Data Scientist, Senior
Company: Zebra Technologies
Location: Salem
Posted on: August 5, 2022
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Job Description:
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. Job Summary: The Data
Scientist, Senior position designs, develops, programs and
implements Machine Learning Models (Clustering, Classification or
Regressions models), Implements Artificial/Augmented Intelligence
systems, Performs Statistical Modelling and Measurements by
applying data engineering, feature engineering, statistical
methods, ML modelling and AI techniques on structured,
unstructured, diverse "big data" sources of machine acquire data to
generate actionable insights and foresights for real life business
problem solutions and product features development and
enhancements.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. The Data Scientist Senior 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 + Identifies meaningful foresights
based on predictive ML models from large data and metadata sources;
interprets and communicates foresights, insights and findings from
experiments + 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 + 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
Cross-Functional teams + Evaluates and makes recommendations to
evolve data collection mechanism for Data capture to improve
efficacy of machine learning models prediction + Mentors,
guides,and indirectly leads less experienced Data Scientist peers +
Drives innovation by fostering open, high energy, collaborative
environment Qualifications: Minimum Qualifications: + Bachelor's in
Computer Science, Statistics, Economics, Mathematics, or related
discipline. Master's degree preferred. + Strong background in
statistics, data science, deep learning and programming necessary.
5+years experience required. + Experience in solving large-scale
real-world industry problems, preferably in collaboration with
cross-functional, multi-disciplinary teams + 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, 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 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
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. Salary: USD 88348.80 Yearly - USD 132523.20
Yearly
Keywords: Zebra Technologies, Salem , Data Scientist, Senior, Other , Salem, Oregon
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