Jobs

We are now looking for a Data Scientist with LLM usage background to join our development team and help build innovative solutions in medical tourism.
 

Your Role:

As a Data Scientist, you will:

• Extract medical entities and patterns from large volumes of text documents including medical reports, patient histories, and clinical notes using NLP techniques (NER, entity linking) to identify diagnoses, procedures, medications, and symptoms for automated document processing and intelligent search capabilities.
• Implement clustering and similarity detection algorithms to group similar medical cases, treatment patterns, and patient profiles, enabling better matching between patients and healthcare providers through unsupervised learning methods (K-means, DBSCAN, hierarchical clustering) and semantic similarity measures.
• Engineer data architecture for new chatbot features and integrate them with existing tools like CRM, databases, and analytics services.
• Optimize AI solutions to enhance system speed, stability, and quality, including refactoring and improving existing functionalities, while incorporating state-of-the-art AI methodologies and frameworks.
• Build personalized offer-generation services by aggregating data from forms, chats, attached files, clinic price lists, and historical databases to generate real-time, patient-specific proposals.
• Work with databases (MySQL, PostgreSQL, MongoDB) to design scalable structures, write efficient queries, and ensure data security and integrity.
• Test, refactor, and maintain code while documenting key decisions and ensuring clean, maintainable systems.
• Support our chatbot assistant by designing and implementing advanced AI-driven modules (multi-layered task decomposition for optimal results), leveraging Natural Language Processing + LLM services to enhance conversational capabilities and user experience.
• Enhance business processes by brainstorming with Sales and Product teams, suggesting improvements, and exploring new AI/ML advancements (e.g., OpenAI, Lama, other ML tools) to integrate novel solutions into existing workflows.
   

What You Need:

• 4+ years of experience in data science or related fields.
• Strong expertise in Python (preferably with FastAPI).
• A solid understanding of modern big data analysis approaches, clustering, and correlation searches.
• Prompt engineering (OpenAI / Claude models)
• Database architecture skills
• Proficiency in MySQL and MongoDB
• Hands-on experience with AI tools for tasks like text/image analysis and content generation.

What We Offer

• Competitive salary aligned with market standards.
• Engaging projects in the medical tourism and travel industries.
• A collaborative environment of Python and PHP engineers, frontend developers, product managers, and medical coordinators.
• Comprehensive benefits package, including:
  • 22 paid vacation days annually.
  • Medical insurance.
  • Compensation for sports activities.
  • Remote work flexibility with an 8-hour workday starting between 8–10 AM.
• Opportunities to grow your skills with regular updates to your compensation.
• The chance to impact a meaningful product that transforms lives.

We’re building production-ready AI solutions and looking for an engineer who can help us make our systems scalable, reliable, and intelligent. If you love combining AI/ML expertise with strong software engineering practices - this role is for you.

What You’ll Work On:
- Designing and deploying AI-powered systems using LLMs (OpenAI, Anthropic, etc.)
- Building agent-based solutions with frameworks like LangChain, CrewAI, or AutoGen
- Integrating AI systems with external APIs, databases, and production services
- Writing clean, tested Python code and deploying services to the cloud
- Collaborating with stakeholders to translate business requirements into technical solutions

Must-Have:
- AI/ML: 2+ years hands-on, with at least one AI system deployed in production
- LLM stack: LangChain / CrewAI / AutoGen (one is enough)
- Prompt engineering: Chain-of-Thought, ReAct, tool/function calling
- Python: 3+ years, strong fundamentals, Flask/FastAPI, async/await, REST APIs
- Production experience: logging, testing, error handling, and running systems in production
- Cloud: AWS / GCP / Azure (any one is fine)
- Engineering culture: Git, CI/CD, databases (PostgreSQL / MySQL)

Nice-to-Have:
- Vector databases (Pinecone, Weaviate)
- Docker / containerization
- Background in Fintech or financial services
- Advanced ML/AI education or certifications

The Project:
We’re building a system to automate accounting operations for companies.
It reads, analyzes, compares, and interacts with accounting data.
The goal: faster, more accurate, and scalable processes, reducing manual work and boosting client efficiency.
Current stage: MVP is nearly complete. The next step is automating the MVP and scaling the product.

We are looking for a highly motivated and results-driven Data Lead to join our team full-time. In this role, you will shape the vision, architecture, and delivery frameworks for both Data Engineering and Data Science, aligning the teams into a single, high-impact function.

We drive fintech innovation through deep analytical expertise and a data-first, engineering-driven approach.

