Jobs Data & Analytics

Automat-it is where high-growth startups turn when they need to move faster, scale smarter, and make the most of the cloud. As an AWS Premier Partner and Strategic Partner, we deliver hands-on DevOps, FinOps, and GenAI solutions that drive real results. We work across EMEA and the US, fueling innovation and solving complex challenges daily. Join us to grow your skills, shape bold ideas, and help build the future of tech.

We’re looking for a hands-on Data Science Team Lead to build and scale production AI/ML solutions on AWS while leading a Data Scientist team. You’ll own the full lifecycle —from discovery and proof-of-concepts to training, optimization, deployment, and iteration in production — partnering closely with customers and cross-functional teams.

If you are interested in this opportunity, please submit your CV in English.

Responsibilities

• People leadership: Manage and coach a team of Data Scientists, set clear goals, run 1:1s, and support career growth and technical excellence.
• Delivery ownership: Drive project scoping, planning, and on-time, high-quality delivery from inception to production. Proactively remove blockers, manage risks, and communicate status to stakeholders.
• Customer engagement: Work directly with founders/technical leaders to understand goals, translate them into feasible AI roadmaps, and ensure measurable business outcomes.
• Model Development & Deployment: Deploy and train models on AWS SageMaker (using TensorFlow/PyTorch).
• Model Tuning & Optimization: Fine-tune and optimize models using techniques like quantization and distillation, and tools like Pruna.ai and Replicate.
• Generative AI Solutions: Design and implement advanced GenAI solutions, including prompt engineering and retrieval-augmented generation (RAG) strategies.
• LLM Workflows: Develop agentic LLM workflows that incorporate tool usage, memory, and reasoning for complex problem-solving.
• Scalability & Performance: Maximize model performance on AWS’s by leveraging techniques such as model compilation, distillation, and quantization and using AWS specific features.

• Collaboration: Work closely with other teams (Data Engineering, DevOps, MLOps, Solution Architects, Sales teams) to integrate models into production pipelines and workflows.

   

Requirements

• Team management experience: 2+ years leading engineers or scientists (people or tech lead).
• Technical experience: 5–6+ years in Data Science/ML (including deep learning/LLMs).
• Excellent customer-facing skills to understand and address client needs effectively.
• Expert in Python and deep learning frameworks (PyTorch/TensorFlow), and hands-on with AWS ML services (especially SageMaker and Bedrock).
• Proven experience with generative AI and fine-tuning large language models.
• Experience deploying ML solutions on AWS cloud infrastructure and familiarity with MLOps best practices.
• Fluent written and verbal communication skills in English.

• A master’s degree in a relevant field and AWS ML certifications are a plus.

   

Benefits

• Professional training and certifications covered by the company (AWS, FinOps, Kubernetes, etc.)
• International work environment
• Referral program – enjoy cooperation with your colleagues and get a bonus 
• Company events and social gatherings (happy hours, team events, knowledge sharing, etc.)
• English classes

• Soft skills training

   

Country-specific benefits will be discussed during the hiring process.

Automat-it is committed to fostering a workplace that promotes equal opportunities for all and believes that a diverse workforce is crucial to our success. Our recruitment decisions are based on your experience and skills, recognizing the value you bring to our team.

About The Position

Automat-it is where high-growth startups turn when they need to move faster, scale smarter, and make the most of the cloud. As an AWS Premier Partner and Strategic Partner, we deliver hands-on DevOps and FinOps and GenAI support that drives real results.

We work across EMEA and the US, fueling innovation and solving complex challenges daily. Join us to grow your skills, shape bold ideas, and help build the future of tech.

We seek an experienced Senior AI Engineer to join our team. You will work hands-on with innovative startups' Data Science and R&D teams and be in charge of various projects. You will develop robust MLOps pipelines, create cutting-edge Generative AI solutions, implement the latest technologies, and ensure the customers’ success by overseeing the project from inception to completion.

📍 Work location - remote from Ukraine

If you are interested in this opportunity, please submit your CV in English.

