1

Relocation Package Data Science Jobs in Boston, MA

SVP, PRS - Data Science

Boston, MA · On-site

$249K - $333K/yr

The successful candidate is a seasoned leader with expertise data science and model development and ... Chubb offers a comprehensive benefits package, more details on which can be found on our careers ...

Adjunct Professor - Data Science Department: School of Computing and Data Science Location ... Please visit here to see the comprehensive benefits package offered to support the best experience ...

... packages your peers want to use, or design frameworks to elevate your team. Reuse is a strategy, not a buzzword. Skills needed to succeed: * Bachelor's degree in Computer Science, Data Science ...

New

Senior Data Scientist

Boston, MA · On-site +1

$140K/yr

... packages your peers want to use, or design frameworks to elevate your team. Reuse is a strategy, not a buzzword. Skills needed to succeed: * Bachelor's degree in Computer Science, Data Science ...

New

Data Science is a driver of significant competitive advantage for Kemper and is critical to the ... Exposure to MLOps concepts such as model packaging, version control, CI/CD workflows, reproducible ...

Senior Data Scientist

Boston, MA · On-site

$85K - $100K/yr

... science and geospatial packages Proficiency working with relational databases Proficiency with geospatial data processing and management using GIS tools such as ESRI's ArcGIS products or other ...

Staff Data Scientist

Boston, MA · On-site +1

$160K - $195K/yr

... packages your peers want to use, or design frameworks to elevate your team. Reuse is a strategy, not a buzzword. Skills needed to succeed: * Bachelor's degree in Computer Science, Data Science ...

New

Showing results 21-40

Relocation Package Data Science information

See Boston, MA salary details

$40.7K

$133.3K

$213.5K

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

As of Aug 8, 2026, the average yearly pay for relocation package data science in Boston, MA is $133,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $147,800.00 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.

What are popular job titles related to Relocation Package Data Science jobs in Boston, MA? For Relocation Package Data Science jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Relocation Package Data Science jobs in Boston, MA look for? The top searched job categories for Relocation Package Data Science jobs in Boston, MA are:
Infographic showing various Relocation Package Data Science job openings in Boston, MA as of August 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution, with an average salary of $133,343 per year, or $64.1 per hour.

Principal Data Scientist, GTM Data Science

SimpliSafe

Boston, MA

$182K - $242K/yr

Full-time

Medical, Retirement

Posted 9 days ago


SimpliSafe rating

9.5

Company rating: 9.5 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

2nd of 116 rated security


Job description

About SimpliSafe

We're a high-tech home security company that's passionate about protecting the life you've built and our mission of keeping Every Home Secure. And we've created a culture here that cares just as deeply about the career you're building. Ours is a no ego culture of collaboration and innovation where those seeking their next challenge can find big opportunities and make a huge impact on the lives of all those who we protect. We don't just want you to work here. We want you to grow and thrive here.

We're embracing a hybrid work model that enables our teams to split their time between office and home. Hybrid for us means we expect our teams to come together in our state-of-the-art office on two core days, typically Tuesday, Wednesday, or Thursday - working together in person and choosing where they work for the remainder of the week. We all benefit from flexibility and get to use the best of both worlds to get our work done. 

Why are we hiring?

Well, we're growing and thriving. So, we need smart, talented, and humble people who share our values to join us as we disrupt the home security space and relentlessly pursue our mission of keeping Every Home Secure. 

Role Overview

As Principal Data Scientist, GTM Data Science, you will report to the Senior Director of Data Science and serve as a senior technical leader for growth, marketing, customer lifecycle, and personalization. You will shape the strategy and production systems that help SimpliSafe acquire, retain, and grow subscriber relationships while improving the customer experience.

What We're Looking For
  • Deep expertise in marketing science, customer personalization, lifecycle modeling, and applied machine learning.
  • Strong hands-on experience building and deploying machine learning solutions that have driven measurable business outcomes in production.
  • Experience developing models and decision systems for customer acquisition, conversion, retention, segmentation, personalization, lifetime value, and next-best-action use cases.
  • Strong understanding of experimentation, causal inference, incrementality measurement, and marketing effectiveness.
  • Significant experience with MLOps, model deployment, model monitoring, and distributed compute environments.
  • Proficiency with Python, SQL, Databricks, AWS SageMaker, Spark, MLflow, and modern cloud data platforms.
  • Experience designing scalable data and feature pipelines for production ML systems.
  • Ability to operate as a senior individual contributor: setting technical direction, influencing roadmaps, mentoring others, and driving execution across teams.
  • Strong communication skills, with the ability to explain complex modeling concepts to technical and non-technical stakeholders.
  • Typically 6+ years of experience in data science, machine learning, applied statistics, or a related field, or equivalent demonstrated expertise.
Preferred Qualifications
  • Hands-on experience with advanced ML techniques such as Gradient Boosted Trees, neural networks, and transformer-based models.
  • Experience applying modern AI/ML techniques, including unstructured data or advanced signal integration, in production environments.
  • Experience designing or deploying agentic AI solutions that orchestrate models, tools, data, and workflows to automate or augment GTM decision-making.
  • Experience building recommendation, personalization, real-time decisioning, or next-best-action systems.
  • Experience in subscription, ecommerce, smart home, security, telecommunications, insurance, fintech, or other customer lifecycle-driven businesses.
  • Advanced degree in Computer Science, Statistics, Machine Learning, Economics, Applied Mathematics, Engineering, or a related quantitative field.
What Values You'll Share
  • Customer Obsessed - Building deep empathy for our customers, putting them at the core of our work, and developing strong, long-term relationships with them.
  • Aim High - Always challenging ourselves and others to raise the bar.
  • No Ego - Maintaining a "no job too small" attitude, and an open, inclusive and humble style.
  • One Team - Taking a highly collaborative approach to achieving success.
  • Lift As We Climb - Investing in developing others and helping others around us succeed.
  • Lean & Nimble - Working with agility and efficiency to experiment in an often ambiguous environment.
What We Offer
  • A mission- and values-driven culture and a safe, inclusive environment where you can build, grow and thrive  
  • A comprehensive total rewards package that supports your wellness and provides security for SimpliSafers and their families (For more information on our total rewards please click here)
  • Free SimpliSafe system and professional monitoring for your home. 
  • Employee Resource Groups (ERGs) that bring people together, give opportunities to network, mentor and develop, and advocate for change.

The target annual base pay range for this role is $182,000 to $242,600

This target annual base pay range represents our good-faith estimate of what we expect to pay for this role. We use a market-based compensation approach to set our target annual base pay ranges and make adjustments annually. We carefully tailor individual compensation packages, including base pay, taking into consideration employees' job-related skills, experience, qualifications, work location, and other relevant business factors. 

Beyond base pay, we offer a Total Rewards package that may include participation in our annual bonus program, equity, and other forms of compensation, in addition to a full range of medical, retirement, and lifestyle benefits. More details can be found here.

We're committed to fair and equitable pay practices, as well as pay transparency. We regularly review our programs to ensure they remain competitive and aligned with our values.

We wholeheartedly embrace and actively seek applications from all individuals, no matter how they identify. We are committed to cultivating a diverse and inclusive workplace, and we believe our work is enriched when we incorporate a multitude of perspectives, backgrounds, and experiences. We want everyone who works here to thrive and contribute to not only our mission of keeping every home secure, but also to making our workplace safe and supportive for others. If a reasonable accommodation may be needed to fully participate in the job application or interview process, to perform the essential functions of a position, or to receive other benefits and privileges of employment, please contact careers@simplisafe.com.


What SimpliSafe employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom