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Relocation Package Data Science Jobs (NOW HIRING)

Prescient Edge

Data Science Lead

Miami, FL

Job Title Data Science Lead Location Doral, FL 33122 US (Primary) Category Intelligence Job Type ... To that end, we provide employees with a best-in-class benefits package that includes: * A ...

New

Tombras

Associate Director, Data Science

Knoxville, TN · On-site

$56.30K - $56.80K/yr

Relocation assistance may be provided. What you'll be doing: * Leading the strategy behind and ... D. degree in a relevant field such as Data Science, Statistics, Mathematics, Computer Science ...

Prescient Edge

Data Science Lead

Doral, FL · On-site

Job Title Data Science Lead Location Doral, FL 33122 US (Primary) Category Intelligence Job Type ... To that end, we provide employees with a best-in-class benefits package that includes: * A ...

New

84.51°

Director Data Science

Cincinnati, OH · On-site

We help The Kroger Co., consumer packaged goods companies, agencies, publishers and affiliates ... DIRECTOR, DATA SCIENCE - SUPPLY CHAIN, OPERATIONS, REPLENISHMENT Cincinnati, OH Chicago, IL SUMMARY:

Fidelity Investments

Director, Data Science

Boston, MA · On-site

$126K/yr

The Role This is an individual contributor data science role. In this role, the individual leads ... Base salary is only part of the total compensation package. Depending on the position and ...

Fidelity Investments

Director, Data Science

Boston, MA · On-site +1

$126K/yr

The Role This is an individual contributor data science role.In this role, the individual leads ... Base salary is only part of the total compensation package. Depending on the position and ...

Formation Bio

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 ...

Apple

Sr. Data Science Leader - iCloud

Cupertino, CA

$262.50K - $393.80K/yr

Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined ... as well as relocation. Learn more about Apple Benefits Note: Apple benefit, compensation and ...

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All JobsRelocation Package Data Science Jobs

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 Jun 4, 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 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.

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:
Relocation Package Data Science jobs near you
Infographic showing various Relocation Package Data Science job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 52% Full Time, 17% Part Time, and 30% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Senior Data Science Engineer, Data Science & Analytics (DSA)

Senior Data Science Engineer, Data Science & Analytics (DSA)

Simbe Robotics

San Francisco, CA • On-site

$125K - $165K/yr

Full-time

Posted 19 days ago

Job description

About the Role
We are looking for an experienced Data Scientist to join the Data Science & Analytics team, owning production-grade data pipelines from ideation through delivery. This is an engineering-forward DS role - you'll partner closely with Product Management, Engineering, and Commercial teams to ship reliable, user-facing features that surface insights from our retail data at scale.
You are someone who thrives at the intersection of data science and software engineering: you write production code, own the reliability of the systems you build, and drive cross-functional projects to completion without waiting to be unblocked.
Leveling (Senior or Staff) and compensation will be determined through the interview process based on your background and technical depth.
Key Responsibilities
  • Own production pipelines end-to-end - design, build, and maintain robust data science pipelines that run reliably in production, including monitoring, alerting, and iterative improvement
    • >
  • Scope and deliver features - take ambiguous problems, define clear analytical approaches, and ship client-facing solutions in collaboration with Engineering and Product Management
    • >
  • Drive cross-functional delivery - proactively identify blockers, align stakeholders across teams, and move projects forward with minimal oversight
    • >
  • Apply AI tooling to accelerate work - leverage LLMs, agents, and other AI-assisted workflows to increase the speed and quality of analysis and development
    • >
  • Translate retail data into decisions - connect store-level signals (inventory, on-shelf availability, task execution, etc.) to meaningful business outcomes for both internal teams and retail clients
    • >
  • Raise analytical standards - establish best practices for reproducibility, documentation, and code quality across the team's DS work
    • >
  • Build conversational data experiences - design and prototype AI agent or chatbot interfaces that allow internal or external users to query and explore retail data through natural language (nice to have)
    • >

Qualifications
Required
  • 5+ years of experience in data science or a closely related role, with demonstrable delivery of production features (not just research or prototyping)
    • >
  • Strong Python skills; comfortable writing production-quality, version-controlled code
    • >
  • Solid SQL and experience working with large-scale cloud data platforms (GCP/BigQuery preferred)
    • >
  • Experience with dbt for data transformation - writing models, tests, and documentation as part of a production analytics engineering workflow
    • >
  • Experience owning the full lifecycle of a data science feature: scoping, building, shipping, and maintaining
    • >
  • Proven ability to work across functions - you've partnered with Engineering, Product, or Commercial teams and know how to communicate tradeoffs and drive alignment
    • >
  • Retail industry experience strongly preferred (store operations, inventory, merchandising, supply chain, or equivalent)
    • >
  • Hands-on experience using AI tools (LLM APIs, coding assistants, prompt engineering) to accelerate analytical work
    • >

Preferred
  • Familiarity with MLOps practices, pipeline orchestration (Airflow or similar), model monitoring, CI/CD for data science workflows
    • >
  • Experience with data visualization tools (Looker, Tableau, or similar) for communicating findings to non-technical stakeholders
    • >
  • Background in experimentation design (A/B testing, causal inference)
    • >

Why You'll Love Working with Us
  • Ownership that matters - you'll have real scope over systems and features that run in production and directly affect how our retail partners operate
    • >
  • Cutting-edge stack - GCP, BigQuery, Airflow, and an evolving AI toolchain with a strong appetite for experimentation
    • >
  • High-signal environment - focused team where your work is visible and your technical judgment is trusted
    • >
  • Retail at scale - Simbe's data spans thousands of stores and billions of shelf observations, a genuinely rich and challenging domain
    • >

$125,000 - $165,000 a year
The salary offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including equity compensation, in addition to a full range of medical, financial, and/or other benefits.
Simbe's approach emphasizes total rewards - base pay, equity, incentives, and benefits - rather than viewing compensation as cash alone. We believe the full package, including ownership through equity and well-being support, is what drives engagement, retention, and alignment with our mission.
At Simbe, you will be at the forefront of retail innovation, working with cutting-edge AI and robotics technologies to transform retail operations. Our culture is dynamic, inclusive, and driven by a passion for improving the way retailers operate and serve their customers. Join us to be a part of a team that is not only reshaping the future of retail but also offering immense value to our clients worldwide.
Simbe Values: R. E. T. A. I. L.
Result Driven - We are customer-centric and results-driven. We strive to create immense value for our team, partners, customers, and investors.
Empathetic - We are sensitive and mindful. We support each other in challenging times, both professionally and personally.
Transparent - We highly value open communication internally, and with our partners and customers. We are receptive to feedback.
Agile - We are agile and always eager to learn. We quickly adapt to changes and customer needs.
Innovative - We are bold and innovative, with an intense focus on product design and user experience.
Leaders - We strive for excellence. We are accountable, the best at what we do, and leaders in our field.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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