Talent.com

Data science Jobs in Daly City, CA

Create a job alert for this search

Data science • daly city ca

Last updated: 3 days ago

VP, Modeling & Data Science

LendingClubSan Francisco, CA
$240,000.00 yearly
Full-time

Current Employees of Happen Bank: Please apply via your internal Workday Account.Happen Bank (formerly LendingClub) is built around a simple purpose: to clear the way to help people turn intention ... Show more

Delivery Consultant- GenAI/ML & Data Science, AWS Industries

Amazon Web Services, Inc.San Francisco, California, USA
Full-time

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS).In this role, you'll work closely with customers... Show more

Science Lead, Intercept

StripeSouth San Francisco, CA, United States
Full-time

Stripe is a financial infrastructure platform for businesses.Millions of companies - from the world's largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their ... Show more

Senior Manager, Data Science

BMOCA,HB San Francisco,H
$122,400.00 yearly
Full-time +1

This is ideally a hybrid role but open to remote.We are looking for a Senior Data Scientist with a strong can‑do mindset, proven ability to ship production‑grade models, and passion for solving amb... Show more

Data Science Manager

Analytic Recruiting Inc.San Francisco, CA
Full-time

Leading media technology platform dedicated to modernizing the advertising landscape is seeking a Data Science Manager to lead AI Product function.This is a foundational leadership role where you w... Show more

Data Science Manager, Mapping

LyftSan Francisco, CA
$176,000.00 yearly
Full-time

At Lyft, our purpose is to serve and connect.We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.Our transport network serves t... Show more

Associate Director, Quality Engineer/Data Science

Allogene TherapeuticsSouth San Francisco, CA, US
$170,000.00 yearly
Full-time

About Allogene: Allogene Therapeutics, with headquarters in South San Francisco, is a clinical-stage biotechnology company pioneering the development of allogeneic chimeric antigen receptor T cell... Show more

Data Science Intern

FaireSan Francisco, CA
$75.00 hourly
Full-time

Data Science Internship - Fall 2026.Faire leverages machine learning and data insights to transform the wholesale industry, giving independent retailers the tools to compete with large-scale e-comm... Show more

Senior Manager, Product Data Science - Fleet Optimization and Orchestration

WaymoSan Francisco, CA, United States
Full-time

Senior Manager, Product Data Science - Fleet Optimization and Orchestration.Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver.Since its start ... Show more

Remote Data Science Expert - AI Trainer ($120-$170 per hour)

MercorSan Francisco, California, US
Remote
Full-time

Role Overview** Mercor is partnering with a leading AI research organization to engage experienced data scientists for a project focused on evaluating how well AI systems perform real-world data sc... Show more

Data Science Manager, Integrity

OpenAISan Francisco
Full-time

Integrity Data Science sits at the center of OpenAI’s mission to deploy powerful AI responsibly.We help ensure people can trust our products by building measurement systems, experimentation practic... Show more

Director, Analytics & Data Science

AdobeSan Francisco
$171,900.00 yearly
Full-time

Changing the world through digital experiences is what Adobe’s all about.We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital exper... Show more

Senior Manager, GTM Data Science

AdobeSan Francisco, CA, United States
Full-time

Senior Manager, GTM Data Science.Adobe is looking for a Senior Manager, GTM Data Science to lead a team focused on acquisition, conversion, trials, and gross new ARR growth across the digital custo... Show more

Data Science Specialist - Fully Remote | Upto $75/hr

MercorSan Francisco, California, United States
$60.00 hourly
Remote
Part-time
Quick Apply

Headquartered in San Francisco, our investors include.Software & Data Science Expert.Develop objective evaluation rubrics for task assessment.Application Process (Takes 20–30 mins to complete).... Show more

Senior Manager, Product Data Science - Fleet Optimization and Orchestration

Latent LogicSan Francisco, CA, United States
Full-time

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver.Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on buildin... Show more

