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Director Salesforce Data Scientist Jobs (NOW HIRING)

This role combines deep data science expertise with significant Salesforce platform experience ... You will report directly to our Director of R&D, and you will work out of our Hamilton, NJ location ...

Salesforce Data Architect

Vienna, VA · On-site

$69.25 - $85.75/hr

Bachelor's degree in Computer Science, Information Systems, Data Science, or related field. * Experience: Minimum 5 years of professional Salesforce development experience (Flows, Apex, LWC, SOQL ...

Salesforce Data Architect

Vienna, VA · On-site

$160K - $170K/yr

Bachelor's degree in Computer Science, Information Systems, Data Science, or related field. * Experience: Minimum 5 years of professional Salesforce development experience (Flows, Apex, LWC, SOQL ...

Salesforce Data Architect

Vienna, VA · Remote

$160K - $170K/yr

Bachelor's degree in Computer Science, Information Systems, Data Science, or related field.Experience: Minimum 5 years of professional Salesforce development experience (Flows, Apex, LWC, SOQL), with ...

Salesforce Data Cloud

New York, NY · On-site

$60.75 - $80.50/hr

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

Salesforce Data 360 Developer

Addison, TX · On-site

$53.75 - $71.25/hr

Salesforce Data 360 Developer Location: Charlotte, NC / Addison, TX (Onsite) Employment Type ... Computer Science or a related technical field ⭐ Nice-to-Have Skills: ✔ Experience with AWS ...

Salesforce Data 360 Architect

Addison, TX · On-site

$61.75 - $79.50/hr

... Science or a related technical field ⭐ Nice-to-Have Skills: ✔ Experience with Customer Data Platforms (CDPs) beyond Salesforce Data Cloud ✔ Salesforce Data Cloud or Salesforce Architect ...

Salesforce Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Job Title: Salesforce Data Engineer Job Code: AZ 13609 Client: Arizona Department of Economic ... Establish direct REST/SOAP API and event-driven connections between upstream systems and Salesforce.

New

A bachelor's degree in Computer Science, Information Technology, Marketing, or comparable work ... You will be reporting to the architect-decisioning director. You will not have managerial ...

Sr. Salesforce Data Architect

Atlanta, GA · On-site

$65.50 - $81.25/hr

This role reports to the Senior Delivery Manager or Director of AI, Data & Analytics and ... Bachelor's degree in Computer Science, Information Systems, Data Management, or a related field;

Salesforce Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Job Title: Salesforce Data Engineer Job Code: AZ 13609 Client: Arizona Department of Economic ... Establish direct REST/SOAP API and event-driven connections between upstream systems and Salesforce.

New

This leader is accountable for platform health, security, reliability, data integrity, lifecycle ... Bachelor's Degree in Information Systems, Computer Science, Engineering, Business, or related field ...

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Director Salesforce Data Scientist information

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

As of Sep 13, 2026, the average yearly pay for director 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 does a Director Salesforce Data Scientist do?

A Director Salesforce Data Scientist leads data science teams focused on leveraging Salesforce data to drive business insights and strategic decision-making. They oversee the development and implementation of machine learning models and analytics solutions within the Salesforce ecosystem. This role involves collaborating with cross-functional teams, managing data governance, and ensuring data-driven approaches align with organizational goals. Directors in this position also mentor data scientists, define project priorities, and ensure best practices are followed in handling Salesforce data.

What are the key skills and qualifications needed to thrive as a Director Salesforce Data Scientist?

To thrive as a Director Salesforce Data Scientist, you need deep expertise in data science, advanced analytics, and CRM strategies, typically backed by a degree in data science or a related field and significant experience with Salesforce platforms. Proficiency in tools like Python, R, SQL, Tableau, and Salesforce Einstein Analytics, as well as Salesforce certifications, is highly valuable. Exceptional leadership, communication, and strategic problem-solving skills help you collaborate across departments and drive data-driven initiatives. These capabilities are crucial for translating complex data insights into actionable business strategies that maximize Salesforce's impact on organizational goals.

How does a Director Salesforce Data Scientist typically collaborate with cross-functional teams to drive data-driven initiatives?

