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Relocation Package Data Science Jobs in Tulsa, OK

The company is offering a full benefits package including health, retirement, and a robust paid ... Bachelor's degree in Computer Science, Data Science, or a related field, or equivalent combination ...

The company is offering a full benefits package including health, retirement, and a robust paid ... Bachelor's degree in Computer Science, Data Science, or a related field, or equivalent combination ...

Bachelor's degree with a major in Data Science, Statistics, Business, Finance, Economics ... HUB International is proud to offer comprehensive benefit and total compensation packages which ...

Python Tutor

Tulsa, OK ยท Remote

$18 - $40/hr

... handling, modules and packages, list comprehensions, error handling, and popular libraries ... students for data science, web development, automation, and computer science coursework.

Write reports and compile data regarding existing and potential electrical engineering projects ... Relocation package may be available to cover moving expenses, temporary housing, and assistance ...

Write reports and compile data regarding existing and potential electrical engineering projects ... Relocation package may be available to cover moving expenses, temporary housing, and assistance ...

Determine appropriate data collection methods and manage databases * Travel throughout EPA Region 6 ... Bachelor of Science degree in Environmental Science, Geology, Engineering, or a related field * 2-5 ...

Determine appropriate data collection methods and manage databases * Travel throughout EPA Region 6 ... Bachelor of Science degree in Environmental Science, Geology, Engineering, or a related field * 2-5 ...

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Relocation Package Data Science information

See Tulsa, OK salary details

$34.3K

$112.1K

$179.5K

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

As of Aug 25, 2026, the average yearly pay for relocation package data science in Tulsa, OK is $112,106.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $124,200.00 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 Tulsa, OK?

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

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

The top searched job categories for Relocation Package Data Science jobs in Tulsa, OK are:

Data Platform Lead

System One

Tulsa, OK โ€ข On-site

Contractor

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago


Job description

System One has an exciting Data Platform Lead opportunity with a partner in the Tulsa, OK area. This position is a permanent, full-time opportunity requiring in-person, on-site work during normal business hours. The company is offering a full benefits package including health, retirement, and a robust paid time off plan. Successful candidates must be able to provide proof of ability to work in the U.S. without sponsorship. This position is not open to corp-to-corp, subcontractor or independent consulting arrangements.

Responsibilities

  • Own and manage the organization's data ecosystem within Microsoft Fabric and Power BI
  • Design and maintain scalable data architecture including lake house structures, semantic models, and datasets
  • Develop and maintain data pipelines for ingesting, transforming, and integrating data from multiple systems
  • Build and optimize enterprise Power BI datasets and reports to support decision-making across the organization
  • Develop and maintain data models that support consistent and reliable analytics
  • Establish and maintain data governance, data quality, and documentation standards
  • Create and maintain a long-term data roadmap aligned with organizational strategy and analytics maturity goals
  • Identify opportunities to expand advanced analytics capabilities such as predictive analytics, self-service BI, and automated insights
  • Partner with business leaders and stakeholders to understand data needs and prioritize analytics initiatives
  • Ensure performance, scalability, and reliability of the data platform
  • Implement best practices for data security, access controls, and compliance
  • Support and enable self-service analytics across departments through standardized datasets and semantic models
  • Understand Data Loss Prevention (DLP) policies and tools, including implementing and managing data protection controls within Microsoft Fabric, Power BI, and the broader Microsoft ecosystem
  • Monitor and troubleshoot data pipelines, reports, and platform performance
  • Continuously evaluate new capabilities within Microsoft Fabric and Power BI to improve analytics across the organization

Requirements

  • Bachelor's degree in Computer Science, Data Science, or a related field, or equivalent combination of education and experience
  • 5+ years of experience in data engineering, analytics engineering, or business intelligence development
  • 3+ years working with Microsoft data platforms such as Power BI, Azure, or Microsoft Fabric
  • Microsoft Fabric expertise including Lakehouse architecture, Data Factory pipelines, notebooks, and semantic models
  • Advanced Power BI development including data modeling, DAX, report optimization, and enterprise dataset management
  • Strong SQL proficiency for querying, transformation, and performance optimization
  • Data modeling expertise, including star schema, dimensional modeling, and semantic layer design
  • Experience building and managing data pipelines for ingestion, transformation, and orchestration
  • Understanding of modern data architectures, including data lakes, lake houses, and warehouse concepts
  • Experience with ETL/ELT processes and data transformation frameworks
  • Ability to design scalable data platforms that support enterprise analytics and reporting
  • Design and enforce Data Loss Prevention (DLP) policies to safeguard sensitive data, ensure compliance with organizational standards, and prevent unauthorized data access or sharing across the data platform
  • Experience implementing data governance and data quality practices
  • Strong understanding of business intelligence concepts and KPI development
  • Experience integrating data from multiple sources such as ERP, CRM, SaaS platforms, and operational systems
  • Knowledge of data security and access management within Microsoft environments
  • Strong analytical and problem-solving skills with the ability to translate business needs into technical solutions
  • Experience with version control and development best practices
  • Strong communication skills for working with business stakeholders and leadership

What Sets You Apart

  • Experience building or leading a data platform practice, team, or Center of Excellence from the ground up or through a significant growth phase
  • Track record of end-to-end platform ownership: from architecture design through scaled adoption, including driving self-service BI adoption across non-technical business users
  • Knowledge of environmental manufacturing processes and sustainability practices
  • Experience working in a fast-paced, Agile environment
  • Ability to manage multiple priorities and stakeholders effectively
  • Experience coordinating with IT infrastructure, cybersecurity, and enterprise governance processes

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

#M- #LI- Ref: #208-Rowland Tulsa


System One logo

About System One

Sourced by ZipRecruiter

System One helps employers get work done more efficiently and economically without compromising quality. Over our 35+ year history, we've helped connect thousands of talented people with innovative companies. The excitement of a perfect fit motivates us every single day.

Industry

Business consulting services and recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Pittsburgh, PA, US