Key Responsibilities

Data Engineering Leadership

• Design and evolve a scalable data platform architecture
• Oversee development of robust ETL/ELT pipelines and real-time data streams
• Establish engineering best practices: code reviews, CI/CD, data contracts, observability
• Drive technology selection and resource planning for ClickHouse, Spark, and supporting infrastructure
• Ensure data quality through monitoring, alerting, SLA ownership, and remediation processes
• Validate and clean incoming data to maintain high-integrity datasets

Data Science Leadership

• Define and lead ML strategy focused on business impact (LTV, churn, recommendations)
• Drive advanced feature engineering: transformation, normalization, feature generation
• Own model training, hyperparameter optimization, evaluation pipelines, and experiment tracking
• Ensure operational stability and observability of ML services
• Partner with stakeholders to turn complex challenges into data-driven, Responsible AI solutions
• People & Cross-Functional Leadership
• Communicate effectively across technical and non-technical teams to influence decisions
• Lead cross-team processes (e.g., grooming, design reviews, retrospectives)
• Mentor team members, create growth plans, and foster a culture of psychological safety and accountability

Requirements

• 5+ years of hands-on experience in both Data Science and Data Engineering, delivering end-to-end solutions
• 2+ years of experience managing data teams (hiring, mentoring, performance management)
• Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, Electrical Engineering, or a related field
• Strong programming skills in Python, with experience writing clean, production-grade code
• Solid understanding of software engineering best practices (CI/CD, testing, code reviews, clean architecture)
• Practical experience with ML libraries and platforms (e.g., scikit-learn, XGBoost, PySpark)
• Deep understanding of core ML algorithms: linear/logistic regression, gradient boosting
• Strong foundation in mathematical statistics and probability theory
• Proficient in SQL: complex queries, analytical functions, performance tuning
• English Intermediate and higher

Nice to have

• Experience working with ClickHouse or other OLAP databases
• Background in the trading domain or financial markets
• Experience analyzing and modeling time series data (e.g., price charts, temporal signals)
• Familiarity with anti-fraud systems and techniques

We offer

• Tax expenses coverage for private entrepreneurs in Ukraine
• Expert support and guidance for Ukrainian private entrepreneurs
• 20 paid vacation days per year
• 10 paid sick leave days per year
• Public holidays as per the company’s approved Public holiday list
• Medical insurance
• Opportunity to work remotely
• Professional education budget
• Language learning budget
• Wellness budget (gym membership, sports gear and related expenses)

Project
Global freight management solutions and services, specializing in Freight Audit & Payment, Order Management, Supplier Management, Visibility, TMS and Freight Spend Analytics.

Overview
We are looking for a Data Scientist with strong background in statistics and probability theory to help us build intelligent analytical solutions. The current focus is on outlier detection in freight management data, with further development toward anomaly detection and forecasting models for logistics and freight spend. The role requires both deep analytical thinking and practical hands-on work with data, from SQL extraction to model deployment.

Key Responsibilities

• Apply statistical methods and machine learning techniques for outlier and anomaly detection.
• Design and develop forecasting models to predict freight costs, shipment volumes, and logistics trends.
• Extract, preprocess, and transform large datasets directly from SQL databases.
• Categorize exceptions into business-defined groups (e.g., High Value Exceptions, Accessorial Charge Exceptions, Unexpected Origin/Destination).
• Collaborate with business analysts to align analytical approaches with domain requirements.
• Use dashboards (e.g., nSight) for validation, visualization, and reporting of results.

• Ensure models are interpretable, scalable, and deliver actionable insights.

   

Requirements

• Strong foundation in statistics and probability theory.
• Proficiency in Python with libraries such as pandas, numpy, matplotlib, scikit-learn.
• Proven experience with outlier/anomaly detection techniques.
• Hands-on experience in forecasting models (time-series, regression, or advanced ML methods).
• Strong SQL skills for working with large datasets.

• Ability to communicate findings effectively to both technical and non-technical stakeholders.

   

Nice to Have

• Experience with ML frameworks (TensorFlow, PyTorch).
• Familiarity with MLOps practices and model deployment.
• Exposure to logistics, supply chain, or financial data.
• Knowledge of cloud platforms (AWS, GCP, Azure).

We are seeking a Machine Learning Engineer to enhance our data science and ML capabilities, supporting current and upcoming projects. The ideal candidate will have strong expertise in developing, deploying, and optimizing predictive models and working with modern ML platforms in a cloud environment. You will collaborate closely with product and engineering teams to deliver data-driven solutions that directly impact business outcomes.

