Remote Senior Data Scientist

Responsibilities

• Analyze complex, large-scale datasets (structured and unstructured) to provide business insights and actionable recommendations.
• Design and optimize queries for performance across SQL-based data platforms (MySQL, PostgreSQL, etc.).
• Build dashboards, reports, and data pipelines to track business metrics and support decision-making.
• Work cross-functionally with product managers, engineers, and operations teams to define data needs and deliver insights.
• Lead statistical analysis and experiments (e.g., A/B testing, hypothesis testing, PCA, time series analysis) to validate business strategies.
• Support model deployment and performance monitoring, in collaboration with ML engineers where needed.

Qualifications

• Bachelor’s or Master’s degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Electrical Engineering).
• 5+ years of experience as a Data Scientist.
• Strong proficiency in SQL, including performance tuning and query optimization.
• Solid programming skills in Python or R, with experience in Pandas, NumPy, Scikit-learn, or similar.
• Experience with data visualization tools (e.g., Power BI, Tableau, or R Shiny).
• Strong grasp of statistics, data modeling, and hypothesis testing.
• Clear and effective communication skills in English (both written and verbal), especially for remote, async work.
• Experience with relational databases (MySQL, PostgreSQL) and document databases (MongoDB, etc.).
• Excellent communication skills in English, both written and verbal.

Nice to have

• Experience with NLP, OCR, or computer vision use cases.
• Exposure to AWS SageMaker, Docker, or other ML deployment tools.
• Familiarity with agile development, JIRA, Git, and remote collaboration tools.
• Business domain experience in finance, e-commerce, or gaming analytics.