΠΈΡ… компаніях (Π±Π°ΠΆΠ°Π½ΠΎ, Π½Π΅ ΠΎΠ±ΠΎΠ²'язково);
    • Π²ΠΈΡ‰Π° Ρ‚Π΅Ρ…Π½Ρ–Ρ‡Π½Π°/Π΅ΠΊΠΎΠ½ΠΎΠΌΡ–Ρ‡Π½Π° освіта;
    • Π²ΠΏΠ΅Π²Π½Π΅Π½Ρ– знання Data Analysis, Python, SQL - ΠΎΠ±ΠΎΠ²'язково; 
    • Π²ΠΏΠ΅Π²Π½Π΅Π½Ρ– знання Ρ‚Π° застосування ΠΌΠ°Ρ‚Π΅ΠΌΠ°Ρ‚ΠΈΡ‡Π½ΠΎΡ— статистики;
    • володіння Π½Π°Π²ΠΈΡ‡ΠΊΠ°ΠΌΠΈ Machine Learning;
    • володіння Π°Π½Π³Π»Ρ–ΠΉΡΡŒΠΊΠΎΡŽ мовою Π½Π° Ρ€Ρ–Π²Π½Ρ– Π½Π΅ Π½ΠΈΠΆΡ‡Π΅ Intermediate.

     

    Ми ΠΏΡ€ΠΎΠΏΠΎΠ½ΡƒΡ”ΠΌΠΎ:

    • ΠΌΠΎΠΆΠ»ΠΈΠ²Ρ–ΡΡ‚ΡŒ Π²Ρ–Π΄Π΄Π°Π»Π΅Π½ΠΎΡ— Ρ€ΠΎΠ±ΠΎΡ‚ΠΈ Π°Π±ΠΎ офіс Π· Π³Π΅Π½Π΅Ρ€Π°Ρ‚ΠΎΡ€ΠΎΠΌ Ρ‚Π° ΡΡ‚Π°Ρ€Π»Ρ–Π½ΠΊΠΎΠΌ;
    • Π³Π½ΡƒΡ‡ΠΊΠΈΠΉ Π³Ρ€Π°Ρ„Ρ–ΠΊ;
    • ΠΌΠ΅Π΄ΠΈΡ‡Π½Π΅ страхування;
    • Ρ€ΠΈΠ·ΠΈΠΊΠΎΠ²Π΅ страхування Тиття;
    • ΠΏΡ–Π΄Ρ‚Ρ€ΠΈΠΌΠΊΠ° ЀОП/Π“Π†Π“- ΠΊΠΎΠ½Ρ‚Ρ€Π°ΠΊΡ‚;
    • Π·Π½ΠΈΠΆΠΊΠΈ Ρƒ ΠΌΠ°Π³Π°Π·ΠΈΠ½Π°Ρ… Ρ‚Π° Ρ€Π΅ΡΡ‚ΠΎΡ€Π°Π½Π°Ρ… Fozzy Group;
    • психологічна ΠΏΡ–Π΄Ρ‚Ρ€ΠΈΠΌΠΊΠ°;
    • Ρ‚ΡƒΡ€Π±ΠΎΡ‚Π»ΠΈΠ²Ρƒ ΠΊΠΎΡ€ΠΏΠΎΡ€Π°Ρ‚ΠΈΠ²Π½Ρƒ ΠΊΡƒΠ»ΡŒΡ‚ΡƒΡ€Ρƒ, яку ΠΌΠΈ Ρ€Π°Π·ΠΎΠΌ Π· Ρ‚ΠΎΠ±ΠΎΡŽ Π±ΡƒΠ΄Π΅ΠΌΠΎ Ρ€ΠΎΠ·Π²ΠΈΠ²Π°Ρ‚ΠΈ;
    • ΠΊΠΎΠΌΠ°Π½Π΄Ρƒ, Π· ΡΠΊΠΎΡŽ Ρ‚ΠΈ Π·ΠΌΠΎΠΆΠ΅Ρˆ Ρ€Π΅Π°Π»Ρ–Π·ΡƒΠ²Π°Ρ‚ΠΈ свої Ρ–Π΄Π΅Ρ—, СкспСримСнтувати Ρ– Π²Ρ–Π΄Ρ‡ΡƒΠ²Π°Ρ‚ΠΈ сСбС Π² ΠΊΠΎΠ»Ρ– Π΄Ρ€ΡƒΠ·Ρ–Π²;
    • Ρ– Ρ†Ρ–Π»Π° ΠΊΡƒΠΏΠ° Ρ‚ΡƒΡ€Π±ΠΎΡ‚ΠΈΠ½ΠΎΠΊ (страхування (Π² Π£ΠΊΡ€Π°Ρ—Π½Ρ–), Π·Π½ΠΈΠΆΠΊΠΈ Π² Π½Π°ΡˆΠΈΡ… бізнСсах Ρ‚Π° Ρƒ ΠΏΠ°Ρ€Ρ‚Π½Π΅Ρ€Ρ–Π²).