Benefits:

• Opportunity to work with cutting-edge ML platforms and cloud technologies
• Supportive and collaborative international team
• Flexible working schedule
• Fully remote work with the ability to work from anywhere

Requirements:

• Proven experience in building and optimizing machine learning models for predictive analytics, regression, forecasting, and categorization tasks.
• Strong proficiency in Python, including libraries such as pandas, NumPy, scikit-learn, TensorFlow, or PyTorch, for end-to-end model development and deployment.
• Hands-on expertise with cloud ML platforms like Google AutoML or AWS SageMaker to accelerate and scale model training.
• Solid knowledge of data processing with tools such as SQL, BigQuery, or Spark, including data wrangling, feature engineering, and managing large-scale workflows.
• Practical understanding of model lifecycle management, including version control, monitoring, retraining, and performance optimization.
• Experience integrating ML solutions into cloud-based data pipelines and APIs, ensuring production-level reliability.
• Familiarity with MLOps best practices, including CI/CD workflows for ML, containerization with Docker, and orchestration with Kubernetes.
• Strong background in statistical modeling, experimentation, and A/B testing to validate and continuously improve model performance.

Responsibilities:

• Develop, evaluate, and optimize ML models for predictive analytics, forecasting, and categorization tasks
• Build and maintain scalable data pipelines and integrate ML solutions into production environments
• Apply feature engineering, data wrangling, and statistical modeling techniques to improve model performance
• Manage model lifecycle (monitoring, retraining, versioning) and ensure scalability
• Collaborate with product managers, engineers, and analysts to align business requirements with technical solutions
• Participate in A/B testing and experimentation to validate performance of ML models
• Contribute to MLOps best practices and improve CI/CD workflows for ML projects

About client:

A multifaceted digital media company dedicated to helping citizens, consumers, business leaders, and policy officials make important decisions in their lives. The company publishes independent reporting, rankings, data journalism, and advice that has earned the trust of readers and users for nearly 90 years. They are an American media company that publishes news, consumer advice, rankings, and analysis. It was launched in 1948 as the merger of a domestic-focused weekly newspaper and an international-focused weekly magazine. In 1995, the company launched its website, and in 2010 the magazine ceased printing. They reach more than 40 million people monthly during moments when they are most in need of expert advice and are motivated to act on that advice directly on their platforms.

Industry: Online Media

Location: United States

About project:

An American media company that publishes news, opinion, consumer advice, rankings, and analysis. Founded as a news magazine in 1933, it transitioned to primarily web-based publishing in 2010, although it still publishes its rankings. It covers politics, education, health, money, careers, travel, technology, and cars.

Junior Data Scientist / Data Engineer | Blockchain | On-Chain Analytics
Location: Remote
Type: Full-time
 

Everstake is the largest blockchain network validator in Ukraine and one of the top players in global Web3 infrastructure. We support dozens of networks worldwide and are scaling fast.

We are looking for an exceptional Data Scientist / Data Engineer to join our team. The ideal candidate has a strong passion for blockchain technology and a proven track record of leveraging data to drive insights and business decisions.

About the Role

You’ll be responsible for conducting deep analysis of on-chain data, developing hypotheses to improve profitability, and creating tools to automate data collection and analysis. Your work will have a direct impact on strategy and decision-making at Everstake.

What You’ll Do

• Conduct deep analysis of on-chain data to identify trends, patterns, and insights.
• Propose and test hypotheses that can increase company revenue and efficiency.
• Collaborate with cross-functional teams to translate data into actionable recommendations.
• Build and maintain tools and scripts for data collection, processing, and analysis.
• Create reports, dashboards, and visualizations (e.g., PowerBI, Tableau) using blockchain data.
• Communicate findings clearly to both technical and non-technical stakeholders.
• Stay up-to-date with blockchain innovations and apply them to on-chain analytics.
   

What We’re Looking For

• Bachelor’s or Student degree in Computer Science, Data Science, or a related field.
• Proficiency with SQL or SQL-like query languages.
• Experience working with large datasets and data analysis libraries (e.g., Pandas, NumPy, SciPy).
• Strong background in blockchain technology and on-chain data analysis.
• Hands-on experience with data visualization tools (PowerBI, Tableau, or similar).
• Excellent analytical, problem-solving, and critical-thinking skills.
• Strong written and verbal communication skills.
   

