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Remote Salesforce Data Scientist Jobs in Rochester, MN

Remote Exercise Specialist

Rochester, MN · On-site +1

$22 - $31/hr

... of data, digital, and clinical treatments to provide personalized plans with measurable results ... Our platform allows for the latest breakthroughs in nutrition, exercise, and obesity science to be ...

... of data, digital, and clinical treatments to provide personalized plans with measurable results ... Our platform allows for the latest breakthroughs in nutrition, exercise, and obesity science to be ...

... of data, digital, and clinical treatments to provide personalized plans with measurable results ... Our platform allows for the latest breakthroughs in nutrition, exercise, and obesity science to be ...

... of data, digital, and clinical treatments to provide personalized plans with measurable results ... Our platform allows for the latest breakthroughs in nutrition, exercise, and obesity science to be ...

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Showing results 1-20

Remote Salesforce Data Scientist information

See Rochester, MN salary details

$46.8K

$167.7K

$247.5K

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

As of Aug 14, 2026, the average yearly pay for remote salesforce data scientist in Rochester, MN is $167,740.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,700.00 and $172,800.00 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.

What are popular job titles related to Remote Salesforce Data Scientist jobs in Rochester, MN?

For Remote Salesforce Data Scientist jobs in Rochester, MN, the most frequently searched job titles are:

What job categories do people searching Remote Salesforce Data Scientist jobs in Rochester, MN look for?

The top searched job categories for Remote Salesforce Data Scientist jobs in Rochester, MN are:

What cities near Rochester, MN are hiring for Remote Salesforce Data Scientist jobs?

Cities near Rochester, MN with the most Remote Salesforce Data Scientist job openings:

Digital Chemistry Specialist - Remote

micro1 AI

Rochester, MN • Remote

$90 - $120/hr

Part-time

Posted 18 days ago


Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.