ZipRecruiter

Log In

2

Remote Private Equity Data Science Jobs in California

Swish Analytics

NFL Data Scientist

San Francisco, CA · Remote

$140K/yr

Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. This position is remote from the USA. Duties:

Dlapiper

Data Scientist

San Diego, CA · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Dlapiper

Data Scientist

San Francisco, CA · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Dlapiper

Data Scientist

Los Angeles, CA · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Dlapiper

Data Scientist

Palo Alto, CA · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Blend360

Senior Growth Partner

San Francisco, CA · On-site

$275K - $325K/yr

... data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles ... Build and manage relationships with private equity firms and portfolio company executives

Atlassian

Principal Data Scientist

San Francisco, CA · On-site +1

Reporting to the Manager of Global Experiences Data Science, you'll bring deep technical expertise ... This role may also be eligible for benefits, bonuses, commissions, and equity. In The United States ...

Atlassian

Principal Data Scientist

San Francisco, CA · On-site +1

Reporting to the Manager of Global Experiences Data Science, you'll bring deep technical expertise ... This role may also be eligible for benefits, bonuses, commissions, and equity. Pay Ranges: In The ...

Atlassian

Principal Data Scientist

San Francisco, CA · On-site +1

Reporting to the Manager of Global Experiences Data Science, you'll bring deep technical expertise ... This role may also be eligible for benefits, bonuses, commissions, and equity. Pay Ranges In The ...

Vianai Systems

Data Scientist

Palo Alto, CA · On-site +1

$115K - $180K/yr

You will be part of our ML/Data Science and Engineering teams focused on building and training ... We are committed to advancing inclusion, equity and diversity because we believe that to design ...

Snorkel AI

Lead Data Scientist

San Francisco, CA · Hybrid

$130K - $200K/yr

Critical-path data science projects * 20% : Partnering with Engineers, PMs, DaaS operational leads ... All offers include equity compensation in the form of employee stock options. This role is hybrid ...

Vianai Systems

Data Scientist

Palo Alto, CA

$115K - $180K/yr

You will be part of our ML/Data Science and Engineering teams focused on building and training ... We are committed to advancing inclusion, equity and diversity because we believe that to design ...

Swish Analytics

Tennis Data Scientist

San Francisco, CA · Remote

$135K - $190K/yr

Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. This position is remote from the USA. Duties:

YO AI Labs

Corporate Attorney - Remote

Los Angeles, CA · Remote

$140 - $400/hr

Remote - United States Job Overview We are seeking experienced Corporate Attorneys to contribute ... Review and analyze M&A, private equity, capital markets, and corporate legal documents. * Analyze ...

YO AI Labs

Corporate Attorney - Remote

San Jose, CA · Remote

$140 - $400/hr

Remote - United States Job Overview We are seeking experienced Corporate Attorneys to contribute ... Review and analyze M&A, private equity, capital markets, and corporate legal documents. * Analyze ...

YO AI Labs

Corporate Attorney - Remote

Palo Alto, CA · Remote

$140 - $400/hr

Remote - United States Job Overview We are seeking experienced Corporate Attorneys to contribute ... Review and analyze M&A, private equity, capital markets, and corporate legal documents. * Analyze ...

YO AI Labs

Corporate Attorney - Remote

San Francisco, CA · Remote

$140 - $400/hr

Remote - United States Job Overview We are seeking experienced Corporate Attorneys to contribute ... Review and analyze M&A, private equity, capital markets, and corporate legal documents. * Analyze ...

previous pagenext page

Showing results 21-40

All JobsPrivate Equity Data Science JobsRemote Private Equity Data Science JobsRemote Private Equity Data Science Jobs in California

Remote Private Equity Data Science information

What is remote private equity data science?

Remote Private Equity Data Science involves applying data analysis, machine learning, and statistical techniques to support private equity firms in investment decision-making, portfolio management, and risk assessment—all while working remotely. Professionals in this field analyze large datasets, build predictive models, and generate insights to help firms identify valuable investment opportunities and improve operational efficiency. Working remotely allows data scientists to collaborate with global teams and access diverse data sources using cloud-based tools. This role typically requires strong quantitative skills, knowledge of finance, and experience with programming languages such as Python or R.

