> Markdown version of [/jobs/ext/3844322-senior-data-scientist-operations-m-f-n](https://www.wearedevelopers.com/jobs/ext/3844322-senior-data-scientist-operations-m-f-n). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # (Senior) Data Scientist - Operations (m/f/n) - **Company:** INPOST INC - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Big Data, Cluster Analysis, Data Systems, Python (Programming Language), Linear Programming, Routing, Google Cloud, Snowflake, Pyspark, Scikit Learn, Optimization Algorithms, Machine Learning Operations, Databricks - **Published:** October 20, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/o567gqy6u7 ## About the Role We don't expect you to tick every box - but you should feel comfortable with complex problem-solving and working with messy real-world systems. Must have: * :3+ years in Data Science / ML roles * Strong Python skills and experience with data/ML libraries * Experience working with large-scale datasets * Solid understanding of ML methods (regression, clustering, forecasting, etc.) * Ability to translate business problems into data solutions You'll stand out if you: * Have worked on optimization problems (routing, scheduling, operations research) * Know graph-based approaches or network problems * Have built models that are used in production at scale * Have experience with PySpark / cloud (Databricks, GCP, AWS, Snowflake) * Have experience with ML Ops / CI/CD pipelines * Are familiar with optimization techniques (linear programming, heuristics) * Are familiar with Kedro or similar frameworks ## Description Your work will include: * Designing routing and allocation algorithms for parcel delivery * Solving large-scale optimization problems (vehicles, routes, constraints, costs) * Applying graph-based methods, clustering, regression and forecasting * Building models that directly impact delivery speed, cost efficiency and customer experience * Shipping solutions into production - not just experiments