     

    More
  • Β· 15 views Β· 0 applications Β· 2d

    Game Mathematician to $3000

    Hybrid Remote Β· Poland Β· Product Β· 3 years of experience Β· Intermediate
    Π£ NeverEnding ΠΌΠΈ ΡΡ‚Π²ΠΎΡ€ΡŽΡ”ΠΌΠΎ Ρ–Π³Ρ€ΠΈ, які дійсно β€œΠ·Π°Ρ‚ΡΠ³ΡƒΡŽΡ‚ΡŒβ€ β€” Ρ– Π·Π°Ρ€Π°Π· ΡˆΡƒΠΊΠ°Ρ”ΠΌΠΎ Game Mathematician’a, який Π΄ΠΎΠΏΠΎΠΌΠΎΠΆΠ΅ Π½Π°ΠΌ Ρ€ΠΎΠ·Ρ€ΠΎΠ±ΠΈΡ‚ΠΈ ΠΌΠ΅Ρ…Π°Π½Ρ–ΠΊΠΈ, Ρ‰ΠΎ ΠΏΡ€ΠΈΠ½ΠΎΡΡΡ‚ΡŒ задоволСння Π³Ρ€Π°Π²Ρ†ΡŽ ΠΉ Π΄ΠΎΡ…Ρ–Π΄ бізнСсу. Π¦Π΅ Ρ€ΠΎΠ»ΡŒ для Ρ‚ΠΈΡ…, Ρ…Ρ‚ΠΎ Ρ…ΠΎΡ‡Π΅ Π±ΡƒΠ΄ΡƒΠ²Π°Ρ‚ΠΈ Π½ΠΎΠ²Ρ– Ρ–Π³Ρ€ΠΈ Π· нуля, ΠΏΡ€Π°Ρ†ΡŽΠ²Π°Ρ‚ΠΈ Π·...

    Π£ NeverEnding ΠΌΠΈ ΡΡ‚Π²ΠΎΡ€ΡŽΡ”ΠΌΠΎ Ρ–Π³Ρ€ΠΈ, які дійсно β€œΠ·Π°Ρ‚ΡΠ³ΡƒΡŽΡ‚ΡŒβ€ β€” Ρ– Π·Π°Ρ€Π°Π· ΡˆΡƒΠΊΠ°Ρ”ΠΌΠΎ Game Mathematician’a, який Π΄ΠΎΠΏΠΎΠΌΠΎΠΆΠ΅ Π½Π°ΠΌ Ρ€ΠΎΠ·Ρ€ΠΎΠ±ΠΈΡ‚ΠΈ ΠΌΠ΅Ρ…Π°Π½Ρ–ΠΊΠΈ, Ρ‰ΠΎ ΠΏΡ€ΠΈΠ½ΠΎΡΡΡ‚ΡŒ задоволСння Π³Ρ€Π°Π²Ρ†ΡŽ ΠΉ Π΄ΠΎΡ…Ρ–Π΄ бізнСсу.

     

    Π¦Π΅ Ρ€ΠΎΠ»ΡŒ для Ρ‚ΠΈΡ…, Ρ…Ρ‚ΠΎ Ρ…ΠΎΡ‡Π΅ Π±ΡƒΠ΄ΡƒΠ²Π°Ρ‚ΠΈ Π½ΠΎΠ²Ρ– Ρ–Π³Ρ€ΠΈ Π· нуля, ΠΏΡ€Π°Ρ†ΡŽΠ²Π°Ρ‚ΠΈ Π· Ρ€Ρ–Π·Π½ΠΈΠΌΠΈ ΠΆΠ°Π½Ρ€Π°ΠΌΠΈ (слоти, інстант, crash) Ρ‚Π° Π²ΠΏΠ»ΠΈΠ²Π°Ρ‚ΠΈ Π½Π° ΠΊΠΎΠΆΠ½Ρƒ Ρ†ΠΈΡ„Ρ€Ρƒ, яка Π·β€™ΡΠ²Π»ΡΡ”Ρ‚ΡŒΡΡ Ρƒ Π³Ρ€Ρ–.

