Senior Manager, Data Science (Hybrid)

Insulet Corporation•Acton, MA

1d•Hybrid

About The Position

Senior Manager of Data Science Summary: We are seeking a driven and knowledgeable Senior Manager of Data Science to join our team of skilled data scientists within our organization. The successful candidate will be instrumental in designing, improving, supporting, and implementing our data science roadmap, working closely with the Senior Director of AI, Data Science, and Analytics Engineering. This impactful role requires a combination of leadership, technical expertise, and the capacity to build and reinforce strategic relationships that deliver measurable value through data science, machine learning, and AI initiatives. The role will have cross-functional impact, influencing product development, customer experience, and operational efficiency.

Requirements

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.

Nice To Haves

Experience with big data technologies and architectures.
Understanding of data governance and data security best practices.
Certification in Microsoft Azure or other relevant cloud technologies.
Ability to cultivate a culture of innovation and continuous improvement.
Interest in mentoring and developing talent within the data science domain.
Experience deploying models in production environments.
Familiarity with CI/CD pipelines for ML.
Experience working in regulated industries (e.g., healthcare, finance).

Responsibilities

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.