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Remote Salesforce Data Scientist Jobs (NOW HIRING)

Manager, Salesforce Data Engineering

$56.75 - $75.25/hr

... LI-JC2 #LI-REMOTE About the Role The Manager, Salesforce Data Engineering leads a team of ... Bachelor's degree in Computer Science, Information Systems, Engineering, Data Engineering, or a ...

Salesforce Data Cloud Architect

$70.75 - $87.50/hr

Salesforce Data Cloud Architect Location - East Coast candidates are preferred (preferably from NY / NJ - other east coast locations are also acceptable) Remote (But only from East Coast) * 10+ years ...

Posted today

Salesforce Data Cloud / DMP consultant

$56.75 - $75.25/hr

... in Computer Science, Engineering, or a related field - Experience with agile development methodologies is a plus Preferred Qualifications: - Salesforce Data Cloud Consultant certification ...

Data Scientist

Northbrook, IL · Remote

$80K - $120K/yr

Experience with Salesforce data and reporting * Experience in business services or manufacturing ... Accepting applications until 12/15/2026 #LI-SG2 #LI-Remote * Process, cleanse, and verify the ...

USA - (Remote) Experience Level: 8+ Years Key Responsibilities: * Lead the design and implementation of Salesforce Data Cloud / Data 360 (including Data Cloud One) solutions * Ensure seamless ...

Data Scientist

Northbrook, IL · Remote

$80K - $120K/yr

Experience with Salesforce data and reporting * Experience in business services or manufacturing ... Accepting applications until 12/15/2026 #LI-SG2 #LI-Remote * Process, cleanse, and verify the ...

Sr. Salesforce Architect

Reston, VA · Remote

$70.75 - $87.50/hr

Remote (Very Occasional Visit to Reston, VA) Clearance Requirement: Must be eligible to obtain ... Data Cloud, along with strong knowledge of Salesforce architectural best practices. Key ...

Salesforce Data Cloud Architect

Atlanta, GA · Remote

$65.25 - $84/hr

Atlanta, GA (Remote) Job Type: Contract Experience Required: Min 10+ years Required: * Client is specifically looking for a top-notch Data Cloud Architect who has played an extensive role in ...

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Remote Salesforce Data Scientist information

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$46K

$165K

$243.5K

How much do remote salesforce data scientist jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote salesforce data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Salesforce Data Scientist vs Remote Salesforce Data Analyst?

AspectRemote Salesforce Data ScientistRemote Salesforce Data Analyst
Required CredentialsData science degree, Salesforce certifications, programming skillsData analysis certifications, Salesforce certifications, basic SQL skills
Work EnvironmentCollaborates with data science teams, develops predictive modelsPrepares reports, analyzes Salesforce data, supports decision-making
Employer & Industry UsageTech companies, CRM providers, large enterprises using SalesforceSalesforce users, marketing teams, sales departments

Remote Salesforce Data Scientists focus on building predictive models and advanced analytics, requiring programming and data science expertise. In contrast, Remote Salesforce Data Analysts primarily interpret Salesforce data to generate reports and insights. Both roles are vital in organizations leveraging Salesforce, but they differ in technical complexity and scope.

What is a remote Salesforce data scientist?

A Remote Salesforce Data Scientist is a professional who uses data science techniques to analyze and interpret data within Salesforce, a popular customer relationship management (CRM) platform, while working from a remote location. They leverage tools like Salesforce Einstein Analytics and programming languages such as Python or R to extract insights, build predictive models, and help organizations make data-driven decisions. Their work often involves integrating large datasets, cleaning and preprocessing data, and presenting actionable findings to stakeholders. By working remotely, they can collaborate with global teams and access Salesforce environments securely from anywhere.

What are the key skills and qualifications needed to thrive as a remote Salesforce data scientist, and why are they important?

To thrive as a Remote Salesforce Data Scientist, you need a strong background in statistics, data analysis, and machine learning, typically supported by a relevant degree and experience with CRM data. Proficiency in Salesforce platform tools, SQL, Python or R, and familiarity with data visualization and ETL systems are crucial, and certifications like Salesforce Data Architect or Tableau can be advantageous. Strong problem-solving abilities, communication skills, and the capacity to work independently make someone stand out in this remote role. These skills are essential to extract actionable insights from Salesforce data, support business decisions, and collaborate effectively in a distributed environment.

