Data Scientist working at HP analyzing complex data sets using statistical techniques. Developing data - driven models and insights to improve organizational performance while mentoring project teams.
About the role
- Head of Data responsible for building and leading a centralized data team at MDCalc. This role involves developing data strategy and fostering technical excellence to drive business forward.
Responsibilities
- Develop the Data Roadmap: This leader will define, own, and champion the vision, strategy, and execution plan for all data functions at MDCalc. This involves creating a roadmap that aligns data initiatives with overarching product goals and company objectives, ensuring that our data capabilities evolve to meet future business needs.
- Executive Partnership: The Head of Data will serve as a primary data thought partner to the CTO and the broader executive leadership team. They must possess the ability to translate complex analytical findings and technical concepts into clear, concise, and actionable business strategies.
- Foster Technical Excellence: This leader will cultivate a team culture grounded in innovation, collaboration, and continuous learning. They will establish and promote technical best practices in areas such as software development, version control, DataOps, and MLOps.
- Provide Servant Leadership: As a player-coach, the Head of Data will provide both strategic direction and hands-on mentorship. They will be responsible for the professional development of their team members.
- Broad Data Responsibility: This leader will have ownership over Data Engineering & Infrastructure, Analytics & Business Intelligence, and Data Science team members.
- Oversee the architecture, implementation, and maintenance of a modern, scalable data platform capable of handling our diverse and growing data assets.
- Deliver critical insights that drive the business forward across multiple analytics domains.
Requirements
- A minimum of 10 years of progressive experience in data-related fields (data engineering, analytics, data science), with at least 5 years in a people management role leading, mentoring, and developing data professionals.
- Demonstrated success in building and scaling a data function, preferably in a startup or high-growth technology environment.
- Deep, hands-on expertise across the modern data stack. This is not a purely managerial role; the ideal candidate must have the technical credibility to lead a team of experts.
- Extensive experience with modern data warehousing platforms (e.g., Snowflake, BigQuery, Redshift), ETL/ELT frameworks and tools (e.g., dbt, Fivetran, Airflow), and cloud infrastructure (AWS preferred).
- Mastery of SQL and deep experience with data visualization and business intelligence tools (e.g., MetaBase, Tableau, Looker, Power BI). A strong understanding of product analytics methodologies (e.g., cohort analysis, funnel optimization) is essential.
- A strong foundation in statistical methods, predictive modeling, and machine learning concepts. Proficiency with Python or R and their associated data science libraries (e.g., pandas, scikit-learn, PyTorch/TensorFlow) is required.
- A strong understanding of data privacy and security principles, with a working knowledge of compliance requirements for handling sensitive data types (e.g. PII, PHI, financial, etc.)
- Experience in the life sciences, pharmaceutical, or biotech industries is highly desirable. A strong candidate will have a deep understanding of the commercial data ecosystem and how data is used to drive marketing, sales, and brand strategy.
Benefits
- Medical, Dental, & Vision Coverage, with option to extend to your dependents
- Company-sponsored short-term insurance
- Fully-paid 8 week parental leave, after 6 months of employment
- Company-sponsored 401k, after 3 months of employment
- Unlimited vacation for salaried roles - we trust you to take the time you need
- Bi-annual company offsites to connect, reflect, and plan together (most recently in Asheville and Mexico City)
- Work from home monthly stipend
- Hybrid work environment with a great team office in Greenwich Village, NYC
- A culture of fun and motivated team members who believe in a greater mission here at MDCalc
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Senior Data Scientist creating predictive models and extracting insights for BlueCross BlueShield healthcare operations. Collaborating across teams to enhance decision - making and outcomes for members.
Senior Technology Recruiter focusing on Data Science and Engineering at CVS Health. Responsible for attracting top technical talent through strategic recruiting and innovative practices.
Senior Data Scientist applying advanced statistical methods to manufacturing challenges in global health. Collaborating across global teams to improve quality control and regulatory submissions.
Advance Data Scientist designing and implementing data driven solutions for Honeywell business functions. Collaborating with teams to integrate results into operational platforms.
Data Scientist addressing complex business challenges leveraging statistical, machine learning, and AI techniques. Collaborating across functions to develop and deploy scalable analytics and predictive models.
Data Science Analyst implementing machine learning models in a telecom company. Developing pipelines and ensuring data quality while collaborating with different teams.
Data Scientist implementing machine learning and big data solutions for OLITEL in Lima. Collaborating on data analysis, and reporting while ensuring data quality.
Senior Data Science & AI Content Developer leading curriculum creation for DECI project in Egypt. Designing innovative learning paths and mentoring junior developers in a hybrid role.
Marketing Analytics Lead at SDG Consulting leading data - driven marketing projects for global clients. Requires strong analytical skills and over 7 years of experience in Marketing Analytics.