Data Science Tech Lead — Hands-On, Mentoring & Strategy

Sii Poland

Województwo zachodniopomorskie

On-site

PLN 180,000 - 280,000

Full time

14 days+

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Benefits offered by this job

Profit sharing

Medical care

Centre of internal trainings

Conference support

Open management team

Job summary

Sii Poland is seeking a Technical Lead for data science who will own end-to-end technical direction, from framing client problems to sign-off on modeling approaches and production-ready delivery. The role blends leadership with hands-on coding, mentoring, and setting engineering standards across platforms like Microsoft Fabric, Palantir Foundry, and Databricks.

You will guide platform decisions, work with AI architects, and represent the team to clients, ensuring projects meet business outcomes

Qualifications

6+ years in data science with models shipped to production.
2+ years leading or mentoring other data scientists.
Hands-on Python across the standard data stack (pandas, NumPy, scikit-learn, XGBoost).
Cloud/data platform experience: Azure, AWS, GCP, Snowflake, Databricks, Palantir Foundry.
Experience leading delivery in a client-facing or consulting context.
Strong communication, able to defend methodology and explain business impact.
Fluent English and Polish; residing in Poland.

Responsibilities

Own the technical direction of data science engagements: solution design, modeling approach, validation strategy, and delivery quality.
Lead and mentor a team of data scientists — code reviews, methodology reviews, career development, and raising the bar on what 'done' means.
Stay hands-on: prototype approaches, unblock the team on hard modeling problems, and contribute production-grade Python where it matters most.
Translate client business problems into scoped, estimable data science workstreams, and push back when the problem doesn’t need a model.
Set and enforce engineering standards for the team: reproducibility, experiment tracking, testing, and documentation.
Guide platform decisions and delivery across cloud/data ecosystems — Microsoft Fabric, Palantir Foundry, Databricks, Snowflake, and native Azure/AWS/GCP services.
Work with AI Architects, data engineers, and client stakeholders to align technical decisions with business outcomes and timelines.
Represent the team in front of clients: present results, defend methodology, and manage technical expectations.