Senior I Data Scientist
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Established in 1997, Softeq was built from the ground up to specialize in new product development and R&D, tackling the most difficult problems in the tech sphere. Now we've expanded to offer early-stage innovation and ideation plus digital transformation business consulting. Our superpower is to deliver all of this under one roof on a global scale. So let's get started and build a better future together
What the role does here
- Explores operational and financial data, frames hypotheses and tests them;
- Builds predictive and analytical models: delays and durations, congestion, cost, plan-versus-actual variance;
- Engineers features over the curated data layers and documents their meaning and provenance;
- Works with historical data states so that a training sample reflects what was known at the time of the event rather than what is known now;
- Prepares the inputs behind analytics products: KPI dashboards, user activity analytics, executive summaries, trend analysis;
- Aligns metric and calculation definitions with the semantic layer so figures agree across reports, APIs and interfaces;
- Validates results with business stakeholders and produces model documentation.
Must have
- Analytical Python: pandas, scikit-learn, statistical libraries, clear visualization;
- Spark SQL and PySpark, confident work on large tables, window functions, and an understanding of distributed execution;
- Databricks as a working environment: notebooks, jobs, experiment tracking, catalog and data permissions, table versions and time travel;
- Understanding of the medallion model and which layer is the correct source for a given analysis;
- Statistics and time-series methods, sound experiment design, baselines and honest quality metrics;
- Experience with raw data from enterprise systems of record: gaps, duplicates, retroactive corrections, inconsistent reference data;
- Ability to explain and defend a result to a non-technical stakeholder.
Nice to have
- Storing features in the catalog and handing them to the production path;
- Transportation, logistics or supply chain;
- Geospatial analysis and route data;
- Experience handing a model over to an ML engineer for production.
Softeq communicates only from @ softeq.com email addresses. We never request payments or fees for any reason during hiring — including trainings or courses to be completed, equipment, onboarding, or background checks — and we will not ask for banking information, cryptocurrency or gift cards. If you receive a message from any other domain or requesting payment, do not respond and report it to abuse@softeq.com
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