Life Science Senior Consultant

DeloitteSan Francisco, CA, United States
Full-time

Passionate about helping Life Sciences organizations navigate strategic, operational, and regulatory priorities while driving meaningful transformation? If you're excited to work across multidiscip... Show more

California Science Market Leader

NBBJSan Francisco, CA, United States
$150,000.00–$180,000.00 yearly
Full-time

NBBJ California is seeking a Science Market Leader.We are seeking a leader who will bring their expertise and passion to build upon our California Science Practice.The Market Leader is a business b... Show more

Head, Innovation Accelerator Data Science

GenentechSouth San Francisco, CA, United States
Full-time

Head Of Innovation Accelerator Data Science.It's what drives us to innovate.To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to c... Show more

Life Science Technician II

LE002 Flagship Facility Services LLCBrisbane,CA
Full-time

Monitor, clean, and maintain the following: hood traps, incubators (fill as needed), water baths .Assist team with content transfers in the instances of cold storage unit failures.Monitor and dump ... Show more

Engagement Manager - Marketing Data Science

Inizio PartnersSan Francisco, CA, United States
Full-time

Engagement Manager - Marketing Data Science.San Francisco, California, United States.As the Marketing Data Science Engagement Manager, you will lead analytics that power growth across the customer ... Show more

People also ask
VP, Modeling & Data Science

VP, Modeling & Data Science

LendingClubSan Francisco, CA
30+ days ago
Salary
$240,000.00 yearly
Job type
  • Full-time
Job description

Current Employees of Happen Bank: Please apply via your internal Workday Account


Happen Bank (formerly LendingClub) is built around a simple purpose: to clear the way to help people turn intention into action, and action into financial progress. That means offering focused products, a frictionless mobile-first experience, and clear terms with no gotchas. Respect and fairness is part of our DNA, and that ideal shapes how we work, how we treat each other, and how we invest in our employees and our community. Join us in using data, bold thinking, and a commitment to innovation to help clear the way for millions of Americans to achieve more.


About the Role

Happen Bank’s Decision Science group is seeking an innovative and highly experienced quantitative data science leader to join us as our VP, Modeling & Data Science. This pivotal role will shape the next generation of modeling strategies across Happen Bank's enterprise—spanning personal loans, auto, purchase finance, and deposits.

As a key member of the leadership team, you will be responsible for setting a clear strategic vision for modeling excellence, including integrating next-generation machine learning (ML), AI capabilities, and advanced data sources into our credit, fraud, and marketing ecosystems. We're looking for a leader with extensive experience in the consumer lending or Fintech industry who is passionate about leveraging advanced analytics and machine learning to solve complex business problems. You will lead a high-performing team of modelers and partner cross-functionally to build an agile, future-ready modeling infrastructure.

What You'll Do

  • Set the enterprise modeling strategy across key domains: credit underwriting, fraud detection, marketing targeting, pricing, and operational decisioning.

  • Champion AI/ML model innovation and oversee deployment of advanced statistical and ML models across the Happen Bank's ecosystem.

  • Drive the development, enhancement, and governance of a comprehensive suite of models, ensuring performance, interpretability, and compliance.

  • Collaborate with Technology to evolve our machine learning platform for scalable experimentation, deployment, and monitoring.

  • Lead a team of 6–10 seasoned modeling and data science professionals, fostering a culture of innovation, curiosity, and rigor.

  • Build robust partnerships with cross-functional teams including Credit Strategy, Marketing, Risk, Operations, Engineering, and Compliance.

  • Evaluate and integrate emerging data sources to unlock new insights and opportunities across our lending and deposit products.

  • Set the agenda for continuous improvement in tools, technologies, and methodologies.

  • Serve as a modeling thought leader, representing Happen Bank's in industry forums and regulatory discussions, and benchmarking best-in-class practices.

  • Partner closely with Model Risk Management to ensure strong governance and alignment with evolving regulatory expectations.

