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Artificial Intelligence Scientist, Principal
ziprecruiterFrisco, Texas, US- Promoted
Senior Business Intelligence Analyst
FinThrivePlano, TX, United States- Promoted
- Promoted
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Artificial Intelligence Scientist, Principal
Zebra TechnologiesFrisco, Texas, US- Promoted
Business Intelligence Engineer
Insight GlobalTX, United States- Promoted
Artificial Intelligence Scientist, Principal
Zebra Technologies CorporationFrisco, TX, United States- Promoted
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Lockheed MartinTexasArtificial Intelligence Scientist, Principal
ziprecruiterFrisco, Texas, US- Full-time
Job Description
Remote Work : Yes
Scroll down to find an indepth overview of this job, and what is expected of candidates Make an application by clicking on the Apply button.
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 Artificial Intelligence Scientist on the product development team develops our AI suite of products. This team is responsible for building production ready AI products that are optimized for speed, reliability, and scale using PySpark and Python. This role is a combination of machine learning software development and machine learning engineering.
This is a remote position.
Responsibilities :
- Provide thought leadership with novel approaches to solving new and existing business problems.
- Support the development of new ML techniques and algorithms through data analysis and proof of concepts.
- 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.
- Integrate 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.
- Mentor, guide, and indirectly lead less experienced Artificial Intelligence Scientist peers.
- Drive innovation by fostering an open, high energy, collaborative environment; lead participation in innovation summit and expos, recommend relevant training and conferences for employees to attend, publish papers and patent disclosures.
Note : The statements herein are intended to describe the general nature and level of work being performed by employees and are not to be construed as an exhaustive list of responsibilities, duties, abilities, and skills required of personnel so classified.
Qualifications :
o Master’s or Ph.D in mathematics, statistics, computer science, computer engineering, operations research, or related field.
o 12+ years experience in data science, machine learning, or software engineering required.
o Knowledge of statistical programming techniques (e.g., Python, PySpark).
o 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).
o Prior experience with machine learning packages (e.g. scikit-learn, TensorFlow, Keras, PyTorch) and / or optimization packages (e.g. Pyomo).
o Familiarity with time series forecasting.
o Retail and CPG industry experience desired.
o Experience using cloud computing (e.g. Azure, AWS, Google Cloud Platform).
o Familiarity with large-scale data processing frameworks (e.g. Apache Spark) and workflow orchestration tools (e.g., MLFlow, Argo).
o Solid understanding of data structures, object-oriented software design, and architecture.
o Ability to work independently and take initiative, but also a cooperative team player.
Come join the herd!
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