Jobs

We are seeking a highly skilled Machine Learning (ML) Tech Lead with a strong background in Large Language Models (LLMs) and AWS Cloud services. The ideal candidate will oversee the development and deployment of cutting-edge AI solutions while managing a team of 5-10 engineers. This leadership role demands hands-on technical expertise, strategic planning, and team management capabilities to deliver innovative products at scale.
 

Responsibilities:

• Leadership & Management
  -Lead and manage a team of 5-10 engineers, providing mentorship and fostering a collaborative team environment;
  -Drive the roadmap for machine learning projects aligned with business goals;
  -Coordinate cross-functional efforts with product, data, and engineering teams to ensure seamless delivery.
• Machine Learning & LLM Expertise
  -Design, develop, and fine-tune LLMs and other machine learning models to solve business problems;
  -Evaluate and implement state-of-the-art LLM techniques for NLP tasks such as text generation, summarization, and entity extraction;
  -Stay ahead of advancements in LLMs and apply emerging technologies;
  -Expertise in multiple main fields of ML: NLP, Computer Vision, RL, deep learning and classical ML.
• AWS Cloud Expertise
  -Architect and manage scalable ML solutions using AWS services (e.g., SageMaker, Lambda, Bedrock, S3, ECS, ECR, etc.);
  -Optimize models and data pipelines for performance, scalability, and cost-efficiency in AWS;
  -Ensure best practices in security, monitoring, and compliance within the cloud infrastructure.
• Technical Execution
  -Oversee the entire ML lifecycle, from research and experimentation to production and maintenance;
  -Implement MLOps and LLMOps practices to streamline model deployment and CI/CD workflows;
  -Debug, troubleshoot, and optimize production ML models for performance.
• Team Development & Communication
  -Conduct regular code reviews and ensure engineering standards are upheld;
  -Facilitate professional growth and learning for the team through continuous feedback and guidance;
  -Communicate progress, challenges, and solutions to stakeholders and senior leadership.
  
  Qualifications:
• Proven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic models);
• Strong expertise in AWS Cloud Services;
• Strong experience in ML/AI, including at least 2 years in a leadership role;
• Hands-on experience with Python, TensorFlow/PyTorch, and model optimization;
• Familiarity with MLOps tools and best practices;
• Excellent problem-solving and decision-making abilities;
• Strong communication skills and the ability to lead cross-functional teams;
• Passion for mentoring and developing engineers.

About Fintech Farm

We are a UK fintech creating successful neobanks in emerging markets in partnerships with local traditional banks.

Our success builds upon a best-in-class product, customer experience, emotional engagement, viral marketing, and deep credit decisioning expertise.

One of our founders had previously co-founded a highly successful Eastern European neobank with a multi-million customer base.

We launched our first market with Leobank in Azerbaijan in 2021, where we have already established market-leading positions. Our next market was Vietnam, where we launched Liobank in early 2023 and also gained solid traction.

We have a few more new markets in the pipeline for the next 12 months, and we are starting to build the team there.

Why Fintech Farm is a great place to be

Our ambition. We are looking to become a leading consumer digital bank brand in each market we operate making it easy for consumers to interact with their money. You could be a part of this exciting journey.

Our culture.

Customers. We always go above and beyond to provide an amazing customer experience. We serve our customers the way we would want our mom to be served. And who said that banking has to be boring? We make our apps not just easy but fun to use.

People. We are all business partners in our company. Each of us thinks big, acts as if we own the place, and never takes “No” as an answer. We work with strong individuals whom we empower and trust rather than micromanage. Common sense rather than formal policies prevails in all that we do. We always stay curious and open-minded. We embrace the We over Me culture.

Responsibilities:

• Develop and implement risk-scoring models to assess client creditworthiness, including both application and behavioral models.
• Perform feature engineering processes to enhance the quality and efficiency of predictive models.
• Analyze data to identify new opportunities and trends that can be utilized to improve scoring models.
• Collaborate with development teams and business analysts to integrate models into business processes.
• Monitor and analyze the performance of models in production, and propose and implement improvements.

Requirements:

• 2 to 4 years of experience in Data Science, with proven experience in building scoring models.
• Deep knowledge and practical experience in machine learning and statistical analysis.
• Experience with the Python programming language and libraries for data processing and machine learning (e.g., Pandas, Scikit-learn, TensorFlow, PyTorch).
• Skills in feature engineering and model selection for solving specific tasks.
• Ability to analyze large volumes of data and turn analytical insights into concrete actions.
• Experience with SQL and databases.
• Ability to work independently and as part of a team, as well as interact with non-technical colleagues.

