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No Experience Salesforce Data Scientist Jobs (NOW HIRING)

Tactile Medical

Data Scientist

Minneapolis, MN · On-site

The primary work is finding connections in TCMD's data that no one has looked for yet, building ... Salesforce administrator to extract data Power BI or Tableau development experience sufficient to ...

IntraEdge

HigherEd - Salesforce Developer

Chandler, AZ · On-site

$54 - $71.50/hr

Bachelor's degree in Computer Science, Information Technology, or a related field is preferred, but ... development experience. * Strong understanding of Salesforce architecture and data model.

IntraEdge

HigherEd - Salesforce Developer

Chandler, AZ · On-site

$54 - $71.50/hr

Bachelor's degree in Computer Science, Information Technology, or a related field is preferred, but ... development experience. * Strong understanding of Salesforce architecture and data model.

InstantServe LLC

Salesforce Data Analyst

Denver, CO · On-site

Denver, CO Qualifications: o Salesforce Platform Proficiency § Minimum 2 years' experience with ... data import/export tools (e.g., Data Loader, Data Import Wizard) § Understanding of data ...

Salesforce, Inc.

Senior Data Scientist (SMTS)

Bellevue, KY · On-site

$148.50 - $223.90/hr

... Salesforce Cyber Security Operations Center seeks an experienced, driven, and creative Senior Data ... This policy applies to current and prospective employees, no matter where they are in their ...

Caresoft Inc.

Salesforce Data Analyst

New York, NY · On-site

$65 - $66/hr

Salesforce Data Analyst(Client Data) Location: NYC 10001 Hybrid Duration: 6 Months Duties: As a ... Experience with business applications including Excel and PowerPoint * Experience working with CRM ...

Find Data Science

Data Scientist

San Francisco, CA

Data Scientist - San Francisco We are seeking a talented and experienced Data Scientist to join our dynamic team in San Francisco. As a Data Scientist, you will play a pivotal role in harnessing data ...

STI

Data Scientist

Hartford, CT · On-site

... Data Science • Experience with machine learning, AI, and cognitive service engine models • ... Salesforce • 1 year of experience with web content management platforms such as Sitecore

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How much do no experience salesforce data scientist jobs pay per year?

As of Aug 12, 2026, the average yearly pay for no experience salesforce data scientist 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 is the difference between No Experience Salesforce Data Scientist vs No Experience Salesforce Data Analyst?

AspectNo Experience Salesforce Data ScientistNo Experience Salesforce Data Analyst
Required CredentialsBasic Salesforce certifications, introductory data science coursesSalesforce certifications, basic data analysis skills
Work EnvironmentData science teams, analytics departments within Salesforce-focused companiesBusiness units, marketing, and sales teams using Salesforce data
Employer & Industry UsageTech companies, CRM service providers, consulting firmsSalesforce user organizations, marketing agencies, sales departments

While both roles involve working with Salesforce data, the No Experience Salesforce Data Scientist focuses on analyzing complex data sets and building predictive models, whereas the No Experience Salesforce Data Analyst primarily interprets data reports and supports decision-making. The roles share similar entry-level requirements but differ in technical depth and responsibilities.

More about No Experience Salesforce Data Scientist jobs
What cities are hiring for No Experience Salesforce Data Scientist jobs? Cities with the most No Experience 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 No Experience Salesforce Data Scientist jobs? States with the most job openings for No Experience Salesforce Data Scientist jobs include:
What job categories do people searching No Experience Salesforce Data Scientist jobs look for? The top searched job categories for No Experience Salesforce Data Scientist jobs are:
No Experience Salesforce Data Scientist jobs near you
Infographic showing various No Experience Salesforce Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

Tactile Medical

Minneapolis, MN • On-site

Full-time

Re-posted 28 days ago

Tactile Medical rating

8.6

Company rating: 8.6 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

Job description

Position Summary
The Marketing Data Scientist is the predictive intelligence engine of TCMD's Marketing and Market Access organization. The primary work is finding connections in TCMD's data that no one has looked for yet, building predictive models, and translating validated models into forward-looking tools. This individual synthesizes insights from Tactile's internal and external data platforms to develop and explore hypotheses for growth. The role's mission is to surface predictive insights from these systems that inform commercial strategy before decisions are finalized. This role collaborates closely with marketing and market access leadership along with sales excellence and commercial leadership.

Accountabilities & Responsibilities
Exploratory analysis, hypothesis generation, feature engineering, model construction, and validation
Build and validate predictive models using appropriate machine learning and statistical methodologies
Translating validated models into forward-looking dashboards or automated scoring systems that are consumed with ease by stakeholders
Partner across the marketing organization to develop campaign lift attribution; building causal inference models isolating incremental referral lift from specific marketing programs
Develop predictive analytics supporting payer targeting and coverage expansion opportunities
Train commercial team users on how to interpret and act on model outputs and the specific decisions the model is designed to support
Communicate within marketing and market access on status of model pipeline and backlog; routinely collect voice of internal stakeholder needs to drive continuous improvement in data driven decision making
Manage assigned projects to completion on time, within scope, and within budget.
Other duties as assigned.

Qualifications

Required:
Bachelor's degree in data science, statistics, mathematics, computer science, economics, or a quantitative field with strong statistical foundations
4-7 years applied data science or machine learning experience, applied in commercial or operational environments
Experience creating predictive models for non-data-scientists to make real commercial or operational decisions
Comfort with messy healthcare commercial data, intellectual curiosity, and the communication discipline to translate technical findings into commercial language
Expert-level modern data science skills in Python and SQL working with structured data and machine-learning frameworks; version-controlled code development and deployment
Ability to transform messy, real-world healthcare data with missing values, inconsistent coding, and multiple granularities into reliable predictive model inputs
Working knowledge of Salesforce CRM architecture, healthcare claims data, Power BI/Fabric deployment environments

Preferred:
Master's or PhD in quantitative field
Understanding of referral-based commercial models, payer coverage dynamics, prior authorization processes, and DME/medical device reimbursement
Survival analysis experience - has applied time-to-event modeling in a commercial context (e.g., customer churn, time-to-conversion, time-to-renewal). Particularly relevant for funnel stage duration modeling and HCP churn prediction
Salesforce data architecture familiarity - understands the Salesforce object model well enough to write efficient queries and build reliable features from CRM data without requiring a Salesforce administrator to extract data
Power BI or Tableau development experience sufficient to deploy model scoring outputs as operational dashboards
Experience in a B2B2C or referral-based commercial model where the customer and the end user are different

What Tactile Medical employees say

Pay

Benefits

Hours and flexibility

Workplace

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