Data Scientist (IN), Senior

Location IN-Pune
Job ID
95552
Function
Engineering
Recruiter
Derick Xavier
Position Level
Senior/Supervisor

Overview

At Zebra, we extend the edge of possibility by shaping the future of work on the front line—reinventing how businesses run and moving society forward.

We are a community of changemakers, innovators and doers who come together to deliver a performance edge to the front line of business. We develop new technologies and create new solutions with partners to help organizations act with greater visibility, connectivity, and intelligence—delivering better experiences for workers and those they serve.

Being a part of Zebra means being seen, heard, valued, and respected as you define your path to a fulfilling career. Here, you’ll have opportunities to learn and lead at a leading company, and you can channel your skills towards causes that you and the Zebra community care about, locally, and globally.

Together, we've only begun to define the edge of what's possible—for our people, our customers, and the world.

Build your edge. Build what's next.

Extend the edge of possibility by shaping the future of work on the frontline.

 

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. He 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
  • 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 important 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 partners
  • 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 multi-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)
  • Mentors, guides,and indirectly leads less experienced Data Scientist peers
  • Drives innovation by encouraging 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; Capture customer specific requirements of business problems/processes; Identify data collection constraints and alternatives for implementation of models

Qualifications

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

 

Why Zebra?

Zebra Technologies (NASDAQ: ZBRA) empowers the front line in retail/ecommerce, manufacturing, transportation and logistics, healthcare, public sector and other industries to achieve a performance edge.

We offer competitive fixed salary and on-target earnings as well as a range of corporate benefits which support the lifestyle, professional development, health and learning of our people. Zebra’s culture is encouraging and collaborative where employees are encouraged to learn and grow together. We are excited to hear from you!

Equal Opportunities:

We are committed to offering equal opportunities and an inclusive & diverse working environment.

Therefore we encourage applicants from all sections of the community.

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.

 

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