Senior Manager, Data Science

Diabetes Youth Families

. Manage and mentor a team of data scientists, fostering a collaborative and enabling environment that encourages innovation and professional growth.

Posted 5/15/2026full-timeCalifornia, Massachusetts • 🇺🇸 United StatesSenior💰 $180,200 - $270,275 per yearWebsite

Tech Stack

Tools & technologies

AzureCloudPythonSparkSQL

About the role

Key responsibilities & impact

Manage and mentor a team of data scientists, fostering a collaborative and enabling environment that encourages innovation and professional growth.
Help shape the data science strategy in line with organizational goals, while establishing clear objectives and benchmarks.
Collaborate with key stakeholders to improve existing analytical capabilities and identify opportunities for leveraging data to drive significant business results.
Support the development and execution of advanced data science projects, ensuring timely delivery and the realization of objectives.
Define and track success metrics such as model accuracy, business ROI, and time-to-insight to evaluate project impact.
Communicate complex analytical insights and data-driven strategies to executive, technical, and non-technical audiences through persuasive presentations.
Work with the analytics engineering, data engineering, and cloud operations teams to provide the necessary tools, data, and infrastructure for data science initiatives.
Promote a culture of continuous learning and knowledge sharing within the data science team to keep up with the latest industry developments and technologies.
Utilize expertise in Microsoft Azure, Databricks, and Gen AI to encourage innovation and maintain a competitive edge within the data science practice.
Foster an inclusive team culture and support diverse perspectives in data science.

Requirements

What you’ll need

Experience managing data science teams, with a proven track record of driving projects to successful completion.
Strong understanding of data science methodologies, machine learning algorithms, and AI technologies.
Practical experience with Microsoft Azure cloud services, Azure Databricks, and other data science and analytics platforms.
Skill in identifying and executing on new opportunities to create value with data.
Strong interpersonal skills with the ability to build and maintain relationships with key stakeholders across various departments.
Excellent communication skills, capable of articulating complex technical concepts to both technical and non-technical audiences.
Strategic thinker with outstanding problem-solving abilities and a creative approach to challenges.
Familiarity with Gen AI, LLMs, MLOps, AutoML, and Responsible AI and their applications in driving business value.
Proficiency in Python, SQL, Spark, MLflow, and other relevant tools and languages.
Master's degree in Data Science, Computer Science, Statistics, or a related field preferred.

Benefits

Comp & perks

Medical, dental, and vision insurance
401(k) with company match
Paid time off (PTO)
And additional employee wellness programs

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data science methodologiesmachine learning algorithmsAI technologiesPythonSQLSparkMLflowMLOpsAutoMLResponsible AI

Soft Skills

team managementinterpersonal skillscommunication skillsstrategic thinkingproblem-solvingcreativitycollaborationmentoringrelationship buildingknowledge sharing

Certifications

Master's degree in Data ScienceMaster's degree in Computer ScienceMaster's degree in Statistics