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Artificial Intelligence Scientist, Senior

Remote: 
Full Remote
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Master’s or Ph.D in related field., 5+ years’ experience in data science, machine learning, or software engineering., Extensive knowledge in statistical programming, machine learning approaches, and data analysis packages., Experience with time series forecasting and machine learning packages., Retail and CPG industry familiarity, cloud computing and experience with large-scale data processing preferred..

Key responsabilities:

  • Develop production level machine learning software.
  • Optimize and transform existing software for efficiency.
  • Collaborate cross-functionally and propose solutions.
  • Mentor less experienced peers and drive innovation.
  • Participate in all phases of software development lifecycle.
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Zebra Technologies
5001 - 10000 Employees
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Job description

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Your missions

Remote Work: Yes

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.

The Senior Artificial Intelligence Scientist will be part of AI product development team to help develop our AI suite of products. This role will also be responsible for building production ready AI products that are optimized for speed, reliability and scale using Pyspark and Python. This role will be a combination of

machine learning, software development and machine learning engineering.

Responsibilities:

  • Develop production level machine learning software using PySpark and Python
  • Convert proof-of-concepts and feature requests into production ready code.
  • Optimize and transform existing software for speed, reliability, and scale.
  • Integrates state-of-the-art machine learning algorithms as well as the development of new

methods.

  • Collaborate cross-functionally with data scientists, data engineers, product managers, and other

stakeholders to identify gaps and issues in the AI product suite and propose solutions.

  • Participate in all phases of the software development lifecycle including design, coding, unit

testing, and documentation for both new and existing pieces of software.

  • Mentors, guides, and indirectly leads less experienced Artificial Intelligence Scientist peers.
  • Drives innovation by fostering open, high energy, collaborative environment; lead participation in

innovation summit and expos, recommend relevant training and conferences for employees to

attend, publish paper and patent disclosures.

Qualifications:

Required:

  • Master’s or Ph.D in mathematics, statistics, computer science, computer engineering or related field.
  • 5+ years’ experience in data science, machine learning, or software engineering required.
  • Knowledge of statistical programming techniques and languages (e.g., Python, PySpark).
  • 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, Spark MLlib).
  • Extensive knowledge and experience with time series forecasting.
  • Prior experience with machine learning packages (e.g. scikit-learn, TensorFlow, Keras, PyTorch).

Preferred:

Retail and CPG industry experience desired.

Experience using cloud computing (e.g. Azure, AWS, Google Cloud Platform).

Familiarity with large-scale data processing frameworks (e.g. Apache Spark) and

workflow orchestration tools (e.g., MLFlow, Argo).

Solid understanding of data structures, object-oriented software design, and architecture.

Ability to work independently and take initiative, but also a co-operative team player.

Ability to telework.

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 .

Know Your Rights:

https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf

Cono zc a sus Derechos:

https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRightsSp_10_20.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.

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.

To all recruitment agencies: Zebra does not accept agency resumes. Please do not forward resumes to Zebra employees or any other team members. Zebra is not responsible for any fees related to unsolicited resumes and direct engagement with Zebra employees.

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.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
Check out the description to know which languages are mandatory.

Hard Skills

Soft Skills

  • verbal-communication-skills
  • analytical-skills
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