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Junior Data Scientist Relocation Jobs in Arizona

Data Scientist II

Tempe, AZ · Hybrid

$131K - $172K/yr

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 ...

Data Scientist II

Tempe, AZ · Hybrid

$131K - $172K/yr

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 ...

Data Scientist II

Tempe, AZ · On-site

$131K - $172K/yr

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 ...

The incumbent serves as a technical leader on project teams, a mentor to junior data scientists, and a trusted analytical partner to business stakeholders by clearly communicating insights, tradeoffs ...

The incumbent serves as a technical leader on project teams, a mentor to junior data scientists, and a trusted analytical partner to business stakeholders by clearly communicating insights, tradeoffs ...

The incumbent serves as a technical leader on project teams, a mentor to junior data scientists, and a trusted analytical partner to business stakeholders by clearly communicating insights, tradeoffs ...

Sr Data Scientist

Scottsdale, AZ · On-site

$123K - $183K/yr

Mentor and guide junior data scientists. * Stay updated with the latest trends in data science. Expected Qualifications: * 3+ years relevant experience and a Bachelor's degree OR Any equivalent ...

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 ...

As a Data Scientist , you'll be a key contributor in designing, building, and evaluating data ... junior team members What you bring to the table! * 3-5 years of professional experience as a data ...

As a Data Scientist , you'll be a key contributor in designing, building, and evaluating data ... junior team members What you bring to the table! * 3-5 years of professional experience as a data ...

As a Data Scientist , you'll be a key contributor in designing, building, and evaluating data ... junior team members What you bring to the table! * 3-5 years of professional experience as a data ...

Data Scientist II

Phoenix, AZ · On-site

$140K - $150K/yr

Data Scientist II, Generative AI Location/Type: Onsite, Phoenix, AZ - Must currently permanently ... This position cannot offer relocation at this time Start Date: ASAP Duration: Perm Compensation ...

... junior staff while securing project success and maintaining exemplary standards. This role offers ... data science and machine learning methodologies to analyze vast claims and clinical data - Generate ...

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Junior Data Scientist Relocation information

What is a junior data scientist relocation?

Junior Data Scientist relocation jobs are entry-level positions in data science that specifically offer or require candidates to move to a new city, state, or country for employment. These roles typically involve assisting with data analysis, building machine learning models, and supporting senior data scientists, while providing support such as relocation packages or visa sponsorship to help with the move. Relocation opportunities are common in global tech companies and organizations with multiple offices, and they can provide valuable experience and exposure to new working environments.

What are some common challenges faced by junior data scientists when relocating for a new role?

Junior data scientists relocating for a new role often face challenges such as adapting to a new organizational culture, understanding unfamiliar data systems, and building relationships with new colleagues. Additionally, adjusting to a new city or country can add a layer of complexity, including finding suitable housing and managing logistics. However, many companies offer onboarding programs, mentorship, and relocation assistance to help ease this transition, enabling new hires to quickly become productive members of the team.

What are the key skills and qualifications needed to thrive as a junior data scientist, and why are they important?

To thrive as a Junior Data Scientist, you need strong analytical skills, a solid understanding of statistics and machine learning, and a relevant degree in fields such as computer science, mathematics, or statistics. Familiarity with programming languages like Python or R, experience using data visualization tools, and knowledge of SQL databases are typically required. Effective communication, problem-solving abilities, and a willingness to learn make candidates stand out in this role. These competencies are vital for extracting insights from data, collaborating with teams, and driving data-driven decision-making in organizations.

What is the difference between Junior Data Scientist Relocation vs Junior Data Analyst?

AspectJunior Data Scientist RelocationJunior Data Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related field; some roles prefer certifications like Microsoft Certified Data AnalystBachelor's in related fields; certifications are optional
Work EnvironmentTech companies, research labs, or consulting firms; often collaborative and project-basedBusiness, finance, or marketing departments; often in office settings
Employer & Industry UsageUsed across tech, finance, healthcare, and consulting industriesCommon in retail, finance, healthcare, and marketing sectors

Junior Data Scientist Relocation roles focus on developing predictive models and advanced analytics, requiring stronger technical skills. Junior Data Analysts primarily handle data collection, cleaning, and basic reporting. While both roles involve working with data, the Data Scientist position emphasizes statistical modeling and machine learning, whereas the Data Analyst role centers on descriptive analytics and reporting. The choice depends on your technical expertise and career goals.

What are popular job titles related to Junior Data Scientist Relocation jobs in Arizona?

For Junior Data Scientist Relocation jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Junior Data Scientist Relocation jobs in Arizona look for?

The top searched job categories for Junior Data Scientist Relocation jobs in Arizona are:

What cities in Arizona are hiring for Junior Data Scientist Relocation jobs?

Cities in Arizona with the most Junior Data Scientist Relocation job openings:

Data Scientist II

Oscar Health

Tempe, AZ • Hybrid

$131K - $172K/yr

Full-time

Medical, PTO

Re-posted 18 days ago


Oscar Health rating

6.9

Company rating: 6.9 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

260th of 311 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

What Oscar Health employees say

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