  • Communicate complex technical and business topics with clarity and impact to senior leadership, the board, and regulators, on all aspects pertaining to the management of the modeling/AI/ML function.

About You

  • 15+ years of relevant business experience, with a significant portionin consumer lending.

  • 10+ years of experience in people management leading and developing teams of modelers, data scientists, or other analytical functions.

  • Extensive hands-on experience with predictive modeling methods (e.g., logistic regression, multivariate linear regression, decision tree, cluster analysis), with a strong command of a wide range of advanced data mining and machine learning techniques.

  • Deep practical experience and solid understanding of machine learning and deep learning methods (e.g., GBM, Neural Networks).

  • Proficiency with leading machine learning and deep learning toolkits (e.g., TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas).

  • Experience establishing or scaling enterprise-level ML platforms and practices.

  • Experience with consumer credit portfolios and data science/decision science/risk management within the banking sector is a significant plus.

  • Hands-on knowledge of credit and fraud functions development in a regulated banking or fintech environment.

  • Strong understanding of model governance, validation, and regulatory compliance in financial services.

  • A systems thinker who is comfortable operating in both strategic and technical dimensions.

  • Ability to develop sophisticated quantitative measurements and analyses to address multi-dimensional business needs.

  • Exceptional communication skills, with the ability to clearly and precisely articulate technical and business topics across all levels of management, including senior executives and regulators.

  • Proven ability to influence and drive change cross-functionally, championing new ideas and approaches.

  • Bachelor's degree or higher, or equivalent combination of education and experience

Work Location
San Francisco

The above locations are eligible offices for this role. The locations have been determined to foster in-person collaboration with this role’s team or the related business lines. We utilize a hybrid work model, and our teams are in-office Tuesdays, Wednesdays, and Thursdays. In-person attendance is essential for this role’s success, and remote placement will not be considered. Happen Bank offers relocation, based on actual job level.

Time Zone Requirements
Primarily PT

While the position will primarily work local hours, Happen Bank is headquartered in Pacific Time and our ideal candidate will be flexible working across time zones when necessary.

Travel Requirements
Monthly/quarterly/as needed travel to Happen Bank offices and/or other locations, as needed.

Compensation
The target base salary range for this position is 240,000-270,000. The base salary of the role will be determined by job-related knowledge, experience, education, skills, and location. Base salary is just one part of Happen Banks Total Rewards package. You may also be eligible for long-term awards (equity) and an annual bonus (which is based on company performance, employee performance and eligible earnings).

We’re creating new financial services solutions for our members based on fairness, simplicity, and heart, and we treat our employees the same way. We offer a competitive benefits package that includes medical, dental and vision plans for employees and their families, 401(k) match, health and wellness programs, flexible time off policies for salaried employees, up to 16 weeks paid parental leave and more.

#LI-Hybrid

#LI-BC1


Happen Bank is an equal opportunity employer and dedicated to diversity, equity, and inclusion in the workplace. We do not discriminate on the basis of race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), gender, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status, political views or activity, or other applicable legally protected characteristics. We believe that a variety of perspectives will make our teams and business stronger as we work together to transform the traditional banking system.


Notice on AI Tool Use

For select roles and locations, candidate interviews may be recorded, transcribed and summarized by tools such as artificial intelligence (AI) to assist our hiring managers with the application process.


You will have the opportunity to opt out of recording, transcription, and summarization prior to any scheduled interviews. We will not discriminate against you if you choose to opt out.


During the interview, we will collect the following categories of personal information from or about you: contact information, identifiers, professional and employment-related information, sensory information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment.

We will only share your interview, transcription, or summary with persons whose expertise or technology is necessary to process your application, evaluate your fitness for a position, and administer or support the tool. We will not sell your personal information or disclose it to any third party for their marketing purposes. For more information about how we will handle your personal information, please refer to our .


We will delete any recording of your interview promptly but in no event later than 30 days after making a hiring decision.