Responsibilities

• Developing backend Generative AI solutions and POCs, utilizing RAG pipelines, agent-based systems, and LLM-powered services
• Taking existing ML or customer-provided code and adapting it for training, fine-tuning, and production deployment using PyTorch
• Developing and optimizing fine-tuning workflows, model evaluation, benchmarking, and inference optimization
• Provision of ML AWS resources and infrastructure primarily using managed and cloud-native services
• Developing ML-oriented CI/CD pipelines using GitHub Actions, Bitbucket, or similar tools
• Deploying Machine Learning models in production and ensuring they are observable and monitorable
• Collaborating with Solution Architects and DevOps teams on scalable and cost-efficient AI infrastructure
• Learning new skills and technologies quickly to stay up to date with rapidly evolving GenAI tools
• Using and writing Terraform libraries for infrastructure deployment
• Maintaining infrastructures and environments of all types, from dev to production
• Security monitoring and administration

Requirements

• Excellent customer-facing skills to understand and address client needs effectively
• Ability to design and implement cloud solutions and to build GenAI pipelines on AWS
• Experience with one or more large language model frameworks like OpenAI SDK, Amazon Bedrock, LangChain, and LlamaIndex
• Fluency in Python, a good understanding of Linux, and mandatory hands-on production experience with PyTorch
• Ability to understand tools used by data scientists and experience with building Generative AI applications beyond notebooks or demos
• Good understanding of supervised and unsupervised learning, and deep learning concepts
• Fluent written and verbal communication skills in English
• Ability to work hands-on, independently, and deliver under real project constraints
• Bachelor’s or Master’s degree in AI-related fields - an advantage
• Working knowledge of some Vector Databases (OpenSearch, Qdrant, Weaviate, LanceDB, etc.) - an advantage
• Experience with Docker and Kubernetes - an advantage
• Experience with Azure or GCP (DevOps/MLOps) for ML or GenAI workloads - an advantage
• ML certification (AWS ML Specialty or similar) - an advantage

Benefits

• Professional training and certifications covered by the company (AWS, FinOps, Kubernetes, etc.)
• International work environment
• Referral program – enjoy cooperation with your colleagues and get a bonus 
• Company events and social gatherings (happy hours, team events, knowledge sharing, etc.)
• English classes
• Soft skills training

Country-specific benefits will be discussed during the hiring process.

Automat-it is committed to fostering a workplace that promotes equal opportunities for all and believes that a diverse workforce is crucial to our success. Our recruitment decisions are based on your experience and skills, recognising the value you bring to our team.

About us:
 

ARRISE sets the benchmark for service delivery and excellence in the iGaming industry. Playing a key role in the success of its clients, which include Pragmatic Play, a brand relied upon by the world’s biggest online casinos for its cutting-edge products, ARRISE helps to deliver exceptional gaming experiences to millions of players worldwide.

Our global team of talented and driven professionals are shaping the future of iGaming. Headquartered in Gibraltar, we have offices spanning Canada, India, the Isle of Man, Latvia, Malta, Romania, Serbia, Bulgaria, and the UAE, and more exciting destinations on the horizon.

At ARRISE, we take pride in creating growth opportunities at all levels, constantly investing in our people while welcoming new colleagues and forging strategic partnerships that open new opportunities for success. To achieve this, we bet on ourselves. We know that success is a collective effort, and our team is driven by ambition, collaboration, and a shared commitment to grow and succeed—while embracing every step of the journey.

Be part of the future of iGaming with ARRISERS! See a job that excites you? Apply now, and our friendly recruitment team will connect with you soon. Your journey starts here!

Requirements: 

• Requires 4 or more years of related experience, maintenance, and administration of PostgreSQL databases.   
• Previous SQL Server and/or Oracle database administration experience is a plus.  
• Strong writing and verbal communication skills.   
• Displays excellent collaborative skills with cross-functional teams.  

Responsibilities:  

• The DBA should have knowledge of some industry standard PostgreSQL databases including creation and implementation of fully functional PostgreSQL database clusters (both in the cloud AWS RDS and on-premises), ability to maintain multiple development, QA, and production PostgreSQL environments with experience in performance tuning.  
• Review existing configurations and installations and provide design decisions for improvements to platform environments.  
• Assist in planning and performing PostgreSQL database upgrades and migrations.  
• Perform production level support and be part of the on call rotation when required.  
• This position will be responsible for supporting new and existing PostgreSQL database systems, both internally and future Cloud managed instances and will contribute in defining best practices in database administration, and introduce innovation with automation.  
• Proficient with the Linux operating systems - Ubuntu, RHEL.  
• Assist in implementing long-term strategic goals for database development in conjunction with end users, managers, clients, and other stakeholders.   
• Perform debugging, tuning, and performance enhancement as well as automation of operational and continuous integration aspect of the PostgreSQL platform.  
• Independently analyzes, solves, and corrects issues in real time, providing problem resolution end-to-end.  

