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Data Science Intern

Role overview

Qualifications

  • Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Data Engineering, Computer Science, or a related quantitative field.
  • Experience with SQL and cloud-based data platforms, preferably Google Cloud Platform.
  • Experience with statistical programming languages and machine learning frameworks, including Python, R, SAS, TensorFlow, or PyTorch.
  • Strong analytical, organizational, communication, and problem-solving skills.

Responsibilities

  • Assist in developing and maintaining reusable components for data transformation, feature extraction, and model deployment using cloud technologies.
  • Support the development and deployment of machine learning models and analytics pipelines.
  • Collaborate with internal teams to develop data-driven solutions for business and product needs.
  • Assist with ad-hoc analyses and identify opportunities to improve or standardize recurring analytical processes.

Key facts

Hard skills

Other skills

  • Analytical Skills
  • Organizational Skills
  • Communication
  • Collaboration

About the company

Inmar Intelligence logo

Inmar Intelligence

Computer Software / SaaS

Welcome to Inmar Intelligence, recently certified a Great Place to Work®! Through curiosity and the intelligent use of data and technology, we make businesses smarter to improve consumers’ lives. We’ve been a partner to brands, retailers and healthcare organizations for over 40 years — designing, building and operating reliable, dynamic solutions to create greater efficiencies and enable connections that unlock the potential of sophisticated marketplaces. $120B of commerce runs through our market-driven platforms each year. Insights created through Analytics, AI, and Machine Learning drive faster actions and more successful outcomes — none of which would be possible without happy, healthy, motivated talented team members. Our supportive, flexible, rewarding work culture gives team members the power and independence to solve challenges, capitalize on opportunities, and help businesses improve the lives of consumers.

Company details

Company typeLarge
IndustryComputer Software / SaaS
Company size1001 - 5000

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Job description

About Inmar Intelligence

Inmar Intelligence provides data-driven technology and solutions that help businesses operate more efficiently across retail, healthcare, and digital commerce. Our teams work collaboratively to solve complex business challenges through technology, analytics, and innovation.


At Inmar, we foster a High Challenge, High Support environment grounded in collaboration, continuous improvement, and a Customer First mindset.


About This Opportunity

Inmar Intelligence is seeking a part-time Data Science Intern to support the MarTech Data Science team. This position provides an opportunity to gain practical experience while contributing to ongoing data science and analytics initiatives.


The MarTech Data Science team designs, develops, and deploys data science and engineering solutions supporting Inmar's media and incentives businesses. The intern will assist with data pipelines, machine learning models, and analytics solutions that support business needs and product development.


What You'll Do

  • Assist in developing and maintaining reusable components for data transformation, feature extraction, and model deployment using cloud technologies, primarily Google Cloud Platform.
  • Support the development and deployment of machine learning models and analytics pipelines.
  • Collaborate with internal teams to develop data-driven solutions for business and product needs.
  • Assist with ad-hoc analyses and identify opportunities to improve or standardize recurring analytical processes.
  • Utilize AI tools to support coding, analysis, and problem-solving while following appropriate validation and review practices.
  • Contribute to ongoing team projects and technical documentation as needed.

Your Qualifications

  • Currently pursuing a Bachelor's or Master's degree in Data Science, Statistics, Data Engineering, Computer Science, or a related quantitative field.
  • Experience with SQL and cloud-based data platforms, preferably Google Cloud Platform. Experience with AWS, Azure, or Spark is also relevant.
  • Experience with statistical programming languages and machine learning frameworks, including Python, R, SAS, TensorFlow, or PyTorch.
  • Familiarity with AI-assisted coding and problem-solving tools, including appropriate validation and review practices.
  • Strong analytical, organizational, communication, and problem-solving skills.
  • Ability to work independently and collaboratively with cross-functional teams.
  • Ability to work part-time onsite in Winston-Salem, NC, while enrolled in an academic program.

Why Intern at Inmar Intelligence

This part-time internship provides an opportunity to apply academic knowledge in a professional setting while gaining experience with data science, machine learning, and cloud-based technologies.


Interns work alongside experienced professionals, contribute to ongoing projects, and develop technical and professional skills through practical experience and collaboration.


The position is designed to accommodate continued academic enrollment while providing meaningful work experience during the school year.

We are an Equal Opportunity Employer, including disability/vets.

Recruitment Fraud Notice: Recruitment fraud is an increasingly common scam where individuals pose as employers to offer fictitious job opportunities. Scammers sometimes impersonate Inmar recruiters on LinkedIn and other channels. We will never ask for payment or sensitive personal information during the hiring process. Verify any role on our official Workday Careers site and learn how to spot scams in our full notice.

This position is not eligible for student visa sponsorship, including F-1 OPT or CPT. Candidates must have authorization to work in the U.S. without the need for employer sponsorship now or in the future.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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