myGwork - LGBTQ+ Business Community · 2 days ago

Principal Data Scientist

San Francisco, CA

Full-time

Onsite

Senior Level

$145K/yr - $270K/yr

10+ years exp

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Responsibilities

You will be a key influencer in the Growth ML & Data Science strategy and contribute significantly to both tactical and strategic planning.

You will own stakeholder relationships and meetings with leads in Marketing, Content Strategy & Finance.

Research and build high-impact end-to-end machine learning systems for customer growth.

Drive the design of scalable ML solutions in production.

Coordinate the work of applied scientists and machine learning engineers providing research guidance and mentorship.

Promote and role-model best practices of data science, engineering, and communication throughout the organization.

Mentor engineers and data scientists across the organization.

Navigate existing ML and AI research and apply it to solve business problems.

Contribute back to the research community by writing/publishing blogs, articles, or papers in conferences.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine LearningStatisticsAI FundamentalsML MethodologiesML FrameworksPythonJavaScalaTensorFlowPyTorchXGBoostScikit-learnProduction ExperienceTechnical Decision AlignmentMentoringExpectation ManagementProblem-SolvingLeadershipCommunicationTeamworkAdaptability

Required

Ph.D or M.S. in Computer Science/Statistics/Data Science or related field

10+ years of building products with Machine Learning and Personalization

Deep understanding of statistics and ML and AI fundamentals

Deep knowledge in multiple ML methodologies, such as LLMs, Foundation Models, Recommendations & Search, Causal Machine Learning, Interpretable ML, Multi-Armed Bandits, Reinforcement Learning and Constrained Optimization

Expert proficiency with ML-frameworks such as TensorFlow, PyTorch, XGBoost, Scikit-learn etc.

Production experience implementing, maintaining, and improving machine learning pipelines and models at scale in Python, Java, Scala, or similar languages

Proven leadership skills, such as aligning complex technical decisions across teams, mentoring, coordinating cross-functional relationships with non-technical stakeholders, managing expectations, and navigating competing priorities

Excellent written and verbal communication skills, with the ability to effectively advocate technical solutions to scientists, engineers, and product audiences

Self-motivated, growth-oriented, and driven to pursue excellence across teams