What we are offering

• Competitive salary negotiable depending on the candidate’s level
• Share options
• We are still a start-up and more benefits are on the way

About Us:

Atto Trading is a quantitative trading firm operating a portfolio of signal-driven high-frequency strategies in cash equities and futures.

We are building a global, diverse team, with experts in trading, statistics, engineering, and technology to trade global markets. Our disciplined approach combined with rapid market feedback allows us to quickly turn ideas into profit. Our environment of learning & collaboration allows us to solve the world’s hardest problems, together.

As a small firm, we remain nimble and hold ourselves to the highest standards of integrity, ingenuity, and effort.

About the Role:

We're looking for a Junior Data Scientist/Quant Researcher to join our profitable trading team and drive growth.

This position is currently open as remote work from Ukraine, with in-office presence in Kyiv required once circumstances allow.

At ATTO Trading, you'll build models, strategies, and systems for trading various financial instruments globally. This role blends trading and software development, involving data analysis, predictive modeling, and strategy development. You'll tackle some of the industry's toughest challenges and work with cutting-edge technology.
 

Responsibilities:

• Design and test new data pipelines (ETL/ELT)
• Develop data visualization tools
• Maintain existing analytical instruments (toolkits, pipelines)
• Participate in research projects

Requirements:

• High level of proficiency in Python programming (data structures, design patterns, OOP, PEP etc)
• Experience with analytical packages for data visualization, manipulation and processing: NumPy, Polars, Matplotlib, Bokeh, Scikit-Learn
• Basic knowledge of relational databases and SQL
• Upper-Intermediate+  in English
• Experience working in Linux environment 
• Bachelor’s degree in statistics, math, computer science, or another quantitative discipline
• Good communication and team skills
• Close attention to details

Nice to have:

• Experience with С++
• Understanding of basic machine learning techniques
• Genuine interest in finance and trading
• Experience in development of quantitative trading strategies

Benefits:

• Opportunity to develop professional competencies
• Interesting and challenging tasks
• Competitive rates of pay
• Paid time off
• Coverage of health insurance cost

Position Overview

We are seeking an experienced Data Scientist/ML Engineer specializing in neural networks, with 3+ years experience in the applied field. The ideal candidate should be a great mentor and team player; python ninja with a strong background in various neural network architectures (recurrent, convolutional, feedforward, etc.) and a deep understanding of developing, tuning, and deploying different architectures. This role also requires excellent Python programming skills and a solid foundation in data analysis and statistics. If you strive in a fast pace environment, with tight deadlines but fast professional growth, you are welcome in our team!

Key Responsibilities:

• Create statistical summaries to support hypothesis testing and data-driven decisions during EDA
• Implement data preparation and feature engineering pipelines for the models
• Plan and implement algorithms for predictive modeling.
• Provide continuous improvement of models in production
• Lead the ML-driven python coding for end to end model deliveries, support our ML-related libraries/
• Collaborate with a cross-functional team of specialists, including senior and junior data scientists, Python developers and ML engineers, data analysts, and DevOps specialists.
• Provide expertise in tuning loss functions, metrics, sample weights adjustment, hyperparameter tuning and model improvement in general.
• Generate detailed evaluation reports, summarizing key findings and presenting actionable insights to stakeholders.
• Keep up with tight deadlines, agile environment of work with evolving objectives and KPIs, having the highest level of organisation and self management to provide a full work clarity, extensive tracking and documentation of your work.

Required Skills and Qualifications:

