482 Data Science jobs in Berkeley

Home to iconic brands recognized by audiences everywhere for entertainment, inspiration, and innovation, Disney has brought exceptional storytelling and experiences to life for more than 100 years in a way that only we can. Imagine being part of this story. Imagine where a career at Disney can take you! GLOBAL OPPORTUNITIES The Walt Disney Company entertains, informs and inspires people around the globe through the power of unparalleled storytelling to create experiences that are both universally and locally cherished. NORTH AMERICA From humble beginnings as a cartoon studio in the 1920s to a preeminent name in the entertainment industry today, we proudly continue our legacy of creating world-class stories and experiences for every member of the family. Our operations in North America span over 10 decades and encompass our three core business segments: Disney Entertainment, ESPN and Disney Experiences. We are the leading family entertainment company in Latin America and have been present in the region since the 1940s when Walt Disney himself first traveled to the area to create the company's sixth animated film Saludos Amigos. Today, the business is expansive with offices in Argentina, Brazil, Mexico and the U.S. (Miami) - all working together to enrich people's lives through storytelling and experiences. In Europe, Middle East and Africa, we have been creating exceptional entertainment experiences for over 90 years. Through our diverse portfolio of businesses, we focus on delivering our unique brand of world-class storytelling to millions of consumers across more than 130 countries in strategic and locally relevant ways, employing thousands throughout the region. For more than 70 years, we have been entertaining consumers in Asia Pacific. Today's consumer can discover new branded experiences in so many ways - from Disney to our movies, consumer products, stores, parks, games, books and so much more. Our talented team of employees operates across the Asia-Pacific region, in Australia, New Zealand, Greater China, Japan, Korea and Southeast Asia. Featuring top honors across industries to exciting announcements from around the world, check out the latest on how we're leading the way in media, entertainment and experiences. At Disney, our world-class portfolio of brands and businesses work in unison to deliver the creative excellence, innovative technologies, and unforgettable experiences that audiences of all ages have come to cherish for over 100 years. Explore where the next chapter of your career story could begin. Our people are at the heart of everything we do here at Disney. They fuel our business, power our storytelling, uphold our strong legacy, and foster good in our communities. We are committed to being a welcoming, respectful, and empowering home to talent from all around the world. At Disney, we want everyone to belong and thrive. Creating a welcoming and respectful environment for our employees and guests is core to our company culture and our business. Because our employees and cast members are at the heart of everything we do, Disney offers a competitive total rewards package that includes pay, health and savings benefits, time-off programs, educational opportunities and more. Through financial contributions, collaboration with nonprofit organizations, in-kind donations and employee volunteering, we bring positive, meaningful, and measurable impact to our communities around the world. COMMUNITY Through financial contributions, collaboration with nonprofit organizations, in-kind donations and employee volunteering, we bring positive, meaningful, and measurable impact to our communities around the world. Learn More Sign Up for Job Alerts Get the latest job opportunities as they become available. Notice on Recruitment Scams We have been made aware of recent internet scams involving individuals falsely stating that they are recruiting for positions within The Walt Disney Company asking for personal information and/or money as part of our interview process. Our recruiters will only contact you from an official company email address including: @disney.com, @espn.com, @lucasfilm.com, @ilm.com, @pixar.com or @abc.com. They will not request funds or payment in any form or personal information such as photos of government-issued identification. If you receive a suspicious email, we advise you to mark the email as junk or spam so that your email provider will block them. J-18808-Ljbffr

• June 1 - August 14, 2026
• Working hours: 36hrs/week. Monday - Friday, PST
• June 15 - 19: On-Site Week in San Francisco at headquarters office
• June 29 - July 3: Week off for Summer Shutdown

• Assist in data collection and preprocessing tasks, helping to clean and organize datasets from various sources within the beauty retail ecosystem.
• Help create and update dashboards and reports using business intelligence tools to visualize key metrics for stakeholders.
• Contribute to the testing and validation of machine learning models, ensuring their accuracy and reliability before deployment.
• Collaborate with team members to conduct basic exploratory data analysis, uncovering initial insights about customer preferences and product trends.
• Assist in preparing data for analysis by performing tasks such as data aggregation, feature engineering, and format standardization.

• Proficiency in programming languages commonly used in data analysis (Python and SQL). Pyspark knowledge preferred.
• Knowledge of data visualization tools (e.g., Tableau/Power BI and matplotlib)
• Familiarity with data manipulation and analysis libraries (e.g., pandas)
• Basic understanding of database systems and data warehousing concepts
• Familiarity with basic statistical concepts, data mining techniques and willingness to learn and adapt to new technologies and methodologies
• Familiarity with API creation and web scraping methodologies

• Graduating in 2025 or 2026 (undergraduate or graduate degree)
• Remote program - work schedule must align with Pacific Standard Time
• Must permanently reside and work in the U.S.
• Must be open to relocating to the San Francisco Bay Area upon graduation for consideration for full-time hybrid positions
• Available for the 1-week On-Site office experience in San Francisco, CA

• The people. You will be surrounded by some of the most talented leaders and teams - people you can be proud to work with.
• The learning . We invest in training and developing our teams, and you will continue evolving and building your skills through personalized career plans.
• The culture . As a leading beauty retailer within the LVMH family, our reach is broad, and our impact is global. It is in our DNA to innovate and, at Sephora, all 40,000 passionate team members across 35 markets and 3,000+ stores, are united by a common goal - to reimagine the future of beauty.

Head of Data Science

About the Company

Pioneering financial technology (FinTech) company

Industry
Financial Services

Type
Privately Held

About the Role

The Head of Data Science will be responsible for providing strategic leadership to effectively lead a multifunctional team in the delivery of robust data services to clients.