Does Salesforce offer remote positions?

Salesforce offers remote positions for various roles, including data scientists, allowing employees to work from home or other locations. Many remote opportunities require familiarity with Salesforce tools, data analysis, and cloud-based platforms. Availability of remote jobs can vary by role and location, so checking current listings is recommended.

How does a remote Salesforce data scientist typically collaborate with cross-functional teams?

As a Remote Salesforce Data Scientist, you’ll frequently collaborate with sales, marketing, and IT teams to interpret data needs and deliver actionable insights. Communication is primarily conducted through virtual meetings, shared dashboards, and cloud-based project management tools. You'll often present findings, discuss data-driven strategies, and partner with Salesforce administrators to ensure data quality and accessibility. This role requires strong interpersonal skills and the ability to translate complex analyses into practical business recommendations for various stakeholders.
More about Remote Salesforce Data Scientist jobs
What cities are hiring for Remote Salesforce Data Scientist jobs? Cities with the most Remote Salesforce Data Scientist job openings:
What are the most commonly searched types of Salesforce Data Scientist jobs? The most popular types of Salesforce Data Scientist jobs are:
What states have the most Remote Salesforce Data Scientist jobs? States with the most job openings for Remote Salesforce Data Scientist jobs include:
What job categories do people searching Remote Salesforce Data Scientist jobs look for? The top searched job categories for Remote Salesforce Data Scientist jobs are:
Infographic showing various Remote Salesforce Data Scientist job openings in the United States as of August 2026, with employment types broken down into 5% Internship, 70% Full Time, 5% Part Time, and 20% Contract. Highlights an 100% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Manager, Salesforce Data Engineering

Veeam Software

Remote

$56.75 - $75.25/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago


Veeam Software rating

8.9

Company rating: 8.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

40th of 242 rated software companies


Job description

Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world's biggest brands.
#LI-JC2 #LI-REMOTE
About the Role
The Manager, Salesforce Data Engineering leads a team of Salesforce system engineers responsible for building and supporting reliable, secure, and scalable data solutions across Salesforce and connected enterprise systems. This role will immediately own two critical workstreams: Dual Org Sync, the Salesforce-to-Salesforce integration connecting our two Salesforce orgs, and Data Migration, our Salesforce-to-Salesforce migration efforts, while managing, mentoring, and growing the engineers who deliver them. The ideal candidate combines hands-on Salesforce platform development and integration experience with proven team leadership, and is fluent in applying cutting-edge AI technologies to real engineering work.
What You'll Do
  • Own and lead the Dual Org Sync workstream, the Salesforce-to-Salesforce integration between our two Salesforce orgs, ensuring reliable, secure, and scalable data flow across systems.
  • Own and lead the Data Migration workstream, driving Salesforce-to-Salesforce migration efforts from planning through cutover with strong data integrity and minimal business disruption.
  • Lead the design, delivery, and support of Salesforce data solutions that are scalable, reliable, secure, and maintainable.
  • Translate business needs into practical technical plans across data modeling, integrations, migrations, transformations, automation, and operational support.
  • Lead and manage a team of engineers, including hiring, onboarding, workforce planning, regular feedback, performance management, and career development.
  • Partner with product, business stakeholders, engineering, QA, data warehouse, and data quality teams to align priorities, manage risk, and deliver successful outcomes.
  • Champion the adoption of cutting-edge AI technologies within the team, applying AI-powered tools and agentic approaches beyond basic chat use, to automate workflows, accelerate delivery, and strengthen data quality.
  • Improve platform health by simplifying data flows, reducing technical debt, strengthening data quality controls, and improving observability and supportability.
  • Guide technical decisions through design reviews, code and automation reviews, troubleshooting, and knowledge sharing.
  • Create and maintain documentation for data models, system relationships, data flows, dependencies, support procedures, and operational considerations, while fostering a collaborative, inclusive team culture.
What You'll Bring
  • 8+ years of experience in software / data engineering, with 4+ years developing on the Salesforce platform.
  • 2+ years of people management experience leading data engineering or Salesforce engineering teams, including hiring, performance management, and career development.
  • Proven experience designing, delivering, and supporting integrations, migrations, transformations, reconciliations, and monitoring across Salesforce and enterprise systems; direct hands-on experience with Salesforce-to-Salesforce integrations and org-to-org data migrations strongly preferred.
  • Hands-on experience developing on the Salesforce platform (Apex, Lightning Components, Flow, and related tools), with strong expertise in Salesforce data modeling, SQL, SOQL, CPQ architectures, security, automation, platform design patterns, and data lifecycle management.
  • Experience with enterprise ETL or data movement tools, such as dbAmp or similar platforms.
  • Demonstrated, hands-on proficiency with cutting-edge AI technologies, such as building or deploying AI agents, LLM-powered automation, or applied AI/ML tooling in engineering workflows, beyond general-purpose chat usage.
  • Strong strategic prioritization and problem-solving skills, including triage, debugging, performance optimization, root cause analysis, and incident support.
  • Clear communication and collaboration skills, with the ability to influence technical direction and align senior stakeholders across technical and non-technical teams.
Bonus Skills
  • Salesforce Administrator, Platform App Builder, or Salesforce Platform Developer certifications required.
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Data Engineering, or a related field preferred; equivalent practical experience also considered.
  • Demonstrated application of AI/agentic tooling in professional projects (portfolio, case studies, or concrete examples) strongly preferred.

