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Jobgether

Senior Director, Data Science

Remote
Python SQL Spark TensorFlow PyTorch XGBoost AI Machine Learning
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Description

Sr Director, Data Science

Team: IT

Location: US

Commitment: Full-time

Workplace Type: remote

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Sr Director, Data Science in United States.

This role provides an exciting opportunity to lead a global data science organization, shaping the next generation of data-driven solutions in a fast-paced, high-impact environment. The Sr Director, Data Science will oversee teams responsible for advanced modeling, AI, and predictive analytics that inform business decisions and improve outcomes. You will partner closely with product, engineering, and commercial leaders to implement scalable, compliant, and innovative data initiatives. This position involves leading distributed teams across multiple geographies, fostering a culture of experimentation and collaboration, and driving strategic projects that leverage healthcare or similar domain-specific data. The role emphasizes ethical, privacy-aware data practices while delivering measurable business impact.

Accountabilities:

    • Lead and mentor a global team of data scientists, fostering innovation, collaboration, and technical excellence.

    • Develop and oversee predictive, causal, and machine learning models to drive actionable insights and business impact.

    • Partner with product, engineering, and commercial teams to implement scalable data solutions aligned with organizational priorities.

    • Ensure data science practices comply with relevant privacy, regulatory, and ethical standards.

    • Contribute to the strategic planning of data initiatives, identifying opportunities for advanced analytics and AI integration.

    • Strengthen data infrastructure, feature engineering, reproducibility, and ML Ops processes to improve reliability and scalability.

    • Translate complex modeling outputs into clear insights for stakeholders and clients.

      • Requirements:

      • Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related quantitative field; Master’s or Ph.D. preferred.

      • 8+ years of experience in data science, machine learning, or advanced analytics roles.

      • 5+ years of experience managing and mentoring data science or analytics teams.

      • Experience with healthcare data, adtech, marketing analytics, or other domain-specific large-scale datasets.

      • Strong expertise in Python, SQL, Spark, and modern ML frameworks (TensorFlow, PyTorch, XGBoost).

      • Deep understanding of statistics, causal inference, and media measurement or attribution methodologies.

      • Experience with privacy-aware data practices and regulatory frameworks (HIPAA, GDPR, CCPA).

      • Excellent communicator with the ability to convey technical concepts to business stakeholders.

      • Comfortable operating in global, cross-functional teams across multiple time zones.

        • Benefits:

        • Competitive base salary with performance-based bonus potential.

        • Comprehensive medical, dental, and vision coverage.

        • 401(k) with employer match.

        • Flexible remote or hybrid work options depending on location.

        • Unlimited PTO, paid holidays, and parental leave.

        • Professional development, education support, and career growth opportunities.

        • Additional perks such as home internet stipend, wellness programs, and flexible work arrangements.

Why Apply Through Jobgether?
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.
We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.


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