Data Scientist (London)...

Come and change the world of AI with the Kumo team!
Companies spend millions of dollars to store terabytes of data in
data lakehouses, but only leverage a fraction of it for predictive
tasks. This is because traditional machine learning is slow and
time consuming, taking months to perform feature engineering, build
training pipelines, and achieve acceptable performance. At Kumo, we
are building a machine learning platform for data lakehouses,
enabling data scientists to train powerful Graph Neural Net models
directly on their relational data, with only a few lines of
declarative syntax known as Predictive Query Language. The Kumo
platform enables users to build models a dozen times faster, and
achieve better model accuracy than traditional approaches. As a
Data Scientist in London, you will be a technical liaison for
Kumo’s customers and prospects in the UK region. Your objective is
to discover the technical needs of customers and showcase how Kumo
can address them (or explain why you think it won’t). With this
information, you will craft and tell a story of how Kumo can
deliver value to their organization. Together with the customer and
Account Manager, you will put together a plan to solve the
customer’s machine learning problems using Kumo. You will leverage
your industry knowledge and data science expertise to help the
customer craft the solution architecture and machine learning
approach for their use cases, and guide them to achieve technical
wins. You will maintain relationships with technical champions,
ensuring continued success of existing models as well as expansion
to new use cases. This is a fantastic opportunity for someone with
deep expertise in machine learning and passion for data science to
grow into a confident leader within a dynamic and innovative
environment. The Value You Will Add: - 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 a variety of 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 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: - Someone who finds genuine
  satisfaction in solving customer ML problems and helping them
  deliver value to the business. - 5+ 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
  bachelors/graduate program. - Persuasive communication – ability to
  present, speak, demo well to customer stakeholders and convince
  them to partner with Kumo! - Self-starter, motivated, resourceful
  and persistent: demonstrated ability to 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. Teammates will be located from PT to
  CET time zones. Customers will be in GMT/CET, while occasionally as
  far as SGT. ------------------------- Benefits: - Stock -
  Competitive Salaries - Medical Insurance - Dental Insurance We are
  an equal opportunity employer and value diversity at our company.
  We do not discriminate on the basis of race, religion, color,
  national origin, gender, sexual orientation, age, marital status,
  veteran status, or disability status. #J-18808-Ljbffr