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Relocation Package Data Science Jobs in Phoenix, AZ

Dlapiper

Data Scientist

Phoenix, AZ · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... DLA Piper offers a comprehensive benefits package, including medical, dental, and vision insurance ...

Lifekind Health

Data Scientist

Scottsdale, AZ · On-site

$80K - $120K/yr

Relocation assistance is not available. Visa sponsorship is not available. Our mission is to bring ... Master's degree in Data Science, CS, Statistics, Biomedical Informatics, or related field preferred ...

Mondo

Data Scientist II

Phoenix, AZ · On-site

$140K - $150K/yr

This position cannot offer relocation at this time Start Date: ASAP Duration: Perm Compensation ... This role owns generative AI and data science initiatives end to end within the environmental ...

Releady

Data + AI Enablement Senior Director

Phoenix, AZ · On-site

$175 - $200/hr

Salary: $175,000 - $200,000 DOE + relocation if needed RESPONSIBILITIES * Define and execute the ... Master's degree in a relevant field (e.g., information systems, computer science, data science ...

USAA

Director, Decision Science Analytics

Phoenix, AZ · On-site

Relocation assistance is available for this position. What you'll do: * As a strategic partner ... Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data) to advance the ...

USAA

Decision Science Analyst Senior

Phoenix, AZ · On-site +1

$87K - $115K/yr

... data-driven optimizations that accelerate business performance across the entire member lifecycle ... Relocation assistance is not available for this position. What you'll do: * Leverages advanced ...

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All JobsRelocation Package Data Science JobsRelocation Package Data Science Jobs in Phoenix, AZ

Relocation Package Data Science information

See Phoenix, AZ salary details

$37.2K

$121.9K

$195.1K

How much do relocation package data science jobs pay per year?

As of Aug 24, 2026, the average yearly pay for relocation package data science 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 is a relocation package for data science jobs?

A relocation package for data science jobs is a set of benefits provided by employers to help new hires move to a new location for work. These packages typically cover expenses such as moving costs, temporary housing, travel expenses, and sometimes assistance with finding permanent housing. The goal is to reduce the financial and logistical burden of relocating so that data scientists can start their new roles smoothly. The specifics of a relocation package can vary widely between companies, locations, and job levels.

How does a typical relocation package support data science professionals moving to a new city or country for a role?

A typical relocation package for data science professionals often includes assistance with moving expenses, temporary housing, and support with visa or work permit processes. You may also receive help with finding permanent accommodation and settling-in services, such as local orientation or language courses. These benefits are designed to ease the transition so you can focus on your new role, collaborate effectively with your team, and integrate quickly into the organization. Relocation packages vary by company, so it's a good idea to clarify the details during the hiring process.

What are the key skills and qualifications needed to thrive as a data scientist, especially when utilizing relocation packages, and why are they important?

To thrive as a Data Scientist, you need strong analytical skills, proficiency in statistics, programming (typically Python or R), and a relevant degree such as in computer science or mathematics. Experience with machine learning frameworks, data visualization tools, and familiarity with cloud platforms and big data systems are commonly required, while certifications like AWS Certified Data Analytics or Google Data Engineer can be advantageous. Excellent problem-solving, communication, and adaptability skills help you collaborate across diverse teams and adjust to new environments, especially during relocation. These skills ensure you can extract actionable insights from complex data, integrate smoothly into new workplaces, and drive impactful business decisions.

What is the difference between Relocation Package Data Science vs Data Analyst?

AspectRelocation Package Data ScienceData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's degree in Statistics, Mathematics, or related fields
Work EnvironmentTech companies, consulting firms, or finance sectors with complex data projectsBusiness, marketing, or finance departments analyzing data for insights
Employer & Industry UsageCommon in industries offering relocation packages for specialized rolesWidely used across industries for routine data analysis tasks

Relocation Package Data Science roles typically require advanced degrees and focus on developing predictive models and algorithms, often in tech or finance sectors. Data Analysts usually have similar educational backgrounds but focus on interpreting data and generating reports. Both roles may involve relocation, but Data Science positions tend to be more specialized and technical.

What are popular job titles related to Relocation Package Data Science jobs in Phoenix, AZ?

