Staff Data Scientist

Team: IT

Location: US

Commitment: Full-time

Workplace Type: remote

Accountabilities:

• Conduct exploratory data analysis and statistical modeling on large structured and unstructured datasets to uncover insights that inform AI models and product decisions.

• Design and implement machine learning models, including supervised, unsupervised, and representation-learning approaches, to enhance platform capabilities.

• Engineer features and build knowledge representations to enrich AI agents and support intelligent workflows.

• Develop high-quality training datasets, including annotations, evaluation frameworks, and benchmarks for model development and validation.

• Collaborate with engineering teams to operationalize models, ensuring scalability, reliability, and integration with product architecture.

• Continuously evaluate model performance, iterate on features and pipelines, and adjust strategies based on business needs and experimental outcomes.

• Work cross-functionally with product, design, and engineering teams to translate business problems into data science solutions and actionable insights.

Requirements:

• BS or higher in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field, or equivalent practical experience.

• 7+ years of experience in data science, applied machine learning, or statistical modeling in production environments.

• Strong statistical foundation and expertise in analyzing complex datasets to extract meaningful patterns and actionable insights.

• Hands-on experience developing, evaluating, and deploying ML models with measurable business impact; familiarity with LLMs and embeddings is a plus.

• Proficiency in Python and SQL, with experience building data pipelines, training models, and performing large-scale data analysis.

• Experience with modern data platforms, data warehouses, and distributed processing systems.

• Familiarity with MLOps practices, including model training, versioning, deployment, and lifecycle management.

• Strong collaboration and communication skills to explain complex technical concepts to non-technical stakeholders.

Benefits:

• Competitive annual base salary: $132,500 - $170,500.

• Participation in annual discretionary company bonus program and equity awards.

• Medical, dental, and vision insurance with company cost subsidies.

• Short-term, long-term disability, and life insurance coverage.

• Flexible Time Off program, generous parental leave, military leave, and paid company holidays.

• Sabbatical program and professional development support.

• 401(k) plan with 4% employer match after 6 months.

• Remote work flexibility and collaboration with industry-leading experts in AI, HR technology, and data science.

• Supportive programs for mental health, wellness, and inclusive benefits for employees and their families.