     

    Π©ΠΎ Ρ€ΠΎΠ±ΠΈΡ‚ΠΈ:

    • ΠŸΡ€ΠΎΡ”ΠΊΡ‚ΡƒΠ²Π°Ρ‚ΠΈ Ρ–Π³Ρ€ΠΎΠ²Ρƒ ΠΌΠ°Ρ‚Π΅ΠΌΠ°Ρ‚ΠΈΠΊΡƒ: RTP, volatilities, hit frequency, distribution curves.
    • Розробляти ΠΌΠ°Ρ‚Π΅ΠΌΠ°Ρ‚ΠΈΡ‡Π½Ρ– ΠΌΠΎΠ΄Π΅Π»Ρ– для слотів, instant- Ρ‚Π° crash-Ρ–Π³ΠΎΡ€.
    • ΠŸΠΈΡΠ°Ρ‚ΠΈ симуляції Ρ‚Π° Π°Π½Π°Π»Ρ–Π·ΡƒΠ²Π°Ρ‚ΠΈ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΈ для балансування.
    • ΠŸΡ€Π°Ρ†ΡŽΠ²Π°Ρ‚ΠΈ Ρ€Π°Π·ΠΎΠΌ Ρ–Π· Π³Π΅ΠΉΠΌ-Π΄ΠΈΠ·Π°ΠΉΠ½Π΅Ρ€Π°ΠΌΠΈ, Ρ…ΡƒΠ΄ΠΎΠΆΠ½ΠΈΠΊΠ°ΠΌΠΈ, ΠΏΡ€ΠΎΠ΄Π°ΠΊΡ‚Π°ΠΌΠΈ Ρ‚Π° Π΄Π΅Π²Π°ΠΌΠΈ для створСння цілісного Ρ–Π³Ρ€ΠΎΠ²ΠΎΠ³ΠΎ досвіду.
    • Π’ΠΈΠ·Π½Π°Ρ‡Π°Ρ‚ΠΈ Ρ‚Π΅Ρ…Π½Ρ–Ρ‡Π½Ρ– обмСТСння, Ρ€ΠΈΠ·ΠΈΠΊΠΈ, Ρ‚Π° Π·Π½Π°Ρ…ΠΎΠ΄ΠΈΡ‚ΠΈ Ρ€Ρ–ΡˆΠ΅Π½Π½Ρ Π½Π° Π΅Ρ‚Π°ΠΏΡ– ΠΊΠΎΠ½Ρ†Π΅ΠΏΡ‚Ρƒ.

     

    Кого ΠΌΠΈ ΡˆΡƒΠΊΠ°Ρ”ΠΌΠΎ:

    • 3+ Ρ€ΠΎΠΊΠΈ досвіду Π² Ρ–Π³Ρ€ΠΎΠ²Ρ–ΠΉ ΠΌΠ°Ρ‚Π΅ΠΌΠ°Ρ‚ΠΈΡ†Ρ– Π°Π±ΠΎ Π³Π΅ΠΉΠΌ-Π΄ΠΈΠ·Π°ΠΉΠ½Ρ– Π· ΠΌΠ°Ρ‚Π΅ΠΌΠ°Ρ‚ΠΈΡ‡Π½ΠΈΠΌ ΡƒΡ…ΠΈΠ»ΠΎΠΌ.
    • Π“Π»ΠΈΠ±ΠΎΠΊΠ΅ розуміння слот-ΠΌΠ΅Ρ…Π°Π½Ρ–ΠΊ, RTP, volatilities, bonus systems.
    • Π’ΠΏΠ΅Π²Π½Π΅Π½Π΅ володіння Excel / Google Sheets, Python Π°Π±ΠΎ Ρ–Π½ΡˆΠΈΠΌ інструмСнтом для симуляцій.
    • Досвід Ρ–Π· балансуванням Payout Tables Ρ– Free Spins - Π²Π΅Π»ΠΈΠΊΠΈΠΉ плюс.
    • АналітичнС мислСння, ΡƒΠ²Π°ΠΆΠ½Ρ–ΡΡ‚ΡŒ Π΄ΠΎ Π΄Π΅Ρ‚Π°Π»Π΅ΠΉ, Π·Π΄Π°Ρ‚Π½Ρ–ΡΡ‚ΡŒ ΠΎΠΏΡ‚ΠΈΠΌΡ–Π·ΡƒΠ²Π°Ρ‚ΠΈ складнС.

     

    Ми ΡˆΡƒΠΊΠ°Ρ”ΠΌΠΎ Π»ΡŽΠ΄ΠΈΠ½Ρƒ, яка:

