[Hiring] Staff Data Scientist @Teladoc Health

Role Description

The Staff Data Scientist is a senior individual contributor responsible for leading complex data science initiatives and developing analytics and algorithmic solutions that address high-impact business and healthcare problems. The role applies advanced data science techniques, including supervised and unsupervised machine learning, statistical inference, causal modeling, and large-scale data analysis.

• Lead complex data science, machine learning, and AI initiatives of significant scope, operating with a high degree of independence.
• Design, develop, and maintain analytics pipelines and algorithmic data products that address complex healthcare and business problems.
• Apply advanced analytical methods, including supervised and unsupervised learning, statistical inference, causal modeling, and other appropriate quantitative techniques, to generate actionable insights.
• Translate ambiguous business, clinical, and product problems into clearly defined analytical and machine learning approaches.
• Provide technical leadership throughout the lifecycle of data science initiatives, from problem formulation and exploratory analysis through model development, validation, implementation, and ongoing improvement.
• Establish and promote data science best practices, including reproducible analysis, appropriate experimental design, version control, peer review, documentation, and sound model-development practices.
• Serve as a technical resource for other data scientists by providing mentorship, coaching, design guidance, and code and model reviews.
• Partner with Data Engineering, ML Engineering, Product, Clinical, and business stakeholders to ensure analytical solutions appropriately address business needs.
• Communicate complex analyses, methodologies, trade-offs, results, and recommendations clearly to technical and non-technical audiences.
• Develop influential presentations and recommendations that enable stakeholders to make data-informed decisions.
• Identify opportunities to improve existing analytical approaches, reusable methodologies, tools, and data science capabilities.
• Manage multiple complex initiatives while keeping stakeholders informed of progress, risks, dependencies, and outcomes.
• Contribute to technical standards and improve the quality, maintainability, and reproducibility of data science work across the broader team.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Business Management, or a related field.
• 8+ years of experience applying machine learning, statistics, and quantitative methods to solve complex business or healthcare problems.
• Strong experience with data processing and analysis using SQL and distributed data-processing technologies such as Spark.
• Strong programming skills in Python, Scala, R, or equivalent languages used for data science and machine learning.
• Experience designing, developing, evaluating, and communicating machine learning or statistical solutions.
• Demonstrated ability to independently lead complex analytical projects involving multiple stakeholders.
• Strong understanding of machine learning, statistical inference, experimentation, and analytical methodology.
• Ability to communicate technical concepts, results, limitations, and recommendations effectively to technical and non-technical audiences.
• Experience mentoring or providing technical guidance to other data scientists.
• Advanced degree in a STEM field or equivalent experience and expertise.
• Travel: Up to 10%, subject to business needs.

Requirements

• The base salary range for this position is $200,000 - $215,000.
• This position is eligible for a performance bonus and benefits (subject to eligibility requirements).
• We follow a Flexible Vacation Policy, intended for rest, relaxation, and personal time.
• All time off must be approved by your manager prior to use.
• You will also receive 80 hours of Paid Sick, Safe, and Caregiver Leave annually.

Benefits

• Inclusive benefits program centered around you and your family, with tailored programs that address your unique needs.