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Freelance Data Science Startup Jobs in California

DEUNA

Data Science intern

San Francisco, CA · On-site

About DEUNA DEUNA is a rapidly growing startup revolutionizing global commerce with ATHIA, our AI ... Collaborate with Data Scientists, Data Engineers, and Product teams on ongoing initiatives.

DEUNA

Data Science intern

San Francisco, CA

About DEUNA DEUNA is a rapidly growing startup revolutionizing global commerce with ATHIA, our AI ... Collaborate with Data Scientists, Data Engineers, and Product teams on ongoing initiatives.

Whatnot

Manager, Data Science

San Francisco, CA · On-site

$221K - $320K/yr

We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer ... Role We're looking for a Manager, Data Science to lead a high-impact team working on core ...

Evolver

Applied Data Science Intern

Palo Alto, CA · On-site

... startup environment. Program Details: Evolver is launching a small, highly selective summer internship cohort for students and emerging talent to gain hands-on experience applying data science ...

Evolver

Applied Data Science Intern

Palo Alto, CA

... startup environment. Program Details: Evolver is launching a small, highly selective summer internship cohort for students and emerging talent to gain hands-on experience applying data science ...

Coupang

Director of Data Science

Mountain View, CA · On-site

$174K - $299K/yr

We are proud to have the best of both worlds - a startup culture with the resources of a large ... Role Overview Coupang is seeking a Director of Data Science to lead high-impact, data-driven ...

Brilent

Senior Data Scientist

San Mateo, CA · On-site

Company Description Brilent is a data science tech company developing a SaaS solution to help ... WHY US? Brilent is a well-funded, award winning startup located in the Silicon Valley. We are ...

Hayden AI

Associate Data Scientist

San Francisco, CA · On-site

$120K - $156K/yr

Master's in Data Science, Statistics, Computer Science, Economics, Transportation Engineering, or a ... Prior experience in a startup environment and a desire to make a significant impact.

Tenex.AI Inc

Senior Data Scientist

San Jose, CA · On-site

Experience working in an early-stage startup environment. Education & Certifications * Master's or Ph.D. in Computer Science, Data Science, Statistics, Engineering, or a related quantitative field ...

Knit Health

Senior Data Scientist

San Francisco, CA

$140K - $175K/yr

As a senior member of our growing data science team, you will lead the design, curation, and ... Prior work in a startup or high-growth environment. Salary Range Knit Health offers a competitive ...

Prodege LLC

Senior Data Scientist

El Segundo, CA · On-site

We operate with startup speed and a startup appetite for change, backed by the resources of a major investment partner. The must-haves: * Bachelor's or Master's in Statistics, Economics, Data Science ...

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 a startup, and we are founded, funded, and led by veterans of the industry. We think and ...

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Freelance Data Science Startup information

What is the difference between Freelance Data Science Startup vs Data Analyst?

AspectFreelance Data Science StartupData Analyst
CredentialsRelevant degrees, certifications in data science or analyticsDegree in statistics, data analysis, or related fields
Work EnvironmentIndependent, project-based, remote or on-siteTypically in corporate or organizational settings, often full-time
Employer & IndustrySelf-employed or startup clients across various industriesEmployers in finance, marketing, healthcare, etc.
Search & Comparison IntentLooking for freelance opportunities or startup roles in data scienceSeeking data analysis roles within organizations

Freelance Data Science Startups focus on independent, project-based work involving advanced data modeling and machine learning, often serving multiple clients. Data Analysts typically work within organizations analyzing data to inform business decisions. While both roles require analytical skills, freelance data science startups emphasize entrepreneurship and technical expertise, whereas data analysts focus on operational data insights within a company.

What is a Freelance Data Science Startup?

A Freelance Data Science Startup is a small business or entrepreneurial venture where individuals or small teams offer data science services independently, rather than working as full-time employees for a single company. These startups provide solutions such as data analysis, machine learning, predictive modeling, and data visualization to various clients on a project basis. Freelance data science startups often work with businesses that need expertise for specific projects or lack in-house data science resources. They may operate remotely and handle multiple clients simultaneously, allowing for flexibility and diverse experience. This model is popular among data scientists seeking autonomy and a variety of challenging projects.

