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Relocation Package Data Science Jobs in North Carolina

US Department of Commerce

Data Scientist

Asheville, NC · On-site

$106K/yr

... package. You MUST meet one of the following basic education requirements: To qualify for the 1560 series: EDUCATION: A. Degree: Mathematics, statistics, computer science, data science or field ...

GRVTY

Data Scientist - Senior

Sneads Ferry, NC · On-site

... science solutions, automated workflows, conduct analysis, use available tools to analyze data ... That's why we offer a comprehensive and competitive benefits package designed to support your well ...

Jobsultant Solutions

Data Analyst

Charlotte, NC · On-site

Industry experience in predictive modeling, data science and analysis. Knowledge of Machine Learning frameworks and packages, including Keras, TensorFlow, Scikit-Learn and cloud computing platforms ...

Zifo

Sr. Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Help grow and develop Zifo US Data Science business function. Required Skills: * Expertise in ... We offer a competitive compensation package including accrued vacation, medical, dental, vision ...

Zifo

Sr. Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Help grow and develop Zifo US Data Science business function. Required Skills: * Expertise in ... We offer a competitive compensation package including accrued vacation, medical, dental, vision ...

Zifo

Sr. Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Help grow and develop Zifo US Data Science business function. Required Skills: * Expertise in ... We offer a competitive compensation package including accrued vacation, medical, dental, vision ...

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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 North Carolina?

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

What job categories do people searching Relocation Package Data Science jobs in North Carolina look for?

The top searched job categories for Relocation Package Data Science jobs in North Carolina are:

What cities in North Carolina are hiring for Relocation Package Data Science jobs?

Cities in North Carolina 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 North Carolina as of September 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 100% In-person job distribution.

Senior Data Scientist, Personal Finance

Charlotte, NC • On-site

Intuit
Computer and Electronic Product Manufacturing • 5 - 10K employees
Learn more about Intuitexternal

$162K - $220K/yr

Full-time

Posted 14 days ago

Intuit rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

105th of 247 rated software companies

Job description


We are seeking an experienced Senior Data Scientist to be a core individual contributor within the Personal Finance portfolio, one of the fastest-growing areas of the business. You will own analysis, measurement, and modeling that shape how we grow transactions, improve the member shopping experience, and expand top-of-funnel signals across a Personal Finance vertical.


This is a high-ownership individual contributor role. You will work directly with vertical, product, and marketing leaders to frame problems, run experiments, and translate findings into decisions. The ideal candidate combines strong technical depth with business judgment and the ability to influence partners without formal authority.


Responsibilities


Own the analytics and measurement roadmap for your vertical, translating business goals into a prioritized plan. 


Design, run, and read experiments to grow transactions and improve conversion, using rigorous measurement to validate what works. 

Build models and analyses for ranking, targeting, personalization, and top-of-funnel signal expansion that drive member and business outcomes. 


Conduct funnel, conversion, and incrementality analysis to identify the biggest opportunities and size their impact. 


Partner directly with Product, Marketing, and AI Science to embed data-driven decisions into the member experience and end-to-end journeys. 


Develop the key success metrics and leading indicators that show how the vertical is performing and whether each initiative is delivering the desired outcomes. 


Use Generative AI tools (for example, Claude) to accelerate analytical workflows and scale your impact. 


Communicate insights clearly to partners at all levels, turning complex analysis into concise, actionable recommendations. 


Collaborate across data science and data engineering to build durable datasets and analytics capabilities.


Qualifications


Minimum 4 or more years of experience in analytics or data science. 


Strong hands-on foundation in SQL and data visualization tools such as Tableau or Looker. 


Experience applying advanced analytics and machine learning techniques (for example, Python, ML models, experimentation, LLMs)  to real business problems. 


Proven ability to design and interpret experiments and to measure incremental impact. 


Ability to build analytical frameworks for ambiguous problems and to drive them to a decision. 


Strong communication skills and the ability to influence product and business partners without formal authority. 

Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related field. 


Experience in fintech or financial services is a plus.


Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. 

The expected base pay range for this position is:
Oakland $162,500 - $220,000
Employment Type: Full-Time

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