Senior Data Scientist

About Entrada AI

Entrada AI is a specialized consulting partner and a strategic portfolio company of Databricks Ventures. We were recently named the Genie Partner of the Year (2026) for our work deploying Databricks Genie at enterprise scale—bridging the gap between AI ambition and the trusted, governed data required for accurate responses. With over 150 Databricks projects delivered, we unlock self-service analytics for Fortune 500 leaders.

Databricks invested in us because of our technical excellence, placing us in the "inner circle" of the ecosystem. For our engineers, this means direct access to product roadmaps, private previews, and the teams building the platform. You will join a team of industry veterans who value clean architecture over quick fixes. We don't just maintain pipelines; we solve complex architectural challenges.

Key Responsibilities

• Analyze large, complex datasets to identify trends, patterns, and insights that can drive business decisions.

• Develop and deploy predictive models and machine learning algorithms to solve business problems such as customer segmentation, demand forecasting, and recommendation systems.

• Collaborate with data engineers to ensure data quality, availability, and integrity for analysis and modeling.

• Communicate findings and insights to stakeholders through data visualizations, reports, and presentations.

• Experiment with and evaluate new data science techniques, tools, and methodologies to enhance our analytics capabilities.

• Work closely with product teams to integrate data science models into production systems and applications.

• Stay current with the latest trends and advancements in data science, machine learning, and AI, and apply them to improve existing processes and models.

Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field; PhD is a plus.

• 4+ years of experience in data science, with a strong background in statistical analysis, machine learning, and data mining.

• 2+ years of experience with Databricks

• Proficiency in programming languages such as Python or R, and experience with data science libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch).

• Strong analytical and problem-solving skills, with the ability to work with complex and unstructured data.

• Experience with data visualization tools (e.g., Tableau, Power BI) and the ability to communicate insights effectively to non-technical stakeholders.

• Familiarity with SQL and experience working with relational databases.

• Excellent communication and collaboration skills, with a focus on delivering value to the business.

The Offer

Cooperation Models:

Poland: Available via Employment Contract (UoP) or B2B.

Romania/ Greece: Available via B2B only.

• 100% Remote: Full flexibility to work from anywhere in Poland/ Romania / Greece

• High-End Tech: Apple MacBook Air M4 15" provided to all engineers.

• Referral Bonus: Bonus for bringing other top-tier engineers to the team.

• Professional Growth:

  • Certification Support: Coverage for all Databricks technical certifications.

  • Industry Leadership: Support in reaching the highest tiers of Databricks expertise (such as the Champion program) tailored to your specific career track.

  • Personal Branding: Opportunities to present at global industry conferences and contribute to technical thought leadership.

  • Expert Mentorship: Direct collaboration with Databricks MVPs and core product teams, giving you a front-row seat to the platform's evolution.

Recruitment Process

• Introductory Call (20 min): Short conversation with our Recruiter to discuss your background and expectations.

• Technical Interview (60 min): Deep dive into your technical skills with our engineering team.

• Optional Client Interview: Required only in specific cases.

• Decision & Offer: We aim to close the process and provide feedback efficiently.