JR-151333 Data Scientist Senior

Job Description:

We are looking for a Senior/Lead Data Scientist to join our client's team. In this role, you will lead the design, development, and productionization of predictive and time-series models for sell-out data in the beverages domain. You will own the analytical solution end-to-end, including client discovery, prototyping, validation, deployment, and ongoing improvements.

You will work as part of a delivery team alongside a Solution Architect and a Project Manager. All analytics-related and data science technical decisions will be owned by this role.

Note: Availability to work aligned with Japan time zone.

Locations: 

• Ukraine
• Poland
• Hungary
• Bulgaria

Requirements:

Hard skills:

• Strong Python for data science and production-grade pipelines (pandas/numpy, scikit-learn; writing clean, testable code);
• Proven experience with forecasting / time-series modeling (e.g., ARIMA/SARIMA, ETS, Prophet, gradient boosting for TS, feature-based forecasting);
• Experience building predictive models end-to-end: feature engineering, model selection, hyperparameter tuning, and rigorous evaluation;
• Solid SQL and experience working with relational databases and/or data warehouses; ability to design efficient data extraction and transformations;
• Practical software engineering fundamentals: Git, code reviews, packaging, unit testing, logging, reproducibility;
• Experience communicating model outputs to non-technical stakeholders and making trade-offs explicit (accuracy vs. interpretability vs. operational complexity).

Nice-to-have

• Hands-on experience with Azure services for data and ML (e.g., Azure Machine Learning, Databricks, Synapse, Data Factory, ADLS Gen2, AKS);
• MLOps experience (MLflow, model registry, automated training/scoring pipelines, monitoring, Azure DevOps CI/CD);
• Experience with Spark / distributed processing for large-scale time-series datasets;
• Domain experience in CPG/retail forecasting (sell-out, promotions, holidays, cannibalization, assortment changes).

Soft Skills

• Strong client-facing skills: structured discovery, facilitation of requirement workshops, expectation management;
• Analytical rigor and ownership: ability to define the right problem, not just implement models;
• Clear communication: explain complex modeling choices in simple terms, produce concise documentation;
• Collaboration and reliability: work effectively with Architect and PM, unblock others, deliver on commitments;
• Ability to operate in ambiguity and iterate fast while maintaining quality standards.

Job Responsibilities:

• Lead client discovery and translate requirements into an executable modeling plan (baseline, feature set, evaluation approach, delivery milestones);
• Explore and prepare sell-out data (quality checks, missing data handling, outliers, seasonality, calendar effects);
• Build forecasting models across multiple horizons and aggregation levels (SKU x region x channel) using time-series and ML approaches;
• Design robust validation (time-series cross-validation / backtesting) and report performance with business-relevant metrics;
• Prototype a working solution quickly and iterate with stakeholders based on feedback;
• Productionize the solution on Azure (batch or API scoring): pipeline orchestration, model registry/versioning, CI/CD handover with the Architect;
• Implement monitoring and alerting (data drift, performance degradation, pipeline health) and define retraining triggers;
• Document assumptions, model behavior, limitations and operational runbooks to enable maintenance and knowledge transfer.

What We Offer:

• Competitive salary;
• 100% remote opportunity;
• Flexible work environment (in-office, remote, or hybrid depending on preferences and manager approval);
• Opportunities for professional growth and career advancement;
• Collaborative and innovative work environment;
• Paid time off, including holidays, vacation and sick leave;
• Benefits may vary by location and will be confirmed during the interview process.

Job ID: JR-151333