Nice to Have

• Experience with big data frameworks (e.g., Spark, Hadoop).
• Familiarity with Web3 analytics platforms and APIs.
• Contributions to blockchain / crypto open-source projects.
• Knowledge of statistical modeling or machine learning methods.

We are seeking an experienced and highly skilled Senior Data Scientist to drive data-driven decision-making and innovation. In this role, you will leverage your expertise in advanced analytics, machine learning, and big data technologies to solve complex business challenges. You will be responsible for designing predictive models, building scalable data pipelines, and uncovering actionable insights from structured and unstructured datasets. Collaborating with cross-functional teams, your work will empower strategic decision-making and foster a data-driven culture across the organization.

Desired candidates possess:

Technical Skills:

• Proficiency in Python, R, or other data science programming languages.
• Strong knowledge of machine learning libraries and frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
• Advanced SQL skills for querying and managing relational databases.
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP), preferably MS Azure.
• Familiarity with data visualization tools such as Power BI, Tableau, or equivalent, preferably MS Power BI.

Analytical and Problem-solving Skills:

• Expertise in statistical modeling, hypothesis testing, and experiment design.
• Strong problem-solving skills to address business challenges through data-driven solutions.
• Ability to conceptualize and implement metrics/KPIs tailored to business needs.

Soft Skills:

• Excellent English communication skills to translate complex technical concepts into business insights.
• Collaborative mindset with the ability to work in cross-functional teams.
• Proactive and detail-oriented approach to project management and execution.

Education and Experience:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• 8+ years of experience in data science, advanced analytics, or a similar field.
• Proven track record of deploying machine learning models in production environments.

Key Responsibilities:

1. Data Exploration and Analysis:

• Collect, clean, and preprocess large and complex datasets from diverse sources, including SQL databases, cloud platforms, and APIs.
• Perform exploratory data analysis (EDA) to identify trends, patterns, and relationships in data.
• Develop meaningful KPIs and metrics tailored to business objectives.

2. Advanced Modeling and Machine Learning:

• Design, implement, and optimize predictive and prescriptive models using statistical techniques and machine learning algorithms.
• Evaluate model performance and ensure scalability and reliability in production.
• Work with both structured and unstructured data for tasks such as text analysis, image processing, and recommendation systems.

3. Data Engineering and Automation:

• Build and optimize scalable ETL pipelines for data processing and feature engineering.
• Collaborate with data engineers to ensure seamless integration of data science solutions into production environments.
• Leverage cloud platforms (e.g., AWS, Azure, GCP) for scalable computation and storage.

4. Data Visualization and Storytelling:

• Communicate complex analytical findings effectively through intuitive visualizations and presentations.
• Create dashboards and visualizations using tools such as Power BI, Tableau, or Python libraries (e.g., Matplotlib, Seaborn, Plotly).
• Translate data insights into actionable recommendations for stakeholders.

5. Cross-functional Collaboration and Innovation:

• Partner with business units, product teams, and data engineers to define project objectives and deliver impactful solutions.
• Stay updated with emerging technologies and best practices in data science, machine learning, and AI.
• Contribute to fostering a data-centric culture within the organization by mentoring junior team members and promoting innovative approaches.

What we offer:

Employment according to the Labor Code of Ukraine (with full tax compensation) or PE;

• Monthly income: Salary — $4500-$5500;
• Bonuses + Referral program;
• Paid vacation per annum (the “Annual Vacation”), paid Sick leave;
• Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions

Grab your chance to join us, and send us your CV in English!

We are seeking a highly skilled Machine Learning Engineer with expertise in Deep Learning, Natural Language Processing (NLP), and Large Language Models (LLMs). You will be responsible for designing, building, and deploying advanced ML models and pipelines, ensuring scalability, performance, and production readiness. The ideal candidate has strong research knowledge combined with hands-on engineering skills to deliver intelligent, enterprise-grade AI solutions.

Details:
Location: Remote in EU
Employment Type: Full-Time, B2B Contract
Start Date: ASAP
Language Requirements: Fluent English

Key Responsibilities

• Design, develop, and optimize ML models with a focus on deep learning, NLP, and LLM-based applications.
• Build scalable pipelines for training, fine-tuning, evaluation, and deployment of models.
• Work with frameworks such as PyTorch, TensorFlow, and Hugging Face Transformers.
• Fine-tune and adapt pre-trained LLMs (GPT, BERT, LLaMA, etc.) for domain-specific tasks.
• Develop solutions for text classification, summarization, embeddings, RAG, and conversational AI.
• Ensure model scalability, robustness, and low-latency performance in production environments.
• Collaborate with data engineers to prepare and optimize large-scale datasets.
• Implement MLOps practices (CI/CD, monitoring, retraining, governance).
• Participate in code reviews, documentation, and technical knowledge sharing.

