Data Scientist

📋 Description

• Design, build, and deploy production-grade ML models and analytics.
• Apply a broad range of statistical methods and ML algorithms with sound judgment.
• Write performant, well-documented code in Python and SQL.
• Collaborate with product managers, stakeholders, and engineering to deliver milestones.
• Balance model performance, interpretability, and cost.
• Identify data quality issues and improve DS workflows and model reliability.

🎯 Requirements

• 3+ years of data science experience; degree not required if equivalent.
• Strong Python proficiency for statistical programming and ML development.
• Expert SQL queries and working with large-scale datasets.
• Solid understanding of statistics and ML algorithms.
• End-to-end model development from problem definition through production.
• Pragmatic solutions that meet business constraints and are maintainable.

🎁 Benefits

• Experience with MLOps, model monitoring, or automated reporting pipelines.
• Familiarity with experimental design and A/B testing frameworks.
• Track record of improving workflows, data documentation practices, or analytical infrastructure.
• Experience mentoring junior data scientists or onboarding programs.
• Distributed computing and big data technologies such as Apache Spark.
• Cloud data warehouses like Amazon Redshift or Google BigQuery.