Company offers: 

• Long-term employment; 
• Flexible timetable; 
• Comfortable working conditions; 
• Paid vacation and sick leaves; 
• English lessons, gym; 
• Competitive salary level. 

We are looking for an enthusiastic and motivated Business Analyst with 2+ years of commercial experience to join our team.

Please note we are only considering candidates from Lviv and Kyiv!

Must have

• At least 2 years of experience in Business Analysis
• Good understanding of SDLC and Agile methodologies
• Experience in direct communication with the clients
• Experience in writing user stories and use cases
• Experience in preparing mockups
• Experience working with Jira and Confluence
• Solid self-organization skills
• Technical skills: understanding of API, basic knowledge of SQL queries

• At least an Upper-Intermediate level of English

   

Will be a plus

• Technical background

• Experience with the Salesforce platform

   

Responsibilities

• Requirements elicitation and analysis
• Requirements decomposition
• Requirements for documentation and management
• Regular clarification of requirements with the clients and dev team
• Support in the UAT process

• Knowledge base documentation and maintenance

   

Customer

Our customer is one of the world's most successful hotel companies. Hotel has 118 properties in 47 countries. For the second consecutive year, the hotel was named the Best Luxury Hotel Chain in the world by Business Traveller magazine.

Stage

This is a growing product ecosystem. Approximately 2-3 years in development; however, the stack is up to date, with no legacy.

Team

Lviv team: 1 Solution Architect, 3 Business Analysts, 2 Project Managers, 11 Salesforce Developers, 2 Salesforce Administrators, 7 QA Engineers.

Team on the client's side: only management and several support experts

Interview Stages

1. Call with Recruiter 

2. Interview with Business Analyst

3. Client Interview

Our Benefits

• Opportunity to work with international clients;
• Paid vacations and sick-leaves, additional days-off, relocation bonus;
• Wellness: Medical insurance/ sport compensation/ health check-up+flu vaccination at your choice;
• Education: regular tech-talks, educational courses, paid certifications, English classes;
• Fun: own football team, budget for team-lunches, branded gifts;
• One of the best IT employers in Lviv based on DOU rating.

We seek a Junior Data Engineer with basic pandas and SQL experience.

At Dataforest, we are actively seeking Data Engineers of all experience levels.

If you're ready to take on a challenge and join our team, please send us your resume.

We will review it and discuss potential opportunities with you.

Requirements:

• 6+ months of experience as a Data Engineer

• Experience with SQL ;

• Experience with Python;

Optional skills (as a plus):

• Experience with ETL / ELT pipelines;

• Experience with PySpark;

• Experience with Airflow;

• Experience with Databricks;

Key Responsibilities:

• Apply data processing algorithms;

• Create ETL/ELT pipelines and data management solutions;

• Work with SQL queries for data extraction and analysis;

• Data analysis and application of data processing algorithms to solve business problems;

We offer:

• Onboarding phase with hands-on experience with major DE stack, including Pandas, Kafka, Redis, Cassandra, and Spark

• Opportunity to work with the high-skilled engineering team on challenging projects;

• Interesting projects with new technologies;

• Great networking opportunities with international clients, challenging tasks;

• Building interesting projects from scratch using new technologies;

• Personal and professional development opportunities;

• Competitive salary fixed in USD;

• Paid vacation and sick leaves;

• Flexible work schedule;

• Friendly working environment with minimal hierarchy;

• Team building activities, corporate events.

• Deliver functionality to production alongside with the team;
• Manage the team's backlog: creating, prioritizing, analyzing and researching stories, accepting stories at the end of the sprint based on an accurate in-depth understanding of functionality and business needs;
• Work closely with the team to achieve sprint goals;
• Build strong and welcoming relationships with business users and stakeholders;
• Engage with stakeholders: clarifying requirements, understanding their level of satisfaction with the team and functionality, adjusting team actions according to feedback;
• Conduct and facilitate all team meetings;
• Analyze business requirements, develop functionality for them, do necessary research to confirm/refute hypotheses.

Requirements

• Relevant experience;
• Strong command of SCRUM or KANBAN methodologies;
• Ability to lead complex discussions about team performance with product management and stakeholders;
• Good understanding of the technology components of the platform.

Hi!

We are happy to introduce you to Softsich! We are a young, ambitious, and fast-growing company that creates innovative digital products and is confidently expanding its presence in global markets.

