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Relocation Package Data Science Jobs in Texas (NOW HIRING)

Relocation assistance is available for this position. What you'll do: * Gathers, interprets, and ... Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial ...

Translate ambiguous business problems into structured data science statements * Organize ... package. Benefits may include health care, retirement savings, paid time off/vacation, and various ...

Translate ambiguous business problems into structured data science statements * Organize ... package. Benefits may include health care, retirement savings, paid time off/vacation, and various ...

Translate ambiguous business problems into structured data science statements * Organize ... package. Benefits may include health care, retirement savings, paid time off/vacation, and various ...

Data Scientist- Senior Associate

Dallas, TX · On-site

$58.40K - $58.90K/yr

Drive the delivery of robust data science features by taking ownership of specific modules from ... Our Total Rewards package includes a variety of medical and dental plans, vision coverage ...

Data Scientist Level 3

Boerne, TX · On-site

$57.54K - $126.59K/yr

Data science * Advanced analytical algorithms * Programming (skill in at least one high-level ... package and are a general guideline only and not intended as a guaranteed and/or implied final ...

Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) disciplineand ... Relocation Eligible - relocationassistanceavailable for this position Learn More & Apply Now!

Data science * Advanced analytical algorithms * Programming (skill in at least one high-level ... package and are a general guideline only and not intended as a guaranteed and/or implied final ...

Experience & Professional Skills * 2-5 years of experience in data science or a related analytical ... The company offers a competitive compensation plan and robust benefits package for full time ...

... science activities. * Develop and maintain robust data pipelines that support the ingestion ... Prepare and deliver comprehensive data packages, analysis summaries, and supporting documentation ...

Experience & Professional Skills * 2-5 years of experience in data science or a related analytical ... The company offers a competitive compensation plan and robust benefits package for full time ...

Experience & Professional Skills * 2-5 years of experience in data science or a related analytical ... The company offers a competitive compensation plan and robust benefits package for full time ...

Senior Data Scientist

Plano, TX

$93.50K - $156.45K/yr

Responsibilities The Data Science Associate Principal Scientist will: * Own and operate the oneNA ... In addition to salary, PepsiCo offers a comprehensive benefits package to support our employees and ...

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Relocation Package Data Science information

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.

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 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.

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 cities in Texas are hiring for Relocation Package Data Science jobs? Cities in Texas with the most Relocation Package Data Science job openings:
WFP Senior Data Scientist

WFP Senior Data Scientist

JPMorgan Chase & Co

Plano, TX • On-site

Full-time

Medical, Retirement

Posted 25 days ago


JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 467 frontline employees who took The Breakroom Quiz

46th of 141 rated banks


Job description

If you like turning real-world problems into models that actually move the needle, you'll fit right in. Our Workforce Planning (WFP) Data Science team builds AI/ML solutions that help forecast demand, optimize capacity, and sharpen scheduling-at the scale of Chase call centers, back office operations, and ~5,200 branches. The work is complex, high-impact, and rarely "plug-and-play"-you'll frame the problem, choose the right math, and deliver solutions built for action. If real-time decisioning sounds like your kind of challenge, this is where you belong.

As a Data Scientist Associate Senior within the Consumer and Community Banking in Workforce Planning (WFP) you will solve complex, data-intensive, and often unstructured business problems that materially impact operations. You will independently frame ambiguous questions, translate them into mathematical formulations, and select modeling approaches grounded in strong theoretical fit-not just benchmark off-the-shelf algorithms. You will design, develop, and productionize rigorous AI/ML solutions that advance next-generation capabilities, including moving toward real-time inference and decision-making across Workforce Planning.

Job Responsibilities

  • Design and development of Machine Learning, Artificial Intelligence and Statistical models.
  • Support AI/ML projects individually or part of a project team.
  • Collaborate with stakeholders to understand the business requirements and clearly define the objectives of any solution.
  • Select and apply the appropriate modeling approach based on principled understanding of the problem structure and underlying assumptions, while staying up to data on the latest AI/ML research.
  • Ensure the robustness of any data science solution.
  • Develop and communicate recommendations and data science solutions in easy-to-understand-way leveraging data to tell a story.
  • Work effectively and gain credibility and respect of others including peers, clients and other stakeholders.

Required Qualifications, Capabilities, and Skills

  • Master's Degree with 3+ years or Doctorate (PhD) with 1+ years of experience operating as an data science professional (e.g. data scientist, statistician, or related professions) in a quantitative field: Statistics, Analytics, Data Science, Engineering, Operations Research, Economics, Mathematics, Machine Learning, Artificial Intelligence, and related disciplines.
  • Experience supporting AI/ML projects with multiple team members.
  • Hands-on experience developing statistical models, machine learning models, and/or artificial intelligence models.
  • Foundational understanding of the math and theory behind AI/ML algorithms, with the ability to reason about model assumptions, behavior, and limitations beyond empirical validation.
  • Proficient in data science programming languages like Python, R or Scala.
  • Experience with big-data technologies such as Hadoop, Spark, SparkML, etc. & familiarity with basic data table operations (SQL, Hive, etc.).
  • Demonstrated relationship building skills, with a superior ability to make things happen through the use of positive influence. 

Preferred Qualifications, Capabilities, and Skills

  • Advanced expertise with Time Series and Operations Research techniques. 
  • Natural Language Processing(NLP)/Natural Language Generation(NLG), Neural Nets, or other ML/AI skills.
  • Prior experience with public cloud technologies such as Amazon Web Services(AWS), Azure or Google Cloud Platform(GCP).
  • Previous experience leading highly complex cross-functional technical projects with multiple stakeholders.

This role is not eligible for visa sponsorship.  This role is 5 days a week full time in office.

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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