What are the key skills and qualifications needed to thrive as a remote private equity data scientist?

To thrive as a Remote Private Equity Data Scientist, you need strong quantitative analysis skills, proficiency in statistics, and experience with financial modeling, typically supported by a degree in data science, finance, or a related field. Expertise in programming languages like Python or R, familiarity with machine learning libraries, and experience with data visualization tools and databases are commonly required, as are certifications in data science or finance. Exceptional problem-solving abilities, communication skills, and the capacity to work independently and collaboratively in remote settings set top professionals apart. These skills ensure accurate analysis of investment opportunities, clear insights for decision-makers, and effective teamwork across distributed environments.

What are some of the unique challenges faced by data scientists working remotely in private equity, and how can they be addressed?

Remote data scientists in private equity often encounter challenges such as accessing sensitive financial data securely, collaborating across time zones, and communicating complex analyses to investment teams. To address these, firms typically implement robust cybersecurity protocols, schedule regular virtual meetings to maintain alignment, and use collaborative tools like shared dashboards or project management platforms. Proactively setting clear expectations and maintaining open lines of communication with both technical and non-technical team members are key to success in this fast-paced, data-driven environment.

What is the difference between Remote Private Equity Data Science vs Remote Investment Analyst?

AspectRemote Private Equity Data ScienceRemote Investment Analyst
Required CredentialsDegree in Data Science, Finance, or related fields; proficiency in data analysis toolsDegree in Finance, Economics, or related fields; strong analytical skills
Work EnvironmentCollaborates with data teams, often in tech or finance firms, using data analysis and modelingResearches market trends, evaluates investments, and prepares reports, often in finance firms
Employer & Industry UsagePrivate equity firms, investment funds, consulting firmsAsset management firms, investment banks, hedge funds

Remote Private Equity Data Science focuses on analyzing large datasets to inform investment decisions using advanced analytics, while Remote Investment Analysts evaluate market data and financial reports to recommend investments. Both roles require strong analytical skills but differ in technical focus and daily tasks.

What are the most commonly searched types of Private Equity Data Science jobs in California?

The most popular types of Private Equity Data Science jobs in California are:

What are popular job titles related to Remote Private Equity Data Science jobs in California?

For Remote Private Equity Data Science jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Private Equity Data Science jobs in California look for?

The top searched job categories for Remote Private Equity Data Science jobs in California are:

What cities in California are hiring for Remote Private Equity Data Science jobs?

Cities in California with the most Remote Private Equity Data Science job openings:

Remote Private Equity Data Science jobs near you

NFL Data Scientist

Swish Analytics

San Francisco, CA • Remote

$140K/yr

Full-time

Re-posted 14 hours ago

Job description

Company Description
Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.
Job Description
Swish Analytics is looking for an NFL Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. This position is remote from the USA.
Duties:
  • Ideate, develop and improve machine learning and statistical models that drive Swish's core algorithms for producing state-of-the-art sports betting products.
  • Develop contextualized feature sets using sports specific domain knowledge.
  • Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to partnering with data engineering and product teams to deploy new models.
  • Strive to constantly improve model performance using insights from rigorous offline and online experimentation.
  • Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts.
  • Adhere to software engineering best practices and contribute to shared code repositories.
  • Document modeling work and present to stakeholders and other technical and non-technical partners.

Requirements:
  • Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area
  • Demonstrated experience developing models at production scale for NFL, CFB, or sports betting for 2+ years
  • Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods
  • 5+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting
  • Experience with relational SQL & Python
  • Experience with source control tools such as GitHub and related CI/CD processes
  • Experience working in AWS environments etc
  • Proven track record of strong leadership skills. Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions
  • Excellent communication skills to both technical and non-technical audiences

Base salary: Starting at $140,000
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.
Department Data Science Role NFL Team Locations San Francisco, CA - Remote Remote status Fully Remote

Apply