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Freelance Data Science Startup Jobs (NOW HIRING)

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.

LHi Group Ltd

Senior Manager, Data Science

Calumet, PA · On-site

$210K - $230K/yr

... Startup or hypergrowth company experience Experience with large-scale data systems Strong people ... established data science team Work across machine learning, modeling and production systems ...

SageSure

Director Data Science

Jersey City, NJ

... of a startup, we're hiring. SageSure, a leader in catastrophe-exposed property insurance, is ... In this role, you will lead a team of data scientists in solving some of the most complex and high ...

SageSure

Director Data Science

Jersey City, NJ · On-site

... of a startup, we're hiring. SageSure, a leader in catastrophe-exposed property insurance, is ... In this role, you will lead a team of data scientists in solving some of the most complex and high ...

Bet365

Data Science Team Lead/Manager

Denver, CO

We are intentionally recruiting for a specific kind of professional: someone with a startup mindset ... Data Science team. Main Responsibilities: • In this hands-on role you will devise, code, and ...

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How much do freelance data science startup jobs pay per year?

As of Aug 30, 2026, the average yearly pay for freelance data science startup in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

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 skills and qualifications are needed to thrive as a freelance data science startup founder?

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 unique challenges do freelance data scientists face when working with startups, and how can they 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 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.

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Freelance Data Science Startup jobs near you
Infographic showing various Freelance Data Science Startup job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Visualization Designer - Freelance

AKQA

Atlanta, GA • Remote

Full-time

Posted 9 days ago

Job description

At AKQA (part of WPP) we believe in the imaginative application of art and science to create beautiful ideas, products and services. With an entrepreneurial and collaborative approach, we design adaptive digital services and applications that capture the imagination, delivering impressive returns for our clients.

Creatives at AKQA apply artistry and craftsmanship to strategic insight to create and bring to life beautiful ideas that move the world. Skilled storytellers and conceptors, they work in a multidisciplinary environment to develop labors of love that delight customers and deliver results for clients. Data Visualization Designers play an essential role in this work, transforming complex information into clear, compelling, and beautiful visual stories that inform and inspire.
We are seeking a Freelance Data Visualization Designer who can take macro-level data and complex systems and find the story within them, crafting striking, beautiful visualizations for one of the world's most recognized travel brands. This is a role for a designer who is first and foremost a storyteller, able to distill large and complex datasets into visuals that are as insightful as they are elegant, and to shape them into a narrative that resonates. This is a client-facing role, so you will need to be comfortable and experienced presenting and collaborating directly with clients. This is a freelance role from ASAP through October 9, 2026.
ROLE REQUIREMENTS

  • Take large, complex, macro-level datasets and systems and uncover the most compelling and meaningful stories within them
  • Design beautiful, clear data visualizations that communicate insight with clarity and impact
  • Translate abstract data into visual narratives that are immediately understandable and genuinely engaging
  • Craft charts, graphics, and visual systems with a high degree of polish, precision, and aesthetic refinement
  • Collaborate with strategists, writers, and other designers to ensure the data story aligns with the broader narrative and objectives
  • Iterate quickly, exploring multiple visual approaches to find the clearest and most powerful expression of the data
  • Present and articulate the rationale behind visualization choices directly to client stakeholders

QUALITIES AND CHARACTERISTICS

  • A compelling portfolio demonstrating beautiful, high-craft data visualization work
  • A natural storyteller with a sharp eye for the insight and angle hidden within complex data and systems
  • Strong command of visualization principles, information design, typography, and layout
  • Comfortable working with large and complex datasets, and skilled at making them accessible and engaging
  • Proven experience working directly with clients, with the confidence and communication skills to present and collaborate in client-facing settings
  • Proficiency with relevant design and visualization tools, with the craft to deliver refined, presentation-ready work
  • Curious, rigorous, and detail-oriented, with a passion for making data both truthful and beautiful
  • Collaborative and open to feedback, motivated by producing work that informs and inspires

Location & Commitment

  • Atlanta local preferred to support periodic client visits; remote candidates will be considered if able to travel in for key meetings as needed
  • ASAP through October 9, 2026
  • 40 hours/week
  • Expected weekly compensation: 3,000 to 3,400 USD

Apply