Senior Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Collaborate with Product Managers, Engineers, and cross-functional teams to address strategic product inquiries through reporting, analysis, in-depth studies, and predictive or prescriptive modeling.

• Anticipate business results and uncover opportunities to enhance product performance.

• Establish, maintain, and refine essential product metrics, dashboards, and monitoring systems.

• Utilize machine learning methodologies to analyze customer behavior, engagement, retention, churn, propensity scoring, segmentation, recommendation systems, and personalization projects.

• Assess product launches, feature modifications, and AI-driven initiatives against success metrics and deliver recommendations.

• Assist in designing experimentation and measurement strategies, including hypothesis formulation, test outcomes, and post-launch assessments.

• Develop scalable models, reporting tools, and self-service analytics resources.

• Collaborate with data engineering and platform teams to enhance data quality, instrumentation, metric definitions, and the reliability of reporting pipelines.

• Convert complex insights into clear narratives, presentations, and recommendations.

• Contribute to AI data initiatives by aiding in model development and evaluation, measuring features, and assessing their impact on customers and the business.

⛳️ Requirements

• A bachelor's degree in a quantitative discipline such as Statistics, Economics, Mathematics, Computer Science, Engineering, or a related field.

• Over 5 years of experience in data science, product analytics, decision science, or a similar analytics position supporting product teams.

• Proficient in SQL.

• Expertise in Python for data analysis, statistical modeling, predictive modeling, and data exploration.

• Familiarity with machine learning frameworks like PyTorch and scikit-learn.

• Knowledge of feature engineering, model selection, cross-validation, hyperparameter tuning, and performance assessment.

• Experience in creating dashboards and visualizations for high-level reporting and product decision-making.

• Strong grasp of product metrics, experimentation, hypothesis testing, and statistical analysis.

• Proven experience working with large, complex, and multi-source datasets.

• Excellent communication abilities, with a talent for conveying technical findings in accessible language.

• Prior experience supporting AI or ML-related product initiatives, model evaluations, or measurement frameworks is preferred.

• An advanced degree is preferred.

• Background in media, ad tech, mar tech, digital subscriptions, marketplaces, or other product-driven industries.

• Experience in cloud data environments and best practices for product instrumentation.

• Familiarity with highly collaborative environments characterized by changing priorities.

🏝️ Benefits

• An annual base salary ranging from $115,000 to $120,000.

• Potential for variable compensation.

• Opportunity for remote work.