Travel Percent
Less than 10%

Functions

• Data Management/Analytics

Known Requirements

• Master's degree or Ph.D. in statistics, computer science, or mathematics required
• At least 5 years' experience in a data science leadership position required
• Excellent technical skills and solid experience in ETL pipeline design and development required
• Superior written, verbal, and interpersonal communication skills required

Head of Data Science

About the Company

Pioneering financial technology (FinTech) company

Industry
Financial Services

Type
Privately Held

About the Role

The Head of Data Science will be responsible for providing strategic leadership to effectively lead a multifunctional team in the delivery of robust data services to clients.

Travel Percent
Less than 10%

Functions

• Data Management/Analytics

Known Requirements

• Master's degree or Ph.D. in statistics, computer science, or mathematics required
• At least 5 years' experience in a data science leadership position required
• Excellent technical skills and solid experience in ETL pipeline design and development required
• Superior written, verbal, and interpersonal communication skills required

Program: Apply today for The Data Incubators Free Data Science Fellowship Program. The Data Incubator is an intensive 8 week fellowship that prepares current and graduated masters, PhDs, and postdocs in STEM and social science fields seeking industry careers as data scientists. We teach about data engineering, machine-learning, analytics, visualization and many other big data topics. The program is free for Fellows and supported by sponsorships from hundreds of employers across multiple industries.

Locations: There will be both an in-person (in NYC, DC, SF, Boston, Seattle) and online section of the fellowship.

Dates: All sessions will be from -02.

Regional Science Association International

• We are looking for an experienced Data Science & Analytics Lead to drive data-driven decision-making and advanced analytics initiatives in the retail domain.
• This onsite role will work closely with business stakeholders, product teams, and data engineering to deliver actionable insights, predictive models, and AI/ML-powered solutions aligned with retail business goals.
• Hands-on experience with data visualization tools like Power BI, Tableau, or Looker.
• Familiarity with cloud ecosystems (Azure, AWS, or GCP) and MLOps practices is a plus.
• Strong business acumen and ability to influence stakeholders with data.

• See "unsolved" problems as opportunities to pioneer entirely new approaches
• Can identify the one critical experiment that will validate or kill an idea in days, not months
• Have the vision to scale successful proofs-of-concept 100x
• Are obsessed with using AI to automate and amplify your own impact

• Drive high performance data acquisition, preparation and synthesis pipelines to generate data for the next generation of speech and language AI foundation models
• Develop advanced characterizations of complex conversational audio utilizing a diverse toolkit of signals processing techniques and deep learning models
• Collaborate with DataOps and Engineering to create automated systems which scale the ability of human annotators to label high value data and provide critical feedback on model outputs
• Build advanced benchmarking methodologies and curated datasets for evaluating conversational voice systems
• Document and present results of data experiments and analysis for internal and external audiences

• Are obsessed with making sense out of complex and/or messy data
• Enjoy building from the ground up and love to create new systems from scratch
• Are passionate about AI and interested in leveraging data to solve hard problems
• Are motivated by the prospect of scaling yourself using automation and AI models

• Experience building data processing pipelines from a blank page and owning the entire data stack including data acquisition, characterization, cleaning, serving and transformation
• Experience and expertise applying statistical methods and deep learning models to understand complex data
• Strong communication skills and the ability to translate complex concepts in simple terms, depending on the target audience
• Strong software engineering skills with particular emphasis on developing clean, modular code in Python and working with Pytorch

• Background in Physics, Mechanical Engineering or Language Processing
• Experience building models
• Speech and audio experience

• Collaborating in developing highly Sephora customized Marketing Mix Modeling (MMM) projects involving specialized, nested regression models, forecasting optimization, and building dashboards and presentations to evaluate the performance of Onsite and Offsite Sephora Media Network performance
• Collaborate on day-to-day marketing effectiveness activities such as data delivery, analytics processes, interpretation of findings, insight delivery, and stakeholder alignment, with an emphasis on Marketing mix models
• Work with stakeholders to determine business needs and objectives, and then the Marketing Effectiveness team to design, develop, and complete analytical processes/solutions to derive insights that can address stakeholders' stated objectives
• Actively consult stakeholders to validate and update as needed, a defined marketing effectiveness roadmap that outlines short-term and long-term business priorities
• Support the senior director with executive engagement materials and critical business needs.

• 2-4 years' of Analytics experience
• Strong R or Python experience
• Strong SQL skills
• Paid Media marketing or analytics experience, either at a digital agency or client side.
• Knowledge of retail media network offsite (Paid Search, Display) and onsite (PLA and display) initiatives preferred
• Excellent communication skills - able to articulate findings that are not always straightforward or intuitive
• Great attention to detail, with the ability to dig deep into details while keeping focus on the primary business question at hand
• High sense of integrity and respect for others; experience working with cross-functional teams
• Ability to multi-task and prioritize workload without becoming overwhelmed
• Comfort with ambiguity; ability to thrive in an environment with rapid change
• Intellectual curiosity and willingness to accept feedback

• The people. You will be surrounded by some of the most talented leaders and teams - people you can be proud to work with.
• The learning . We invest in training and developing our teams, and you will continue evolving and building your skills through personalized career plans.
• The culture . As a leading beauty retailer within the LVMH family, our reach is broad, and our impact is global. It is in our DNA to innovate and, at Sephora, all 40,000 passionate team members across 35 markets and 3,000+ stores, are united by a common goal - to reimagine the future of beauty.

• 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 LendingClub 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 LendingClub 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.

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

• 10+ years of experience 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.

• Degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Economics); a Master's or PhD is preferred, though equivalent professional experience will also be considered.