Remote Work: Hybrid

Overview: At Zebra, we are a community of innovators who come together to create new ways of working to make everyday life better. United by curiosity and care, we develop dynamic solutions that anticipate our customer’s and partner’s needs and solve their challenges.
Being a part of Zebra Nation means being seen, heard, valued, and respected. Drawing from our diverse perspectives, we collaborate to deliver on our purpose. Here you are a part of a team pushing boundaries to redefine the work of tomorrow for organizations, their employees, and those they serve.
You have opportunities to learn and lead at a forward-thinking company, defining your path to a fulfilling career while channeling your skills toward causes that you care about – locally and globally. We’ve only begun reimaging the future – for our people, our customers, and the world.
Let’s create tomorrow together.

Designs, develops, programs and implements Machine Learning Models (Clustering, Classification or Regressions models), Implements Artificial/Augmented Intelligence systems/Agentic Workflows, Performs Statistical Modelling and Measurements by applying data engineering, feature engineering, statistical methods, ML modelling and AI techniques on structured, unstructured, diverse “big data” sources of machine acquire data to generate actionable insights and foresights for real life business problem solutions and product features development and enhancements.

 

As a Senior Data Scientist, you are required to be proficient in MLOPs and will be a member of a close-knit team of data analysts, data scientists, and software developers analyzing large, multidimensional datasets from internal and external sources. You will develop and apply novel models on customer data in order to help identify areas to increase profits and reduce losses.

Responsibilities:
Designs and implementation of Regression based predictive models incorporating diverse data typesIntegrates state-of-the-art machine learning algorithms as well as the development of new methodsPartners with experimentalists to translate models into testable hypothesesDevelops tools to support analysis and visualization of large datasetsDevelops, codes software programs, implements industry standard auto ML models (Speech, Computer vision, Text Data, LLM), Statistical models, relevant ML models (devices/machine acquired data), AI models and algorithmsIdentifies meaningful foresights based on predictive ML models from large data and metadata sources; interprets and communicates foresights, insights and findings from experiments to product managers, service managers, business partners and business managersMakes use of Rapid Development Tools (Business Intelligence Tools, Graphics Libraries, Data modelling tools) to effectively communicate research findings using visual graphics, Data Models, machine learning model features, feature engineering / transformations to relevant stakeholdersAnalyze, review and track trends and tools in Data Science, Machine Learning, Augmented Intelligence, Artificial Intelligence and IoT space to help in making build/buy/partner recommendationsInteracts with Cross-Functional teams to identify questions and issues for data engineering, machine learning models feature engineeringEvaluates and makes recommendations to evolve data collection mechanism for Data capture to improve efficacy of machine learning models predictionHelps efficiently maintain cloud Infrastructure for research, staging and beta/pilot environment (from costs perspective for working with huge data sets)Mentors, guides, and indirectly leads less experienced Data Scientist peersDrives innovation by fostering open, high energy, collaborative environment; lead participation in innovation summit and expos, recommend relevant training and conference for employees to attend, publish papers and patent disclosuresMeets with customers, partners, product managers and business leaders to present findings, predictions, foresights; Gather customer specific requirements of business problems/processes; Identify data collection constraints and alternatives for implementation of models Working knowledge of MLOps, LLMs and Agentic AI/Workflows
Qualifications:

Minimum Qualifications:

Bachelor’s in Computer Science, Machine learning, Statistics, Mathematics, Data Science or related discipline with 5+ years experience. Strong background in statistics, machine learning, deep learning and programming necessary. Experience in programing using Python and proficiency in PySpark and SQL for large-scale data manipulation and modeling.Expertise in Azure and GCP Databricks environments.Experience with Git, MLOps and setting up CI/CD and CT pipelines for data science projects.Working knowledge of common machine learning and deep learning approaches (e.g. regression, clustering, classification, dimensionality reduction, supervised and unsupervised techniques, Bayesian reasoning, boosting, random forests, deep learning) and data analysis packages (e.g. scikit-learn, Py-clustering, pathways analysis, MLlib)Prior experience with TensorFlowPrior experience in Natural Language Processing using NLTKFamiliarity with NoSQL databases, graphical analyses, and large-scale data processing frameworks (e.g. Apache Spark)Experience using cloud compute (e.g. Google Cloud Platform, AWS, Azure)Solid understanding of data structures, software design and architectureExperience in solving large-scale real-world industry problems, preferably in collaboration with cross-functional, multi-disciplinary teams

Preferred Qualifications:

Advanced degree–Masters or PhD-strongly preferred in Statistics, Mathematics, Data / Computer Science or related discipline.Retail industry experience desired

Zebra is an equal opportunity/affirmative action employer committed to a diverse and inclusive workplace All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identify, national origin, disability and protected veteran status or any other basis prohibited by law. If you are an individual with a disability and need assistance in applying for a position, please contact us at workplace.accommodations@zebra.com. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.

 

Know Your Rights:

https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf

 

Conozca sus Derechos:

https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRightsSp_10_20.pdf

 

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

 

Zebra is a federal contractor and is committed to an alcohol and drug free workplace. As a result, all U.S. based employees are subject to the Drug and Alcohol Free Workplace Policy and Procedure.

Zebra Total Rewards includes more than just pay and is structured to meet the needs of our changing global business and evolving talent. We are committed to providing our employees with a benefits program that is comprehensive and competitive – including healthcare, wellness, inclusion networks, and continued learning and development offerings. We offer community service days, in addition to the traditional insurances, compensation, parental leave, employee assistance program and paid time off offerings depending on the country where you work.

Salary: USD 94900.00 - USD 142300.00 Yearly

Salary offered will vary depending on your location, job-related skills, knowledge, and experience.
Additionally, all Zebra roles are eligible for cash incentive programs. For example, sales roles have additional opportunity to earn substantial variable compensation tied to quota achievement. In most other roles, the Zebra annual cash incentive program links Company and individual performance together. Some roles may also be eligible for long-term incentive equity awards.

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.