Requirements

• 5+ years of experience in machine learning, with at least 3+ years focused on deep learning/NLP.
• Strong expertise in PyTorch or TensorFlow, and NLP frameworks (Hugging Face, spaCy, NLTK).
• Hands-on experience with LLMs (GPT, T5, LLaMA, Falcon, etc.), fine-tuning and prompt engineering.
• Proficiency in Python and libraries (NumPy, Pandas, Scikit-learn).
• Experience with MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI, or Azure ML).
• Strong understanding of transformer architectures, embeddings, and attention mechanisms.
• Familiarity with cloud platforms (AWS, Azure, GCP) for ML deployment.
• Excellent problem-solving and debugging skills.

Nice to Have

• Experience with vector databases (Pinecone, Weaviate, Milvus) for semantic search.
• Knowledge of retrieval-augmented generation (RAG) pipelines.
• Exposure to multimodal ML (text + image/audio/video).
• Contributions to open-source ML/NLP projects.
• Advanced degree (MSc/PhD) in Computer Science, AI, or related field.
• Industry background in fintech, healthcare, telecom, or e-commerce.

About the Role

We’re seeking a Team Lead – Generative AI Engineer to lead a team of engineers in designing, developing, and deploying production-grade AI systems. This role is ideal for someone who is both a strong technical contributor and an experienced people leader—capable of driving architecture decisions, mentoring team members, and delivering innovative AI solutions at scale.

You will be responsible for guiding the end-to-end lifecycle of Generative AI applications, ensuring technical excellence, scalability, and alignment with business needs. This includes working across backend systems, RAG pipelines, prompt engineering, and cloud-native deployments.

Key Responsibilities

• Leadership & Team Management
  • Lead and mentor a team of AI/ML engineers, fostering growth and technical excellence.
  • Define and enforce coding standards, architectural patterns, and best practices.
  • Collaborate with stakeholders to translate business needs into AI-driven solutions.
  • Manage project timelines, technical risks, and team deliverables.
  • Generative AI & Prompt Engineering
    • Integrate and optimize applications using LLM provider APIs (OpenAI, Anthropic, etc.).
    • Design prompts with advanced techniques (few-shot, chain-of-thought, chaining, context crafting).
    • Implement safeguards (guardrails, structured output validation, injection protection).
  • Architecture & Backend Development
    • Build scalable backend services in .NET (C#) and Python, working with SQL and APIs.
    • Develop and manage RAG pipelines, conversational AI systems, and summarization tools.
    • Drive observability: tracing, logging, monitoring for LLM-powered systems.

  • Evaluation & Optimization

    • Benchmark and evaluate LLMs using custom datasets and automated testing.
    • Oversee system reliability, performance tuning, caching, and optimization.
    • Ensure solutions meet enterprise-grade standards for security and scalability.

     

    Required Skills & Qualifications

  • 5+ years of professional experience in Machine Learning / AI engineering.
  • 1–2+ years hands-on experience in Generative AI application development.
  • Proven leadership or team lead experience (mentoring, managing, or leading AI/ML engineers).
  • Strong backend engineering skills in .NET (C#), SQL, and Python.
  • Solid knowledge of LLM providers (OpenAI, Anthropic, etc.) and prompt engineering techniques.
  • Experience with RAG pipelines, AI workflows, and productionizing LLM systems.
  • Hands-on with Docker, Kubernetes, REST APIs, and Azure (AKS, ACR, containerized deployments).
  • Excellent communication skills (English, written and spoken).
  • Preferred / Nice-to-Have
  • Azure AI ecosystem: OpenAI, PromptFlow, Azure ML, AI Services.
  • Familiarity with CosmosDB, KQL, Azure Log Analytics, App Insights.
  • Experience with multiple LLM providers (Anthropic, Mistral, Cohere, etc.)
  • Prompt caching, compression, and output validation strategies.
  • Redis caching for performance optimization.
  • Frontend experience with React and Next.js.

We’re looking for a proactive Data Scientist to join our growing team and help us redefine the future of eSports betting! You will develop and implement advanced models for esports betting, focusing on games such as Dota 2, League of Legends, etc. Oversee the entire model development lifecycle, including design, testing, and performance optimization.

