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Relocation Package Data Science Jobs in Texas (NOW HIRING)

HP Inc

AI Data Scientist

Houston, TX

$130K - $205K/yr

Strong foundation in data science and core machine learning concepts. * Experience with large ... HP offers a comprehensive benefits package for this position, including: Health insurance Dental ...

Hp

AI Data Scientist

Spring, TX · On-site

$130K - $205K/yr

Represents the data science team for all phases of larger and more-complex development projects ... HP offers a comprehensive benefits package for this position, including: Health insurance Dental ...

HP Development Company, L.P.

AI Data Scientist

Spring, TX · On-site

$130K - $205K/yr

Strong foundation in data science and core machine learning concepts. * Experience with large ... HP offers a comprehensive benefits package for this position, including: Health insurance Dental ...

WorkNovas LLC

Senior Data Scientist

Houston, TX · On-site

Next to the data science capabilities and experiences you should be able to clearly and effectively ... software packages such as R, Python, Matlab. • Good knowledge of cloud environment like ...

SWBC

Data Scientist II

San Antonio, TX · On-site

Stay current with emerging trends in data science, machine learning, and AI, and contribute to the ... Competitive overall compensation package * Work/Life balance * Employee engagement activities and ...

Swbc

Data Scientist II

San Antonio, TX · On-site

Stay current with emerging trends in data science, machine learning, and AI, and contribute to the ... Competitive overall compensation package * Work/Life balance * Employee engagement activities and ...

SWBC

Data Scientist II

San Antonio, TX

Stay current with emerging trends in data science, machine learning, and AI, and contribute to the ... Competitive overall compensation package * Work/Life balance * Employee engagement activities and ...

Publicis Groupe Holdings B.V

Data Scientist

Plano, TX · On-site

Overview The Data Science team uses data-driven insights and recommendations to fuel strategic ... Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as ...

Guidehouse

Data Scientist

Houston, TX · On-site

Job Family: Data Science Consulting Travel Required: Up to 10% Clearance Required: Active Top ... Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and ...

Guidehouse

Data Scientist

Houston, TX · On-site

Job Family: Data Science Consulting Travel Required: Up to 10% Clearance Required: Active Top ... Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and ...

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All JobsRelocation Package Data Science JobsRelocation Package Data Science Jobs in Texas

Relocation Package Data Science information

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 Texas? For Relocation Package Data Science jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Relocation Package Data Science jobs in Texas look for? The top searched job categories for Relocation Package Data Science jobs in Texas are:
What cities in Texas are hiring for Relocation Package Data Science jobs? Cities in Texas 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 Texas as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Operations Data Scientist

Operations Data Scientist

Diamondback Energy

Midland, TX • On-site

Full-time

Posted 22 days ago

Job description

CURRENT EMPLOYEES - Please apply using "Jobs Hub" in Workday. This career site is for external applicants only.
The Operations Data Scientist transforms complex operational, production, and reliability data into actionable insights that improve decision-making, optimize performance, and support strategic initiatives. This role partners with cross-functional teams to develop predictive models, analytics, and reporting solutions that enhance operational efficiency, reduce risk, and improve asset reliability. The ideal candidate combines strong technical expertise with the ability to translate business challenges into data-driven solutions and effectively communicate insights to both technical and non-technical audiences.
Job Duties and Responsibilities:
Include but are not limited to:
  • Develop and maintain predictive, statistical, and reliability models using operational, production, and maintenance data to support performance optimization and risk reduction.
  • Analyze structured and unstructured data to identify trends, anomalies, and opportunities for operational improvement.
  • Perform forecasting, scenario modeling, and techno-economic analysis to support planning, prioritization, and capital allocation decisions.
  • Design and support proactive monitoring tools (e.g., Operate-by-Exception workflows) to identify high-risk assets and emerging operational issues.
  • Build and maintain dashboards, reports, and executive-level summaries using business intelligence tools.
  • Write and manage SQL queries, data transformations, and analytical data models within cloud-based data platforms.
  • Collaborate with cross-functional teams (Operations, Engineering, Maintenance, Reliability, IT, and Finance) to define requirements and deliver scalable data solutions.
  • Support data integration, data quality, and governance to ensure accurate, consistent, and reliable reporting.
  • Identify and implement opportunities for automation, advanced analytics, and process improvements.
  • Present insights and recommendations, translating data into clear, actionable business strategies.

Required Qualifications:
  • Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, Analytics, or a related STEM field.
  • 7+ years of experience in data science, advanced analytics, or a related quantitative field.
  • Strong proficiency in Python and SQL for data analysis, modeling, and transformation.
  • Experience working with operational, production, maintenance, or time-series data.
  • Strong foundation in statistics, applied mathematics, and machine learning methods.
  • Experience with cloud-based data platforms (e.g., Snowflake, Databricks, or similar).
  • Experience with business intelligence and data visualization tools (e.g., Power BI, Tableau, or Spotfire).
  • Strong analytical, problem-solving, and critical thinking skills.
  • Ability to work independently while collaborating effectively across technical and business teams.
  • Strong communication skills, with the ability to explain complex concepts to non-technical audiences.

Preferred Qualifications:
  • Master's degree in Data Science, Statistics, Engineering, Analytics, or a related field.
  • Experience in oil and gas, industrial operations, manufacturing, or other asset-intensive environments.
  • Familiarity with reliability modeling techniques (e.g., Weibull, Cox proportional hazards, Kaplan-Meier).
  • Experience with anomaly detection, predictive maintenance, and asset performance optimization.
  • Experience supporting digital transformation initiatives, Operate-by-Exception workflows, or AI-enabled solutions.
  • Experience with image analytics, drone inspection analytics, or computer vision

Relocation:
This position is not available for relocation assistance.
Work Authorization:
Diamondback Energy is not currently sponsoring employment visas for this position.
Diamondback is an Equal Employment Opportunity Employer. Diamondback provides equal employment opportunities to all qualified applicants without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, veteran or disability status, genetic information, pregnancy, or any other status protected by law. Diamondback participates in E-Verify. Learn more about E-Verify.

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