• Minimum of 3 years of professional experience as a Data Scientist or Machine Learning Engineer.
• Proficient in building custom neural networks using PyTorch.
• Strong experience with various neural network architectures specialised for time-series modelling and tabular data predictive modelling 
• Proficiency with neural network layers (like LSTM, GRU, Conv1D, Dense, Dropout, BatchNormalization) and activation functions (ReLU, Sigmoid, Tanh, Softmax).
• Experience with time series data, including loading, cleaning, and feature engineering using libraries like pandas, numpy. Knowledge of Darts library would be a large bonus.
• Expertise in model development, including selecting and developing models from the Darts library and building custom neural network architectures.
• In-depth knowledge of Python programming and relevant libraries (e.g., Scikit-learn, Pandas, PyTorch, Shap). We want to emphasize this requirement of excellency in python, including good working OOP knowledge. We do noе accept candidates with partial experience in python, as our projects require solid programming skills for writing and supporting data science related functionalities and libraries
• Solid understanding of statistics and data analysis.
• Skilled in using and tuning loss functions such as MSE, MAE, Cross-Entropy Loss, and custom loss functions relevant to time series forecasting.
• Experience with hyperparameter optimization using libraries like Optuna or Hyperopt.
• Capable of implementing and optimizing training loops in PyTorch, including data loaders and training validation steps.
• Knowledge of time series-specific cross-validation techniques and regularization methods to prevent overfitting.
• Strong skills in evaluating model performance using metrics like MSE, RMSE, MAE, MAPE, and R-squared.
• Familiarity with backtesting functionalities for validating model performance.
• Experience in model deployment, including serialization and deployment of models for real-time services.
• Strong communication skills for presenting findings and progress to stakeholders, using visualizations created with matplotlib, seaborn, or plotly.
• Proficiency in using Git for version control and collaboration.
• Major education in Data Science, Computer Science, or a related field IS A MUST. We do not accept people with other backgrounds.
• Certifications in deep learning are preferred.
• Excellent command of spoken and written English.
• Strong self-management, time management, and organizational skills.

• Ability to work under a structured management system while independently handling creative tasks.

   

What We Offer:

• Competitive remuneration package.
• Bonuses
• Professional mentorship and guidance from experienced team members.
• Opportunities for professional growth and continuous learning.
• A dynamic and collaborative work environment.
   

About DataObrii
DataObrii is a high-tech consulting firm specializing in data science, machine learning, and AI-augmented Internet of Things. Our team comprises experienced data scientists, python engineers, devops, hardware electrical engineers, and business analysts dedicated to delivering innovative, data-driven solutions that enhance business intelligence and efficiency. We emphasize continuous improvement, keeping up with current and emerging technologies, and delivering complete timely, effective solutions.

Our Values:

• Efficiency: We employ an agile approach to ensure timely delivery of high-quality solutions. This governs fast delivery cycles, quick and efficient solutions, iteratively going from PoC developments to fully enhanced production systems.
• Professionalism: Our commitment to excellence drives us to achieve success for our clients. This includes both technical and ethical proficiency required from all our employees.
• Creativity: We utilize design thinking to develop innovative solutions that address complex business challenges.
• Care: We invest time in understanding our clients' business models to provide tailored solutions that align with their objectives.
   

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 Senior/Lead 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:

• 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.

You have:
 

• A minimum of 5 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.
   

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.

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.

Job Description:

• 5-6 years of commercial experience, including at least 3 years in a related field;
• Strong knowledge and proven experience with Machine Learning, Computer Vision and Deep Learning;
• Technically strong with Python and/or other relevant programming experience;
• Ability to design and implement complex algorithms;
• Proficiency with numpy, scipy, opencv, tensorflow;
• Self manageable person, able to work without supervision;
• Experience in a field related to video analysis and/or processing;
• Strong communication skills with Upper-Intermediate English level.
  
  Job Responsibilities
• We are seeking an experienced Senior Computer Vision Developer to join a collaborative initiative with our client's team, aimed at advancing and maintaining multiple real-time systems that leverage computer vision technologies. In this role, you will integrate seamlessly with both our internal team and the client's, contributing to a unified approach for enhancing system capabilities.

• Your key responsibilities will involve developing and optimizing computer vision models, addressing existing bugs, and implementing new features that enhance system performance across various applications. You will be instrumental in supporting and evolving these systems to meet new challenges, working within a cross-functional team and contributing to a shared backlog.

   

Project Description

• Our client runs one of the most popular amusement parks in the world. The safety of their guests and cast members is the key to providing a seamless entertainment experience and our client was looking for ways to leverage the latest technology to take safety to the next level.
  
  GlobalLogic helps the client create a flexible real-time AI-based attraction monitoring system to detect, alert, and record any discrepancy between the number of people detected by an overhead camera and the number of occupied seats from the seat sensor indicator lights.

