Come and change the world of AI with the Kumo team!Companies spend millions of dollars to store terabytes of data indata lakehouses, but only leverage a fraction of it for predictivetasks. This is because traditional machine learning is slow andtime consuming, taking months to perform feature engineering, buildtraining pipelines, and achieve acceptable performance. At Kumo, weare building a machine learning platform for data lakehouses,enabling data scientists to train powerful Graph Neural Net modelsdirectly on their relational data, with only a few lines ofdeclarative syntax known as Predictive Query Language. The Kumoplatform enables users to build models a dozen times faster, andachieve better model accuracy than traditional approaches. As aData Scientist in London, you will be a technical liaison forKumo’s customers and prospects in the UK region. Your objective isto discover the technical needs of customers and showcase how Kumocan address them (or explain why you think it won’t). With thisinformation, you will craft and tell a story of how Kumo candeliver value to their organization. Together with the customer andAccount Manager, you will put together a plan to solve thecustomer’s machine learning problems using Kumo. You will leverageyour industry knowledge and data science expertise to help thecustomer craft the solution architecture and machine learningapproach for their use cases, and guide them to achieve technicalwins. You will maintain relationships with technical champions,ensuring continued success of existing models as well as expansionto new use cases. This is a fantastic opportunity for someone withdeep expertise in machine learning and passion for data science togrow into a confident leader within a dynamic and innovativeenvironment. The Value You Will Add: - Be a Kumo platform superuser- understand the product in and out and how it should be used tosolve customer problems. - Lead the technical discovery tounderstand the alignment between what Kumo offers and prospectivecustomer expectations. - Conduct product demos of Kumo solving MLproblems in a variety of verticals, including finance/fraud,growth/marketing, personalization/commerce, andforecasting/optimization. - Guide the customer to achievemeaningful wins on high-impact ML problems, by leveraging yourproblem-solving skills, data science knowledge, and industryexperience. - Be hands-on, to help customers overcome challengesthey may encounter in achieving sufficient model performance, orintegrating Kumo into their production systems. - Lead architecturereviews and security assessments. - Maintain meaningfulrelationships with technical influencers and champions within MLteams, both pre and post-sale. - Educate current Kumo users on howto successfully use our product, best practices, etc. so that theyincrease usage across a larger number of internal workloads. -Provide market and customer feedback to the Product and Engineeringteam to refine feature specifications and the product roadmap. -Create broader processes for each customer to go through to ensurewe can drive repeatable successes in PoCs. - Generate Kumo platformeducational materials to disseminate amongst current users orprospects. Your Foundation: - Someone who finds genuinesatisfaction in solving customer ML problems and helping themdeliver value to the business. - 5+ years of relevant professionalexperience working with external customers in deploying AI/ML/datascience solutions in production for customers. - Proficiency withML and data science fundamentals, at the level of abachelors/graduate program. - Persuasive communication – ability topresent, speak, demo well to customer stakeholders and convincethem to partner with Kumo! - Self-starter, motivated, resourcefuland persistent: demonstrated ability to structure complex problems,take the initiative, and identify creative solutions to deliveroutcomes in the face of obstacles. - Knowledge of common datascience tools around SQL-based data warehousing (e.g., Snowflake,Databricks, DBT), BI tools (e.g., Tableau, Looker), workfloworchestration, and ML Ops. - Excellent spoken and written Englishskills. - Fluency with scripting in Python. - Ability to workeffectively across time zones. Teammates will be located from PT toCET time zones. Customers will be in GMT/CET, while occasionally asfar as SGT. ------------------------- Benefits: - Stock -Competitive Salaries - Medical Insurance - Dental Insurance We arean 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
