Senior Data Scientist (Remote - US)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Scientist in the United States.

This role offers an exciting opportunity to drive business impact by leveraging large-scale consumer and transactional data. You will build and operationalize predictive models, experimentation frameworks, and data-driven strategies that inform product, marketing, and operational decisions. Working cross-functionally with Product, Engineering, and Data teams, you will turn complex datasets into actionable insights, directly influencing user engagement, personalization, and monetization efforts. The position combines hands-on modeling, strategic analysis, and mentorship, providing an environment that values experimentation, analytical rigor, and measurable results. This is ideal for a technically strong, curious, and proactive data science professional who thrives in a fast-moving, impact-driven environment.

Accountabilities:

• Design, build, and deploy predictive and causal models to drive personalization, retention, and monetization strategies.
• Develop and operationalize experimentation frameworks to measure the impact of product and marketing initiatives accurately.
• Quantify and communicate business impact of key initiatives, translating complex model outputs into actionable insights.
• Collaborate cross-functionally with Product, Engineering, and Data teams to transform insights into scalable data products and intelligent systems.
• Mentor peers and contribute to strengthening the organization’s scientific rigor, data culture, and analytical storytelling capabilities.
• Champion best practices in model validation, reproducibility, and governance while advancing the use of AI/ML tools responsibly.

• 5+ years of experience in data science, machine learning, or applied analytics in product-driven environments.
• Deep expertise in statistical modeling, experimental design, and causal inference.
• Proficiency in SQL and at least one programming language (Python preferred).
• Experience with large-scale data platforms and tools such as Snowflake, dbt, Airflow, and Spark.
• Ability to communicate complex analyses to non-technical stakeholders and influence decision-making.
• Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field.

Preferred Skills:

• Advanced degree (Master’s or Ph.D.) in a quantitative discipline.
• Experience deploying ML models into production and managing model lifecycle.
• Background in consumer technology, ad tech, or personalization systems.
• Familiarity with privacy-preserving data modeling and compliance standards such as GDPR or CCPA.
• Leadership or mentorship experience in analytical teams.