CrawlJobs Logo
Valtech Logo Valtech · IT - Software Development

Senior Data Scientist

Ukraine · Job Posted June 15, 2026
Apply Position
Job Link Share

Job Responsibility

  • Develop and deploy machine learning models across use cases (forecasting, optimization, recommendation systems)
  • Apply statistical, predictive, and prescriptive modeling techniques to solve business problems
  • Build reusable modeling frameworks that can scale across multiple domains
  • Design and implement causal inference methods (e.g., uplift modeling, experiments, quasi-experimental methods)
  • Translate observational and experimental data into actionable business insights
  • Embed causal reasoning into decision systems that guide actions (e.g., optimization, prioritization, trade-offs)
  • Integrate GenAI capabilities (e.g., LLMs, RAG pipelines, agent-based systems) into data science workflows
  • Contribute to the development of intelligent agents and AI-assisted decision-making systems
  • Combine structured data models with unstructured data and GenAI outputs
  • Build forecasting models (time-series, probabilistic, causal) to support planning and operations
  • Develop optimization approaches for resource allocation, scheduling, or campaign performance
  • Ensure models are explainable and actionable in business contexts
  • Build and maintain production-grade data science solutions
  • Collaborate with engineering teams to integrate models into scalable APIs and platforms
  • Ensure robustness, monitoring, and lifecycle management of deployed models
  • Partner with data engineering, analytics, and product teams to ensure data readiness and solution adoption
  • Review and validate modeling approaches across teams (forecasting, experimentation, ML)
  • Contribute to best practices in AI, ML, and data science within the organization

Requirements

  • Strong experience in machine learning, statistics, and applied data science
  • Experience with causal inference, experimentation, or decision science methodologies
  • Solid understanding of forecasting, optimization, or analytical modeling techniques
  • Strong programming skills in Python and SQL
  • Experience building and deploying production-ready data science or ML systems
  • Familiarity with model lifecycle management (training, deployment, monitoring)
  • Hands-on experience with at least one major cloud platform: Azure (preferred), AWS, or GCP
  • Experience working with modern data and AI platforms (e.g., Azure ML / Azure AI, Databricks, or similar ecosystems)
  • Experience working with complex, multi-source datasets (e.g., transactional, behavioral, operational data)
  • Ability to translate business problems into analytical frameworks
  • Strong problem-solving skills with focus on business impact
  • Ability to translate complex models into actionable decisions
  • Strong collaboration and communication skills across technical and business teams

Nice to have

  • Deep experience in marketing analytics, attribution, or campaign measurement
  • Uplift modeling, geo experiments, synthetic control
  • Marketing Mix Modeling (MMM)
  • Experience with GenAI frameworks (e.g., LangChain, LangGraph, RAG architectures, agent frameworks)
  • Familiarity with data engineering tools (e.g., Spark, Airflow, dbt)
  • Experience with platforms such as Snowflake, Fabric, or BigQuery
  • Exposure to advanced time-series methods and probabilistic forecasting
  • Experience working in Agile, product-led, or consulting environments

What we offer

  • Medical insurance
  • Sports reimbursement budget
  • Home office support
  • A number of free psychological and legal consultations
  • Maternity and paternity leave support
  • Internal workshops and learning initiatives
  • English language classes compensation
  • Professional certifications reimbursement
  • Participation in professional local and global communities
  • Growth Framework to manage expectations and define the steps to move towards the selected career
  • Mentoring program with the ability to become a mentor or a mentee to grow to a higher position
  • Progressive benefits packages in place — the longer you stay with the company — the more benefits you get
Valtech - All Job Offers

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Suggested Tags: Frontend Developer Secretary Talent Manager Salesforce Administrator Data Analyst
Similar Jobs for