What you’ll be doing:

• Develop and implement betting models using Python and Golang.
• Design and optimize mathematical models, including statistical models, classical machine learning techniques, and neural networks.
• Analyze the performance and impact of models, ensuring operational efficiency.
• Prototype and assess models to evaluate their effectiveness and user acceptance.
• Integrate models with existing systems and optimize performance.
• Collaborate with backend and frontend teams for seamless implementation and decision-making.
• Conduct in-depth statistical analysis and apply machine learning methods to enhance forecasting accuracy.

What we’re looking for:

• 3+ years of commercial experience with Python.
• Strong knowledge of statistics and practical experience with ML techniques.
• Proven expertise in mathematical modeling, including statistical methods, classical ML approaches, and neural networks.
• Strong data processing skills (validation, parsing, visualization).
• Understanding business logic of decisions and analytical thinking ability.
• Excellent communication skills and the ability to work in a team.
• Ability to assess the business value of tasks.
• English – Intermediate level.
• Nice to have: Higher education in computer science, mathematics, statistics, or a related discipline is a plus.

• Nice to have: Experience in the betting industry or related fields is an advantage.

   

What We Offer:

• Your wellbeing and a comfortable work environment are our top priorities:
• Flexible schedule & work format (office/hybrid): work where and when you feel most productive.
• 20 paid + 15 unpaid vacation days: take time off whenever you need to reset.
• An extra day off on your birthday — celebrate it your way!
• Medical insurance: take care of your health with extended coverage (available in Ukraine only).
• 22 sick days: 8 days without a doctor’s note (for sick leave or mental health), 10 with a note, plus 4 Personal Days per year — for personal matters, when it is necessary.
• Gifts and bonuses for life’s big moments: weddings, new babies, kindergarten support (available in Ukraine only).

Who We Are:

We’re DATA.BET — a product-driven IT company transforming the world of sports, esports, and virtual betting with our innovative sportsbook solution. 

Since 2017, we’ve been building tech that directly shapes the industry.
Our team of experts blends hands-on experience with AI technologies to deliver cutting-edge solutions that set new standards in betting.

We are looking for you!

We are seeking a Senior Data Scientist to drive the next generation of data-driven solutions. This role calls for deep expertise in data architecture, advanced analytics, and pipeline design. If you are a seasoned professional ready to lead initiatives, innovate with cutting-edge techniques, and deliver impactful data solutions, we’d be excited to have you join our journey.

Contract type: Gig contract
 

Skills and experience you can bring to this role

Qualifications & experience:

• At least 3 years of commercial experience with Python, Data Stack (NumPy, Pandas, scikit-learn) and web stack (Fast API / Flask / Django);
• Familiarity with one or more machine learning frameworks (XGBoost, TensorFlow, PyTorch);
• Strong mathematical and statistical skills;
• Good Understanding of SQL/RDBMS and familiarity with data warehouses (BigQuery, Snowflake, Redshift, etc.);
• Experience building ETL data pipelines (Airflow, Prefect, Dagster, etc);
• Knowledge of Amazon Web Services (AWS) ecosystem (S3, Glue, Athena);
• Experience with at least one MMM or marketing analytics framework (e.g., Robyn, PyMC Merydian or similar);
• Strong communication skills to explain technical insights to non-technical stakeholders.

Nice to have:

• Knowledge of digital advertising platforms (Google Ads, DV360, Meta, Amazon, etc.) and campaign performance metrics;
• Exposure to clean rooms (Google Ads Data Hub, Amazon Marketing Cloud);
• Familiarity with industry and syndicated data sources (Nielsen, Kantar etc);
• Experience with optimisation techniques (budget allocation, constrained optimisation);
• Familiarity with gen AI (ChatGPT APIs/agents, prompt engineering, RAG, vector databases). 

Educational requirements:

• Bachelor’s degree in Computer Science, Information Systems, or a related discipline is preferred. A Master's degree or higher is a distinct advantage.

What impact you’ll make 

• Build and validate marketing measurement models (e.g., MMM, attribution) to understand the impact of media spend on business outcomes;
• Develop and maintain data pipelines and transformations to prepare campaign, performance, and contextual data for modelling;
• Run exploratory analyses to uncover trends, correlations, and drivers of campaign performance;
• Support the design of budget optimisation and scenario planning tools;
• Collaborate with engineers, analysts, and planners to operationalise models into workflows and dashboards;
• Translate model outputs into clear, actionable recommendations for client and internal teams.