We are currently looking for a Data Analyst to help our teams make data-driven decisions. Your main mission will be to prepare reports, automate analytical processes, and complete ad-hoc tasks. If you enjoy working with data, are able to find patterns in it, and can turn numbers into a comprehensible story, this role is for you.

Responsibilities:

• Preparing data using SQL for further visualisation.
• Developing DAGs in Airflow (working with Python).
• Visualising data and building reports in Tableau.
• Preparing regular reports and executing ad-hoc queries for the Retention Department.
• Optimising existing data collection and processing processes.

Our ideal candidate has:

• At least 1.5-2 year of commercial experience as a Data/Business Analyst (preferred).
• Strong SQL skills (ability to write complex queries using CTEs, window functions, and joins).
• Good knowledge of Python (experience with pandas, understanding of functions, ability to write modular scripts).
• Experience working with Tableau.
• Strong sense of responsibility and proactivity.
• Fast learner with high attention to detail.

We Offer:

• A flexible schedule and remote format, or offices in Warsaw/Kyiv — you choose.
• 24 paid vacation days, sick leave, and health insurance (UA-based, other locations in progress).
• A supportive, friendly team where knowledge-sharing is part of the culture.
• Coverage for professional events and learning.
• Birthday greetings, team-building events, and a warm human connection beyond work.
• Zero joules of energy to the aggressor state, its affiliated businesses, or partners.

Join our team, where data is not just numbers, but the basis for big decisions! 

Send us your CV and start your journey to new career heights with us! 🚀

CrunchCode — міжнародна сервісна ІТ-компанія з досвідом близько 7 років у розробці вебсервісів і вебзастосунків. Ми працюємо у форматах staff augmentation (outstaff) та outsourcing і підключаємо спеціалістів до проєктів клієнтів у довгостроковій моделі співпраці.

Ми працюємо переважно з проєктами в доменах логістики (включно з last mile),e-commerce, fintech та банкінгу, а також enterprise-рішеннями.
Для нас важливо, щоб проєкт був “чистим” і зрозумілим з точки зору етики та цінності для користувачів.

Ми принципово не беремо проєкти, пов’язані з:
● gambling / гемблінгом,
● adult-контентом та порнографією,
● шахрайством або будь-якою розробкою, що спрямована на обман чи маніпуляції.

What We Offer:
● Fully remote work
● Long-term, stable project
● High level of autonomy and trust
● Minimal bureaucracy
● Direct impact on business-critical logistics systems
● Long-term engagement, not a short-term contract.

Required: 
4/5 hours overlap with PST required, start ASAP, initial term with possible extension

Project Overview:
Healthcare solution, innovative and dynamic. Client create a solution, to speed up the process of inserting data by doctors. On average, doctors have to log in to 30 different systems to make sure the treatment will be covered by the insurance company.  So their solution make the copy of info (ex, all clients info) and spread it around all systems they need. This significantly decreases the time. Patients or doctors don’t pay for it, but the insurance companies.

Client Location: USA

Requirements (Must-have):
• 5+ years in data engineering or similar role
• Strong SQL skills
• Experience with Fivetran, dbt, Airflow (or similar orchestration tools)
• Snowflake or equivalent cloud data warehouse experience
• Familiar with BI tools (Superset, Looker, Tableau)
• AWS experience in a data context
• Able to work independently on assigned tasks
• 3–4 hrs/day overlap with PST
• Bonus: healthcare data experience (FHIR, HL7) or HIPAA knowledge

Responsibilities:
• Monitor for upstream schema changes & update pipelines
• Troubleshoot ETL/ELT job failures
• Debug & optimize Superset queries
• Address data quality/access issues
• Document fixes & changes

Hiring Process:
- Intro call
- Technical discussion (focused on real experience)
- Offer
Start: ASAP

TeqBlaze, a trailblazer in the AdTech industry, is looking for a Business Analyst who is passionate about quality, thrives in fast-paced environments, and is eager to make a tangible impact in AdTech.

Requirements:

• Experience as a Business Analyst/Product manager/BA combined with Project Management of 2+ years;
• Strong analytical and problem-solving skills with the ability to analyze complex data sets, extract insights, and make data-driven recommendations;
• Experience in creating and maintaining tech/feature/product documentation;
• Understanding of gathering the requirements to design detailed feature descriptions for tech team implementation;
• Proactive attitude towards learning and staying updated on industry trends, emerging technologies, and best practices in business analytics and ad tech;
• Willingness to work on product development and improvements;
• English: Upper-Intermediate and above, both verbal and written;
• Good knowledge of Atlassian instruments (Jira, Confluence) is a must.

