Data Scientist, Advanced

Remote Work: Yes

Helps translate high level business problems into actionable and tangible Data Science projects. Analyzes, designs, develops, implements and maintains data science constructs, algorithms, programs, Statistical / Machine Learning Models, decision support system, Artificial/Augmented Intelligence systems using structured, unstructured, diverse “big data” sources of from measurement systems, IoT, human observations to provide real life business problem solutions
and product features/enhancements. Work is accomplished without considerable direction. Exerts significant latitude in determining objectives of assignment to create tangible impact in driving success factors and great experience for our customers and product users.

•  Establishes requirements for highly complex data science constructs, statistical ML
  models, decision support systems and may lead a team for the same. Ensure correct
  constructs and “most suitable” models are incorporated in solutions, projects and
  products.
• Designs, Architects, Integrate highly complex data science projects. Completes all
  phases from data acquisition to incorporating into product/solutions. Follows
  through on all-in-process, final inspection and post production needs such as regular
  revision of the models / constructs for consistent fulfillment of business objectives.
• Drives reviews of the data science constructs, models and its implementation.
  Develops and applies customizations, improvements based on features data
  applicability and availability, constraints and consistent fulfillment of business
  objectives.
• Creates new data science constructs, models, algorithms, technologies, and solutions
  based on novel and unique ideas. Ensure that new ideas and methodologies are
  documented for use by Data Science and product engineering teams
•  Uses status as a knowledge leader in data sciences and functional knowledge across
  multiple related disciplines and program management to provide data science and
  decision support systems leadership to a given program.
• Defines requirements, data science constructs and may design complex new models
  and decision support systems to aid in analysis and solving on complex business
  problems.
• Initiates cross-company collaboration and develops positive relationships with other
  disciplines of engineering, system integration, professional services, solutions
  architects etc.
• Exercises judgement (with broadly defined policies and practices) in selecting
  methods, techniques and evaluation criteria for obtaining results. Make effective
  decisions for “Build VS Buy” by using industry standard auto ML models,
  Commoditized Statistical and relevant ML models, AI models and algorithms for
  optimized solution
• Makes use of Rapid Development Tools (Business Intelligence Tools, Graphics
  Libraries, Data modelling tools) to effectively communicate research findings using
  visual graphics, Data Models, ML model features, Feature engineering /
  transformations to relevant stakeholders
• May coordinate the activities of other personnel. Mentor, guide, leads and develop
  Data Scientists, Specialists within the team. Interacts with Cross-Functional teams to
  identify questions and issues for data engineering, ML models feature engineering.
• Network with key contacts outside own area of expertise, interacts with management
  and senior customer personnel on matters requiring coordination across
  organizational lines. Represent the organization as the principal customer contact
  and often performs project leadership. Interprets and communicates foresights,
  insights and findings from data science projects to product managers, service
  managers, business partners and business managers.
• Drive 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

Minimum Requirements:

• B.Tech/M.Tech/PhD in CS/ML/Statistics
• Preferably 8+ years’ experience as Data Scientist OR in
  related field (Statistics / Operation Research) OR as System
  Architect / Enterprise Architect
• Design and conduct Analysis/Experiments (Plan Analysis and
  address competing explanations,

Preferred Requirements:

• Determine best way to evaluate results,
• Explore structured and unstructured data appropriately,
• Apply appropriate algorithms,
• Clearly document and articulate findings,
• Incorporate Analysis into pipelines and pipelines into
  business/Engineering stack (Read/write data to/from any
  format / location,
• incorporate complex matching and filtering,
• Make work compatible with/suitable for engineering stack,
• Discover needs of business, Navigate Business organization
  structure, package technical work for diverse audiences),
• Build the profession (Mentor/Coach Junior Data scientists,
  enable/upskill citizen data scientists)
• Problem Solving / Critical Thinking,
• Good business intuition,
• Programming and Coding (Python / R),
• Mathematics and Statistics (Equivalent to Graduate level Stat 101 and Math
  101), Machine Learning / Deep Learning / AI, Communication/Appropriate articulation, Data Architecture, Risk Analysis /Systems Engineering

Come join the herd!

Zebra is an equal opportunity/affirmative action employer committed to a diverse and inclusive workplace All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identify, 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 workplace.accommodations@zebra.com.

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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.

Zebra is a federal contractor and is committed to an alcohol and drug free workplace. As a result, all U.S. based employees are subject to the Drug and Alcohol Free Workplace Policy and Procedure.

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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: USD 120400.00 - USD 180600.00 Yearly

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 achievement. In 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.