Data Scientist, Kumo
EMEA
+ Stock
More information about location
Predictive AI platform
Open for applications
Predictive AI platform
21-100 employees
Open for applications
+ Stock
More information about location
21-100 employees
Company mission
To help data teams solve the world's toughest problems.
Role
Who you are
- 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, motivative, 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 (eg. Snowflake, Databricks, DBT), BI tools (eg. 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
What the job involves
- As a Data Scientist for EMEA, you will be a technical liaison for Kumo’s customers and prospects in the EMEA 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
- 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 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
Salary benchmarks
Our take
Kumo offers an AI-powered platform to help businesses tackle predictive problems, with a specific focus on graph neural networks. Founded by several AI executives from companies including Pinterest, Airbnb and LinkedIn, the company certainly has strong foundations to build on.
Kumo can be used for lots of different use cases, including new customer acquisition, customer retention, personalization, abuse detection and financial crime detection. The company has attracted considerable interest from enterprises, largely because these companies spend millions of dollars storing data, and yet are unable to effectively leverage most of it due to the time, effort, and skill required.
Having brought in series B funding in 2022, the company is moving to bring its AI technology to more companies, whilst investing in R&D efforts to expand its platform and services. Lately, developments have included the announcement that Kumo can now run deep learning directly in the Data Cloud with Snowpark Container Services (eliminating data exfiltration and security concerns), as well as the ability to deploy Kumo on Databricks' Lakehouse Apps without ever leaving the ecosystem.
Steph
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
31% employee growth in 12 months
Company
Funding (2 rounds)
Sep 2022
$18m
SERIES B
Apr 2022
$18.5m
SERIES A
Total funding: $36.5m
Company benefits
- Gold Plan Health Insurance
- Flexible Spending Accounts for Health and Dependent Care
- Fully remote and hybrid work as an option
- Dental & Vision Coverage
- Unlimited discretionary time off
- South Bay office, 0.4 miles from Mountain View Caltrain stop
- 401k Plans
- Full-week shutdown at end-of-year
- Family Leave
Company values
- Customer-Centric - We have seen firsthand the incredible effort to implement a single, production-quality predictive model. With Kumo, the team aims to solve this problem and make graph learning easy to use, so any business (and person and user) can leverage the power of graph-based AI in minutes
- Optimistic About Innovation - We are optimistic by nature, and in particular about the massive potential of AI and graph learning. The possibility and promise of GNNs, rendered easy and usable for any enterprise to use, motivates our work
- Better Together - We believe enterprise data is inherently highly connected, and that insight about connectedness powers our AI tech. We also believe that the best teams are highly connected. We are all nodes in the network; we are better together
Company HQ
Old Mountain View, Mountain View, CA
Articles
Leadership
Vanja Josifovski
(CEO & Co-Founder)Previously served as the CTO for Airbnb and Pinterest. Also worked as a Technical lead at Google.
Hema Raghavan
(Co-Founder)Previously served as a Senior Director of Engineering for LinkedIn and as a Scientist for Yahoo!
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