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Data Science Contract Jobs in Arizona (NOW HIRING)

Contract to Hire * Design and implement scalable MLOps supportive data pipelines for data ingestion ... Expert level programming skills in Python and experience with Data Science and ML packages and ...

ACT Science Tutor

Chandler, AZ · Remote

$18 - $40/hr

Strategic Data Analysis & Reasoning: Skilled at teaching quick graph reading, variable ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

ACT Science Tutor

Tucson, AZ · Remote

$18 - $40/hr

Strategic Data Analysis & Reasoning: Skilled at teaching quick graph reading, variable ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

ACT Science Tutor

Scottsdale, AZ · Remote

$18 - $40/hr

Strategic Data Analysis & Reasoning: Skilled at teaching quick graph reading, variable ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

ACT Science Tutor

Glendale, AZ · Remote

$18 - $40/hr

Strategic Data Analysis & Reasoning: Skilled at teaching quick graph reading, variable ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

ACT Science Tutor

Gilbert, AZ · Remote

$18 - $40/hr

Strategic Data Analysis & Reasoning: Skilled at teaching quick graph reading, variable ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

ACT Science Tutor

Phoenix, AZ · Remote

$18 - $40/hr

Strategic Data Analysis & Reasoning: Skilled at teaching quick graph reading, variable ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

ACT Science Tutor

Tempe, AZ · Remote

$18 - $40/hr

Strategic Data Analysis & Reasoning: Skilled at teaching quick graph reading, variable ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

ACT Science Tutor

Mesa, AZ · Remote

$18 - $40/hr

Strategic Data Analysis & Reasoning: Skilled at teaching quick graph reading, variable ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Guides students through designing controlled experiments, interpreting graphs and data tables ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Guides students through designing controlled experiments, interpreting graphs and data tables ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Guides students through designing controlled experiments, interpreting graphs and data tables ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Showing results 21-40

Data Science Contract information

What is a data science contract?

A Data Science Contract job is a temporary or project-based role where a data scientist is hired for a specific period to work on data-related tasks such as analysis, machine learning, or model development. These roles can be short-term (a few months) or long-term but lack the benefits and job security of full-time employment. Contract data scientists often work with multiple clients, bringing expertise to solve business problems without a long-term commitment.

What kinds of projects and day-to-day tasks can I expect as a data science contract professional?

As a Data Science Contract professional, you can expect to work on a variety of projects such as developing predictive models, analyzing large datasets, creating data visualizations, or advising organizations on best practices for data-driven decision making. Your day-to-day tasks may involve collaborating closely with clients or internal stakeholders to clarify objectives, cleaning and preparing data, developing algorithms, and presenting your findings in clear, actionable formats. Projects often vary in length and scope, offering exciting opportunities to tackle new business challenges across different industries. Flexibility and effective time management are essential, as balancing project deadlines and adapting quickly to new tools or domains are common aspects of contract-based work.

What are the key skills and qualifications needed to thrive in the data science contract position, and why are they important?

To thrive as a Data Science Contract professional, you need a strong foundation in statistical analysis, machine learning, data manipulation, and advanced proficiency in programming languages such as Python or R, typically supported by a relevant degree. Experience with data visualization tools, cloud platforms, and certifications like AWS Certified Data Analytics or Microsoft Certified: Data Scientist are highly valued. Excellent communication, problem-solving abilities, and adaptability are crucial soft skills for collaborating with diverse teams and interpreting client needs. These skills ensure that contract-based data scientists can deliver actionable insights, adapt to new environments, and effectively address client-specific problems within limited project timelines.

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 are popular job titles related to Data Science Contract jobs in Arizona?

For Data Science Contract jobs in Arizona, the most frequently searched job titles are:

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

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

Infographic showing various Data Science Contract job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior AI Engineer / Data Scientist

Koantek

Chandler, AZ • On-site

Contractor

Re-posted 22 days ago


Job description


Senior AI Engineer / Data Scientist (Consulting)
Location: United States (Remote)
Employment Type: Full-Time / Contract
Experience Level: Senior
About the Role:
We are seeking an experienced, highly technical Senior AI Engineer / Data Scientist to join our customer-facing consulting team. This remote role requires a unique blend of advanced Machine Learning (ML) expertise, deep knowledge of MLOps principles, and a proven track record in client-facing implementation.
You will design, deploy, and maintain production-grade ML solutions, including advanced Generative AI and NLP models, for our diverse client base.
Key Responsibilities:
* Technical Consulting: Lead end-to-end ML implementations directly with clients, translating business problems into robust technical solutions.
* MLOps and Pipelines: Design, build, and maintain production-grade ML pipelines with a strong focus on CI/CD, automation, and scalability.
* GenAI and NLP Deployment: Implement and optimize cutting-edge Generative AI applications (such as LLMs and RAG) in live production settings.
* Infrastructure and Data Scale: Manage underlying infrastructure using Docker, pipeline orchestrators, and distributed computing frameworks like Apache Spark.
* Stakeholder Management: Clearly communicate technical findings, proposals, and project status to both technical and non-technical audiences.
Required Qualifications:
* 4+ years of professional experience developing, deploying, and maintaining ML models in a live production environment (Mandatory).
* 3+ years of experience in a customer-facing consulting or Solutions Architect role.
* Strong expertise in the MLOps lifecycle (model versioning, testing, monitoring, and automated deployment).
* Solid hands-on experience with containerization (Docker) and data pipeline orchestration.
* Proven track record of deploying Generative AI and NLP solutions for client applications.
* Excellent verbal and written communication skills.
Preferred Qualifications:
* Hands-on experience with modern ML platform stacks, specifically Databricks MLOps Stacks.
* Deep knowledge of large-scale data processing and distributed machine learning techniques.
* A strong commitment to continuous learning in emerging ML fields and GenAI application architectures.