Senior Data Scientist

8 matching positions

New

Senior Data Scientist

We are looking for an experienced Senior Data Scientist to drive advanced analyt...
Location
Location
Poland
Salary
Salary:
Not provided
valtech.com Logo
Valtech
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong experience in machine learning, statistics, and applied data science
  • Experience with causal inference, experimentation, or decision science methodologies
  • Solid understanding of forecasting, optimization, or analytical modeling techniques
  • Strong programming skills in Python and SQL
  • Experience building and deploying production-ready data science or ML systems
  • Familiarity with model lifecycle management (training, deployment, monitoring)
  • Hands-on experience with at least one major cloud platform: Azure (preferred), AWS, or GCP
  • Experience working with modern data and AI platforms (e.g., Azure ML / Azure AI, Databricks, or similar ecosystems)
  • Experience working with complex, multi-source datasets (e.g., transactional, behavioral, operational data)
  • Ability to translate business problems into analytical frameworks
Job Responsibility
Job Responsibility
  • Develop and deploy machine learning models across use cases (forecasting, optimization, recommendation systems)
  • Apply statistical, predictive, and prescriptive modeling techniques to solve business problems
  • Build reusable modeling frameworks that can scale across multiple domains
  • Design and implement causal inference methods (e.g., uplift modeling, experiments, quasi-experimental methods)
  • Translate observational and experimental data into actionable business insights
  • Embed causal reasoning into decision systems that guide actions (e.g., optimization, prioritization, trade-offs)
  • Integrate GenAI capabilities (e.g., LLMs, RAG pipelines, agent-based systems) into data science workflows
  • Contribute to the development of intelligent agents and AI-assisted decision-making systems
  • Combine structured data models with unstructured data and GenAI outputs
  • Build forecasting models (time-series, probabilistic, causal) to support planning and operations
What we offer
What we offer
  • 24 working days of paid vacation
  • National holidays covered
  • Sick leave (up to 20/year)
  • Unpaid leave (up to 20/year)
  • Medical insurance
  • Multisport card OR Multikafeteria
  • Maternity & paternity leave support
  • Internal workshops & learning initiatives
  • Professional certifications reimbursement
  • Participation in professional local & global communities
  • Fulltime
Read More
Arrow Right
New

Senior Data Scientist

We are looking for an experienced Senior Data Scientist to drive advanced analyt...
Location
Location
Portugal , Lisbon
Salary
Salary:
Not provided
valtech.com Logo
Valtech
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong experience in machine learning, statistics, and applied data science
  • Experience with causal inference, experimentation, or decision science methodologies
  • Solid understanding of forecasting, optimization, or analytical modeling techniques
  • Strong programming skills in Python and SQL
  • Experience building and deploying production-ready data science or ML systems
  • Familiarity with model lifecycle management (training, deployment, monitoring)
  • Hands-on experience with at least one major cloud platform: Azure (preferred), AWS, or GCP
  • Experience working with modern data and AI platforms (e.g., Azure ML / Azure AI, Databricks, or similar ecosystems)
  • Experience working with complex, multi-source datasets (e.g., transactional, behavioral, operational data)
  • Ability to translate business problems into analytical frameworks
Job Responsibility
Job Responsibility
  • Develop and deploy machine learning models across use cases (forecasting, optimization, recommendation systems)
  • Apply statistical, predictive, and prescriptive modeling techniques to solve business problems
  • Build reusable modeling frameworks that can scale across multiple domains
  • Design and implement causal inference methods (e.g., uplift modeling, experiments, quasi-experimental methods)
  • Translate observational and experimental data into actionable business insights
  • Embed causal reasoning into decision systems that guide actions (e.g., optimization, prioritization, trade-offs)
  • Integrate GenAI capabilities (e.g., LLMs, RAG pipelines, agent-based systems) into data science workflows
  • Contribute to the development of intelligent agents and AI-assisted decision-making systems
  • Combine structured data models with unstructured data and GenAI outputs
  • Build forecasting models (time-series, probabilistic, causal) to support planning and operations
What we offer
What we offer
  • Flexibility, with remote and hybrid work options (country-dependent)
  • Career advancement, with international mobility and professional development programs
  • Learning and development, with access to cutting-edge tools, training and industry experts
  • Fulltime
Read More
Arrow Right
New

Senior Data Scientist

We are looking for an experienced Senior Data Scientist to drive advanced analyt...
Location
Location
Bulgaria , Sofia
Salary
Salary:
Not provided
valtech.com Logo
Valtech
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong experience in machine learning, statistics, and applied data science
  • Experience with causal inference, experimentation, or decision science methodologies
  • Solid understanding of forecasting, optimization, or analytical modeling techniques
  • Strong programming skills in Python and SQL
  • Experience building and deploying production-ready data science or ML systems
  • Familiarity with model lifecycle management (training, deployment, monitoring)
  • Hands-on experience with at least one major cloud platform: Azure (preferred), AWS, or GCP
  • Experience working with modern data and AI platforms (e.g., Azure ML / Azure AI, Databricks, or similar ecosystems)
  • Experience working with complex, multi-source datasets (e.g., transactional, behavioral, operational data)
  • Ability to translate business problems into analytical frameworks
Job Responsibility
Job Responsibility
  • Develop and deploy machine learning models across use cases (forecasting, optimization, recommendation systems)
  • Apply statistical, predictive, and prescriptive modeling techniques to solve business problems
  • Build reusable modeling frameworks that can scale across multiple domains
  • Design and implement causal inference methods (e.g., uplift modeling, experiments, quasi-experimental methods)
  • Translate observational and experimental data into actionable business insights
  • Embed causal reasoning into decision systems that guide actions (e.g., optimization, prioritization, trade-offs)
  • Integrate GenAI capabilities (e.g., LLMs, RAG pipelines, agent-based systems) into data science workflows
  • Contribute to the development of intelligent agents and AI-assisted decision-making systems
  • Combine structured data models with unstructured data and GenAI outputs
  • Build forecasting models (time-series, probabilistic, causal) to support planning and operations
What we offer
What we offer
  • Flexibility, with hybrid work options and 25 vacation days for a healthy work-life balance
  • Co-subsidized transportation & Multisport cards
  • Premium health insurance for fast and easy access to top healthcare services
  • Training policy for technical and other skills-related events, courses and certifications
  • Personal career development roadmap guided by performance evaluations
  • Self-care program offering psychological consultations & discussions for you and the team
  • Cozy office space designed for comfort and productivity
  • Exciting team events and company gatherings
  • Fulltime
Read More
Arrow Right
New