What you'll get
  • Unlimited paid time off, 12 paid holidays including 4 global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
  • Paid parental leave: 8 weeks for all parents, 16 weeks for birthing parents
  • Medical, dental, and vision coverage starting on your first day
  • Mental health support, therapy sessions, and digital wellness tools via our Employee Assistance Program
  • 401(k) retirement plan with company matching contributions
  • Fertility, adoption, and surrogacy support through Maven, plus paid volunteer time
  • AirVet: 24/7 virtual veterinary care at no cost
  • Legal services, identity protection, and supplemental health insurance options
  • Tax-advantaged spending accounts for healthcare, dependent care, and commuting
  • Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O'Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

Compensation Transparency
Veeam is committed to pay transparency and equitable compensation. For this role, the compensation range below reflects the expected total target compensation (TTC), inclusive of base pay and a competitive performance-based bonus. For roles with a commission plan, the compensation range represents On Target Earnings (OTE), which includes base salary plus variable commission. When determining compensation, Veeam takes into consideration factors such as experience, education, skills, and geographic zone. Offers are typically made below the midpoint of the range.
In addition to compensation, Veeam provides a comprehensive benefits package, including health coverage, retirement plans, and unlimited time off.
U.S. Geographic Zones & Compensation Ranges (TTC / OTE)
Zone 1: San Francisco Bay Area, New York City Boroughs
$192,500-$357,500 USD
Zone 2: Washington, California (excluding San Francisco Bay Area)
$176,500-$327,800 USD
Zone 3: Texas, Illinois, North Carolina, Colorado, Massachusetts, Pennsylvania, Virginia, Oregon, Nevada, Hawaii, New York (excluding NYC boroughs); Sales roles located in Georgia, Ohio, and Arizona
$160,500-$298,000 USD
Zone 4: All other US locations
$139,600-$259,300 USD
Veeam Software is an equal opportunity employer and does not tolerate discrimination in any form on the basis of race, color, religion, gender, age, national origin, citizenship, disability, veteran status or any other classification protected by federal, state or local law. All your information will be kept confidential.
Personal data collected during the recruitment process will be processed in accordance with our Recruiting Privacy Notice, which explains how your information is collected, used, and handled in connection with hiring activities. By applying for this position, you consent to this processing.
By submitting your application, you confirm that the information provided, including any supporting documents, is complete and accurate to the best of your knowledge. Any misrepresentation, omission, or falsification may result in disqualification from consideration or, if discovered after employment begins, termination of employment.

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