Data Scientist, Senior

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

At Zebra, we’re reinventing how businesses operate at the enterprise edge - helping them run faster, smarter, and more connected than ever before. A dynamic community of builders, doers and problem solvers, we each play an outstanding role - crafting new technologies, bringing solutions to market, and participate with Companies on the front line of business.

Joining Zebra means making your mark as we make digital transformation a reality. It means growing into a leader at a leading company that makes a distinct difference - because together, we’ve only just begun. Build Today. Create Tomorrow. Join Zebra.

Job Summary:

The Data Scientist, Senior position designs, develops, programs and implements Machine Learning Models (Clustering, Classification or Regressions models), Implements Artificial/Augmented Intelligence systems, 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.The Data Scientist Senior 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. The Data Scientist Senior 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 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
• Identifies meaningful foresights based on predictive ML models from large data and metadata sources; interprets and communicates foresights, insights and findings from experiments
• Makes 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 stakeholders
• Analyze, 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 recommendations
• Interacts with Cross-Functional teams
• Evaluates and makes recommendations to evolve data collection mechanism for Data capture to improve efficacy of machine learning models prediction
• Mentors, guides,and indirectly leads less experienced Data Scientist peers
• Drives innovation by fostering open, high energy, collaborative environment

Minimum Qualifications:

• Bachelor’s in Computer Science, Statistics, Economics, Mathematics, or related discipline. Master’s degree preferred.
• Strong background in statistics, data science, deep learning and programming necessary. 5+years experience required.
• Experience in solving large-scale real-world industry problems, preferably in collaboration with cross-functional, multi-disciplinary teams
• Knowledge of statistical programming techniques and languages (e.g., SQL, Python.)
• 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, pyclustering, pathways analysis, MLlib)

Preferred Qualifications:

• 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, and large-scale data processing frameworks (e.g. Apache Spark)
• Solid understanding of data structures, software design and architecture
• Ability to work independently and take initiative, but also a co-operative team player