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Online Data Science Jobs in Arizona (NOW HIRING)

Data Scientist

Phoenix, AZ · On-site

$136K - $164K/yr

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 ...

... data science, machine learning, statistical modeling, and programming expertise to solve business problems. This role focuses on developing, evaluating, and documenting analytical, machine learning ...

New

Data Scientist II

Tempe, AZ · Hybrid

$131K - $172K/yr

Collaborate closely with data science peers and cross-functional partners across business units * Help ensure data science processes and outputs align with broader team strategies and roadmaps

Sr Data Scientist

Scottsdale, AZ · On-site

$123K - $183K/yr

We help merchants and consumers connect, transact, and complete payments, whether they are online ... Drive best practices in data science. * Ensure data quality and integrity in all processes.

Stay current with emerging technologies, AI advancements, machine learning methodologies, and data science best practices to identify opportunities for innovation. * Collaborate across departments to ...

Data Scientist II

Tempe, AZ · Hybrid

$131K - $172K/yr

Collaborate closely with data science peers and cross-functional partners across business units * Help ensure data science processes and outputs align with broader team strategies and roadmaps

Data Scientist II

Tempe, AZ · On-site

$131K - $172K/yr

Collaborate closely with data science peers and cross-functional partners across business units * Help ensure data science processes and outputs align with broader team strategies and roadmaps

Role Requirements: * 8+ years of experience in data science, data engineering, with a proven track record of delivering impactful solutions. * Proficiency in Python, SQL, and machine learning ...

$49K/yr

Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is ...

Role Requirements: * 8+ years of experience in data science, data engineering, with a proven track record of delivering impactful solutions. * Proficiency in Python, SQL, and machine learning ...

Data Engineer

Tempe, AZ · On-site

$174K - $261K/yr

... online data access, analytic data exploration or large-scale data processing. Our mission is to enable our community of data scientists, analysts, and developers to derive faster insights and reduce ...

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field. Master's degree is a plus. * Experience * 3- 5 years of experience in data science or ...

... and data science methodologies to workforce and organizational data to generate actionable insights that support talent and business decisions. This role leverages predictive modeling ...

Skilled at programming in Python in data science, AI, and statistical analysis settings. * Proficient with relational databases and the ability to write SQL queries. * Preferred experience working ...

Skilled at programming in Python in data science, AI, and statistical analysis settings. * Proficient with relational databases and the ability to write SQL queries. * Preferred experience working ...

Skilled at programming in Python in data science, AI, and statistical analysis settings. * Proficient with relational databases and the ability to write SQL queries. * Preferred experience working ...

Showing results 21-40

Online Data Science information

What is online data science?

Online data science refers to the practice of analyzing and interpreting large sets of data using statistical techniques and computational tools, often through remote or web-based platforms. Professionals in this field use programming, machine learning, and data visualization to extract insights and inform decision-making, all while working online or in virtual environments. This approach allows for flexible collaboration, access to global data sources, and scalable solutions for businesses and organizations.

What are the key skills and qualifications needed to thrive as an online data scientist?

To thrive as an Online Data Scientist, you need a solid understanding of statistics, programming (often Python or R), and data analysis, typically supported by a degree in a quantitative field. Proficiency with data manipulation tools like SQL, machine learning libraries (such as scikit-learn or TensorFlow), and cloud platforms (like AWS or Google Cloud) is commonly required. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills for this remote role. These competencies enable you to extract actionable insights from data, collaborate with diverse teams, and drive data-informed decision-making in a virtual environment.

How do online data science professionals typically collaborate with cross-functional teams in a remote environment?

Online data science professionals often work closely with engineers, product managers, and business analysts through digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings and shared documentation help ensure alignment on project goals, data requirements, and timelines. Effective communication is essential for translating complex data insights into actionable recommendations for non-technical stakeholders. Building strong relationships across teams is key to successfully integrating data science solutions into broader organizational strategies.

Can I become an online data scientist?

Yes, you can become an online data scientist by developing skills in programming, statistics, and machine learning, often through online courses and certifications. Many roles require proficiency in tools like Python, R, and SQL, and a strong understanding of data analysis and visualization. Remote data science positions are available across various industries and typically require a relevant degree or experience.

Can I work remotely as an online data scientist?

Online data scientists can often work remotely, as the role primarily involves analyzing data, programming, and using tools like Python or R, which can be done from any location with internet access. Many companies offer remote positions for data science roles, especially for experienced professionals with strong communication skills and proficiency in cloud-based platforms. However, some roles may require on-site collaboration or access to specific hardware or data security protocols.

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

The most popular types of Data Science jobs in Arizona are:

What cities in Arizona are hiring for Online Data Science jobs?

Cities in Arizona with the most Online Data Science job openings:

Infographic showing various Online Data Science job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, 2% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Scientist

Mondo

Phoenix, AZ • On-site

$136K - $164K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 22 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)