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Data manager • berkeley ca
Data Science Manager
The Voleon GroupBerkeley, CA, US- Promoted
Data Science Manager
TatariSan Francisco, CA, USData Science Manager
Hinge HealthSan Francisco, CA, United States- Promoted
Engineering Manager - Data
BitGoSan Francisco, CA, US- Promoted
Manager, Data Science
Clover HealthSan Francisco, CA, USData Analytics Manager
Rothy'sSan Francisco, CA, US- Promoted
Manager, Data Engineering
CircleSan Francisco, CA, US- Promoted
Big Data Manager
ClifyXSan Francisco, CA, US- Promoted
Data Partnerships Manager - Market Data / Data Licensing
P2PSan Francisco, CA, United States- Promoted
Data Operations Manager
GreenliteSan Francisco, CA, USSenior Manager, Data Product Manager
VisaSan Francisco, CA, United StatesAI Data Engineering Manager
CroweSan Francisco, CA, United States- Promoted
Data Science Manager
Hinge-HealthSan Francisco, CA, United States- Promoted
Manager, Data Specialist
RipplingSan Francisco, CA, USManager, Data Science
GoFundMeSan Francisco, CA, United States- Promoted
Data Manager
VirtualVocationsOakland, California, United States- Promoted
Manager, Revenue Data
San Francisco StaffingSan Francisco, CA, USDATA SYSTEMS MANAGER
University of California Office of the PresidentOakland, CA, United States- Promoted
Data Operations Manager
Reflection AISan Francisco, CA, USThe average salary range is between $ 87,500 and $ 173,900 year , with the average salary hovering around $ 150,500 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)
- Macon, GA (from $ 85,198 to $ 233,161 year)
- Sunnyvale, CA (from $ 146,250 to $ 222,000 year)
- Bellevue, WA (from $ 136,000 to $ 222,000 year)
- Fremont, CA (from $ 131,303 to $ 214,225 year)
- Santa Clara, CA (from $ 120,221 to $ 213,608 year)
- Wilmington, NC (from $ 136,793 to $ 211,448 year)
- Naperville, IL (from $ 115,256 to $ 211,350 year)
- Concord, CA (from $ 57,435 to $ 211,350 year)
- Cedar Rapids, IA (from $ 86,667 to $ 211,350 year)
- Grand Rapids, MI (from $ 86,667 to $ 211,350 year)
The average salary range is between $ 86,100 and $ 171,441 year , with the average salary hovering around $ 125,013 year .
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Data Science Manager
The Voleon GroupBerkeley, CA, US- Full-time
Job Description
Job Description
Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI / ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future.
Data is at the heart of everything we do—from modeling and strategy development to production monitoring and compliance. As we expand our data-driven investment initiatives, we are seeking a Technical Lead in Data Science to guide the design, implementation, and evolution of our analytical systems and mentor a growing team of data scientists.
As a Technical Lead – Data Science, you will provide technical direction and management for a team of data scientists working on high-impact problems across trading and research systems. You will be responsible for shaping analytical frameworks, ensuring methodological rigor, and delivering insights that inform business and research decisions. You will collaborate with stakeholders in engineering, research, and leadership while driving innovation and excellence in our data science practice.
Responsibilities
- Collaborate with Technical Product Owners in Research and Engineering to define priorities, scope solutions, and deliver actionable insights to stakeholders.
- Own investigations of complex production behaviors and design robust methods for identifying, analyzing, and communicating system anomalies.
- Mentor and manage junior and mid-level data scientists; provide architectural oversight for data projects.
- Serve as a technical authority within the data science function, set standards for data quality, statistical rigor, and reproducibility.
- Lead the design, development, and deployment of analytical pipelines to monitor and interpret production behavior across trading and research systems, ensuring its correctness.
- Champion best practices in data governance, tooling, and collaborative development (CI / CD, version control, code reviews).
- Drive continual growth and learning within the team by onboarding new Data Scientists, growing teams, and fostering a culture of curiosity, collaboration, and applied experimentation.
Requirements
Preferred
Compensation
The base salary range for this position is $195,000 to $225,000 in the location(s) of this posting. Individual salaries are determined by a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geographic location. Base salary does not include other forms of total compensation, such as bonus compensation and other benefits. Our benefits package includes medical, dental, and vision coverage, as well as life and AD&D insurance, 20 days of paid time off, nine sick days, and a 401(k) plan with a company match.
“Friends of Voleon” Candidate Referral Program
If you have a great candidate in mind for this role and would like to have the potential to earn $15,000 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms, and conditions, please review the Voleon Referral Bonus Program.
Equal Opportunity Employer
The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.
We may use artificial intelligence (AI) tools to support parts of the hiring process. These tools assist our recruitment team but do not replace human judgement. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.