Senior Data Scientist

What you'll do

• Design and build predictive customer behavior models for targeting and personalization
• Implement ML or statistics-based algorithms for prediction and optimization and deliver trained models to production
• Take end-to-end ownership: design, build, ship, measure, and maintain models and services using AI-assisted “vibe coding” workflows
• Build evaluation harnesses, automated testing frameworks, benchmarks, and guardrails for safe and repeatable AI/ML system deployment
• Present findings to product and technical team leads clearly and actionably
• Build and maintain code to populate HDFS, Hadoop with logs from Kafka or data loaded from SQL production systems
• Design, build and support algorithms for data transformation, conversion, computation on Hadoop, Spark and other distributed Big Data systems

Requirements

• Master’s degree or Ph.D, ideally in Computer Science, Electrical Engineering, Physics, Computational Economics, or similar
• 5+ years of hands-on experience in Python and Java
• Proficiency with ML frameworks (e.g., PyTorch, Tensorflow, Spark MLlib)
• SQL proficiency for data exploration and analysis
• System-architecture mindset — ability to design scalable, reliable, high-performance systems and reason about how a model fits into the larger data and serving infrastructure
• Experience taking end-to-end ownership of ML systems: design, build, ship, measure, and maintain — using AI-assisted “vibe coding” tools (e.g., Cursor, Claude, GitHub Copilot)
• Experience building automated evaluation harnesses and test frameworks for ML systems — defining benchmarks, baselines, and guardrails
• Ability to communicate technical findings clearly and collaborate effectively across teams
• Bonus: Experience with recommendation systems, ranking algorithms, or personalization at scale
• Bonus: Familiarity with real-time ML and large-scale data mining

Tech stack

Benefits