What are the responsibilities and job description for the Senior Data Scientist position at Heritage Operations Group, LLC?
Description
Senior Data Scientist
(Associate Director)
Job Description
Position Summary
As a Senior Data Scientist within the INDIGO | AI Innovation Lab, you will lead the development and scaling of data science capabilities while acting as a technical expert and mentor within the team. You will take ownership of key projects and work closely with senior stakeholders to deliver data science-driven solutions that align with enterprise goals. This is a hands-on role where you will develop and implement cutting-edge data science solutions, build and maintain digital products, and enable the democratization of data through scalable tools and best practices. The ideal candidate will have a strong technical background, excellent data science and visualization skills, good communication skills, an exceptional sense of ownership and accountability in their work, and experience in the pharmaceutical or health related industry. This role is based in our Waltham location and would work a hybrid office schedule.
Responsibilities
RESPONSIBILITIES
Key Responsibilities
Lead the Development of Data Science Capabilities
Design and build advanced digital tools, frameworks, and platforms that drive organizational efficiency and scalability
Lead and manage high-impact data science initiatives across the organization, including scope, timelines, and resource needs
Evangelize and contribute to scaled adoption of ML and AI capabilities across the organization
Stay updated with advancements in data science and integrate emerging technologies into solutions where applicable
Support and Scale Data Science Use Cases
Develop and deploy complex analytical models and insights to inform strategic decisions
Implement data science solutions, including but not limited to predictive models, NLP, and GenAI applications
Scale proof-of-concept data science ideas and products into maintainable production software services; Leverage best practices for production-ready code development and DevOps to build solutions that are stable, efficient, and scalable
Track and report progress on data science initiatives while accounting for shifting priorities and timelines to ensure alignment with strategic objectives
Champion FAIR principles and guide the organization in their application to ensure long-term data usability and accessibility
Stakeholder Engagement and Collaboration
Act as a key partner to cross-functional teams, providing technical leadership in the design and implementation of digital products.
Act as a trusted advisor, educating stakeholders on INDIGO value offerings and application of team capabilities to their unique business needs
Communicate insights and recommendations to senior leadership
Functional Ownership of Digital Products
Lead the maintenance, enhancement, and governance of digital products under the team’s ownership
Take functional ownership of data science tools and products, ensuring their reliability, scalability, and continued business relevance.
Mentor junior team members and foster a culture of continuous learning and collaboration.
Qualifications
QUALIFICATIONS
Basic Qualifications
Education
Master’s degree in Data Science, Computer Science, Statistics, or a related field. Ph.D preferred.
5-7 years of experience in data science, with a proven track record of delivering impactful solutions
Technical Skills
Proficiency in production programming in languages such as Python and SQL. Comfort with pandas, Numpy, scikit-learn, and PyTorch libraries is required. Experience with graph databases (e.g. Neo4J) is a plus
Hands-on experience with data visualization tools – Tableau and ReactJS/D3 preferred.
Familiarity with cloud computing and ML platforms – AWS platform required, Dataiku and Snowflake experience preferred. Big Data Technologies (e.g. Spark) preferred
Strong knowledge of ML algorithms, statistical analysis techniques, and end-to-end MLOps management.
Experience with last-mile data engineering and data governance best practices (DBT preferred), including FAIR principles
Core Competencies
Proven ability to design and implement high-quality end-to-end data science solutions, from conceptualization and discovery through to tangible value delivery to the business
Strong problem solving and analytical skills, with an aptitude for technical and stakeholder management innovation
Strong leadership and project management skills, with experience mentoring junior data scientists
Excellent communication and interpersonal skills to collaborate effectively across cross-functional teams and get buy-in from stakeholders with a wide spectrum of technical proficiency
Strong organizational skills, with experience managing multiple projects and competing priorities and ambiguities in a fast-paced environment
Preferred Qualifications
Experience in pharmaceutical / biotechnology industry
Familiarity with regulatory and compliance standards for data use in healthcare or life sciences (e.g. HIPAA).