What you’ll get 

Regardless of your position or role, we have a wide array of benefits in place, including flexible working (hybrid/remote models) and generous time off policies (unlimited vacations, sick and parental leaves) to make it easier for all people to thrive and succeed at Star. On top of that, we offer an extensive reward and compensation package, intellectually and creatively stimulating space, health insurance and unique travel opportunities.

Your holistic well-being is central at Star. You'll join a warm and vibrant multinational environment filled with impactful projects, career development opportunities, mentorship and training programs, fun sports activities, workshops, networking and outdoor meet-ups.
 

Join Burny Games — a Ukrainian company that creates mobile puzzle games. Our mission is to create top-notch innovative games to challenge players’ minds daily.

What makes us proud?

• In just two years, we’ve launched two successful mobile games worldwide: Playdoku and Colorwood Sort. We have paused some projects to focus on making our games better and helping our team improve.
• Our games have been enjoyed by over 45 million players worldwide, and we keep attracting more players.
• We’ve created a culture where we make decisions based on data, which helps us grow every month.
• We believe in keeping things simple, focusing on creativity, and always searching for new and effective solutions.

What are you working on?

• Genres: Puzzle, Casual
• Platforms: Mobile, iOS, Android, Social

Team size and structure?

130+ employees

Key Responsibilities:

• Build and maintain ML for product and marketing teams
• Develop predictive systems for personalization, recommendations, and dynamic game content
• Automate data workflows and create reliable, scalable ML pipelines from feature engineering to deployment
• Monitor model performance, detect drift, and ensure ongoing accuracy and stability of ML systems
• Partner with Product, Marketing, and Engineering to integrate ML solutions into live games and operational workflows
• Own DS/ML projects end-to-end: from defining the problem to production deployment and iteration
• Share knowledge, conduct code reviews, and promote best practices across the data team

About You:

• 4+ years of experience in Data Science or ML, with a track record of delivering production models (2+ years in gamedev or consumer apps businesses)
• Strong background in statistical modeling, forecasting, and machine learning
• Advanced programming skills in Python or R (pandas, numpy, scikit-learn, PyTorch/TensorFlow or tidyverse, caret, mlr), writing clean and maintainable code
• Excellent SQL skills, confident with large-scale datasets and cloud data warehouses (BigQuery, Snowflake, Redshift)
• Experience deploying, monitoring, and maintaining ML models in production environments
• Strong problem-solving mindset, able to translate business and product goals into ML solutions
• Clear communicator who can explain complex models and systems to both technical and non-technical teams
• Passion for gaming and curiosity about player behavior

Will Be a Plus:

• Experience building user-level LTV forecasting models
• Background in recommender systems, personalization, or contextual bandits
• Familiarity with MLOps practices and tools
• Experience with ETL/orchestration frameworks (dbt, Dataform, Airflow)
• We run on GCP — experience with BigQuery, Vertex AI, Pub/Sub, and Cloud Run/Functions

What we offer:

• 100% payment of vacations and sick leave [20 days vacation, 22 days sick leave], medical insurance.
• A team of the best professionals in the games industry.
• Flexible schedule [start of work from 8 to 11, 8 hours/day].
• L&D center with courses.
• Self-learning library, access to paid courses.
• Stable payments.

The recruitment process:

CV review → Interview with TA manager → Interview with Head of Analytics → Final Enterview → Job offer

If you share our goals and values and are eager to join a team of dedicated professionals, we invite you to take the next step.

Remote – Full-time – Flexible Hours - Shifted schedule to EST (New York) timezone

About TenViz

TenViz Predictive Analytics builds AI-powered solutions that help Fortune 100 investors anticipate market shifts before they become consensus. We combine financial expertise, mathematical rigor, and AI research to deliver predictive analytics for institutional investors.

Your Expertise

• Strong interest in quantitative and algorithmic approaches
• BSc/MSc in Math, Physics or related field with solid background in statistics, linear algebra and probability theory
• 2+ years in data research, quantitative modeling, ML prototyping, and backtesting
• Skilled in Python, SQL, Git
• Experience with  experiment tracking, pipeline orchestration and workflow automation

Nice to have:

• Bayesian inference, reinforcement learning, or ensemble methods
• Financial econometrics, time-series forecasting, or regime modeling

What You’ll Do

• Design predictive models using probabilistic, ML, and hybrid approaches
• Analyze large-scale financial datasets to detect hidden patterns and early regime shifts
• Prototype and evaluate algorithms, from deep learning to Bayesian models
• Write production-grade research code in Python/SQL that integrates into pipelines
• Translate results into insights and themes investors can act on — not just outputs