Senior Data Scientist

Do you enjoy solving problems, looking at problems through a different lens, and...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • 2+ years customer-facing, project-delivery experience, professional services, and/or consulting experience
Job Responsibility
Job Responsibility
  • Acquire the data necessary for your project plan and develop usable data sets for modeling
  • Update internal best practices for data collection and preparation, and contribute to data integrity conversations with customers
  • Evaluate your team's models and recommend improvements as necessary, drive best practices for models, and develop operational models that run at scale
  • Conduct thorough reviews of data analysis and modeling techniques, and identify and invent new evaluation methods
  • Research and maintain a deep knowledge of the industry, including trends and technologies
  • Write extensible code that spans multiple features, and develop expertise in proper debugging techniques
  • Define business, customer, and solution strategy goals, and partner with other teams to identify and explore new opportunities
  • Embody our culture and values
  • Fulltime
Read More
Arrow Right

Senior Data Scientist

We are seeking an exceptional Data Scientist to join our dynamic Data Science te...
Location
Location
India , Gurgaon
Salary
Salary:
Not provided
https://www.baxter.com/ Logo
Baxter
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Minimum 8+ years of progressive experience in AI/Data Science
  • At least 5+ years of hands-on experience in building AI/ML models for Financial domain
  • Proven track record of design and delivering production-grade AI/ML projects in enterprise environments for finance
  • Experience working with large-scale financial transactional datasets and ERP systems (SAP, Oracle, Workday etc)
  • Demonstrated success in cross-functional collaboration with Finance, IT, and Business teams
  • Hands-on experience in designing and deploying forecasting (Statistical and ML based) applied to financial metrics
  • Proven experience in designing and deploying production-ready solutions powered by Large Language Models (LLMs)
  • Experience in enterprise grade implementation of cutting edge Agentic AI solution
  • Programming Languages: Python (NumPy, Pandas, Scikit-learn), SQL (advanced proficiency required)
  • Machine Learning: Regression, Classification, Forecasting, Clustering, Ensemble Methods
Job Responsibility
Job Responsibility
  • Design, develop, and deploy advanced machine learning models to forecast key business KPIs including expense allocation and cash flow management
  • Build automated business process optimization model and reporting systems using AI
  • Design variance analysis frameworks to identify key drivers of financial performance
  • Conduct scenario analysis and sensitivity modelling for strategic initiatives
  • Present findings and recommendations to senior leadership and stakeholders
  • Establish data quality standards and governance frameworks for financial analytics
  • Drive innovation by evaluating and implementing emerging AI/data science technologies
What we offer
What we offer
  • Paid Time Off
  • Employee Heath & Well-Being Benefits
  • Continuing Education/ Professional Development
  • Support for Parents
  • Employee Assistance Program
  • Competitive salary package commensurate with experience and market standards
  • Comprehensive health insurance coverage for self and dependents
  • Clear career progression path with regular performance reviews
  • Mentorship from senior leaders and exposure to global projects
  • Collaborative and inclusive culture that values innovation and diversity
  • Fulltime
Read More
Arrow Right

