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Freelance Data Science Startup Jobs in Alabama (NOW HIRING)

Booz Allen

$61K - $141K/yr

University - 2027 Summer Games Data Scientist Intern - Huntsville, AL The Opportunity: The Summer ... Simulating a real-world startup accelerator environment, the interns are divided into teams, each ...

Nou Systems Inc

Research Scientist

Huntsville, AL · On-site

$56K - $108K/yr

... data driven insights that transform defense systems and improve capabilities. We are pleased to ... Materials Science * Technical competence and ingenuity in one of the five areas identified above ...

Quantum-Systems,-Inc

Software Engineer

Huntsville, AL · On-site

$125 - $150/hr

Integrate unmanned system technologies such as edge computed data fusion, vision AI, teaming and ... Bachelor of Science (BS) in a Science, Technology, Engineering or Mathematics (STEM) discipline and ...

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Freelance Data Science Startup information

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.

What are the most commonly searched types of Data Science Startup jobs in Alabama?

The most popular types of Data Science Startup jobs in Alabama are:

What are popular job titles related to Freelance Data Science Startup jobs in Alabama?

For Freelance Data Science Startup jobs in Alabama, the most frequently searched job titles are:

What job categories do people searching Freelance Data Science Startup jobs in Alabama look for?

The top searched job categories for Freelance Data Science Startup jobs in Alabama are:

What cities in Alabama are hiring for Freelance Data Science Startup jobs?

Cities in Alabama with the most Freelance Data Science Startup job openings:

Freelance Data Science Startup jobs near you
Infographic showing various Freelance Data Science Startup job openings in Alabama as of June 2026, with employment types broken down into 65% Full Time, 27% Part Time, 1% Temporary, and 7% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Associate Product Manager @ Social app startup

Cheez

Montgomery, AL • On-site

Full-time

Re-posted 18 days ago

Job description

Cheez is a new app that sends you the pictures that your friends take of you, powered by facial recognition.

See the iOS app https://apple.co/3KLnpTa

or the Android app https://cheez.cc/449QC0Q

Responsibilities:

  • Assist in defining product requirements, objectives, and key results based on user needs and market research

  • Collaborate with the Founder/CEO, Engineering & Design team (ex-Google/Apple/Facebook/Microsoft) to prioritize, plan, and execute product roadmaps and sprint plans

  • Develop user stories, acceptance criteria, and detailed product specifications to communicate feature requirements to the design and engineering teams

  • Monitor and analyze product performance metrics, identifying opportunities for improvement and optimization

  • Conduct user research, usability testing, and competitive analysis to inform product decisions and validate hypotheses

  • Collaborate with the marketing team to create go-to-market strategies, positioning, and messaging for new features and improvements

  • Foster a culture of collaboration, continuous improvement, and user-centric thinking within the team

  • Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not required)

  • Strong product instincts & passion for social media, technology, and staying current with industry trends

  • Excellent communication, collaboration, and presentation skills

  • Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

  • Ability to thrive in a fast-paced, dynamic startup environment

  • Eagerness to learn, adapt, and contribute to a supportive, inclusive team culture

Apply