We are seeking a highly skilled Machine Learning (ML) Tech Lead with a strong background in Large Language Models (LLMs) and AWS Cloud services. The ideal candidate will oversee the development and deployment of cutting-edge AI solutions while managing a team of 5-10 engineers. This leadership role demands hands-on technical expertise, strategic planning, and team management capabilities to deliver innovative products at scale.
 

Responsibilities:

• Leadership & Management
  -Lead and manage a team of 5-10 engineers, providing mentorship and fostering a collaborative team environment;
  -Drive the roadmap for machine learning projects aligned with business goals;
  -Coordinate cross-functional efforts with product, data, and engineering teams to ensure seamless delivery.
• Machine Learning & LLM Expertise
  -Design, develop, and fine-tune LLMs and other machine learning models to solve business problems;
  -Evaluate and implement state-of-the-art LLM techniques for NLP tasks such as text generation, summarization, and entity extraction;
  -Stay ahead of advancements in LLMs and apply emerging technologies;
  -Expertise in multiple main fields of ML: NLP, Computer Vision, RL, deep learning and classical ML.
• AWS Cloud Expertise
  -Architect and manage scalable ML solutions using AWS services (e.g., SageMaker, Lambda, Bedrock, S3, ECS, ECR, etc.);
  -Optimize models and data pipelines for performance, scalability, and cost-efficiency in AWS;
  -Ensure best practices in security, monitoring, and compliance within the cloud infrastructure.
• Technical Execution
  -Oversee the entire ML lifecycle, from research and experimentation to production and maintenance;
  -Implement MLOps and LLMOps practices to streamline model deployment and CI/CD workflows;
  -Debug, troubleshoot, and optimize production ML models for performance.
• Team Development & Communication
  -Conduct regular code reviews and ensure engineering standards are upheld;
  -Facilitate professional growth and learning for the team through continuous feedback and guidance;
  -Communicate progress, challenges, and solutions to stakeholders and senior leadership.
  
  Qualifications:
• Proven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic models);
• Strong expertise in AWS Cloud Services;
• Strong experience in ML/AI, including at least 2 years in a leadership role;
• Hands-on experience with Python, TensorFlow/PyTorch, and model optimization;
• Familiarity with MLOps tools and best practices;
• Excellent problem-solving and decision-making abilities;
• Strong communication skills and the ability to lead cross-functional teams;
• Passion for mentoring and developing engineers.

👀Hello! We seek a highly skilled and experienced Middle+ / Senior Machine Learning Engineer (Python) with extensive experience in Unsupervised learning, as well as Reinforcement Learning to join our fascinating project. 

We are in the Healthcare/InsurTech. 

The ideal candidate should possess hands-on expertise in Python (with all of the relevant libraries and tools like Numpy, Pandas, Math, Scikit-learn, etc.) and be able to develop and implement Machine Learning and Reinforcement Learning models into pipelines.
🌏Client: USA.

🌏Location: Ukraine, Ukrainian abroad.
Type work: Full-time, long-term.

Seniority: Middle/Senior.

Team: will be working in a small team, directly with the Team Lead.

⚡TECHSTACK:

• Python; 

• With all of the relevant libraries and tools like NumPy, Pandas, Math, Scikit-learn etc.;

   

❗Responsibilities❗

• As a Data Scientist, you will be responsible for developing and implementing advanced Machine Learning Techniques for Unsupervised Fraud and Outlier Detection on tabular data.

   

  ⚡Requirements:

• 4+ years of experience as Data Scientist;
• Experience in ML and Supervised, Unsupervised (Fraud/Outlier Detection on tabular data etc);
• Strong proficiency in Python programming language; 
• With all of the relevant libraries and tools like NumPy, Pandas, Math, Scikit-learn etc.;
• English: Upper Intermediate+ or Advanced/Fluent;
• Excellent problem-solving and analytical skills;
• Strong communication and collaboration abilities.

We will be glad to talk with you in more detail!

Location: Poland
English: Upper-Intermediate+

Our client is one of the top 5 global management consulting firms, widely recognized as one of the most prestigious in the industry. They serve hundreds of Fortune 500 clients, including major global financial institutions, leading media and tech companies, and federal agencies. Their proven platforms and services are trusted by some of the biggest names worldwide.

🧠 About the Project
You’ll be part of the Strategy & Corporate Finance department — a key unit within the firm that supports clients in tackling strategic and financial challenges. The team combines deep domain expertise with advanced analytical tools to deliver high-impact solutions.