Responsibilities:

• Collaborate with clients to gather and prioritize new features and enhancement requirements;
• Translate business needs into clear and actionable product requirements;
• Create and describe features from scratch and work with existing feature improvements/change requests;
• Conduct in-depth product research on industry trends, competitor analysis, and emerging technologies within the ad tech domain;
• Share the vision;
• Assist in developing product roadmaps and strategic plans based on market research, customer feedback, and business objectives;
• Participate in customized features upsell to customers based on their product needs;
• Develop comprehensive documentation, including product specifications, user guides, and technical documentation.

At TeqBlaze, innovation isn’t just what we do—it’s who we are. As a leader in the AdTech sector, we’re reshaping how digital advertising operates globally. Our mission is to craft cutting-edge white-label programmatic solutions that not only meet but anticipate the needs of our clients. With a focus on technology and a flair for creativity, we transform challenges into opportunities and data into insights.

Our team is a powerhouse of industry experts who thrive on the latest trends and technologies. By joining us, you become part of a dynamic community that values bold ideas and collaborative problem-solving.

Perks of working at TeqBlaze:

• Tailor your work environment to fit your lifestyle with options ranging from fully remote to hybrid, or immerse yourself in our dynamic office settings in Kyiv, Lviv, Odesa, or Mykolaiv.
• Propel your professional journey forward with access to many resources, including specialized courses, industry conferences, and a vast electronic library.
• Your efforts and achievements are valued here, reflected in performance-based salary reviews that reward your contributions.
• Enjoy a well-rounded life with 22 paid vacation days annually, comprehensive health coverage, paid sick leaves, and access to professional mental health resources.

If you have a knack for detail-oriented work and are looking for an opportunity to collaborate with a team of talented professionals, this is your chance to play a pivotal role in shaping the future of advertising technology. Dive into a role where your efforts are recognized and rewarded as you help us propel our business and our clients’ success forward.

Ready to elevate your career at TeqBlaze? We’re excited to see what you can bring to our team!

We are actively growing and expanding our team. We invite you to join the Analytics Department as a WFM Scheduling Specialist.

Key Responsibilities:

• Ensure effective scheduling of contact center agents while considering service level targets (FRT, SLA), workload, vacations, and operational requirements;
• Build monthly work schedules for the contact center based on forecasted workload (chats and calls);
• Work within the client’s WFM system;
• Prepare and maintain timesheets;
• Import and manage forecasting data;
• Collaborate closely with the Operations and HR departments to align planned and actual shifts and vacations;
• Maintain and update WFM tools / Excel models, participate in the implementation of new WFM solutions;
• Perform reforecasting (updating workload projections for schedule adjustments).

Required Knowledge and Skills:

• Experience with core and advanced Excel functions and complex formulas used for calculating operational metrics;
• Ability to create Excel reports and forecast results;
• Ability to work in a multitasking environment, stay focused, and maintain accuracy while completing reports over extended periods;
• Experience in planning and scheduling based on workload forecasts;
• English language proficiency at B2 level;
• Understanding the impact of key contact center metrics (AHT, FRT, Shrinkage, Adherence) on scheduling.

Will be an advantage:

• Experience with WFM systems (Verint, Assembled, Genesys, injixo, NICE, Calabrio, etc.);
• Skills in process automation (VBA, Power Automate, Python, SQL are a plus);
• Knowledge of Workforce Optimization / Capacity Management principles.

Senior Trader - CS2

• Are you comfortable mentoring others and setting the trading standard for FPS titles?
• Do you enjoy reviewing performance and contributing to continuous improvement?

• Do you want to be involved into shaping the long-term vision for FPS esports trading?

   

If the answers to the above questions are yes, then this role could be ideal for you!

We are looking for an experienced Senior Trader to take primary ownership of CS2 trading performance, while also being responsible for trading across other shooter titles such as Valorant, Rainbow Six Siege, and similar games.

This role is hands-on and highly dynamic, where you will trade matches using in-house mathematical models, monitor third-party pricing feeds as needed, and make adjustments to maintain balanced and competitive markets.

You will collaborate closely with Analytics and Data Science teams to ensure trading decisions are data-driven and market operations run smoothly.

