Data Scientist, Advanced
Company: Zebra Technologies
Posted on: November 26, 2022
Remote Work: Yes
Zebra 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 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. Position Overview: The
Data Scientist, Advanced Position 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. This position is 100% remote and the
ideal candidate can be based anywhere in the United States.
- Establishes requirements for highly complex data science
constructs, statistical ML models, and decision support systems.
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.
- 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.
- 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
- 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
- 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
- Network with key contacts outside own area of expertise,
interacts with management 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 others.
- Bachelor's in Computer Science, Statistics, Economics,
Mathematics, or related discipline. Master's degree or Ph.D
- Preferably 8+ years' experience as Data Scientist OR in related
field (Statistics / Operation Research) or as System Architect /
- Experience in solving large-scale real-world industry problems,
preferably in collaboration with cross-functional,
- 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,
- Familiarity with NoSQL databases, graphical analyses, and
large-scale data processing frameworks (e.g. Apache Spark)
- Solid understanding of data structures, software design and
- Ability to work independently and take initiative, but also a
co-operative team player Zebra is an equal opportunity/affirmative
action employer committed to a diverse and broad 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 . The EEO is the Law poster is available here: The EEO is the
Law poster supplement is available here: 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
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 111200.00 - USD 166800.00 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.
Keywords: Zebra Technologies, Springfield , Data Scientist, Advanced, Other , Springfield, Illinois
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