🔧 Tech Stack:
Python, SQL, Pandas, NumPy, TensorFlow, PyTorch, RAG Implementation, Agents, AWS (Azure is a plus)

✅ Requirements:

• 3+ years of experience in data science or a related AI-focused role
• Solid knowledge of AI techniques including machine learning, deep learning, and NLP
• Hands-on experience with Python and key libraries: Pandas, NumPy, scikit-learn, streamlit
• Experience with AI/ML frameworks (TensorFlow, PyTorch)
• SQL proficiency
• Understanding of RAG and agent-based implementations
• Familiarity with Agile methodologies and experience working in Agile teams
• Cloud experience (AWS required, Azure/Google Cloud is a plus)
• Product-oriented mindset with a focus on iterative improvement
• Strong analytical and problem-solving skills
• Ability to clearly communicate complex ideas to both technical and non-technical audiences
• Good software engineering practices: version control, testing, code reviews
• Interest or background in Corporate Finance is a bonus
• Collaborative and proactive attitude, eagerness to stay current with tech trends

💼 Responsibilities:

• Analyze complex datasets to uncover insights using AI techniques
• Build and deploy AI models tailored to client-specific business needs
• Collaborate with consultants and domain experts to shape AI-driven strategies
• Communicate data-driven findings to diverse stakeholders
• Continuously enhance existing models for better accuracy and performance
• Contribute to the AI infrastructure and toolset used by the team
• Stay up to date with the latest trends in AI, ML, and DL

About the Role

We are seeking a talented Data Scientist to join our Product Analytics team. 
 

This role involves leveraging analytical expertise and machine learning skills to develop predictive models and innovative data-driven solutions. Your contributions will have a direct impact on critical areas such as pricing optimization, customer segmentation, and expert matching. If you are passionate about applying AI to solve real-world challenges and driving meaningful business outcomes,

What You’ll Do:

As an individual contributor, provide analytical thought leadership to drive strategy, suggest new analyses, statistical/ML frameworks, testing methods and infrastructure improvements to drive value for the business.
Collaborate with stakeholders to define problem statements, develop new signals using JA data incl. conversational data, develop hypotheses and translate them into analytical solutions and actionable insights presented to wider audiences.
Perform both Descriptive & Prescriptive Analytics including experimentations (AB, MAB), implement and track trends in business metrics that will help drive the business
Own outcomes of deep dive analyses, by covering problem definition, metrics development and implementation, data extraction, visualization and presentation to the stakeholders
Develop machine learning models to solve business problems related to customer segmentation, customer retention, conversation quality, and revenue optimization.
Become a go to AI/ DS expert who directly and indirectly oversees the model development and advanced statistical work of other analysts.
Test, validate, and optimize models to ensure performance and scalability.
 

What We’re Looking For:

Experience: 2-5 years in data science or product analytics roles focused on model development.
Technical Skills:
Proficiency in SQL and Python; experience with BigQuery preferred.
Strong programming abilities, including familiarity with ML libraries such as TensorFlow, PyTorch, or Keras.
Hands-on experience with statistical methods and machine learning techniques, including regression, classification, clustering, time series analysis, and frameworks like Naive Bayes, XGBoost, and neural networks.
Basic knowledge of NLP, computer vision, or reinforcement learning.
Analytical Expertise: Strong foundation in descriptive and inferential statistical analysis, as well as advanced experimental design.
Education: Bachelor’s or Master’s degree in a quantitative field such as Data Science, Computer Science, Mathematics, Econometrics, or Statistics.
 

Preferred Qualifications:

Experience in e-commerce, product, or retail analytics.
Proficiency in NLP and text analytics techniques.
Familiarity with large language models (LLMs) and prompting.
Understanding of CI/CD pipelines for machine learning model deployment.

Perks and Benefits

Time off throughout the year (paid and unpaid)
Professional development support and encouragement
Resources to help improve your overall well-being
Free membership to dive into JA product
Про компанію JustAnswer
JustAnswer is an online marketplace that is revolutionizing professional services by making fast, affordable expert help accessible to people everywhere. Hailed by The Huffington Post as “destined for glory,” our company is made of smart, hard-working people who know how to have fun and get things done. From doctors, lawyers, and vets to auto mechanics and tech support, the 10,000 experts on JustAnswer have helped over eight million people in 196 countries since 2003. Headquartered in the beautiful Presidio of San Francisco, our mission is simple and inspiring: “We help people.” JustAnswer, LLC is backed by investors Crosslink Capital, Glynn Capital, and Charles Schwab.

