Senior Data Scientist: Build Impactful Predictive Models

Softeq; Warszawa; On-site; PLN 120,000 - 190,000; Full time

Job summary

Softeq in Warsaw, Poland seeks a data analytics professional to explore operational data, build predictive models, and prepare KPI dashboards. The role emphasizes Python (pandas, scikit-learn), Spark SQL, PySpark, and Databricks, ensuring lineage and reproducibility.

You will validate results with stakeholders, document models, and collaborate across teams on data-driven decision making. Familiarity with medallion data architecture and time-series metrics is a plus.

Qualifications

• Analytical Python with pandas and scikit-learn.
• Spark SQL and PySpark for large tables.
• Databricks environment experience.
• Understanding of medallion data model and historical state handling.
• Statistics and time-series methods; solid experimental design.
• Experience with enterprise data from systems of record.
• Ability to explain results to non-technical stakeholders.

Responsibilities

• Explore operational and financial data, frame hypotheses and test them.
• Build predictive and analytical models for delays, durations, congestion, costs, and plan-versus-actual variance.
• Engineer features over curated data and document their provenance.
• Prepare inputs behind analytics products: KPI dashboards and executive summaries.
• Align metric definitions with the semantic layer across reports, APIs and interfaces.
• Validate results with business stakeholders and produce model documentation.

Skills

Python

Pandas

Scikit-learn

Spark SQL

PySpark

Databricks

Time-series

Modeling

Data visualization

Stakeholder communication

Tools

Databricks

SQL

Job description

Softeq in Warsaw, Poland seeks a data analytics professional to explore operational data, build predictive models, and prepare KPI dashboards. The role emphasizes Python (pandas, scikit-learn), Spark SQL, PySpark, and Databricks, ensuring lineage and reproducibility.

You will validate results with stakeholders, document models, and collaborate across teams on data-driven decision making. Familiarity with medallion data architecture and time-series metrics is a plus.