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Relocation Package Data Science Jobs (NOW HIRING)

Director, Data Science

Boston, MA · On-site

$235K - $307K/yr

About the Position As the Director of Data Science at Formation Bio, you will be at the forefront ... Please apply only if you reside in these locations or are willing to relocate Equal Opportunity ...

Data Science Analyst

Springfield, VA · On-site

$133K - $180K/yr

Data Science and Data Engineering Job Qualifications: Skills: Data Management, Metadata Standards ... Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid ...

Data Science and Data Engineering Job Qualifications: Skills: Data Management, Metadata Standards ... Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid ...

US-based eligible employees will receive a comprehensive benefits package that includes health ... Science, Data Strategy, Electrical Transformer, Machine Learning (ML), Master Data Management ...

You will report into Director, Data Science on our Merchant Analytics team in our Analytics ... That's why we offer a comprehensive benefits package to all regular employees, which includes a ...

Finding data science opportunities by exploring our extensive mobile and web data, and applying ... We also offer an excellent relocation package for people living outside of the Netherlands. Here ...

Enterprise Data Architect

Herndon, VA · On-site

$112K - $179K/yr

... data science, and systems integration. At Peraton, you won't just support the mission-you'll help ... Owns the authoritative data models and integration patterns that enable NEEDS package systems to ...

... data science, and systems integration. At Peraton, you won't just support the mission-you'll help ... Owns the authoritative data models and integration patterns that enable NEEDS package systems to ...

Showing results 41-60

Relocation Package Data Science information

See salary details

$37.5K

$122.7K

$196.5K

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

As of Aug 30, 2026, the average yearly pay for relocation package data science in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 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.

More about Relocation Package Data Science jobs

What cities are hiring for Relocation Package Data Science jobs?

Cities with the most Relocation Package Data Science job openings:

What states have the most Relocation Package Data Science jobs?

States with the most job openings for Relocation Package Data Science jobs include:

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

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

Infographic showing various Relocation Package Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Director, Data Science (3 openings)

East Hanover, NJ • On-site, Remote


Novartis
Pharmaceutical and Medicine Manufacturing • 10K+ employees

7.8

Company rating: 7.8 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

49th of 86 rated pharmaceutical

Good employer

Paid breaks

Respectful managers


$194K - $361K/yr

Full-time

Medical, Retirement, PTO

Posted 5 days ago


Job description

Job Description Summary

#LI-Hybrid
This position plays a vital role in integrating AI-driven solutions across various platforms, fostering collaboration between the US commercial team and the India-based data science team. By championing the exploration of cutting-edge AI technologies, the Director ensures that our strategies are informed by the latest advancements in generative AI and large language models (LLMs). This role will collaborate with other members of the team to create, pilot, and scale AI tools to support broader goals to transform business processes and outcomes.
The ideal location for this role is East Hanover, NJ but a distant working arrangement may be possible in certain states. Distant workers are responsible for the cost of home office expenses and periodic travel/lodging will be determined necessary by hiring manager. For associates working on-site, relocation assistance to be within 50 miles of the site may be available. This position will require 10% travel as defined by the business (domestic and or international).
There are 3 positions available.


Job Description

Key Responsibilities:

  • Lead the development and deployment of scalable AI solutions, focusing on advanced AI applications across various business units.

  • Be prepared to engage in hands-on work when necessary to support the team and further our data science initiatives.

  • Collaborate with cross-functional teams to integrate AI-driven solutions across various platforms and services.

  • Drive innovation by staying current with advancements in AI, particularly in generative models and LLM technologies.

  • Champion the exploration and integration of cutting-edge AI technologies, particularly in the field generative AI.

  • Act as a key liaison between the US commercial team and the India-based data science team.

  • Stay abreast of state-of-the-art foundation models and other innovative trends in data science and leverage these insights to inform our strategies.

  • Bring a "can-do" attitude and teamwork and inspire others on culture change.

  • Acts as an AI role model, championing a culture that embraces cutting-edge AI technologies and encourages experimentation and adoption of best practices

Experience:

Novartis is seeking an individual with proven experience working with machine learning models. They should have a strong ability to support cross-team development of AI programs. A firm commitment to driving continuous improvement in AI solutions, informed by current innovations, is vital to this role.

Essential Requirements:

  • Advanced degree in Computer Science, Engineering, Statistics, or related field

  • Minimum of 10 years of experience in data science, with 6 years of experience in the pharmaceutical industryis preferred.

  • Build and deploy scalable machine learning models using cloud-based services such as AWS and Azure

  • Strong understanding of deep learning algorithms, foundational/ LLM models, statistics, and recommendation system

  • Deep knowledge of Large Language Models (LLMs) such as GPT, BERT, Cohere, and their applications in real-world scenarios.

  • Ability to operate in a hands-on capacity when necessary.

  • Proficient in programming languages such as Python, Spark, TensorFlow, and PyTorch

  • Experience with digital channel selection for "next best action"

  • Excellent problem-solving skills and ability to identify creative solutions to complex problems

  • Strong ability to effectively communicate and work across different time zones

Novartis Compensation Summary:

The salary for this position is expected to range between $194,600 and $361,400 per year.

The final salary offered isdeterminedbased on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors.

Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards.

US-based eligible employees will receive a comprehensive benefits package that includes health,lifeand disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days,holidaysand other leaves.


EEO Statement:

The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.


Accessibility and reasonable accommodations

The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to us.reasonableaccommodations@novartis.com or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.


Salary Range

$194,600.00 - $361,400.00


Skills Desired

Artificial Intelligence (AI), Business Value Creation, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Mentorship, Stakeholder Engagement, Statistical Analysis, Time Series Analysis


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