Staff Data Scientist

This is a fully remote position, open to applicants in United States.

📋 Description

• Spearhead intricate data science, machine learning, and AI projects of considerable scope.

• Design, develop, and sustain analytics pipelines and algorithmic data products addressing healthcare and business challenges.

• Utilize supervised and unsupervised learning, statistical inference, causal modeling, and various quantitative methodologies.

• Transform vague business, clinical, and product challenges into analytical and machine learning solutions.

• Oversee data science projects from problem identification and exploratory analysis to model creation, validation, implementation, and enhancement.

• Establish and advocate for data science best practices, which encompass reproducible analysis, experimental design, version control, peer review, documentation, and model development practices.

• Mentor and provide technical direction, design guidance, and code and model evaluations to fellow data scientists.

• Collaborate with Data Engineering, ML Engineering, Product, Clinical, and business stakeholders.

• Convey analyses, methodologies, trade-offs, results, and recommendations to both technical and non-technical audiences.

• Create presentations and recommendations that facilitate data-driven decision-making.

• Enhance analytical methods, reusable methodologies, tools, and data science competencies.

• Manage multiple complex projects while communicating progress, risks, dependencies, and outcomes.

• Contribute to technical standards and elevate the quality, maintainability, and reproducibility of data science outputs.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Engineering, Business Management, or a related discipline.

• Over 8 years of experience in applying machine learning, statistics, and quantitative methods to intricate business or healthcare issues.

• Extensive experience with SQL and distributed data-processing technologies, such as Spark.

• Proficient programming skills in Python, Scala, R, or similar languages utilized in data science and machine learning.

• Experience in designing, developing, assessing, and articulating machine learning or statistical solutions.

• Capability to independently lead complex analytical projects that involve multiple stakeholders.

• Strong grasp of machine learning, statistical inference, experimentation, and analytical methodologies.

• Ability to effectively communicate technical concepts, results, limitations, and recommendations to both technical and non-technical audiences.

• Experience in mentoring or providing technical guidance to other data scientists.

• Advanced degree in a STEM field or equivalent experience and proficiency.

• Applicants must currently be authorized to work in the United States without the requirement for visa sponsorship now or in the future.

• Willingness to travel up to 10%, depending on business needs.

🏝️ Benefits

• Performance bonus.

• Flexible Vacation Policy.

• 80 hours of Paid Sick, Safe, and Caregiver Leave annually.

• A benefits program focused on employees and their families.

• Teladoc Health equipment provided at no cost.

• Opportunities for career advancement.

• An inclusive workplace culture.

• Professional development and mentorship opportunities.