    • Π”ΡƒΠΌΠ°Ρ” як Π³Ρ€Π°Π²Π΅Ρ†ΡŒ Ρ– ΠΌΠΈΡΠ»ΠΈΡ‚ΡŒ як Π°Π½Π°Π»Ρ–Ρ‚ΠΈΠΊ.
    • Π£ΠΌΡ–Ρ” Π±ΡƒΠ΄ΡƒΠ²Π°Ρ‚ΠΈ ΠΌΠΎΠ΄Π΅Π»Ρ–, Ρ‰ΠΎ Π²Ρ–Π΄ΠΏΠΎΠ²Ρ–Π΄Π°ΡŽΡ‚ΡŒ як Π³Π΅ΠΉΠΌΠΏΠ»Π΅ΠΉΠ½ΠΈΠΌ, Ρ‚Π°ΠΊ Ρ– бізнСс-цілям.
    • Π₯ΠΎΡ‡Π΅ ΠΏΡ€Π°Ρ†ΡŽΠ²Π°Ρ‚ΠΈ Π· Π½ΠΎΠ²ΠΈΠΌΠΈ ідСями, Π° Π½Π΅ ΡˆΡ‚Π°ΠΌΠΏΡƒΠ²Π°Ρ‚ΠΈ Ρ‚ΠΈΠΏΠΎΠ²Ρ– Ρ„Ρ–Ρ‡Ρ–.
    • Π›ΡŽΠ±ΠΈΡ‚ΡŒ Ρ†ΠΈΡ„Ρ€ΠΈ, СкспСримСнти Ρ– Ρ‡Π΅Π»Π΅Π½Π΄ΠΆΡ–.

     

    Π§ΠΎΠΌΡƒ Π²Π°Ρ€Ρ‚ΠΎ приєднатися Π΄ΠΎ NeverEnding?

    • Π ΠΎΠ±ΠΎΡ‚Π° Π· нуля Π½Π°Π΄ ΠΏΠ΅Ρ€ΡˆΠΈΠΌΠΈ Ρ–Π³Ρ€Π°ΠΌΠΈ ΠΊΠΎΠΌΠΏΠ°Π½Ρ–Ρ—.
    • Π’ΠΏΠ»ΠΈΠ² Π½Π° формування Ρ–Π³Ρ€ΠΎΠ²ΠΎΡ— Π»Ρ–Π½Ρ–ΠΉΠΊΠΈ ΠΉ math-напряму Π² ΠΊΠΎΠΌΠ°Π½Π΄Ρ–.
    • ΠŸΡ€ΡΠΌΠ° співпраця Π· Ρ„Π°ΡƒΠ½Π΄Π΅Ρ€Π°ΠΌΠΈ Ρ‚Π° ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚ΠΎΠ²ΠΎΡŽ командою.
    • Π“Π½ΡƒΡ‡ΠΊΡ–ΡΡ‚ΡŒ, ΡˆΠ²ΠΈΠ΄ΠΊΡ–ΡΡ‚ΡŒ Ρ– Π²Ρ–Π΄ΠΊΡ€ΠΈΡ‚Π΅ ΠΏΠΎΠ»Π΅ для творчості.
    • Π‘Ρ‚Π°Ρ€Ρ‚Π°ΠΏ Ρ–Π· Π°ΠΌΠ±Ρ–Ρ†Ρ–Ρ”ΡŽ стати ΠΏΡ€ΠΎΠ²Π°ΠΉΠ΄Π΅Ρ€ΠΎΠΌ Π½ΠΎΠ²ΠΎΠ³ΠΎ покоління.

     

    πŸ“ Π€ΠΎΡ€ΠΌΠ°Ρ‚: Remote / Hybrid β€” Π½Π° Ρ‚Π²Ρ–ΠΉ Π²ΠΈΠ±Ρ–Ρ€

    πŸ• Π€ΠΎΡ€ΠΌΠ°Ρ‚: Повна Π·Π°ΠΉΠ½ΡΡ‚Ρ–ΡΡ‚ΡŒ | 40 Π³ΠΎΠ΄/Ρ‚ΠΈΠΆΠ΄Π΅Π½ΡŒ | 5/2

    πŸ’° Π—Π°Ρ€ΠΏΠ»Π°Ρ‚Π°: ΠšΠΎΠ½ΠΊΡƒΡ€Π΅Π½Ρ‚Π½Π° β€” ΠΎΠ±Π³ΠΎΠ²ΠΎΡ€ΡŽΡ”Ρ‚ΡŒΡΡ

     

    Π―ΠΊΡ‰ΠΎ Ρ‚ΠΈ Ρ…ΠΎΡ‡Π΅Ρˆ ΡΡ‚Π²ΠΎΡ€ΡŽΠ²Π°Ρ‚ΠΈ Π½ΠΎΠ²Ρ– світи Ρ‡Π΅Ρ€Π΅Π· Ρ„ΠΎΡ€ΠΌΡƒΠ»ΠΈ Ρ‚Π° Ρ†ΠΈΡ„Ρ€ΠΈ β€” приєднуйся.

    NeverEnding Ρ‚Ρ–Π»ΡŒΠΊΠΈ ΠΏΠΎΡ‡ΠΈΠ½Π°Ρ”Ρ‚ΡŒΡΡ.

    More
Log In or Sign Up to see all posted jobs