Sr. Data Science Manager, Mobile Products

Philadelphia, PA

Job Category: Data Science Job Number: 5162 Annual Salary: Compensation: Base salary for this role is $195-215K + bonus + generous 401K contribution Industry: Financial Services

Job Description


Job Description:


We have an exciting opportunity to join an investment management company as a Sr. Data Science Manager, Mobile Products Our client is looking for an individual who can use quantitative insights to identify opportunities to optimize the client experience while leading a team of analysts.





Responsibilities include:


*Leading a team of analysts, including but not limited to hiring, training, evaluating, supervising, and providing guidance as needed. *Using insights to determine opportunities to improve client experience with the mobile channel.

*Collaborating with data scientists to create an experimentation plan.

*Providing analytical insights to senior management regarding company strategy and client base.

*Aiding in developing the departmental budget which involves determining technology investments and budgeting to support these tools.





*Bachelor’s degree or higher in a quantitative field.

*At least 8 years of experience working with phone and/or app data.

*Proven leadership experience.

*Experience interacting with and managing stakeholders.

*Enough familiarity with basic modeling techniques that you can create predictive models.

*Extra consideration will be given to those who come from a financial services background.


Work Environment: HYBRID, on-site 3 days a week


Compensation: Base salary for this role is $195-215K + bonus + generous 401K contribution


Locations: Philadelphia, Charlotte, Dallas


Resumes to:


Keywords: mobile, analytics, predictive models, quantitative, financial services, modeling, app, phone, insights

Meet Your Recruiter

Heidi Kalish
Executive Recruiter

Heidi brings a depth of experience and expertise in recruiting quantitative professionals. She has partnered with candidates within predictive analytics, data science, and operations research and understands the nuances of all of these areas.
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