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.

Requirements

• 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.

Benefits

• Equity in the company, allowing you to share in growth.
• 401(k) with dollar-for-dollar match up to 4%.
• Comprehensive medical, dental, and vision plans, including coverage for pets.
• Education reimbursement of up to $10,000 per year.
• Flexible PTO and 9 paid holidays, including a year-end week-long break.
• Robust parental leave and family support benefits, including cash incentives for new parents.
• Remote-friendly environment with equipment and software support.
• Inclusive and diverse workplace culture with Employee Resource Groups and leadership engagement.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process, designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the three candidates who best match the role.
🧠 When necessary, our human team may conduct an additional manual review to ensure no strong profile is overlooked.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is complete, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or assessments) are made by their internal hiring team.

Thank you for your interest!

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