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Salesforce Data Scientist Jobs (NOW HIRING)

Master's degree in Data Science, Data Analytics, Computer Science, or related field * 3-5 years of ... Experience with Salesforce data and reporting * Experience in business services or manufacturing ...

Knowledge of Salesforce and Facets is required. ESSENTIAL FUNCTIONS: - 20% Leads all data mining ... scientists for advanced data analysis. - 10% Translates business priorities and creates data ...

New

We are seeking a Lead Data Scientist to join the Connected Growth & Insights team - a metrics ... Strong understanding of the Salesforce ecosystem and CRM analytics * Leads metrics strategy and ...

Data Scientist

Manhattan, NY · On-site

$130K - $140K/yr

Data Scientist Seeking a highly skilled and mission‐driven Data Scientist to support ... Salesforce to ensure effective communication and access control. The ideal candidate will bring ...

We are seeking a Lead Data Scientist to join the Connected Growth & Insights team -- a metrics ... Strong understanding of the Salesforce ecosystem and CRM analytics * Leads metrics strategy and ...

Salesforce Marketing Cloud Architect

Mclean, VA · On-site

$69.75 - $86.50/hr

... Data Cloud). • Education: Bachelor's degree in Computer Science, Information Systems, or related field (Master's preferred). • Experience: 6+ years of experience with Salesforce Marketing Cloud ...

We are seeking a Lead Data Scientist to join the Connected Growth & Insights team - a metrics ... Strong understanding of the Salesforce ecosystem and CRM analytics * Leads metrics strategy and ...

The Data Scientist will develop product-ready models that support Sequoia's strategic initiatives ... Experience working with Salesforce, Tamarac, eMoney, Fidelity, Schwab, and Box is a plus ...

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How much do salesforce data scientist jobs pay per year?

As of May 29, 2026, the average yearly pay for 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 a Salesforce Data Scientist job?

A Salesforce Data Scientist leverages data analytics, machine learning, and AI to derive insights from Salesforce CRM data. They analyze customer interactions, sales performance, and marketing trends to optimize business strategies. Their role involves data cleaning, predictive modeling, and automation to enhance decision-making. They also collaborate with sales, marketing, and IT teams to improve customer experiences and business outcomes.

What are the key skills and qualifications needed to thrive in the Salesforce Data Scientist position, and why are they important?

To thrive as a Salesforce Data Scientist, a strong background in statistics, data analysis, and machine learning, along with experience in Salesforce platforms, is crucial. Familiarity with tools like Salesforce Einstein Analytics, Python or R, SQL, and relevant Salesforce certifications is highly valuable. Strong problem-solving skills, business acumen, and effective cross-functional communication help individuals excel in this role. These skills are essential for turning complex data into actionable insights that drive business decisions and optimize Salesforce-driven processes.

What are some typical projects or tasks a Salesforce Data Scientist might work on within an organization?

Salesforce Data Scientists often work on projects such as developing predictive models to forecast sales, creating dashboards for key performance indicators, and analyzing customer behavior data to improve marketing strategies. They routinely collaborate with sales, marketing, and IT teams to ensure data-driven insights align with business objectives. A typical week may include data cleansing, feature engineering, presenting findings to stakeholders, and deploying machine learning solutions into Salesforce environments. This role often involves both independent analytical work and team-based problem solving to maximize the value of an organization's Salesforce data.

Is data science dead in 10 years?

As a Salesforce Data Scientist, the field of data science is expected to evolve rather than become obsolete in 10 years. Advances in automation, machine learning tools, and cloud platforms will likely shift the focus toward more specialized skills, but data science as a discipline will remain relevant for analyzing and interpreting data to support business decisions.
What cities are hiring for Salesforce Data Scientist jobs? Cities with the most 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 Salesforce Data Scientist jobs? States with the most job openings for Salesforce Data Scientist jobs include:
Infographic showing various Salesforce Data Scientist job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Hybrid job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Scientist

Other

Posted 19 days ago


Job description

We are looking for Data Scientist

  •  Advanced Python or R for data analysis and modeling
  •  SQL proficiency across complex, multi-table schemas
  •  Experience with ML frameworks (scikit-learn, XGBoost, or similar)
  •  BI tools: Tableau, Looker, or Power BI
  •  Hands-on experience with CRM systems (Salesforce, HubSpot)

Enterprise Minds logo

About Enterprise Minds

Sourced by ZipRecruiter

Enterprise Minds Inc. is one of the fastest growing tech companies with locations in San Francisco, Toronto, London, and India (Hyderabad, Pune, Puducherry, Tirupati ,Delhi & Bengaluru metros) Our Vision Be a partner for industry verticals on the inevitable journey towards enterprise transformation and future readiness, by harnessing the growing power of Artificial Intelligence, Machine Learning, Data Science and emerging methodologies, with immediacy of impact and swiftness of outcome. Our Mission To decode data, and code new intelligence into products and automation, engineer, develop and deploy systems and applications that redefine experiences and realign business growth.

Industry

Software development

Company size

51 - 200 Employees

Headquarters location

San Ramon, CA, US

Year founded

2017