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At Home Data Scientist Risk Jobs in Arizona (NOW HIRING)

Requirements: * Bachelor's degree required in Mathematics, Data Science, Computer Science ... Familiarity with model governance, model risk management, compliance, or regulatory frameworks is a ...

Data Scientist (AHL)

Tempe, AZ · On-site

$140K - $160K/yr

Excellent risk modeling and analytic skills. * Proficient coding skills in SQL and Python/R ... work-from-home opportunities every day to better serve our members. A career at Achieve is more ...

Excellent risk modeling and analytic skills. * Proficient coding skills in SQL and Python/R ... home opportunities every day to better serve our members. A career at Achieve is more than a job ...

Excellent risk modeling and analytic skills. * Proficient coding skills in SQL and Python/R ... work-from-home opportunities every day to better serve our members. A career at Achieve is more ...

Data Scientist (AHL)

Tempe, AZ · On-site

$140K - $160K/yr

Excellent risk modeling and analytic skills. * Proficient coding skills in SQL and Python/R ... work-from-home opportunities every day to better serve our members. A career at Achieve is more ...

Data Scientist II

Tempe, AZ · Hybrid

$131K - $172K/yr

... risk, build higher-performing provider networks, and create a standout consumer experience in our ... As a Data Scientist II you will drive data science projects across multiple teams and domains. In ...

Data Scientist Responsibilities include: * Responsible for end to end Cards insight creation ... Card Opportunities, Portfolio management, Value at risk, Card Explorer, Spend program etc. * Data ...

Data Scientist Responsibilities include: * Responsible for end to end Cards insight creation ... Card Opportunities, Portfolio management, Value at risk, Card Explorer, Spend program etc. * Data ...

Data Scientist

Phoenix, AZ · On-site

$136K - $164K/yr

Data Scientist III (Generative AI) Location: Phoenix, AZ Start Date: ASAP Duration: Permanent ... Hands-on AI experience (at minimum, active personal use) Preferred Qualifications: * Snowflake

As a Data Scientist at SmartRent, you will work at the intersection of our property technology ... Exposure to model risk management frameworks or ML governance practices, including model cards and ...

Data Scientist II

Tempe, AZ · On-site

$131K - $172K/yr

... risk, build higher-performing provider networks, and create a standout consumer experience in our ... At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring ...

Data Scientist II

Tempe, AZ · Hybrid

$131K - $172K/yr

... risk, build higher-performing provider networks, and create a standout consumer experience in our ... At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring ...

We also help merchants connect with their customers, process exchanges and returns, and manage risk ... at your choice of either the PayPal office or your home workspace, ensuring that you equally have ...

Data Scientist

Scottsdale, AZ · On-site

$80K - $120K/yr

Clinical risk stratification * Patient adherence forecasting * Providerutilizationand throughput prediction * Perform feature engineering using clinical, operational, and financial data * Experiment ...

Data Scientist

Tucson, AZ · On-site +1

$74K - $172K/yr

... models, risk modeling) to address stakeholder questions and identify patterns, anomalies, or ... Must have at least one year of specialized experience equivalent to GS-09 grade level in the ...

... science workloads at scale * Master's degree in Computer Science, Statistics, Mathematics ... Exposure to industry-specific domains such as ecommerce, marketing analytics, risk/fraud, supply ...

Data Scientist II

Phoenix, AZ · On-site

$120 - $170/hr

Hands‑on Databricks experience for building and deploying data science workloads at scale ... Exposure to industry‑specific domains such as e‑commerce, marketing analytics, risk/fraud ...

$49K/yr

The degree must be in a major field of study (at least at the baccalaureate level) that is ... data science to apply scientific methods and techniques to analyze systems, processes, and/or ...

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At Home Data Scientist Risk information

What is the difference between At Home Data Scientist Risk vs At Home Data Analyst Risk?

