Data Scientist, I

Remote Work: Hybrid

Overview:

At Zebra, we are a community of innovators who come together to create new ways of working to make everyday life better. United by curiosity and care, we develop dynamic solutions that anticipate our customer’s and partner’s needs and solve their challenges.

Being a part of Zebra Nation means being seen, heard, valued, and respected. Drawing from our diverse perspectives, we collaborate to deliver on our purpose. Here you are a part of a team pushing boundaries to redefine the work of tomorrow for organizations, their employees, and those they serve.

You have opportunities to learn and lead at a forward-thinking company, defining your path to a fulfilling career while channeling your skills toward causes that you care about – locally and globally. We’ve only begun reimaging the future – for our people, our customers, and the world.

Let’s create tomorrow together.

Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement

Responsibilities:

• Interacts with product and service teams to identify questions and issues for data analysis and experiments.
• Supports the development and coding of software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.
• Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.
• Support the creation of analytical models with emphasis on predicative and prescriptive analytics.
• Support creation of visual graphics to adequately analyze historical data and display trending
• Support evaluation of 3rd party analytics algorithms and analytics framework
• Support Integration of statistical models into Zebra’s platforms, products or services by collaborating with software development team
• Perform data analysis of customer specific data to help diagnosis customer specific issues
• Evaluate data collected to improve analytics.
• Evaluate new data to collect for products or services under consideration for development or in development cycle
  
  

Qualifications:

• Bachelors degree, Masters or PhD in statistics, mathematics, computer science or related discipline preferred
• 0-2 years
• Statistics modeling and algorithms
• Machine Learning experience including deep learning and neural networks, genetics algorithm etc
• Working knowledge with big data – Hadoop, Cassandra, Spark R. Hands on experience preferred
• Data Mining
• Data Visualization and visualization analysis tools including R
• Work/project experience in sensors, IoT, mobile industry highly preferred
• Excellent written and verbal communication
• Comfortable presenting to Sr Management and CxO level executives
• Self-motivated and self-starting with high degree of work ethic
  
  

Position Specific Information

Travel Requirements (as a % of time): <10%

Able to telework? Yes/no – if yes, % of time and expectations while teleworking Yes, 70%. To visit Zebra site 2-3 days a week or every other week

Personal Protective Equipment (PPE) Required (safety glasses, steel-toed boots, gloves, etc.): No

U.S. Only – Frequency Definitions for Physical Activities, Environmental Conditions and Physical Demands:

Never – 0%

Occasionally - 0-20 times per shift or up to 33% of the time

Frequently - 20-100 times per shift or 33-66% of the time

Constantly - Over 100 times per shift or 66-100% of the time

Physical Activities (all U.S. only jobs):

Enter in N, O, F or C as applicable Enter in Frequency

(N)Never, (O)Occasionally, (F)Frequently or (C)Constantly

Ascending or descending ladders, stairs, scaffolding, ramps, poles and the like.

Working from heights such as roofs, ladders, or powered lifts.

N

N

Moving self in different positions to accomplish tasks in various environments including awkward or tight and confined spaces. N

Remaining in a stationary position, often standing or sitting for prolonged periods.

Stooping, kneeling, bending, crouching, reaching, pushing/pulling.

N

N

Moving about to accomplish tasks or moving from one worksite to another.

N

Adjusting or moving objects up to __ pounds in all directions. N

Communicating with others to exchange information. F

Repeating motions that may include the wrists, hands and/or fingers. F (typing)

Operating machinery and/or power tools. N

Operating motor vehicles, industrial vehicles, or heavy equipment. N

Assessing the accuracy, neatness and thoroughness of the work assigned. F

Environmental Conditions (U.S. only):

Enter in N, O, F or C as applicable Enter in Frequency

(N)Never, (O)Occasionally, (F)Frequently or (C)Constantly

Exposure to extreme temperatures (high or low). N

Outdoor elements such as precipitation and wind. N

Noisy environments. N

Other hazardous conditions such as vibration, uneven ground surfaces, or dust & fumes. N

Small and/or enclosed spaces. N

No adverse environmental conditions expected. N

Physical Demands (U.S. only):

Check only one below Check only one below

Sedentary work that primarily involves sitting/standing. X

Light work that includes moving objects up to 20 pounds.

Medium work that includes moving objects up to 50 pounds.

Heavy work that includes moving objects up to 100 pounds or more (team lift)

Must be able to see color.

To protect candidates from falling victim to online fraudulent activity involving fake job postings and employment offers, please be aware our recruiters will always connect with you via @zebra.com email accounts. Applications are only accepted through our applicant tracking system and only accept personal identifying information through that system. Our Talent Acquisition team will not ask for you to provide personal identifying information via e-mail or outside of the system. If you are a victim of identity theft contact your local police department.