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Machine Learning Data Scientist and Engineer

Date: Nov 20, 2020

Location: Birmingham, AL, US, 35242

Company: EBSCO Industries Inc

Within the hunting industry, Moultrie is at once an iconic and progressive brand (www.moultriefeeders.com). Founded by Dan Moultrie in 1979, Moultrie has maintained the leading market-share position in both the trail camera and deer feeder product categories for most of its history. Moultrie is part of PRADCO Outdoor Brands (www.pradcooutdoorbrands.com), a leading manufacturer and marketer of major hunting and fishing products. Hunting brands include: Moultrie, Summit, Texas Hunter Products, Whitetail Institute, Knight & Hale and Code Blue. Fishing brands include more than 20 brands, including Rebel, YUM, Booyah, Lindy and Bomber Saltwater Grade. POB is a division of EBSCO Industries, Inc. (www.ebscoind.com), a privately held, family owned, diversified company based in Birmingham, AL. As a member of the EBSCO family of companies, PRADCO team members participate in a selection of outstanding benefits, including: EBSCO Profit Sharing Trust, Excellent Medical/Dental/Drug/Vision benefits, and many other benefits.

 

 

 

 

Machine Learning Data Scientist and Engineer

 

Moultrie Mobile, the fastest growing product segment within PRADCO Outdoor Brands, is looking for a Machine Learning Data Scientist/Engineer! With state-of-the-art technologies and partnerships with Verizon and AT&T, Moultrie Mobile has been a game-changer in the outdoor market. Supporting this revolutionary product is a skilled team of software engineers. This team works within an agile process to develop cutting edge web and mobile solutions. The Machine Learning Data Scientist/Engineer is a critical hire focused delivering new ML and AI capabilities to our products and enhancing the end-user experience for the Moultrie Mobile consumers.

 

On a day-to-day basis you will be developing the algorithms, applications, and platforms that will deliver positive change to our customers. You will apply experience and knowledge in preparing data, training/evaluating models, deploying ML solutions and evaluating performance.

 

Scope & Responsibilities:

 

  • Serve as an ML and data subject matter expert (SME)
  • Analyze, understand, and prepare data for our ML pipelines
  • Engineer and code new ML offerings; i.e., training and test sets for new models targeting live client deploy into an Azure cloud environment
  • Take the initiative to use ML to solve non-obvious business problems outside of current assignment
  • Build prototypes to explore applying ML solutions to Moultrie Mobile opportunities
  • Continuously monitor/improve ML solutions
  • Support, train and coordinate with team members on ML solutions
  • Assist in general software development tasks outside of ML
  • Adhere to technology best practices
  • Demonstrate ownership of developed components from development through production

 

Basic Qualifications:
 

  • BA/BS degree in Computer Science or related technical field or equivalent practical experience
  • 2 years of work or educational experience in ML or AI
  • 1 year of work in C#/.NET software development
  • Experience with Python, pySpark
  • General knowledge of ML, ML Tooling (specifically, but not limited to ML.NET, Azure Machine Learning etc.)
  • General knowledge of data wrangling/preparation and data analysis
  • General knowledge of model selection/training
  • General knowledge of scalable systems
  • Strong problem solving and communication skills

 

Preferred Skills/Experiences:
 

  • Degree in Computer Science, Artificial Intelligence, Machine Learning, or related technical field
  • Experience with image classification and object detection
  • In-depth knowledge of ML algorithms: how they work, their proper use cases, their limitations, etc.
  • Ability to code algorithms presented in research papers in order to test out new discoveries
  • Hands-on experience with Azure services
  • Experience in Agile methodology, Enterprise Agile, LESS, DA(D) or SAFe

  

 

EBSCO Industries, Inc.is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.  EBSCO strictly prohibits and does not tolerate discrimination against employees, applicants, or any other covered persons because of race, color, sex (including pregnancy), age, national origin or ancestry, ethnicity, religion, creed, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.  This policy applies to all terms and conditions of employment, including, but not limited to, hiring, training, promotion, discipline, compensation, benefits, and termination of employment.

EBSCO complies with the Americans with Disabilities Act (ADA), as amended by the ADA Amendments Act, and all applicable state or local law.


Nearest Major Market: Birmingham

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