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Associate Data Scientist Deep Learning Jobs in Arizona

Data Scientist II

Tempe, AZ · Hybrid

$131K - $172K/yr

Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims ... As a Data Scientist II you will drive data science projects across multiple teams and domains. In ...

The Data Scientist III independently designs, develops, and delivers AI, advanced analytics and machine learning solutions that directly impact business outcomes. The incumbent owns complex AI and ...

Data Scientist II

Phoenix, AZ · On-site

$120 - $160/hr

As a Data Scientist , you'll be a key contributor in designing, building, and evaluating data ... Databricks certifications (e.g., Machine Learning Associate/Professional) * Knowledge of model ...

As a Data Scientist , you'll be a key contributor in designing, building, and evaluating data ... Databricks certifications (e.g., Machine Learning Associate/Professional) * Knowledge of model ...

Data Scientist II

Phoenix, AZ · On-site

$120 - $170/hr

As a Data Scientist , you'll be a key contributor in designing, building, and evaluating data ... Databricks certifications (e.g., Machine Learning Associate/Professional) * Knowledge of model ...

The Data Scientist III independently designs, develops, and delivers AI, advanced analytics and machine learning solutions that directly impact business outcomes. The incumbent owns complex AI and ...

The Data Scientist III independently designs, develops, and delivers AI, advanced analytics and machine learning solutions that directly impact business outcomes. The incumbent owns complex AI and ...

The Data Scientist will serve as a key contributor to the company's data and analytics strategy ... Develop, validate, and deploy machine learning and statistical models to support manufacturing and ...

The Data Scientist III independently designs, develops, and delivers AI, advanced analytics and machine learning solutions that directly impact business outcomes. The incumbent owns complex AI and ...

As a Data Scientist , you'll be a key contributor in designing, building, and evaluating data ... Databricks certifications (e.g., Machine Learning Associate/Professional) * Knowledge of model ...

The Data Scientist will serve as a key contributor to the company's data and analytics strategy ... Develop, validate, and deploy machine learning and statistical models to support manufacturing and ...

As a Data Scientist , you'll be a key contributor in designing, building, and evaluating data ... Databricks certifications (e.g., Machine Learning Associate/Professional) * Knowledge of model ...

The Data Scientist will serve as a key contributor to the company's data and analytics strategy ... Develop, validate, and deploy machine learning and statistical models to support manufacturing and ...

Data Scientist II

Tempe, AZ · On-site

$131K - $172K/yr

Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims ... As a Data Scientist II you will drive data science projects across multiple teams and domains. In ...

Data Scientist

Phoenix, AZ · On-site

$161K - $228K/yr

... scientist to support Thermal Compression Bonding (TCB) process control, manufacturing data ... Develop and validate data analytics and machine learning models to support: process monitoring ...

Showing results 21-40

Associate Data Scientist Deep Learning information

What is the difference between Associate Data Scientist Deep Learning vs Data Scientist?

AspectAssociate Data Scientist Deep LearningData Scientist
Required CredentialsBachelor's or Master's in CS, Data Science, or related; familiarity with deep learning frameworksBachelor's or Master's in CS, Statistics, or related; broader data analysis skills
Work EnvironmentFocus on developing deep learning models, often in AI or ML teamsBroader data analysis, visualization, and modeling across various projects
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, retail, tech, and more

The main difference is that Associate Data Scientist Deep Learning specializes in developing deep learning models, requiring specific knowledge of neural networks and frameworks. Data Scientists have a broader scope, including traditional data analysis, statistical modeling, and visualization. Both roles often require similar educational backgrounds but differ in technical focus and project types.

What are the most commonly searched types of Data Scientist Deep Learning jobs in Arizona?

The most popular types of Data Scientist Deep Learning jobs in Arizona are:

Data Scientist II

Oscar Health

Tempe, AZ • Hybrid

$131K - $172K/yr

Full-time

Medical, PTO

Re-posted 13 days ago


Oscar Health rating

6.9

Company rating: 6.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

259th of 310 rated insurance


Job description

Hi, we're Oscar. We're hiring a Data Scientist II to join our Data team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves - one that behaves like a doctor in the family.

About the role:

Oscar's data team is focused on pushing our understanding of this complex landscape of health care and insurance business. Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience in our product.

As a Data Scientist II you will drive data science projects across multiple teams and domains. In this role, you'll take ownership of analytical and modeling work, contribute to technical direction, and partner closely with business, engineering, product and data stakeholders to deliver impactful solutions.

This is a mid-level role for data scientists who can operate independently, manage ambiguity, and apply advanced analytics or modeling techniques with minimal oversight.
You will report into a leader on the Data team (Senior Data Scientist and above). This posting is representative of multiple roles, and final team placement will be determined during the interview process.

Work Location: This position is a hybrid role based in our New York City office, Los Angeles Office, or Tempe Office requiring a hybrid work schedule with 3 days of in-office work per week Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid

Pay Transparency: The base pay for this role is: $131,200 - $172,200 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses.

Responsibilities:

  • Research, develop, and maintain data pipelines, statistical models, and advanced analytical solutions
  • Own projects end-to-end, including problem definition, implementation, validation, and iteration
  • Deliver high-quality analytical and modeling outputs with limited manager oversight
  • 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
  • Provide guidance or informal mentorship to junior data scientists or analysts when needed
  • Contribute to improving data science practices, tooling, and documentation

Requirements:

  • 3+ years of experience in data science, applied analytics, or a related quantitative field (industry, academia, or both)
  • 2+ years of experience using SQL and Python and/or R to query, analyze, and manipulate data
  • 2+ years of experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing

Bonus points:

  • Master's degree in a quantitative or technical field
  • Knowledge of or previous work experience in health care or health insurance
  • Experience mentoring or supporting junior team members
  • Experience deploying or supporting models in production environments

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