Senior Data Scientist

About the Position

Join Valtech as a Senior Data Scientist to drive advanced analytics and AI-powered decision intelligence across multiple use cases. Located in Sofia, Bulgaria, this role offers an exciting opportunity to shape the future of experience in a global, innovative company.

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

Requirements

• 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

• 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

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.

About the Company

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.