Senior Manager, Data Science

Overview

At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer's and partner's needs and solve their challenges.

Being part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve.

You'll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about—locally and globally.

Come make an impact every day at Zebra.

What We're Looking For

The data science team is responsible for creating data science driven algorithms for IoT machine and

business system data to be used for various commercial solutions, internal process improvements

and customer engagements. The team applies broad knowledge of company's product and solutions

as well as the machine learning and statistical modeling techniques to create cutting edge data driven

solutions.

As the Senior Manager, Data Science, you will be responsible for the development and

implementation of proprietary machine learning algorithms and techniques to solve business

problems and optimize our customer and partner experience. You will also be responsible for

recruiting, mentoring and managing a team of data scientists and data science supervisors.

This role is both strategic and technical in nature and requires meaningful industry experience. As a

Senior Manager, Data Science, you will be responsible for enriching our products, services and

solutions value proposition. This includes increasing the profitability of existing products, building data

analytics solutions for our customer and partners, and help to develop new ideas based on your

industry experience and your knowledge of innovation in Industrial Internet of Things (IIoT) and

machine learning space.

Essential Duties And Responsibilities

– Working with data sets of varying degrees of size and complexity, including both structured and

unstructured data.

– Implementing real-time model scoring to drive actions.

– Determine continuous improvement opportunities of current predictive modeling algorithms.

– Analyze, review and track trends and tools in analytics and make build/buy/partner recommendations

– Maintain data science research cluster and track costs associated

– Mentor, guide, and develop Data Scientists within the team

– Drive innovation by fostering open, high energy, collaborative environment; led participation in

innovation summit and expos, recommend relevant training and conference for employees to attend,

publish papers and patent disclosures

– Travel as needed to visit customers, partners, attend seminars, trade shows or meet area sales

personnel.

Note: The statements herein are intended to describe the general nature and level of work being performed by

employees, and are not to be construed as an exhaustive list of responsibilities, duties, abilities, and skills required of

personnel so classified.

Looking for 8+ Years experience in Data science and looking for a Senior Manager, Data Science, will be responsible for enriching our products, services and solutions value proposition.

Implementation Delivery Experience: Prior success delivering enterprise data-driven software solutions, preferably within complex Retail, CPG, or Supply Chain environments.

Broad Forecasting & AI Literacy: Practical understanding of diverse forecasting methodologies (from classical statistical models to machine learning and foundational time series AI), including the use, validation, and integration of Generative AI models paired with robust human-in-the-loop (HITL) governance.

Client-Facing Technical Leadership: Act as the primary technical interface for clients. Lead scoping workshops and translate complex engineering pipelines and forecasting models into clear, high-impact business concepts.

Team Leadership: Proven track record of managing and upskilling a cross-functional team of Data Engineers and Data Scientists, bridging the gap between raw data preparation and advanced predictive modeling.

Release & Code Quality Ownership: Own the adherence to best practices related to code repository structure, branching strategies, and CI/CD pipelines within the deployed software stack. Enforce strict standards for code reviews, unit testing, and production-grade software delivery.

Software Delivery & CI/CD Expertise: Strong experience managing Git repositories, code-review protocols, unit testing, and building software-level CI/CD pipelines.

Capability Building: Mentor and train the team on implementing both advanced forecasting methodologies (statistical time series, machine learning, neural networks, foundational models) and efficient software engineering patterns.

Databricks Solution Architecture: Architect and govern scalable, cost-optimized solutions on Databricks utilizing Delta Live Tables (ETL), Unity Catalog (governance), and MLflow (model management).

Databricks Ecosystem Mastery: Deep architectural expertise in PySpark, Spark SQL, Delta Lake, Unity Catalog, and MLflow as the core engine for software deployments.

DevOps & Infra Collaboration: Partner with the dedicated DevOps/Cloud Infrastructure team to seamlessly align software-level release pipelines with underlying cloud environments.

Benefits

We understand the importance of work-life balance and wellbeing, which is why we offer flexibility for our teams including: hybrid work, adaptable hours, Summer Flex Fridays, Focus Fridays, and an annual companywide well-being day to promote revitalization and success.

Job Posting Statement

To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you via @zebra.com email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department.

AI Technology Statement

Zebra Technologies leverages AI technology to evaluate job applications using objective, job-relevant criteria. This approach enhances efficiency and promotes fairness in the hiring process. However, every decision regarding interviews and hiring is made by our dedicated team, because we believe people make the best decisions about people. For more on how we use technology in hiring and how we process applicant data, see our Zebra Privacy Policy.