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Data science Jobs in Berkeley, CA
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Data science • berkeley ca
- Promoted
Data Science Manager
TatariSan Francisco, CA, USData Science Manager
The Voleon GroupBerkeley, CA, US- New!
Data Science Consultant
SiaSan Francisco, California, USAData Science
Tata Consultancy ServicesSan Francisco, CATechnical Recruiter, Data Science
FigmaSan Francisco, California, USA- Promoted
Data Science Manager, Safety
King River Capital GroupSan Francisco, CA, United States- New!
Senior Director of Data Science
VirtualVocationsOakland, California, United States- Promoted
Data Science Engineer
Lawrence Berkeley National LaboratoryBerkeley, CA, United States- Promoted
Head of Data Science
Varo Money, Inc.San Francisco, CA, United States- Promoted
Data Scientist, People Science
SupportFinitySan Francisco, CA, United States- Promoted
GTM - Data Science
Rox Data CorpSan Francisco, CA, United StatesHead of Data Science
Varo BankSan Francisco, CA, USData Science Engineer
Berkeley LabBay Area, California, US- Promoted
Senior Manager, Infrastructure Data Science
Menlo VenturesSan Francisco, CA, United StatesDelivery Manager Data Science US
TuringSan Francisco, CA, United States- Promoted
Manager, Data Science
GoFundMeSan Francisco, CA, United States- Promoted
GTM - Data Science
ROXSan Francisco, CA, United States- Promoted
Research Staff, Data Science
DeepgramSan Francisco, CA, United StatesData Science Intern (Summer 2026)
CloudflareSan Francisco, California, USAThe average salary range is between $ 87,795 and $ 183,625 year , with the average salary hovering around $ 140,400 year .
- software development manager (from $ 220,000 to $ 273,000 year)
- nuclear medicine (from $ 153,470 to $ 250,984 year)
- veterinarian (from $ 115,000 to $ 250,000 year)
- python developer (from $ 135,000 to $ 244,125 year)
- office administrative assistant (from $ 47,840 to $ 243,900 year)
- vp of engineering (from $ 68,428 to $ 237,500 year)
- embedded systems engineer (from $ 133,875 to $ 222,134 year)
- product director (from $ 157,500 to $ 220,750 year)
- applications engineer (from $ 149,709 to $ 218,500 year)
- startup (from $ 136,250 to $ 216,250 year)
- Cambridge, MA (from $ 83,200 to $ 240,000 year)
- Bellevue, WA (from $ 108,000 to $ 228,325 year)
- Vancouver, WA (from $ 77,081 to $ 228,000 year)
- Fremont, CA (from $ 136,510 to $ 226,500 year)
- Milwaukee, WI (from $ 143,360 to $ 224,770 year)
- Sunnyvale, CA (from $ 165,000 to $ 222,000 year)
- San Francisco, CA (from $ 117,549 to $ 220,136 year)
- San Mateo, CA (from $ 114,445 to $ 218,207 year)
- San Jose, CA (from $ 111,734 to $ 217,850 year)
- San Bernardino, CA (from $ 112,882 to $ 216,713 year)
The average salary range is between $ 89,553 and $ 190,812 year , with the average salary hovering around $ 132,925 year .
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Data Science Manager
TatariSan Francisco, CA, US- Full-time
Data Science Manager
Tatari is on a mission to revolutionize TV advertising. We work with some of your favorite disruptor brandslike Calm, Vuori, Rocket Money, and hundreds moreto grow their business using linear and streaming TV ads. Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising into an automated, digital-like experience. Our technology and services are pushing the industry forward, enabling businesses of any size to advertise on TV.
Named one of the 16 Hottest Ad Tech Companies by Business Insider and Best Places to Work by Inc. Magazine, Tatari is experiencing rapid growth. Our executive team is comprised of former founders and senior leaders at fast-rising startups like Shazam, TrueCar, AdapTV, and LiveRail and larger, more established tech companies like Amazon, Google, Meta, Microsoft, and Yahoo.
We're looking for a Data Science Manager to lead our growing AI product data science function. This is a foundational role focused on building and managing a small team of data scientists working on customer-facing features powered by machine learning and LLMs. You'll partner closely with Product, Engineering, and Platform teams to deliver fast-moving experiments, shape the roadmap for AI innovation, and lay the foundation for scalable, production-ready AI systems. While this is not an individual contributor (IC) role, we're looking for someone with the technical depth to meaningfully collaborate on modeling and system design, and the management experience to lead a team through execution. You'll play a central role in shaping how AI shows up in our product and how the team behind it grows.
Responsibilities :
- Manage and grow a team of data scientists focused on AI / ML product development
- Facilitate the team's design of algorithms and models to innovate, research, and deliver on product features that drive and expand our business opportunities
- Empower the team to innovate and explore new methodologies and improve upon existing algorithms
- Actively develop strong working relationships across Product, Engineering, and Infrastructure teams to foster alignment, drive shared decision-making, and accelerate delivery of AI-powered features
- Collaborate with partner teams to define scope, translate product requirements into technical approaches, and ensure successful delivery
- Own Data Science prioritization for AI / ML outcomes, allocate resources and manage workload
- Drive execution of AI / ML projects by tracking progress, aligning timelines with stakeholders, and ensuring timely, high-quality delivery
- Assess and mitigate risks to delivery, owning accountability for downstream business impacts
- Promote high-quality experimentation, modeling, and evaluation standards, with an emphasis on reliability and product value
- Develop lightweight but effective team processes to support fast iteration and scalable AI delivery
- Conduct performance reviews, coach team members, and support career growth planning for direct reports
- Contribute to hiring and onboarding efforts for the team
Qualifications :
Benefits :
At Tatari, we believe in the importance of cultivating teams with diverse backgrounds and offering equal opportunities to all. We strive to create a welcoming, inclusive environment where every team member feels valued and diversity is celebrated.