What you will do 

• Manage pre-match and live odds for CS2 matches across all tiers
• Trade esports matches using in-house pricing models and monitor third-party feeds, making adjustments as needed
• Analyze statistics across different periods to determine odds for pre-match and live markets
• Monitor competitor odds and identify market inefficiencies
• Support the Director of Trading in defining market strategy, trading rules, and operational decisions
• Collaborate with Analytics team on model development and calibration
• Mentor junior traders and contribute to trading best practices

• Support continuous improvement in trading processes, tools, and automation

   

Your skills will include

• 5+ years of experience in esports trading, preferably with a strong focus on CS
• Deep understanding of FPS esports titles, including game mechanics, tournament formats, teams, meta, and results
• Proven track record in live trading and risk management
• Strong mathematical understanding of probabilities and expected value
• Analytical mindset and strong attention to detail
• Ability to work in a fast-changing, high-pressure environment
• Ability to work flexible hours including evenings/weekends for live events
• Quick decision-making under pressure

Nice to have

• Hands-on experience with trading automation or building trading tools
• Experience mentoring junior traders

• Familiarity with model validation and statistical testing for pricing models

   

Benefits of working at GRID

• Flexible working conditions
• Mental health support
• Company and team-wide events
• Work travel opportunities with travel insurance

• Training and development budget

   

About our culture

• Flexibility: Work from the place that inspires and motivates you the most! From our awesome Berlin/ Wroclaw offices to the comfort of your own home. Meet up in person with your colleagues every so often, making use of the travel opportunities GRID offers
• Sustainability: We want our employees to be well-rested and able to perform effectively. We offer a generous vacation allowance (28+ days a year) and the opportunity to speak with professional counselors to support mental health, covered by the business
• Pragmatic: GRID thrives on being rational, allowing us to make the best decisions rather than keeping to rigid processes and procedures that don’t work well for us
• Fostering growth: Empowering employees who are determined to grow by providing a self-development budget and strong career advancement opportunities. Support from your teammates to guide and encourage you to grow in your desired professional field

• Company culture: We believe a diverse industry is best served with an inclusive and diverse workforce. With people based in over 24 countries, our latest employee survey shows that more than 98% agree GRID provides a supportive, effective remote work environment

   

About GRID

Founded in 2018 in Berlin, GRID offers the GRID Data Platform to the esports & games industry. Specializing in in-game and play-by-play data, GRID curates data for game developers and tournament organizers and leverages its data platform to unlock the potential of the right holders’ data assets for the purposes of storytelling, fan engagement, and integrity.

GRID’s official data partnerships cover multiple partnered rights holders (data sources) and integrated commercial data consumers, covering 15+ game titles. Our exclusive data partners include the likes of Riot Games, Ubisoft, Krafton, Moonton, BLAST, PerfectWorld, Hero Esports and CCT.

If you have the ambition and desire to work at the forefront of cutting-edge industry projects, then GRID is the place for you.

Apply today to find out more and begin your journey!

About Us

We are a fast-growing international iGaming company with over 3 years of success and a team of 1,000+ professionals.
We operate 8 large-scale projects trusted by thousands of players worldwide and focus on building data-driven, scalable products.
We value expertise, initiative, and continuous growth, offering an environment where professionals can make a real impact on the future of the entertainment industry.
 

About the Role

We are looking for a Product Analyst (Retention) to join our iGaming team.
In this role, you will focus on analyzing player behavior, retention metrics, and product performance to support data-driven decisions and improve long-term user engagement, working closely with product, marketing, and BI teams to identify growth opportunities and optimize retention strategies.
 

Responsibilities

• Analyze player behavior, retention, and lifecycle metrics
• Perform cohort and funnel analysis to identify drop-off points and growth opportunities
• Evaluate the effectiveness of bonuses, promotions, and retention campaigns
• Build dashboards and regular reports for product and business teams
• Translate data insights into clear and actionable product recommendations
• Collaborate closely with product managers, marketers, and BI specialists
   

Requirements

• 3+ years of experience in product, retention, or behavioral analytics
• Strong SQL skills and experience working with large datasets
• Hands-on experience with BI tools and data visualization
• Solid understanding of retention metrics, cohorts, and user behavior analysis
• Product mindset and ability to work with business stakeholders
• Strong analytical thinking and attention to detail
   

Nice to Have

• Experience in iGaming, betting, or other high-load B2C products
• Experience with A/B testing and experimentation
• Knowledge of statistics and predictive analytics
   

What We Offer

• Full-time remote work (Mon–Fri, 10:00–19:00 UTC+2) 💻
• Competitive salary and performance-based bonuses 💸
• Paid vacation and sick leave 🌴
• Birthday gifts and corporate activities 🎁
• Professional growth and onboarding support
• Regular internal events and team-building activities
• Corporate psychologist support 🧠
• Friendly and growth-oriented work environment
   

Ready to Join Us?