Exposure to latest GenAI innovation and graph analytics
Senior Data Scientist
(Associate Director)
Job Description
Position Summary
As a Senior Data Scientist within the INDIGO | AI Innovation Lab, you will lead the development and scaling of data science capabilities while acting as a technical expert and mentor within the team. You will take ownership of key projects and work closely with senior stakeholders to deliver data science-driven solutions that align with enterprise goals. This is a hands-on role where you will develop and implement cutting-edge data science solutions, build and maintain digital products, and enable the democratization of data through scalable tools and best practices. The ideal candidate will have a strong technical background, excellent data science and visualization skills, good communication skills, an exceptional sense of ownership and accountability in their work, and experience in the pharmaceutical or health related industry. This role is based in our Waltham location and would work a hybrid office schedule.
Responsibilities
RESPONSIBILITIES
Key Responsibilities
Lead the Development of Data Science Capabilities
Design and build advanced digital tools, frameworks, and platforms that drive organizational efficiency and scalability
Lead and manage high-impact data science initiatives across the organization, including scope, timelines, and resource needs
Evangelize and contribute to scaled adoption of ML and AI capabilities across the organization
Stay updated with advancements in data science and integrate emerging technologies into solutions where applicable
Support and Scale Data Science Use Cases
Develop and deploy complex analytical models and insights to inform strategic decisions
Implement data science solutions, including but not limited to predictive models, NLP, and GenAI applications
Scale proof-of-concept data science ideas and products into maintainable production software services; Leverage best practices for production-ready code development and DevOps to build solutions that are stable, efficient, and scalable
Track and report progress on data science initiatives while accounting for shifting priorities and timelines to ensure alignment with strategic objectives
Champion FAIR principles and guide the organization in their application to ensure long-term data usability and accessibility
Stakeholder Engagement and Collaboration
Act as a key partner to cross-functional teams, providing technical leadership in the design and implementation of digital products.
Act as a trusted advisor, educating stakeholders on INDIGO value offerings and application of team capabilities to their unique business needs
Communicate insights and recommendations to senior leadership
Functional Ownership of Digital Products
Lead the maintenance, enhancement, and governance of digital products under the team’s ownership
Take functional ownership of data science tools and products, ensuring their reliability, scalability, and continued business relevance.
Mentor junior team members and foster a culture of continuous learning and collaboration.
Qualifications
QUALIFICATIONS
Basic Qualifications
Education
Master’s degree in Data Science, Computer Science, Statistics, or a related field. Ph.D preferred.
5-7 years of experience in data science, with a proven track record of delivering impactful solutions
Technical Skills
Proficiency in production programming in languages such as Python and SQL. Comfort with pandas, Numpy, scikit-learn, and PyTorch libraries is required. Experience with graph databases (e.g. Neo4J) is a plus
Hands-on experience with data visualization tools – Tableau and ReactJS/D3 preferred.
Familiarity with cloud computing and ML platforms – AWS platform required, Dataiku and Snowflake experience preferred. Big Data Technologies (e.g. Spark) preferred
Strong knowledge of ML algorithms, statistical analysis techniques, and end-to-end MLOps management.
Experience with last-mile data engineering and data governance best practices (DBT preferred), including FAIR principles
Core Competencies
Proven ability to design and implement high-quality end-to-end data science solutions, from conceptualization and discovery through to tangible value delivery to the business
Strong problem solving and analytical skills, with an aptitude for technical and stakeholder management innovation
Strong leadership and project management skills, with experience mentoring junior data scientists
Excellent communication and interpersonal skills to collaborate effectively across cross-functional teams and get buy-in from stakeholders with a wide spectrum of technical proficiency
Strong organizational skills, with experience managing multiple projects and competing priorities and ambiguities in a fast-paced environment
Preferred Qualifications
Experience in pharmaceutical / biotechnology industry
Familiarity with regulatory and compliance standards for data use in healthcare or life sciences (e.g. HIPAA).
Exposure to latest GenAI innovation and graph analytics
