Senior Data Scientist

Accountabilities

Lead end-to-end data science initiatives that transform ambiguous business questions into structured analytical and machine learning solutions, delivering predictive insights that support strategic and operational decision-making across the organization.

• Own the full lifecycle of data science projects, from problem framing and data exploration to modeling, deployment, and monitoring

• Build and productionize machine learning models in collaboration with data engineering teams

• Apply statistical modeling, causal inference, and experimentation techniques to generate actionable business insights

• Evaluate model performance and communicate trade-offs, limitations, and implications for business decisions

• Conduct deep-dive analyses on large-scale, multi-source datasets to identify trends and opportunities

• Translate complex analytical findings into clear, impactful recommendations for executive and cross-functional stakeholders

• Contribute to the development of data science best practices, standards, and internal methodologies

• Partner with engineering and governance teams to improve data quality, structure, and usability

Requirements

Strong background in applied data science with proven experience delivering end-to-end machine learning and statistical solutions that drive measurable business impact in fast-paced environments.

• 5+ years of experience in data science, applied statistics, or machine learning roles

• Strong expertise in predictive modeling, experiment design, and causal inference

• Advanced proficiency in SQL and Python for large-scale, complex datasets

• Experience working with modern data stacks, including cloud data warehouses and transformation tools

• Proven ability to build, deploy, and maintain production-grade ML models

• Strong analytical thinking with the ability to distinguish signal from noise in complex datasets

• Excellent communication skills, including the ability to explain technical concepts to non-technical stakeholders

• Experience working in ambiguous, fast-evolving environments with high ownership expectations

• Familiarity with AI-assisted workflows and LLM-based tools is a plus

Benefits

• Competitive salary range ($120,000 – $175,000, based on location and experience)

• Comprehensive health, dental, and vision insurance

• Short-term disability and life insurance coverage

• Paid time off and paid holidays

• 401(k) retirement plan with company support

• Equity opportunities and discretionary company bonus eligibility

• Fertility treatment benefits

• Fully remote, flexible work environment

• Collaborative, innovation-driven engineering and data culture

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
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