If you’re ready to bring your expertise to a dynamic, fast-growing iGaming team and make a real impact on retention and product decisions, we’d be happy to meet you.
Join us and be part of our growth journey.

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 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the role:
We are looking for a Computer Vision / Machine Learning Engineer to develop offline CV models for industrial visual inspection.

Your main task will be to design, train, and evaluate models on inspection data in order to:

• Improve discrimination between good vs. defect samples
• Provide insights into key defect categories (e.g., terminal electrode irregularities, surface chipping)
• Significantly reduce false-positive rates, optimizing for either precision, or recall
• Prepare the solution for future deployment, scaling, and maintenance
•  

Key Responsibilities:
Data Analysis & Preparation
- Conduct dataset audits, including class balance checks and sample quality reviews
- Identify low-frequency defect classes and outliers
- Design and implement augmentation strategies for rare defects and edge cases
Model Development & Evaluation
- Train deep-learning models on inspection images for defect detection
- Use modern computer vision / deep learning frameworks (e.g., PyTorch, TensorFlow)
- Evaluate models using confusion matrices, ROC curves, precision–recall curves, F1 scores and other relevant metrics
- Analyze false positives/false negatives and propose thresholds or model improvements
Reporting & Communication
- Prepare clear offline performance reports and model evaluation summaries
- Explain classifier decisions, limitations, and reliability in simple, non-technical language when needed
- Provide recommendations for scalable deployment in later phases (e.g., edge / on-prem inference, integration patterns)

Candidate Requirements:
Must-have:
- 1-2 years of hands-on experience with computer vision and deep learning (classification, detection, or segmentation)
- Strong proficiency in Python and at least one major DL framework (PyTorch or TensorFlow/Keras)
- Solid understanding of:

• Image preprocessing and augmentation techniques
• Classification metrics: accuracy, precision, recall, F1, confusion matrix, ROC, PR curves
• Handling imbalanced datasets and low-frequency classes

- Experience training and evaluating offline models on real production or near-production datasets
- Ability to structure and document experiments, compare baselines, and justify design decisions
- Strong analytical and problem-solving skills; attention to detail in data quality and labelling
- Good communication skills in English (written and spoken) to interact with internal and client stakeholders

Nice-to-have:
- Experience with industrial / manufacturing computer vision (AOI, quality inspection, defect detection, etc.)
- Familiarity with ML Ops/deployment concepts (ONNX, TensorRT, Docker, REST APIs, edge devices)
- Experience working with time-critical or high-throughput inspection systems
- Background in electronics, semiconductors, or similar domains is an advantage
- Experience preparing client-facing reports and presenting technical results to non-ML audiences

We offer:
- Free English classes with a native speaker and external courses compensation;
- PE support by professional accountants;
- 40 days of PTO;
- Medical insurance;
- Team-building events, conferences, meetups, and other activities;
- There are many other benefits you’ll find out at the interview.

About Digis
Digis is a European IT company with 200+ specialists delivering complex SaaS products, enterprise solutions, and AI-powered platforms worldwide.
We partner with clients from the US, UK, and EU, building long-term dedicated teams and offering transparency, stability, and continuous professional growth for our engineers.

About the Project
A hospitality-tech company, leading digital guest engagement. Their technology puts the power to order and pay back into the hands of the customer. They are currently processing hundreds of thousands of orders a week for leading hospitality brands in over 60+ countries.
Being a scaling company, they are not burdened by a complicated company structure, as such
there’s ample opportunity to progress and impress. Nothing is off-limits, if there’s something
that you wish to be involved in, within the business, it is welcomed. Their company’s philosophy is that the best ideas should prevail.

