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Remote Salesforce Data Scientist Jobs (NOW HIRING)

Mondo

Data Scientist

Phoenix, AZ · Remote

$65 - $75/hr

Senior Data Scientist , Remote. Start date is ASAP for this 12 Month Contract position. Job Title: Senior Data Scientist Location/Type: Remote (Candidate must reside in Pacific, Mountain, or Central ...

GD Resources LLC

Data Scientist - Remote Role

Remote Position Summary The Senior Data Scientist provides advanced analytical expertise supporting the SBA OIG Technology Solutions Division through the design, development, deployment, and ...

Fullpower Technologies

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

Fullpower-AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless ... Fullpower is seeking a passionate, team-oriented, and self-motivated Data Scientist interested in ...

Knexus

Data Scientist (Remote)

Position Overview We're looking for an experienced Data Scientist to join our team at Knexus. This is a fully remote position for candidates in the continental U.S., with work hours aligned to the ...

Great Gray

Data Scientist

The data scientist we seek comeswith strong experience in Python and its data science ecosystem ... Please note that remote employment in this role is restricted to candidates residing in states ...

Victory

Data Scientist (Remote)

Austin, TX · Remote

About the Data Scientist position We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance. You ...

MM International

Data Scientist

New York, NY · Remote

Remote Duration 4-6 months The RBQM Data Scientist supports central monitoring and risk-based quality management (RBQM) for clinical trials. This role focuses on implementing and running pre-defined ...

Booz Allen Hamilton, Inc.

Data Scientist

Washington, DC · On-site +1

$48K - $98K/yr

Remote Work: No Job Number: R0246054 Location: Washington,DC,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets held ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0241357 Location: Alexandria,VA,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets ...

West 4th Strategy

Data Scientist (Remote)

Washington, DC · On-site +1

$135K - $150K/yr

Data Scientist ROLE We need an experienced Data Scientist at the Office of the Under Secretary of ... Remote - Eastern Standard Time zone - preferred but not required CLEARANCE * U.S. Citizenship ...

New

Audiohook

Data Scientist

Eden, UT · On-site +1

Communicate clearly and proactively in a remote-first environment Qualifications Required * Bachelor\'s or Master\'s degree in Statistics, Economics, Data Science, Computer Science, or related ...

Rebellion Defenses

Remote Data Scientist

Jackson, MS · On-site +1

Proven experience in data science or a related field. * Proficiency in programming languages such ... Strong communication skills and the ability to work collaboratively in a remote environment. Salary ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0242719 Location: Alexandria,VA,US Share job via: Share Data Scientist The Opportunity: As a data scientist, you're excited at the prospect of unlocking the secrets ...

Premier, Inc.

Data Scientist

Data Scientist What you will be doing: This position will have responsibility for conceptualizing ... Remote Travel Requirements: Travel 1-20% within the US Physical Demands: Sedentary: Exerting up to ...

New

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All JobsSalesforce Data Scientist JobsRemote Salesforce Data Scientist Jobs

Remote Salesforce Data Scientist information

See salary details

$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:
Remote Salesforce Data Scientist jobs near you
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.

Data Scientist

Mondo

Phoenix, AZ • Remote

$65 - $75/hr

Contractor

Medical, Dental, Vision, Retirement

Posted 23 days ago

Job description

Apply now: Senior Data Scientist , Remote. Start date is ASAP for this 12 Month Contract position.

Job Title: Senior Data ScientistLocation/Type: Remote (Candidate must reside in Pacific, Mountain, or Central time zone. Eastern time zone and international candidates will not be considered.)Start Date: ASAPDuration: Contract, 6  Months (extension likely)Compensation Range: $65/hr to $75/hrBenefits: Eligible for Health, Dental, Vision, and 401KVisa Sponsorship: Not eligible for visa sponsorship

Job Description:The client is seeking a Data Scientist with deep expertise in Generative AI, agentic architectures, and MLOps to design, build, and scale end to end AI solutions while embedding Responsible AI practices across the full development lifecycle. This role requires hands on MLOps maturity, not just model building, the candidate will own how models move from experimentation into production and stay reliable once they get there.

Job Summary:

  • Design and deploy end to end RAG solutions and autonomous AI agents in cloud and enterprise environments
  • Build and scale machine learning and AI models on cloud platforms, primarily AWS or Azure
  • Develop and maintain MLOps pipelines to support model deployment, monitoring, versioning, and governance
  • Own CI/CD for ML workflows, including automated retraining, model registry management, and rollback procedures
  • Implement model monitoring for drift, performance degradation, and data quality issues in production
  • Apply statistical modeling techniques to solve complex business problems
  • Collaborate with stakeholders across the organization to translate requirements into scalable AI solutions
  • Embed Responsible AI practices across model development, deployment, and governance workflows
  • Contribute across the full development lifecycle, from experimentation through production release

Requirements:

Must Haves:

  • Location: candidate must be based in Pacific, Mountain, or Central time zone. This is a hard requirement, not a preference.
  • Minimum 4 years of experience working specifically as a Data Scientist (title and scope must match, not adjacent titles like Data Analyst or ML Engineer alone)
  • Must currently or most recently hold a Data Scientist title (Data Scientist, Senior Data Scientist, Staff Data Scientist, Principal Data Scientist, etc.). Candidates whose current or most recent role carries a different title (Data Analyst, ML Engineer, Analytics Engineer, etc.)
  • Minimum 3 years of hands on MLOps experience, specifically model deployment, monitoring, and lifecycle management in production environments (not just model development or notebooks)
  • Direct experience with at least one MLOps tooling stack such as MLflow, Kubeflow, SageMaker Pipelines, or Azure ML Pipelines
  • Master's degree in a STEM field
  • 4 years of proficiency in SQL
  • 4 years of proficiency in Python
  • Hands on experience with AWS or Azure cloud platforms
  • Proficiency with Git for version control
  • Strong communication skills with demonstrated ability to work cross functionally with stakeholders

Nice to Haves:

  • Experience with Snowflake for data warehousing and analytics
  • Hands on experience with AWS specifically, in addition to general cloud proficiency
  • Startup or fast paced environment mindset with comfort navigating ambiguity
  • Active personal use of AI tools and familiarity with the evolving AI landscape