Data Science Consultant en Astra Consulting

You will join a small delivery team that works directly with client stakeholders across several industries, including construction, consumer goods, insurance, and hospitality. Projects are short and varied, so the same person usually handles the data work, the modeling, and the conversation with the client.

The team is fully remote and distributed. Work hours follow New York time (ET) with a margin of ±3 hours, which is when most client calls happen. Delivery is measured by whether the client can use what we hand over, not by hours logged, so the work depends on people who can scope a problem, ask for what they need, and flag risks before deadlines slip.

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Qualifications and requirements

• A degree in Computer Science, Engineering, Economics, Mathematics, or another quantitative field.
• 2+ years of experience in data science, analytics, or a related area.
• Demonstrable experience with Power BI, Power Query, and the Power Platform, with at least two projects where you built the solution end to end: source connections, data transformation, and reports in production.
• Experience designing AI agent pipelines that reached production.
• Working knowledge of Python for data science, including pandas, NumPy, and scikit-learn. This is assessed during the technical test.
• SQL, plus familiarity with cloud data platforms such as Databricks, Snowflake, BigQuery, Azure, AWS, or GCP.
• Experience working with messy or low quality data, including preprocessing and statistical analysis.
• Advanced professional English. This one is a hard requirement, since most client work is in English.
• The ability to organize a workload, deliver on time with minimal supervision, and give early warning when timelines are at risk.
• Honesty about what a model can and cannot do. We would rather hear the limitation early than read an overstated result.