Data Scientist, Professional Senior

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 customers and partners 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.

Youll 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 aboutlocally and globally.

Come make an impact every day at Zebra.

What Were Looking For:

Essential Duties and Responsibilities:

• Designs and implementation of Regression based predictive models incorporating diverse datatypes.
• Integrates state-of-the-art machine learning algorithms as well as the development of newmethods.
• Partners with experimentalists to translate models into testable hypotheses.
• Develops tools to support analysis and visualization of large datasets.
• Develops codes software programs implements industry standard auto ML models (SpeechComputer vision Text Data) Statistical models relevant ML models (devices/machine acquireddata) AI models and algorithms.
• Identifies meaningful foresights based on predictive ML models from large data and metadatasources; interprets and communicates foresights insights and findings from experiments toproduct managers service managers business partners and business managers.
• Makes use of Rapid Development Tools (Business Intelligence Tools Graphics Libraries Datamodelling tools) to effectively communicate research findings using visual graphics DataModels machine learning model features feature engineering / transformations to relevantstakeholders
• Analyze review and track trends and tools in Data Science Machine Learning AugmentedIntelligence Artificial Intelligence and IoT space to help in making build/buy/partnerrecommendations
• Interacts with Cross-Functional teams to identify questions and issues for data engineeringmachine learning models feature engineering.
• Evaluates and makes recommendations to evolve data collection mechanism for Data capture toimprove efficacy of machine learning models prediction.
• Helps 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 peers
• Drives innovation by fostering open high energy collaborative environment; lead participationin innovation summit and expos recommend relevant training and conference for employees toattend publish papers and patent disclosures
• Meets with customers partners product managers and business leaders to present findingspredictions foresights; Gather customer specific requirements of business problems/processes;Identify data collection constraints and alternatives for implementation of models.

Minimum Qualifications:

• Bachelors in Computer Science Machine learning or relateddiscipline.
• 5 years experience required. Strong background in statistics machine learning deep learning and programming necessary along with time series forecasting.
• Hands-on experience with the Azure cloud platform particularly Azure Databricks. Proficient in large-scale data processing using PySpark and querying with Databricks SQL.
• Demonstrable experience building and deploying end-to-end ML solutions. Familiarity with CI/CD principles and tools like GitHub Actions and experience with automated deployment frameworks such as Databricks Asset Bundles.

Preferred Qualifications:

• Masters preferred.
• Experience in solving large-scale real-world industry problemspreferably in collaboration with cross-functional multidisciplinary teams.
• Knowledge of statistical programming techniques andlanguages (e.g. R Python Java etc.).
• Working knowledge of common machine learning and deeplearning approaches (e.g. regression clusteringclassification dimensionality reduction supervised andunsupervised techniques Bayesian reasoning boostingrandom forests deep learning) and data analysis packages(e.g. scikit-learn pyclustering pathways analysis MLlib).
• Prior experience with Tensorflow.
• Prior experience in Natural Language Processing using NLTK.
• Retail industry experience desired.
• Experience using cloud compute (e.g. Google Cloud
• Platform AWS Azure).
• Familiarity with NoSQL databases graphical analyses andlarge-scale data processing frameworks (e.g. Apache Spark).
• Solid understanding of data structures software design to work independently and take initiative but also acooperative team player.

Equal Opportunity Employer:

Zebra is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity 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

Know Your Rights:

sus Derechos:

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

Pay Range:

Incentive Compensation:

Zebra Total Rewards:

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 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 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.

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 @ 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.