Data Scientist

Location US-GA-Kennesaw
Job ID
95155
Function
Engineering
Position Level
Senior/Supervisor

Overview

At Zebra, we’re reinventing how businesses operate at the enterprise edge - helping them run faster, smarter, and more connected than ever before. A 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.

 

In this role you will implement cutting-edge technologies and tools for solving high-value, real life customer business problems.This is an excellent opportunity to work within our Reflexis real-time cloud based workforce management solution!

 

No Visa Sponsorship at this time (including OPT/CPT/EAD).

Responsibilities

  • Drives research initiatives to analyze SaaS based workforce management data, identify meaningful business opportunities, and guide solution implementations
  • Applies state-of-the-art machine learning algorithms to the workforce management domain
  • Designs and implements Regression based predictive models incorporating diverse data types
  • Partners with experimentalists to translate models into testable hypotheses
  • Develops tools to support analysis and visualization of large datasets
  • Develops and 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
  • 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
  • Analyzes, reviews and tracks 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 to identify questions and issues for data engineering, machine learning models feature engineering
  • Evaluates and makes recommendations to evolve data collection mechanism for Data capture to improve 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)
  • Drives 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 disclosures
  • Meets with customers, partners, product managers and business leaders to present findings, predictions, foresights;
  • Gathers customer specific requirements of business problems/processes; Identify data collection constraints and alternatives for implementation of models
  • Mentors, guides, and indirectly leads less experienced Data Scientist peers

Qualifications

Minimum Requirements:

 

  • Bachelor’s in Computer Science, Machine learning, or related discipline
  • 5+ years experience required
  • Experience in solving large-scale real-world industry problems, preferably in collaboration with cross-functional, multi-disciplinary teams
  • Strong background in statistics, machine learning, deep learning and programming required 

Preferred Requirements:

  • Master’s degree in Data Science or Computer Science and 2 years of experience, or; 
  • PHD in Data Science or Computer Science preferred
  • Knowledge of statistical programming techniques and languages (e.g., R, Python, Java, etc.)
  • 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)
  • 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
  • High level of initiative and sound independent judgment. 

Join Zebra!

 

Zebra is an equal opportunity/affirmative action employer committed to a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, ancestry, marital status, age, sexual orientation, gender identity, national origin, disability status, 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.

 

The EEO is the Law poster is available here: https://www.zebra.com/content/dam/zebra/compliance/eeoisthelawposter.pdf. The EEO is the Law poster supplement is available here: https://www.zebra.com/content/dam/zebra/compliance/ginasupplement.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.

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