Senior Data Scientist

We are seeking an experienced Senior Data Scientist to design, develop, and depl...
Location
Location
India , Hyderabad
Salary
Salary:
Not provided
yash.com Logo
YASH TECHNOLOGIES CONSULTING INC.
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong foundation in Mathematics, Statistics, and Machine Learning theory
  • Proficiency in Python and ML frameworks (scikit-learn, TensorFlow, PyTorch, Hugging Face)
  • Proven expertise in NLP, Computer Vision, or Generative AI (Transformers, RAG, LLMs, CNNs, Vision Transformers)
  • Hands-on experience with Big Data technologies (Spark, Hadoop, Kafka, Hive)
  • Strong knowledge of SQL and building data pipelines
  • Experience with cloud platforms (Azure ML, AWS SageMaker, or GCP AI Platform)
  • Hands-on experience with web/backend integration (REST APIs, Django, FastAPI, Spring Boot)
  • Understanding of MLOps (CI/CD, Docker, Kubernetes, model monitoring)
  • Bachelor’s/Master’s/PhD in Computer Science, Statistics, Mathematics, Data Science, or related field
  • 4–7 years of experience in Data Science/AI with proven delivery of projects at scale in production environments
Job Responsibility
Job Responsibility
  • Design and implement advanced machine learning, deep learning, and AI models across domains such as NLP, computer vision, recommendation systems, and generative AI
  • Develop data strategies including preprocessing, feature engineering, and scalable data pipelines
  • Apply MLOps best practices for model development, deployment, and monitoring
  • Collaborate with stakeholders to understand business problems and define data-driven solutions
  • Stay current with the latest advancements in AI/ML and evaluate their potential applications
  • Ensure models are explainable, ethical, and compliant with regulatory requirements
Read More
Arrow Right
New

Senior Data Scientist

The Bing organization is looking for a senior data and applied scientist. The te...
Location
Location
United States , Redmond
Salary
Salary:
119800.00 - 234700.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience
  • Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience
  • Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience
  • OR equivalent experience
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience
  • Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience
  • Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience
  • OR equivalent experience
  • Experience with SQL-like query languages
  • Hands on experience in design & problem-solving skills with one or more programming languages, such as Python, Java, C# or C++
Job Responsibility
Job Responsibility
  • Develop highly accurate forecast models powering insights for business and product risks and opportunities
  • Drive impact analysis for features critical to agile course correction and business investments
  • Define and track key org level success metrics for impact and drive reliable process to track contribution from individual feature initiatives across the product lifecycle against set goals
  • Define, build and track success metrics for Bing customer satisfaction and retention. Develop strategies for understanding correlation between set of key Bing metrics and define overall ship decision criteria
  • Perform hands-on analysis of large-scale telemetry data using advanced statistical methods, algorithms, and data tools to uncover meaningful patterns and trends
  • Develop tools to help analyze the movement of the metrics to help feature teams to understand why their changes impact the metrics
  • Fulltime
Read More
Arrow Right
New

Senior Data Scientist

You will join a team of data scientists developing the next generation of Genius...
Location
Location
United Kingdom , London
Salary
Salary:
Not provided
geniussports.com Logo
Genius Sports
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • A BSc, MSc or PhD in Data Science, Mathematics, Computer Science, Computational Statistics, Machine Learning or other STEM subject
  • Expert understanding of probability and statistics fundamentals
  • Proficiency with Python or other scripting/programming languages (R, Matlab, etc)
  • Expertise in a broad range of data science / machine learning algorithms (Monte Carlo simulation, neural networks, logistic regression, random forest, etc.) with a proven track record of delivering solutions to complex problems
  • Ability to bring clarity to complex domains, rapidly developing a deep understanding and challenging unclear requirements
  • Mentoring of other team members, helping them develop their skills and deliver effectively
  • Curiosity and strong desire to learn and improve
  • Social skills, being able to act as a facilitator, can balance enabling others with individual contributions
  • Time management and asynchronous communication skills relevant for a geographically diverse engineering organization
  • Enthusiasm and ability to work collaboratively within a team
Job Responsibility
Job Responsibility
  • Join a team of data scientists developing the next generation of Genius Sports’ market leading sports models
  • Prototype, implement, evaluate and optimize algorithms to calculate the probabilities of sporting outcomes
  • Play a major role in developing and implementing predictive models across all major sporting codes
  • Join a specially formed, highly skilled team delivering an innovative & intelligent product
  • Form part of a multi-disciplinary Agile team of Software Engineers, Data Scientists, QA Engineers and a Product Manager
  • Work closely to the fundamental principles of continuous delivery and empowered, high-performing teams
  • Operate in a squad model to allow focus on the business top priorities
  • Collaborate with high calibre engineers and deliver smart solutions with an autonomous & performance focused approach
What we offer
What we offer
  • Competitive salary and range of benefits
  • Committed to supporting employee wellbeing and helping you grow your skills, experience and career
  • Fulltime
Read More
Arrow Right