Data Science Specialist

1 week ago

Austin, Texas, United States Kumo Full time
About the Role

As a Data Science Specialist at Kumo, you will be responsible for discovering the technical needs of customers in North America and showcasing how Kumo can address them. Your primary objective is to craft and tell a story of how Kumo can deliver value to their organization.

You will work closely with customers and Account Managers to put together a plan to solve machine learning problems using Kumo. To achieve this, you will leverage your industry knowledge and data science expertise to help customers craft the solution architecture and machine learning approach for their use cases.

The successful candidate will maintain relationships with technical champions, ensuring continued success of existing models as well as expansion to new use cases.

Key Responsibilities:
  • Be a Kumo platform superuser - understand the product in and out and how it should be used to solve customer problems.
  • Lead the technical discovery to understand the alignment between what Kumo offers and prospective customer expectations.
  • Conduct product demos of Kumo solving ML problems in various verticals, including finance/fraud, growth/marketing, personalization/commerce, and forecasting/optimization.
  • Guide the customer to achieve meaningful wins on high-impact ML problems, by leveraging your problem-solving skills, data science knowledge, and industry experience.
  • Be hands-on, to help customers overcome challenges they may encounter in achieving sufficient model performance, or integrating Kumo into their production systems.
  • Lead architecture reviews and security assessments.
  • Maintain meaningful relationships with technical influencers and champions within ML teams, both pre and post-sale.
  • Educate current Kumo users on how to successfully use our product, best practices, etc. so that they increase usage across a larger and larger number of internal workloads.
  • Provide market and customer feedback to the Product and Engineering team to refine feature specifications and the product roadmap.
  • Create broader processes for each customer to go through to ensure we can drive repeatable successes in PoCs.
  • Generate Kumo platform educational materials to disseminate amongst current users or prospects.
Your Foundation:
  • A genuine satisfaction in solving customer ML problems and helping them deliver value to the business.
  • At least 2 years of relevant professional experience working with external customers in deploying AI/ML/data science solutions in production for customers.
  • Proficiency with ML and data science fundamentals, at the level of a bachelor's/graduate program.
  • Persuasive communication - ability to present, speak, demo well to customer stakeholders and convince them to partner with Kumo.
  • A self-starter, motivative, resourceful, and persistent individual who can structure complex problems, take the initiative, and identify creative solutions to deliver outcomes in the face of obstacles.
  • Knowledge of common data science tools around SQL-based data warehousing (e.g., Snowflake, Databricks, DBT), BI tools (e.g., Tableau, Looker), workflow orchestration, and ML Ops.
  • Excellent spoken and written English skills.
  • Fluency with scripting in Python.
  • Ability to work effectively across time zones.

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