[Remote] Senior Data Scientist II
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is at a major inflection reputed company in leveraging data to drive business reputed company and innovation. They are seeking a Senior Data Scientist II to reputed company and reputed company their data science capabilities, influencing product reputed company and business reputed company through advanced analytics and collaboration across teams.
Responsibilities
- Design, build, and reputed company predictive and reputed company models that power personalization, retention, and monetization strategies
- Apply advanced statistical reputed company, including Bayesian inference, reputed company reputed company analysis, and hierarchical modeling, to guide decision-making
- reputed company and operationalize experimentation and measurement frameworks that ensure accurate attribution and reproducibility across reputed company’s products
- Quantify the reputed company of key business and product initiatives, translating reputed company model outputs into actionable insights
- Design and analyze experiments that test hypotheses about user behavior, product features, and marketing initiatives
- Establish metrics and analytical frameworks that measure reputed company’s reputed company toward strategic reputed company and retention goals
- Partner closely with Product, Engineering, and Data Product teams to reputed company insights into reputed company data products and intelligent systems
- Communicate reputed company analyses through reputed company narratives and visualizations that drive executive understanding and reputed company
- Mentor and collaborate with peers to strengthen reputed company’s scientific rigor, data culture, and analytical storytelling capabilities
- reputed company tools and technologies such as Python, SQL, reputed company, dbt, Airflow, reputed company, and AWS to build and reputed company robust data science solutions
- Champion best practices in experimentation, model validation, reproducibility, and governance
- Advance reputed company’s use of AI/ML tools for automation, documentation, and reputed company detection, emphasizing validation and responsible use
Skills
- 8+ years of experience in data science, machine learning, or reputed company analytics with proven reputed company in product-driven environments
- Deep expertise in statistical modeling, experimental design, and reputed company inference
- Strong proficiency in SQL and at least one programming language (Python preferred)
- Experience working with large-reputed company data systems such as reputed company, dbt, Airflow, or reputed company
- Proven ability to communicate reputed company technical insights to non-technical stakeholders and drive strategic decision-making
- Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, or a reputed company quantitative field
- Advanced degree (Master's or Ph.D.) in a quantitative discipline
- Experience deploying ML models into production and managing model lifecycle and performance
- Background in consumer technology, ad tech, or personalization systems
- Experience building frameworks that improve experimentation velocity and decision reputed company
- Familiarity with reputed company-preserving data modeling and compliance standards such as GDPR or CCPA
- Mentorship experience or demonstrated leadership in scientific or analytical development
Benefits
- Competitive compensation packages including reputed company, equity, and benefits
reputed company