AspectAt Home Data Scientist RiskAt Home Data Analyst Risk
Required CredentialsTypically requires a master's or Ph.D. in data science, statistics, or related fieldsUsually requires a bachelor's degree in data analysis, statistics, or related areas
Work EnvironmentRemote, often involves complex modeling and predictive analyticsRemote, focuses on data interpretation and reporting
Employer & Industry UsageUsed in tech, finance, healthcare for advanced analyticsCommon in retail, marketing, and business sectors for reporting

The main difference between At Home Data Scientist Risk and At Home Data Analyst Risk lies in the complexity of tasks and required credentials. Data Scientists typically handle advanced modeling and require higher education, while Data Analysts focus on data reporting and analysis with more accessible qualifications. Both roles are remote and industry-specific, but Data Scientists often work on predictive analytics, whereas Data Analysts interpret existing data for decision-making.

What are the most commonly searched types of Data Scientist Risk jobs in Arizona? The most popular types of Data Scientist Risk jobs in Arizona are:
What are popular job titles related to At Home Data Scientist Risk jobs in Arizona? For At Home Data Scientist Risk jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching At Home Data Scientist Risk jobs in Arizona look for? The top searched job categories for At Home Data Scientist Risk jobs in Arizona are:
What cities in Arizona are hiring for At Home Data Scientist Risk jobs? Cities in Arizona with the most At Home Data Scientist Risk job openings:
Infographic showing various At Home Data Scientist Risk job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, and 4% Contract. Highlights an 79% Physical, 1% Hybrid, and 20% Remote job distribution.

Data Scientist

Champions Funding LLC

Gilbert, AZ • On-site

Full-time

Posted 13 days ago


Job description

Description:

• Design, develop, and evaluate machine learning, statistical, and predictive models to solve complex business challenges across multiple departments.
• Apply modern artificial intelligence and machine learning techniques, including large language models (LLMs), generative AI, and advanced analytics, to automate processes, enhance decision-making, and generate business insights.
• Translate business objectives into well-defined analytical, statistical, and machine learning solutions that deliver measurable business value.
• Analyze large, complex datasets to identify trends, patterns, opportunities, and operational improvements.
• Partner with data engineering, IT, and business teams to develop scalable data pipelines and deploy machine learning models into production environments.
• Evaluate data quality, model performance, and AI system limitations while ensuring responsible, ethical, and practical implementation of predictive models.
• Present analytical findings, recommendations, and technical concepts clearly to executive leadership and both technical and non-technical stakeholders.
• Develop, monitor, and optimize predictive models, ensuring ongoing performance, accuracy, and reliability through continuous improvement.
• Stay current with emerging technologies, AI advancements, machine learning methodologies, and data science best practices to identify opportunities for innovation.
• Collaborate across departments to support strategic initiatives, business intelligence projects, forecasting, automation, and operational optimization.
• Maintain thorough documentation of models, methodologies, assumptions, and development processes to support transparency, reproducibility, and governance.
• Support ad hoc analytical projects and provide data-driven recommendations that improve business performance and operational efficiency.

Requirements:

• Bachelor's degree required in Mathematics, Data Science, Computer Science, Engineering, Physics, or another quantitative discipline; advanced degree preferred.
• Strong technical foundation in statistics, predictive modeling, machine learning algorithms, and programming languages such as Python and SQL.
• Demonstrated experience working with modern AI technologies, including deep learning, large language models (LLMs), generative AI, MLOps, or related machine learning frameworks.
• Experience developing, deploying, and maintaining machine learning models in production environments.
• Strong understanding of cloud computing platforms and modern data science tools and technologies.
• Ability to evaluate model performance, balance trade-offs between accuracy, interpretability, speed, and risk, and apply sound judgment in ambiguous situations.
• Experience communicating complex technical concepts to business leaders and collaborating effectively with cross-functional teams.
• Experience within financial services, mortgage lending, or other highly regulated industries preferred.
• Familiarity with model governance, model risk management, compliance, or regulatory frameworks is a plus.