Member of the Technical Staff - Data Scientist
Kiso Technology is looking for a data scientist with expertise and practical, industry-based experience in forecasting, predictive and/or time-series modeling and a demonstrated ability to drive outcomes through strong communication and bias to action. Software engineering experience is a huge plus.
About Kiso
Kiso Technology is a firm based in San Francisco that develops algorithms, models, and software systems to solve complex problems in a variety of domains. Clients range from early-stage startups to some of the largest companies in the world.
About the role
We are looking for a data scientist with expertise and practical, industry-based experience in forecasting, predictive and/or time-series modeling and a demonstrated ability to drive outcomes through strong communication and bias to action. Software engineering experience is a huge plus.
As a Member of the Technical Staff, you will join a team with deep expertise in machine learning, optimization, data science, and software engineering. You will work on small, focused project teams (typically 2-4 people) to address complex strategic questions and deliver end-to-end solutions to ambiguous questions like “How can we manage our inventory more efficiently?” and “Why are we losing customers?”
Our technical staff own this entire process—from framing the problem to building a solution and ensuring it drives lasting impact. Some examples of solutions we might deliver:
Coherent hierarchical probabilistic forecasting model, for thousands of products with intermittent demand
Real-time delivery route planner, accounting for traffic conditions and live order changes
Core recommender system for a dating app
LLM-based agent to answer customer questions, given a proprietary data lake with unstructured conversations
While our work is highly collaborative, you do need to be self-directed and able to work independently.
We are looking for:
Strong skills and professional experience in at least one of:
software engineering in a collaborative, production environment
applied math, e.g., AI, operations research, statistics, probability, and/or machine learning
Excellent communication skills, can distill technical concepts for non-technical audiences
Comfort in a client-facing role
Nice to have:
PhD in computer science, statistics, applied mathematics, or a related field
Successful track record leading large-scale technical projects, especially in a customer-facing role
Deep expertise and/or thought leadership in a technical field (e.g. influential writing, strong publication record, professorship)
This is an in-person role, based out of our office in San Francisco. We offer relocation assistance for new employees and highly-competitive compensation.
The base salary range for this role is $110,000-$400,000.
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Team photo from our offsite earlier this year!
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