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Enablement Data Scientist, Integrations & Partnerships

DataRobot

DataRobot

Sales & Business Development, Data Science
Multiple locations
Posted on Jul 3, 2024

Job Description:

DataRobot is the leader in Value-Driven AI, a unique and collaborative approach to generative and predictive AI that combines an open platform, deep expertise and broad use-case experience to improve how organizations run, grow and optimize their business. The DataRobot AI Platform is the only complete AI lifecycle platform that interoperates with an organization’s existing investments in data, applications and business processes, and can be deployed on prem or on any cloud environment. Global organizations, including 40% of the Fortune 50, rely on DataRobot to drive greater impact and value from AI.

As the Data Scientist, Integrations & Partnerships, you will support DataRobot’s partnership ecosystem by developing, providing, and maintaining hands-on expertise in our technical integrations. You will work cross functionally across Product, Product Marketing, and our Customer-Facing Data Science team to (1) educate the Sales team on the technical capabilities of our integrations as well as caveats, (2) identify and surface solvable technical friction and unexpected opportunities or synergies in service of product development, and (3) serve as an integrations SME for product marketing’s joint value propositions.

Our technical partnerships are a key area of DataRobot’s growth and revenue potential, and we expect you to own this enablement category. That involves proactively identifying concepts that require enablement, designing effective assets for the field, and measuring their impact. Our ideal candidate is excited to learn new technologies, unafraid of diving deep into documentation, and energized by working across multiple teams and functions.

Key Responsibilities:

  • Conduct hands-on workflow proofs with tech partnerships (e.g. AWS, Azure, GCP, Databricks, Snowflake, ThoughtSpot, Qlik, Tableau) and document your findings.

  • Create assets, such as hands-on labs, to educate the Sales team on the technical aspects of these integrations.

  • Establish, with repeatable methodology, an impact measurement of your workflows.

  • In partnership with PMM, communicate with Product about integration roadmaps, potential integration opportunities, and limitations/frictions observed during hands-on work.

  • Establish and maintain a Slack support presence, particularly for Sales and Support integration questions.

  • Manage and surface volunteer contributions as available from the field.

  • Support Sales and Support teams in sales, retention, and expand opportunities with regards to technical alliances.

  • Collaborate with your Competitive Intelligence teammate on overlapping technical efforts in AWS, Azure, Databricks, GCP, and Snowflake, both to scale shared efforts by reducing workflow duplication, and to minimize vendor costs.

Knowledge, Skills & Abilities:

  • Strong understanding of data science, machine learning, and AI technologies.

  • Hands-on experience with one or more of the following cloud providers: AWS, GCP, or Azure.

  • Fluent in Python and SQL.

  • Ability to collaborate effectively with cross-functional teams in a fast-paced, dynamic environment.

  • Exceptional attention to detail when reviewing technical documentation, bug hunting, and generating internal documentation.

  • Excellent stakeholder management and relationship-building skills.

  • Exceptional communication and presentation skills, with the ability to translate technical concepts for diverse audiences.

  • Strong project management and organizational skills.

  • Some travel may be required (e.g., to AWS re:Invent).

Good to have:

  • Prior experience in a SaaS or technology-focused company.

  • Experience in the healthcare, retail, and/or financial services industries.

  • Familiarity with industry trends and emerging technologies in data science and AI.

  • Experience in developing and executing strategic partnerships and alliances.

The talent and dedication of our employees are at the core of DataRobot’s journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees’ well-being at the core. Here’s what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!

DataRobot Operating Principles:

  • Wow Our Customers
  • Set High Standards
  • Be Better Than Yesterday
  • Be Rigorous
  • Assume Positive Intent
  • Have the Tough Conversations
  • Be Better Together
  • Debate, Decide, Commit
  • Deliver Results
  • Overcommunicate


Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We’d love to have a conversation with you and see if you might be a great fit.

All U.S. DataRobot employees must be fully vaccinated against COVID-19. If there is a medical, religious, or other legally protected reason that prevents you from receiving an available COVID-19 vaccination, and you are selected as a candidate for consideration, we have a process in place to evaluate requests for accommodation.

DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information.

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