Requirements

• Experience: 5+ years as a Data Analyst
• SQL: 1+ year of hands-on experience
• BI tools: 1+ year (ideally Looker, but Power BI, Tableau, etc. are also acceptable)
• Salesforce: any experience
• English level: Upper-Intermediate+

What Makes This Role Special

• Global product used in 60+ countries
• Large volumes of real production data
• High visibility across the business
• Ownership of the analytics layer
• Direct impact on decision-making

• Opportunity to influence systems and processes

  
  We Offer

• Paid 20 vacation days per year
• Paid 5 sick leaves per year with no medical documents needed
• Сompensation for subject-matter trainings
• Worktools (PC, laptop, monitor) and workplace arrangement, if needed
• Assistance in choosing and compensation for English courses
• 100% horizontal in-company organization and communications
• Possibility to switch between projects and technologies within the company
• Accounting support
• Free corporate psychologist services

We are growing our AI/ML team and are looking for a Senior Machine Learning Engineer to take a leading role in building and scaling applied machine learning systems that power personalization and discovery features across our platform. A key initiative is a large-scale recommendation system based on a two-tower architecture, deployed on AWS and serving millions of users. This position is not limited to a single use case. You will also contribute to other machine learning and data science initiatives, helping define best practices and raising the overall ML maturity of the team.

What you’ll drive:

Technical Leadership & Ownership

• Take technical ownership of core components of recommendation and personalization systems (retrieval, ranking, evaluation).
• Design and evolve two-tower / embedding-based retrieval models and downstream rankers.
• Drive architectural and modeling decisions with a strong understanding of trade-offs between model quality, system complexity, latency, and cost.
• Define and promote best practices for ML system design, experimentation, evaluation, and deployment.
• Review ML designs, pipelines, and code with a focus on correctness, maintainability, and production readiness.
• Act as a technical point of reference for ML-related decisions within the team

Hands-on ML Development

• Develop, train, and improve ML models for retrieval and ranking use cases.
• Work with embedding-based deep learning models and classical ML approaches.
• Perform in-depth data analysis, feature exploration, and systematic error analysis.
• Build reproducible experiments and robust offline evaluation pipelines.
• Optimize models for both offline metrics and online business KPIs.
• Design and operate batch and real-time training and inference workflows in a cloud environment, with awareness of scalability and cost trade-offs.

Experimentation & Production

• Design, run, and analyze offline experiments and online A/B tests.
• Own ML components in production, with a strong focus on reliability, observability, and safe iteration.
• Monitor model performance and data quality in production.
• Collaborate on scalable training and serving infrastructure for ML systems.
• Participate in incident analysis related to ML systems and contribute to root-cause analysis and long-term fixes.
• Design ML systems with failure modes in mind, including fallbacks and graceful degradation.

Collaboration & Mentorship

• Work closely with Data Engineering on data pipelines and feature generation.
• Partner with Product and Analytics to translate business goals into clear ML objectives and success metrics.
• Act as a technical mentor for ML engineers, providing guidance on modeling, experimentation, and production ML.

• Provide constructive feedback through code reviews and design discussions, supporting the growth of the team.

   

What makes you a GR8 fit:

Must-have

• 5+ years of experience in Machine Learning / Applied Data Science.
• Strong Python skills and experience writing production-quality ML code.
• Solid foundation in core ML and data science tools: NumPy, Pandas, scikit-learn, etc.
• Hands-on experience with deep learning frameworks (PyTorch or TensorFlow).
• Practical experience with embedding models and similarity-based retrieval.
• Experience with tree-based models (LightGBM, XGBoost).
• Strong understanding of ML evaluation, experimentation, and applied statistics.
• Experience deploying, operating, and maintaining ML models in production environments.
• Proficiency with Git, Linux, Docker, and standard ML development workflows.

• Practical experience deploying ML systems in a cloud environment (AWS or equivalent).

   

Nice-to-have

• Direct experience with recommendation systems or search-related problems.
• Experience designing or operating two-tower / dual-encoder architectures.
• Familiarity with ANN methods and large-scale retrieval (e.g., FAISS or equivalents).
• Understanding of common ML production challenges (training–serving skew, data leakage, model drift).
• Experience collaborating on data pipelines and feature engineering at scale.
• Experience leading or mentoring other ML engineers.
• Experience with experiment automation and hyperparameter optimization (Optuna, Ray /Tune, Hyperopt, or cloud-native equivalents).
• Background in high-scale consumer products (content, gaming, media, marketplaces).

• Experience working with CI/CD pipelines for ML workflows (training, evaluation, deployment).

   

Tech Stack

• Languages: Python, SQL.
• Core ML / DS: NumPy, Pandas, scikit-learn.
• Deep Learning: PyTorch / TensorFlow.
• ML Models: LightGBM, XGBoost.
• Retrieval: Embeddings, ANN.
• Cloud & Data: AWS, SageMaker, S3, Glue.
• Dev & MLOps: Git, Docker, Linux.