# Applied Data Scientist

**Company:** [Bayworks](https://zerogtalent.com/ai-companies/bayworks)
**Location:** San Francisco, CA, US
**Work mode:** On-site
**Employment type:** Full Time
**Salary:** USD 160K–200K/yr
**Listed:** 2026-11-04

[View and apply on Zero G Talent](https://zerogtalent.com/ai-jobs/bayworks/applied-data-scientist-120465)

## Job description

### Overview

Self-driving companies record every mile a car drives. Nobody records how it gets fixed. Repair expertise lives in technicians' heads: undocumented, unstructured, and disappearing as their shortage grows.

Bayworks captures voice and video data as technicians repair cars and verifies the work. Every repair becomes ground truth for how cars get fixed: symptom, diagnosis, fix, outcome. This compounds into a system that runs the dealership's operations and standardizes every repair, making it faster and compliant with manufacturer specifications.

### Why now

In 110 days, we've gone from 0 to 80+ dealerships covering 4,000 cars a day, including a top-50 US dealer group ($3B+ annual revenue) and have hit $XMn ARR. We know what's working.

Now we need to get to 1000 rooftops / $10M ARR. To get there we need someone to own our data: turning every repair we capture into ground truth, and building the models that run on it. The data is there; you turn it into the product.

### World-class team

We're engineers from BITS Pilani.

-   **Kaustubh (Founder & CEO)** built voice AI at Sarvam (India's frontier AI lab) deployed across government and public enterprises, and before that worked in automotive retail lending with carmakers.
-   **Shubham (Founder & CTO)** built the underwriting engine at Navi, a $2B fintech, powering $10M+ in loans every day, and the mobile app at Scapia, which scaled to millions of users.

### Investors

Backed by Y Combinator (F26)

### What you'll work on

-   Turn raw voice, video and dealership data from every repair into structured ground truth: symptom, diagnosis, fix, outcome. This is a hands-on role; what you build ships to production
-   Build the evals that tell us whether our AI got a repair right, and own the metrics we ship against
-   Run experiments across speech and language models and decide what goes to production
-   Build models on repair data that standardize the next repair: the likely diagnosis for a symptom, and what a fix needs to meet manufacturer specifications
-   Spend time in service bays with technicians and feed back what you learn into the product

### You can be a great fit if

-   You've shipped ML or data products to production, not just notebooks
-   You're comfortable with messy real-world data: noisy shop-floor audio, free-text repair notes, inconsistent dealership records
-   You're strong in Python and SQL, and have built evals for LLMs, speech or multimodal models
-   You move fast and don't overthink
-   You care whether the model works in the service bay, not just on the benchmark
-   You want to be at a company that's early enough that your work actually matters

### Compensation

-   **This role includes:**
    -   160K - 200K base salary
    -   Meaningful equity
    -   Medical, dental, and vision insurance
    -   Free DoorDash vouchers for everyday meals

### About the interview

1.  30 mins with the founders
2.  Assignment: a short take-home on a sample of real (anonymized) repair data
3.  Offer

## Other open roles at Bayworks

- [Data Infrastructure Engineer](https://zerogtalent.com/ai-jobs/bayworks/data-infrastructure-engineer-120468) — San Francisco, CA, US
- [Founding Engineer](https://zerogtalent.com/ai-jobs/bayworks/founding-engineer-120467) — San Francisco, CA, US
- [Founding SDR](https://zerogtalent.com/ai-jobs/bayworks/founding-sdr-120466) — San Francisco, CA, US

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*Source: [Zero G Talent](https://zerogtalent.com), the job board for space, defense, AI, robotics and frontier-tech companies.*