The family-style company is looking for a talented Data Scientist to join our team. If you are looking for an awesome team, send us your CV!

About the project

As a Data Scientist at UKAD, you will play an essential role in analyzing, modeling, and deriving insights from data that drives platform's core functionalities. You will focus on building predictive models, analyzing trends, and optimizing e-commerce-related processes using structured data.
Your day-to-day work will be together with an international team, working closely with your Team Lead, CTO, Head of Engineering and our full-stack developers. Our department consists of colleagues from various parts of the world and English is the primary language for communication.

Your key responsibilities consist of the following

• Supporting the development and deployment of machine learning and deep learning models, contributing to the process from ideation to implementation under the guidance of the team lead.
• Assisting in advanced time series analyses for e-commerce data, such as sales forecasting and inventory management.
• Writing and optimizing complex SQL queries to extract, manipulate, and analyze data.
• Collaborating with software developers to implement data-driven solutions into the platform.

• Conducting exploratory data analysis and presenting insights to the team lead and relevant stakeholders.

  
  And a few more points to match

• 5+ years of relevant experience
• Spoken English and desire to speak English
• Strong experience with Python and relevant libraries (e.g., Pandas, Numpy, Scikit-learn, TensorFlow…).
• Proficiency in SQL, with the ability to write complex queries involving joins, subqueries, and aggregations.
• A solid understanding of machine learning algorithms (supervised and unsupervised learning) and their practical applications in sales data.
• Practical experience in time series analysis for solving business problems like sales forecasting and inventory management.
• Experience deploying and maintaining machine learning models in a production environment using AWS services.
• Strong understanding of feature engineering techniques.
• Experience with software engineering best practices such as version control and testing.

Good-to-Have Skills

• Familiarity with working on sales and customer data in e-commerce.
• Ability to quickly understand e-commerce-specific datasets and use them effectively.

• Basic knowledge of deep learning, particularly LSTMs (Long Short-Term Memory networks).
  
  Your hands-on skills and data curiosity are what matter most. We're looking for someone who is self-sufficient, eager to learn, and most importantly someone who is passionate about data science within the e-commerce space.

  
  What we offer

• A really promising long-lasting project (you will be proud of yourself)
• Sane and polite, but effective management
• The best corporate culture (according to our teammates’ opinions)
• Competitive salary and other stuff (all the details here)
• Becoming a part of UKAD with unique value and long-term relationships.
  
  Some facts about UKAD to help you make a decision
• During 2022-2025, we only increased cooperation with our foreign partners
• UKAD combines benefits of family-sized companies, like no bureaucracy, easy access to the executives, with sustainable growth and vast opportunities
• Our company is strong enough to be not just a vendor but a tech partner. We can afford to choose customers that respect developers
• UKAD is one of the leading employers in Kharkiv, according to DOU
• We never hire people for projects, but to build the team, so if the project ends, you remain a part of UKAD.
  
  Aren’t we a company you’re looking for?

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 8 years, we have diligently fostered the largest Data Science Community in Eastern Europe

About the client:
Our client is the go-to enterprise decision intelligence platform to drive better, faster decision-making across your organization, turning decision-making into a competitive advantage.

The company's platform helps teams scale great decisions by streamlining decision processes, automating recommendations with AI, and improving collaboration. The company is the only system of record to track, learn from and improve on your most critical commercial decisions.

About the role:
We are seeking an experienced and innovative Data Scientist to join the team, with a primary focus on automating decision-making processes in a wide range of areas of business.

The candidate will be responsible for the development of backend modules for Decision Intelligence assistants and AI agenetic systems. You will use advanced analytics and machine learning techniques, predictive analytics and big data tools to develop and implement solutions for automated analysis of structured and unstructured data to generate natural language insights, recommendations and decision recommendations.

Requirements:
- 3+ years of relevant experience as a Data Scientist.
- Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- Strong proficiency in Python and familiarity with data analysis and ML libraries (such as Pandas, NumPy, Scikit-learn, SciPy, Stats models, TensorFlow, PyTorch etc.).
- Familiarity with SQL and NoSQL databases, GitHub tools and A/B testing frameworks is a big plus.
- Good understanding of time series analysis and forecasting methods.
- Strong problem-solving skills and a strategic mindset.
- Excellent communication skills, with the ability to explain complex concepts to diverse audiences.

