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Data Scientist, Product Management

Data Scientist, Product Management
by Admin on 05-09-2022 at 3:00 pm

  • Full Time
  • Troy, MI

Website Altair

Do you like a challenge, are you a complex thinker who likes to solve problems? If so, then you might be the new Altairian we are searching for. At Altair, your curiosity matters. We pride ourselves on a business culture that enables open, creative thinking, and we deeply value our employees and their contributions towards our clients’ success, as well as our own.

Job Summary:

As a Data Scientist, you will be part of the Product Management team, working on developing of features for the Altair’s Data Analytics Platform.

What You Will Do:

  • Researching industry best practices for features to be implemented in the Data Analytics platform, with a focus on Machine Learning and MLOps Features
  • Developing requirements and prototypes of the above Machine Learning and MLOps Features
  • Ensuring that new features fit within the architecture of the Data Analytics Platform
  • Working closely with multiple developer teams to productize features in Data Analytics platform, ensuring incremental value delivered with each software development increment

What You Will Need:


  • Advanced Python, SQL and R (optional), including experience with data processing and ML pipelines
  • Excellent knowledge of the landscape of data analytics tools, including open source tools (e.g. Python sklearn/Pandas, Keras, Jupyter, R, Docker) as well as enterprise platforms.
  • 2+ years experience building models that have achieved business value or reached production
  • Working familiarity with MLOps tooling and concepts

Soft skills:

  • Able to work in a fast-paced environment
  • Can collaborate with others and build relationships with multiple teams, including developers, designers, subject matter experts and stakeholders
  • Empathy to translate end-user needs into valuable features
  • Excellent communication skills – able to communicate complex technical features to non-technical teams and stakeholders. Not afraid to ask for help when needed


  • Experience working with big data
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To view the job application please visit

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