For Relocation Package Data Science jobs in Phoenix, AZ, the most frequently searched job titles are:

What job categories do people searching Relocation Package Data Science jobs in Phoenix, AZ look for?

The top searched job categories for Relocation Package Data Science jobs in Phoenix, AZ are:

What cities near Phoenix, AZ are hiring for Relocation Package Data Science jobs?

Cities near Phoenix, AZ with the most Relocation Package Data Science job openings:

Relocation Package Data Science jobs near you
Infographic showing various Relocation Package Data Science job openings in Phoenix, AZ as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $121,868 per year, or $58.6 per hour.

Data Scientist, Data & Science Solutions

Tempe, AZ • On-site

Caris Life Sciences
See more jobs at Caris Life Sciencesexternal

Full-time

Re-posted 7 days ago

Job description

At Caris, we understand that cancer is an ugly word-a word no one wants to hear, but one that connects us all. That's why we're not just transforming cancer care-we're changing lives.
We introduced precision medicine to the world and built an industry around the idea that every patient deserves answers as unique as their DNA. Backed by cutting-edge molecular science and AI, we ask ourselves every day: "What would I do if this patient were my mom?" That question drives everything we do.
But our mission doesn't stop with cancer. We're pushing the frontiers of medicine and leading a revolution in healthcare-driven by innovation, compassion, and purpose.
Join us in our mission to improve the human condition across multiple diseases. If you're passionate about meaningful work and want to be part of something bigger than yourself, Caris is where your impact begins.
Position Summary
Caris Life Sciences is seeking a data scientist to expand, test, and validate a suite of molecular biomarkers aimed to improve the standard of care for patients undergoing treatment for cancer. This is a research role within the Caris signature development program and responsibilities will center on statistical or machine-learning derived predictions of phenotypic treatment response built from the genotypic data types available on Caris molecular sequencing platforms. A successful candidate will have the analytical, code-oriented mindset to create reproducible data science pipelines, and the communication skills to discuss the implications of the scientific results with our medical professionals.
Job Responsibilities
  • Contribute to analytics and research that support internal stakeholders and external partners.
  • Assist in the development and evaluation of molecular signatures and analytical approaches that leverage Caris' data to support partner research and drug discovery strategies.
  • Support preparation of analytical results and figures for internal reviews and client-facing discussions.
  • Develop and maintain tools, workflows, and automated solutions to scale data analytics and data science operations.
  • Support the Biopharma Solutions team with feasibility assessments and tooling to optimize workflows.
  • Write well-structured, well-documented, and reproducible code, including efficient queries and organized codebases.

Required Qualifications
  • PhD in Computational Biology, Bioinformatics, Mathematics, Data Science, Engineering, or related scientific field.
  • Strong programming skills in Python or R, with experience developing reproducible analysis workflows.
  • Experience with Linux ecosystem, Git, and queries from SQL or related database families.
  • Experience with molecular genetics data and/or multimodal real-world data (RWD).
  • Ability to translate biological and scientific questions into analytical or statistical approaches and deliver data-driven insights.
  • Strong verbal and written communication skills, with the ability to explain complex technical concepts in clear language.

Preferred Qualifications
  • Experience with interpretation of clinical health records including Electronic Health Records, insurance claims data, or patient histories.
  • Experience collaborating directly with external partners or clients, particularly in biopharma or healthcare.
  • Good code documentation practices and experience with workflow management packages.
  • Experience working in cloud or HPC clusters.

Physical Demands
  • Will work at a computer most of the time, with some time spent collaborating with subject matter experts and business group leaders either in person or through remote conferencing.
  • Visual acuity and analytical skill to distinguish fine detail.
  • Must possess ability to sit and/or stand for long periods of time.

Training
  • All job specific, safety, and compliance training are assigned based on the job functions associated with this employee.

Other
  • This position may require periodic travel and some evenings, weekends, and/or holidays.

Conditions of Employment: Individual must successfully complete pre-employment process, which includes criminal background check, drug screening, credit check ( applicable for certain positions) and reference verification.
This job description reflects management's assignment of essential functions. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time.
Caris Life Sciences is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability.

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