Senior Data Scientist: ML, AI & Big Data Innovator

Zebra Technologies Corporation; Lincolnshire (IL); On-site; USD 109,000 - 163,000; Full time

Benefits offered by this job

Hybrid work

Healthcare benefits

Learning & development

Annual incentive

Job summary

Zebra Technologies Corporation seeks a Senior Data Scientist to design, implement and deploy ML models across large datasets. You’ll collaborate with data analysts, software developers and product managers to translate business problems into predictive solutions using AI techniques on structured and unstructured data.

Responsibilities include developing new ML methods, applying state-of-the-art algorithms, and mentoring peers, while leveraging Azure Databricks, PySpark and CI/CD practices to

Qualifications

• Bachelor’s degree in Computer Science, Machine learning, or related discipline.
• 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.

Responsibilities

• Designs and implementation of Regression based predictive models incorporating diverse data types.
• Integrates state-of-the-art machine learning algorithms as well as the development of new methods.
• 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 (Speech, Computer vision, Text Data), Statistical models, relevant ML models (devices/machine acquired data), AI models and algorithms.
• Identifies 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 managers.
• Meets 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.

Skills

Statistics

Machine learning

Deep learning

Time series forecasting

Azure Databricks

PySpark

Databricks SQL

End-to-end ML deployment

CI/CD

GitHub Actions

Education

Bachelor's in CS/ML related

Master's degree preferred

Tools

TensorFlow

Spark

NoSQL

Python

R

Job description

Zebra Technologies Corporation seeks a Senior Data Scientist to design, implement and deploy ML models across large datasets. You’ll collaborate with data analysts, software developers and product managers to translate business problems into predictive solutions using AI techniques on structured and unstructured data.

Responsibilities include developing new ML methods, applying state-of-the-art algorithms, and mentoring peers, while leveraging Azure Databricks, PySpark and CI/CD practices to