Example projects:

• Forecasting inflation via commodity price signals
• Constructing probabilistic forecasts of currency moves around macroeconomic announcements
• Designing a Bayesian model to estimate recession probabilities from yield curve dynamics
• Designing a regime-aware ML pipeline that switches models depending on market conditions
• Creating hybrid ensembles that outperform traditional benchmarks

What’s in It for You

• Remote-first, flexible hours
• Paid vacation & holidays (after 8 months)
• Continuous learning: advanced ML/DL workshops, probabilistic methods, optimization
• Supportive, collaborative team — no micromanagement, focus on trust and creativity
• Work on real financial problems where your models influence billion-dollar decisions

Welcome to King Group - a place where the best people from the IT and gambling industries meet to do amazing things together. We operate numerous projects in the iGaming sector in the markets of Ukraine, Europe and the USA, invest in venture startups, promising ideas and people.
 

One of our companies is a game studio that deals with the full cycle of iGaming product development. From idea to release, we combine creativity, modern technologies and deep analytics to create a unique gaming experience. Our mission is to excite, inspire and shape the future of the industry.

Our company is looking for a math expert who has a drive and passion (perhaps some experience) for games.

Key skills (it's not necessary to have all key skills, but more is better than less):

• Higher education in mathematics or related fields (related to research, analytics or data processing);
• Have a strong math background (especially probability theory, statistics, combinatorics);
• Advanced knowledge of MS Excel (statistical, mathematical functions);
• Be proficient at one (at least) programming language (Python is preferable);
• Knowledge of one of the CAS (Mathematica, Mathcad, Maxima);
• Have a strong math background (especially probability theory, statistics, combinatorics);
• Have previous experience in gaming industry or (and) have experience in playing slots (or any other probabilistic games (poker, blackjack, etc));
• Understand the time and memory complexity of your code;
• Be keen on details (Yes, it's really important at this position);
• Understanding OOP Concepts;
• Experience in developing mathematical models.
   

Nice to have:

• Experience in using git;
• Experience in using JIRA.
   

Responsibilities: 

• Prepare math for slot games;
• Discuss with business/ propose new game ideas/new feature ides;
• Implement game logic of new features, games;
• Gather games' statistics by precise calculations / running simulations of the games;
• Make games attractive for players from the math side.
   

Why we:

• Social Package;
• Medical care;
• Sick Days;
• Professional development support;
• Family-like atmosphere. You can check it out yourself ;)
• Great career prospects.
  
  Do you want to grow with us? Do you have the desire to take an active part in creating a product? Send your resume and let's get to know each other ;)

We are looking for a senior data scientist to lead the development and implementation of next-generation AI solutions for life-cycle marketing.

As a senior member of our team, you will shape methodology, manage product direction in uncertainty and represent the Company in conversations with high-stakes customers. You'll combine deep experience in causal inference, reinforcement learning, and experiments with strong communication skills to impact the entire company and our customers.

About Us

The company was founded in 2020 on the premise that market fundamentals move companies around the world from all-cost growth strategies to efficient and responsible growth practices, focusing on improving divisional economies. With a bold mission to use AI to rethink the whole process of growth, optimize this transition and ensure its sustainability, removes guesses about creating value for customers by providing leaders with actionable strategies and tactics to acquire, nurture and retain high-value customers, their businesses are really needed, with actions and time that would be most effective in achieving their goals.

Leading companies such as Miro, Rappi and Moneylion rely on us to effectively apply these predictions. They use our product to attract high-value customers on platforms such as Google and Meta, optimize incentives with Salesforce and Braze, and perfectly increase time, leading to a 20%-40% increase in ROI.

The company is well supported by leading venture capitalists such as Target Global and SquarePeg. The company has tripled annually over the past two years and now boasts a team of 70 people with offices in California, New York and Tel Aviv.

Requirements

• M.Sc. or Ph.D. in Computer Science, Statistics, Mathematics, or related field.
• 6+ years of hands-on data science experience, including direct work with lifecycle marketing, personalization, or customer analytics.
• Advanced expertise in statistics, causal inference, and experimental design.
• Proven track record of implementing reinforcement learning / multi-armed bandit models in production.
• Strong software engineering skills in Python, SQL, and ML frameworks
• Exceptional communication skills — able to influence internal teams and present to executive-level customers.
• Entrepreneurial mindset: thrives in uncertainty, challenges assumptions, and pushes for impactful solutions.