Senior Data Scientist (Hybrid)

We are looking for a Senior Data Scientist to join the Enterprise Data Science Group - an outstanding data scientist who thrives on tackling complex problems that don’t work out-of-the-box with vibe coding, coding solutions end-to-end, and shaping how machine learning and AI drive business value at scale.

Responsibilities

Work on the full ML and GenAI lifecycle including data processing, exploratory data analysis, benchmark creation, feature engineering, diverse LLMs and agents, modeling/fine-tuning, evaluation, and more; Ensure reliable model deployment and continuous monitoring, seeing most of your projects go beyond the research phase and into production; Collaborate closely with talented colleagues including DSs, engineers, and product; Grow your skill set in predictive modeling, modern AI and DS approaches, workflow automation, combining use of unstructured and structured data, and more

Requirements

3+ years of industry experience; Significant hands-on experience with ML and the GenAI stack; Deep knowledge of the machine learning cycle (EDA, feature engineering, modeling, evaluation, etc.); Strong coding skills in Python and SQL; Experience with data and ML frameworks (sklearn, plotting libraries, spark, etc.); Experience with AI/ML in cloud production environments (AWS, GCP, Databricks, Azure, etc.); Excited to work as a team member with data scientists and engineers; BSc degree in computer science, mathematics, or other STEM fields

Nice to have

MSc degree

Benefits

flexible hybrid work; team breakfast gatherings; on-site gym; private health insurance; opportunity to regularly present your work and grow your leadership skills