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Freelance Data Science Startup Jobs in Arizona (NOW HIRING)

Mondo

Data Scientist

Phoenix, AZ · On-site

$136K - $164K/yr

Participate in the end-to-end data science project lifecycle - data mining and exploration, model ... Startup mindset * Proficiency with Excel and PowerBI * Experience with commercial analytics ...

Corning

Data Engineer

Tolleson, AZ

$112K - $135K/yr

Corning is one of the world's leading innovators in glass, ceramic, and materials science. From the ... Participate in startup and transformation initiatives that establish AMPS digital, reporting ...

Corning

Data Engineer

Phoenix, AZ

$113K - $136K/yr

... and materials science. From the depths of the ocean to the farthest reaches of space, our ... Participate in startup and transformation initiatives that establish AMPS digital, reporting ...

Corning

Data Engineer

Tolleson, AZ · On-site

$112K - $135K/yr

Corning is one of the world's leading innovators in glass, ceramic, and materials science. From the ... Participate in startup and transformation initiatives that establish AMPS digital, reporting ...

Corning Incorporated

Data Engineer

Tolleson, AZ · On-site

$112K - $135K/yr

... support startup operations, process improvement, and long-term business needs. • Partner with ... Required : • Bachelor's degree in Data Engineering, Computer Science, Information Systems ...

Axosoft, LLC

Applied Data Scientist

Scottsdale, AZ

We're looking for a pragmatic, startup-minded Senior Machine Learning Engineer or Applied Data Scientist who can take an idea from concept to production. Sometimes that idea will come from the data.

Axosoft, LLC

Applied Data Scientist

Scottsdale, AZ · On-site

We're looking for a pragmatic, startup-minded Senior Machine Learning Engineer or Applied Data Scientist who can take an idea from concept to production. Sometimes that idea will come from the data.

Cheez

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ... Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

Cheez

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ... Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

Cheez

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ... Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

Cheez

Product Manager @ Social app startup

Mesa, AZ · On-site

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ... Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

Cheez

Product Manager @ Social app startup

Yuma, AZ

Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ... Strong analytical and critical thinking abilities, with a data-driven approach to decision-making

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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 Arizona? The most popular types of Data Science Startup jobs in Arizona are:
What are popular job titles related to Freelance Data Science Startup jobs in Arizona? For Freelance Data Science Startup jobs in Arizona, the most frequently searched job titles are:
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What cities in Arizona are hiring for Freelance Data Science Startup jobs? Cities in Arizona with the most Freelance Data Science Startup job openings:
Freelance Data Science Startup jobs near you
Data Scientist

Data Scientist

Mondo

Phoenix, AZ • On-site

$136K - $164K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago

Job description

Job Title: Data Scientist III (Generative AI) Location: Phoenix, AZ Start Date: ASAP Duration: Permanent Compensation: $136,900 - $164,300 Benefits: Eligible for Health, Dental, Vision, 401K, PTO Must be authorized to work in the U.S. This position is not eligible for sponsorship .

Job Description: Our client is seeking a Data Scientist III specializing in Generative AI and agentic architectures, with proven experience building and scaling end-to-end RAG solutions and autonomous AI agents while embedding Responsible AI practices across model development, deployment, and governance. This role drives internal data analytics projects ranging from short data explorations to long-term implementations of advanced predictive and machine learning models. The Data Scientist III communicates technical and analytical concepts across all levels of the organization and influences the roadmap through data-based recommendations. You will join a growing team of data scientists and help shape how AI is built and deployed across the business.

Day-to-Day Responsibilities:

  • Build robust Agentic AI and RAG applications using Responsible AI practices across model development, deployment, and governance
  • Participate in the end-to-end data science project lifecycle - data mining and exploration, model development and evaluation, production deployment, measurement, and tracking
  • Perform time-series analyses, hypothesis testing, and causal analyses to statistically assess impact and extract trends across functional areas
  • Build statistical models to enhance understanding of trends and predict future performance
  • Design experiments and interpret results to draw detailed, actionable conclusions
  • Design, validate, and evaluate solutions using Python, SQL, and other programming tools
  • Transform data into actionable insights and recommendations, and support standard analyses, reports, and dashboards
  • Collaborate with stakeholders and other teams to gather data, build relationships, and champion ML capabilities for non-technical audiences
  • Educate and mentor team members on data science best practices, statistical programming, and data preparation

Minimum Requirements:

  • 5 years of experience as a Data Scientist working with large databases to perform complex analysis
  • Master's degree in a STEM field
  • Strong MLOps background - big focus, including carrying models through the full development cycle into live production
  • Must currently reside within commuting distance to Phoenix, AZ
  • 5 years of Python
  • 5 years of SQL
  • Git experience
  • Experience building and deploying ML/AI models in a cloud computing environment (e.g., AWS) and/or enterprise IT environment
  • Strong statistical modeling skills (multivariate regression, logistic regression, cluster analysis, design of experiments, decision trees)
  • Strong communication skills and experience working directly with stakeholders
  • Hands-on AI experience (at minimum, active personal use)
Preferred Qualifications:
  • Snowflake
  • AWS
  • Startup mindset
  • Proficiency with Excel and PowerBI
  • Experience with commercial analytics (pricing optimization, customer segmentation, churn/LTV) or operational analytics (logistics, route optimization, maintenance optimization)