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Applied Data Scientist Jobs in Phoenix, AZ (NOW HIRING)

Data Scientist II

Tempe, AZ · Hybrid

$131.20K - $172.20K/yr

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 ...

Data Scientist

Scottsdale, AZ · On-site

$80K - $120K/yr

... learning, or applied analytics * Strong Python + advanced SQL skills for data manipulation ... Master's degree in Data Science, CS, Statistics, Biomedical Informatics, or related field preferred ...

Data Scientist II

Tempe, AZ · Hybrid

$131.20K - $172.20K/yr

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 ...

Data Scientist II

Tempe, AZ · Hybrid

$131.20K - $172.20K/yr

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 ...

Data Scientist II

Tempe, AZ · On-site

$131.20K - $172.20K/yr

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 ...

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Applied Science Team The Applied Science team operates at the core of Relativity's AI development.

... learning, or applied analytics * Strong Python + advanced SQL skills for data manipulation ... Master's degree in Data Science, CS, Statistics, Biomedical Informatics, or related field preferred ...

Required Qualifications * 6+ years of experience in data science or applied machine learning roles. * Strong communication and stakeholder management skills. * Strong proficiency in Python (NumPy ...

Required Qualifications * 6+ years of experience in data science or applied machine learning roles. * Strong communication and stakeholder management skills. * Strong proficiency in Python (NumPy ...

Our team is looking for an engineer with background in statistics and data science with strong technical skills in applied statistics, good communication skills, ability to also help support and ...

Required Qualifications • 6+ years of experience in data science or applied machine learning roles. • Strong communication and stakeholder management skills. • Strong proficiency in Python ...

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Applied Data Scientist information

See Phoenix, AZ salary details

$37.2K

$121.9K

$195.1K

How much do applied data scientist jobs pay per year?

As of May 28, 2026, the average yearly pay for applied data scientist in Phoenix, AZ is $121,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,800.00 and $135,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Applied Data Scientist, and why are they important?

To thrive as an Applied Data Scientist, you need a strong background in statistics, machine learning, and programming languages such as Python or R, often supported by a degree in a quantitative field. Familiarity with tools like TensorFlow, PyTorch, SQL, and data visualization platforms, as well as experience deploying models in production, is typically required. Critical thinking, effective communication, and problem-solving skills help translate complex data insights into actionable business solutions. These competencies are essential for extracting value from data and driving impactful, data-informed decisions within organizations.

What are the typical collaboration dynamics between Applied Data Scientists and other teams within an organization?

Applied Data Scientists frequently work cross-functionally, partnering with engineering, product management, and business analytics teams. They translate complex data insights into actionable recommendations, often presenting findings to non-technical stakeholders. Regular interaction with software engineers is common for model deployment, while close alignment with business teams ensures data solutions address real-world challenges. Effective communication and adaptability are key to thriving in these collaborative environments.

What are applied data scientists?

Applied data scientists are professionals who use statistical analysis, machine learning, and programming to extract insights from data and solve real-world business or research problems. Unlike theoretical data scientists, applied data scientists focus on implementing practical solutions that directly impact organizations, such as improving processes, predicting trends, or optimizing operations. They work closely with stakeholders to understand requirements, develop predictive models, and communicate results in a clear and actionable way. Their expertise typically spans data wrangling, model building, and deployment of data-driven applications.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Applied by applied data scientists, it helps prioritize data cleaning, feature selection, and model tuning to focus on the most impactful variables and tasks.

What is the difference between Applied Data Scientist vs Data Analyst?

AspectApplied Data ScientistData Analyst
Required SkillsStatistical modeling, machine learning, programming (Python, R)Data visualization, basic statistics, Excel, SQL
Work EnvironmentDeveloping predictive models, advanced analytics, researchReporting, data cleaning, descriptive analysis
Common ToolsPython, R, SQL, cloud platformsExcel, Tableau, Power BI, SQL
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Applied Data Scientists focus on building predictive models and advanced analytics, requiring programming and statistical skills. Data Analysts primarily handle data reporting and visualization, with a focus on descriptive insights. Both roles are essential in data-driven organizations but differ in complexity and scope.

Infographic showing various Applied Data Scientist job openings in Phoenix, AZ as of May 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 80% Physical, 7% Hybrid, and 13% Remote job distribution, with an average salary of $121,868 per year, or $58.6 per hour.
Senior Applied Data Scientist

Senior Applied Data Scientist

Eliassen Group

Phoenix, AZ • Remote

$80 - $95/hr

Other

Medical, Dental, Vision, Life, Retirement

This job post has expired today. Applications are no longer accepted.


Job description

Senior Applied Data Scientist

Anywhere

Type: Contract

Category: Data

Industry: Retail

Workplace Type: Remote

Reference ID: JN -052026-106994

Date Posted: 05/17/2026

Shortcut: http://careers.eliassen.com/kCjb3j

  • Description

  • Recommended Jobs

Description:

100% Remote, EST hours

Our client, a leader in their industry, is hiring a Senior Applied Data Scientist for a 6+ month contract to support applied data science initiatives focused on a production pricing engine for products and services. This position is 100% remote.

Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $80–$95

Responsibilities:

• Design, develop, and own applied data science and optimization models supporting a pricing engine for products and services

• Apply prescriptive analytics, forecasting, and operations research techniques to pricing, discounting, and value optimization problems

• Translate business requirements into mathematical formulations and data-driven solutions with measurable business impact

• Operationalize and support models using production-quality Python development to deploy solutions into production environments

• Write, optimize, and tune complex SQL queries to support large-scale data access, feature generation, and model validation

Experience Requirements:

• Strong applied data science background, including optimization, forecasting, or prescriptive analytics in a business environment

• Proficient Python development skills with experience supporting or deploying models in production systems

• Strong SQL expertise, including complex query writing and performance tuning

Education Requirements:

• PhD in a quantitative field (e.g., Data Science, Mathematics, Statistics, Computer Science, Industrial Engineering, Operations Research) with 2+ years of applied industry experience OR

• Master’s degree in a quantitative field with 5+ years of applied data science experience OR

• Bachelor’s degree in a quantitative or technical field with 7+ years of applied data science experience

Recruitment Transparency Notice

Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team ( noreply@eliassen.com , 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group’s use of these tools, including AI tools, as part of the application and hiring process.

Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.

W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.

If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following:

· When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc.

· Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group.

If you have any indication of fraudulent activity, please contact fraud@eliassen.com .

About Eliassen Group:

Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients’ capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.

Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws.

Don’t miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!


Eliassen Group logo

About Eliassen Group

Sourced by ZipRecruiter

Eliassen Group provides strategic consulting and talent solutions to drive our clients' innovation and business results. Our purpose is to positively impact the lives of our employees, clients, consultants, and the communities in which we operate. Leveraging over 30 years of success, our expertise in talent solutions, life sciences consulting, Agile consulting, cloud services, risk management, business optimization, and managed services enables us to partner with our clients to execute their business strategy and scale effectively. Headquartered in Reading, MA, and with offices from coast to coast, Eliassen Group offers local community presence and deep networks, as well as national reach.

Industry

It services

Company size

5,001 - 10,000 Employees

Headquarters location

Reading, MA, US

Year founded

1989