Would be a plus:
- Experience using BI tools (Tableau, Power BI etc.) and Marketing mix modeling skills (especially in CPG).
- High energy, a passion for learning, and a genuine interest in revolutionizing enterprise decision-making through AI.

Responsibilities:
- Work with a team of AI experts, data scientists, engineering team, business analysts and market researchers to create solutions helping companies make strategic business decisions through providing insights and recommendations.
- Identify valuable data sources and automate ETL processes of structured and unstructured data.
- Analyze large and complex datasets from various sources to discover trends, patterns, anomalies and uncover actionable insights.
- Develop and deploy machine learning models and predictive algorithms for automated data analysis, generation of recommendations, and decisions.
- Design and implement systems for real-time decision-making in areas such as current state analysis, business recommendations, and process optimization.
- Continuously evaluate and fine-tune algorithms to improve accuracy, scalability, and performance.
- Collaborate with decision success, engineering, and product development teams.
- Present complex analytics and outcomes to non-technical stakeholders in a clear and actionable manner.

The company offers:
- Competitive salary and work equipment allowances.
- Flexible work schedule and paid personal time off.
- Collaborative team culture with cross-functional exposure to engineers, analysts, and business stakeholders.
- Opportunities for professional growth and learning.

What you’ll doк

Design, simulate, and balance slot mathematics that delight players, meet regulatory standards,

and achieve commercially proven KPIs.

Responsibilities

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Devise complete mathematical models for video slots: pay-tables, feature probabilities,

RTP, volatility profiles, jackpots, and max exposure limits.

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Build large-scale simulations (100 M+ spins) in Python to validate models, stress-test

edge cases, and generate compliance reports for labs (GLI, iTech Labs, etc.).

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Collaborate with the team to align maths with theme, core loop, and business goals;

adjust parameters to hit target GGR, hit frequency, and retention curves.

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Perform competitive teardown of market-leading titles, extract insights on why they

succeed, and translate findings into new concepts or balance tweaks.

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Analyse live performance data, compare against forecasted curves, and recommend

tunings that optimise both player experience and operator revenue.

Requirements

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2+ years in slot mathematics or equivalent quantitative role within released real-money

or F2P slots.

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Hands-on participation in at least two commercially successful slot projects (e.g.,

top-ranked on SlotCatalog or GGR > $1 M in the first 90 days).

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Strong command of probability theory, combinatorics, and statistical inference; ability to

explain complex math to non-technical stakeholders.

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Proficiency with Python (NumPy, pandas, SciPy or similar) for simulations and data

analysis.

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Working knowledge of regulatory requirements (MGA, UKGC, etc.) and

responsible-gaming constraints.

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English B2+ for documentation and cross-team communication.

Nice to have

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Experience building automated dashboards (SQL + BI tools) that track live KPI drift

against model baselines.

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Familiarity with progressive jackpots, crash mechanics, or innovative reel formats (e.g.,

Megaways, Infinity Reels).

Engagement model

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Part-time or contract format is acceptable, provided availability aligns with milestone

reviews and critical simulation passes.

We are looking for an experienced Tableau specialist to join our team on a part-time, freelance basis.
The main task will be to build data tables and dashboards focused on user Lifetime Value (LTV) analysis, as well as detailed breakdowns by traffic sources.

Responsibilities:

• Design and develop Tableau dashboards and reports based on provided datasets.
• Create LTV-focused tables, showing user value over time.
• Build traffic source breakdowns to analyze the performance of various acquisition channels.
• Ensure visualizations are clean, scalable, and easy to interpret.
• Optimize dashboards for performance and usability.
• Collaborate with the team to fine-tune requirements and deliver actionable insights.

Requirements:

• Proven experience working with Tableau (portfolio or examples of past work required).
• Strong understanding of LTV models and digital marketing KPIs.
• Ability to work with raw datasets and structure complex data.
• Familiarity with traffic source categorization and multi-channel attribution (preferred).
• Attention to detail and ability to deliver clean, logical, and insightful visualizations.

Terms:

• Part-time, freelance basis.
• Remote work.
• Flexible working hours with deadlines agreed in advance.
• Payment per project or hourly (to be discussed).

If you are interested and have relevant experience, please send your portfolio or examples of similar dashboards you have built.