What are some unique challenges freelance data scientists face when working with startups, and how can they effectively manage them?

Freelance data scientists working with startups often encounter challenges such as rapidly changing project scopes, limited historical data, and the need to wear multiple hats. Since startups typically operate in fast-paced environments, priorities can shift quickly, requiring adaptability and strong communication skills. To manage these challenges, it's important to set clear expectations upfront, maintain transparent communication with stakeholders, and design flexible data solutions that can evolve as the business grows. Building strong relationships with both technical and non-technical team members can also help ensure project alignment and successful outcomes.

What are the key skills and qualifications needed to thrive as a Freelance Data Science Startup founder, and why are they important?

To thrive as a Freelance Data Science Startup founder, you need strong expertise in data analysis, machine learning, programming (Python/R), and a solid educational background in statistics or computer science. Familiarity with tools like Jupyter, TensorFlow, cloud platforms (AWS, GCP), and data visualization software, as well as relevant certifications, is highly beneficial. Exceptional communication, client management, and entrepreneurial skills help differentiate successful founders in this space. These skills are crucial for delivering high-quality solutions, winning clients, and sustaining a competitive edge in the evolving data science market.
What are the most commonly searched types of Data Science Startup jobs in California? The most popular types of Data Science Startup jobs in California are:
What are popular job titles related to Freelance Data Science Startup jobs in California? For Freelance Data Science Startup jobs in California, the most frequently searched job titles are:
What job categories do people searching Freelance Data Science Startup jobs in California look for? The top searched job categories for Freelance Data Science Startup jobs in California are:
What cities in California are hiring for Freelance Data Science Startup jobs? Cities in California with the most Freelance Data Science Startup job openings:
Freelance Data Science Startup jobs near you

Data Science intern

DEUNA

San Francisco, CA • On-site

Temporary

Re-posted yesterday

Job description

About DEUNA
DEUNA is a rapidly growing startup revolutionizing global commerce with ATHIA, our AI-powered orchestration and payments platform that helps large enterprises boost approval rates, reduce costs, and unlock new revenue. Built by the team behind DEUNA-the fastest-growing Commerce OS in Latin America-ATHIA combines payment intelligence, checkout optimization, and data orchestration in one powerful solution.
With deep integrations across 300+ PSPs and alternative payment methods, and over 20% of Mexico's digital economy running through our platform, we simplify global payments through a single integration and centralized reconciliation.
We are a rapidly growing startup expanding into the U.S. to meet the urgent needs of large retailers, marketplaces, airlines, and QSRs. Join us to shape the future of payments!
Visit https://www.deuna.com/ to learn more about us!
We are looking for curious, analytical, and motivated students who are eager to learn about Data Science in a fast-paced technology environment. During the internship, you will support the Data team by analyzing data, building models, developing insights, and contributing to projects that have a direct impact on our products and business.
This is an educational, unpaid internship designed to provide practical experience, mentorship, and exposure to real-world data science projects.
Key Responsibilities
  • Assist in collecting, cleaning, and preparing datasets for analysis.
  • Perform exploratory data analysis to identify trends and patterns.
  • Support the development and evaluation of machine learning models.
  • Build dashboards and visualizations to communicate business insights.
  • Collaborate with Data Scientists, Data Engineers, and Product teams on ongoing initiatives.
  • Document analyses, methodologies, and project findings.
  • Participate in team meetings, knowledge-sharing sessions, and technical discussions.
  • Learn and apply best practices in data science, experimentation, and analytics.
Qualifications
Required
  • Currently pursuing a Bachelor's or Master's degree in:
    • Computer Science
    • Data Science
    • Statistics
    • Mathematics
    • Engineering
    • Economics
    • Physics
    • Or a related quantitative field.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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