Senior Data Scientist

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. 

We are proud of: 

The work we do and the innovation we drive 

Our values of share, care and dare 

A workplace culture that fosters creativity, diversity and autonomy 

Our borderless, global framework, which enables seamless collaboration 

The role  

We are looking for an experienced Senior Data Scientist to drive advanced analytics, causal reasoning, and AI-powered decision intelligence across multiple use cases within our AI portfolio. This role goes beyond traditional modeling and focuses on building production-grade systems that combine predictive, causal, and generative AI capabilities to directly influence business outcomes. 

You will work at the intersection of data science, machine learning, and GenAI, turning complex data into actionable insights, automated decisions, and intelligent workflows across domains such as marketing, operations, forecasting, and optimization. 

This is not a purely retrospective analytics role. You will design and deploy systems that integrate experimentation, observational data, machine learning, and generative AI into real-time or near-real-time decision-making pipelines. 

You will collaborate closely with data engineers, ML engineers, analysts, and platform teams, contributing to shared modeling standards and cross-functional AI architecture. 

Role responsibilities

Advanced Analytics & Machine Learning 

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 

Causal Inference & Decision Intelligence 

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) 

Generative AI & Intelligent Systems 

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 

Forecasting & Optimization 

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 

Production & Platform Integration 

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 

Cross-Functional Collaboration 

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 

Must have qualifications

Data Science & Statistical Expertise 

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 

Technical Skills 

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) 

Cloud & Platform Experience (Key Requirement) 

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) 

Domain & Data Experience 

Experience working with complex, multi-source datasets (e.g., transactional, behavioral, operational data)

Ability to translate business problems into analytical frameworks 

Mindset 

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 qualifications  

Deep experience in marketing analytics, attribution, or campaign measurement

Hands-on experience with:  
- 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 

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

The benefits  

This is a Full time position based in Ukraine. 

Beyond a competitive compensation package, we offer: 

Mental and physical health:

Medical insurance 

Sports reimbursement budget 

Home office support 

A number of free psychological and legal consultations 

Maternity and paternity leave support 

Personal and professional development:

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 

Valtech Ukraine has a system of progressive benefits packages in place — the longer you stay with the company — the more benefits you get. 

Your application process

Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud!

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us.