A Director Salesforce Data Scientist often works closely with stakeholders from sales, marketing, IT, and executive leadership to identify business objectives and translate them into actionable data strategies. They lead data science teams in designing and implementing advanced analytics solutions using Salesforce data, while also ensuring data integrity and compliance. Effective communication and project management skills are essential, as the role involves presenting insights, aligning priorities, and facilitating adoption of data-driven practices across the organization. Regular meetings and collaborative workshops are common, fostering a culture of data-driven decision making.
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Infographic showing various Director Salesforce Data Scientist job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Advanced Data Scientist - Salesforce

Hamilton, NJ • On-site

Honeywell
Furniture Manufacturing • 10K+ employees

$124K - $154K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Honeywell rating

8.3

Company rating: 8.3 out of 10

Based on 186 frontline employees who took The Breakroom Quiz


Job description


As an Advanced Data Scientist here at Honeywell, you will leverage advanced analytics, artificial intelligence, and machine learning technologies to transform customer engagement, service operations, and sales processes across the enterprise. This role combines deep data science expertise with significant Salesforce platform experience, including Salesforce Agentforce, Einstein AI, Data Cloud, and CRM Analytics.
You will partner with business leaders, product teams, digital transformation organizations, and Salesforce platform teams to design and deploy AI-powered solutions that drive measurable business outcomes. Your work will focus on building intelligent agents, predictive analytics models, conversational AI experiences, customer insight capabilities, and scalable machine learning solutions that enhance operational efficiency and customer experiences.
You will report directly to our Director of R&D, and you will work out of our Hamilton, NJ location on a 3-day in office hybrid work schedule.
KEY RESPONSIBILITIES
  • Design, develop, and deploy advanced machine learning and AI solutions that address complex business challenges.
  • Lead the development of intelligent agent solutions leveraging Salesforce Agentforce and Einstein AI capabilities.
  • Build predictive models for customer behavior, lead scoring, opportunity forecasting, churn prediction, and service optimization.
  • Partner with CRM, sales, service, and marketing teams to define AI use cases, success criteria, and measurement frameworks.
  • Develop and operationalize generative AI solutions using large language models, retrieval-augmented generation, and enterprise AI architectures.
  • Design data pipelines and feature engineering processes utilizing Salesforce Data Cloud and enterprise data platforms.
  • Develop conversational AI experiences and autonomous agent workflows integrated with the Salesforce ecosystem.
  • Evaluate emerging AI and Salesforce technologies and recommend enterprise adoption strategies.
  • Establish model governance, monitoring, explainability, security, and responsible AI practices.
  • Collaborate with software engineers, product managers, architects, and business stakeholders to deliver production-ready solutions.
  • Translate complex analytical findings into clear, actionable recommendations for business and executive stakeholders.
  • Mentor developers and contribute to technical standards and reusable best practices across the organization.

Qualifications
YOU MUST HAVE
  • Bachelor's degree from an accredited institution in Computer Science, Data Science, Statistics, Mathematics, Engineering, Information Systems, or a related quantitative field.
  • 5+ years of experience in data science, machine learning, artificial intelligence, and advanced analytics, including developing predictive models using Python and modern machine learning frameworks.
  • 3+ years of experience with Salesforce technologies, including Agentforce, Einstein AI, Data Cloud, Service Cloud, and Sales Cloud, delivering AI-driven business solutions.
  • 3+ years of experience applying statistical modeling, predictive analytics, experimentation, and large-scale data analysis while collaborating with stakeholders to drive data-driven business decisions.

WE VALUE
  • Master's degree or PhD in a quantitative discipline.
  • Salesforce Agentforce Specialist, Salesforce AI Specialist, or related Salesforce certifications.
  • Expertise with generative AI, large language models, prompt engineering, and enterprise AI applications.
  • Experience implementing AI-powered customer service or digital sales transformation initiatives.
  • Knowledge of cloud platforms such as Microsoft Azure, Amazon Web Services, or Google Cloud Platform.
  • Experience with MLOps, model deployment, observability, monitoring, and lifecycle management.
  • Familiarity with vector databases, semantic search, and retrieval architectures.
  • Experience working in large enterprise environments with complex data and integration ecosystems.
  • Strong business acumen and the ability to connect AI investments to measurable business outcomes.
  • Agile Development methodologies.

BENEFITS OF WORKING FOR HONEYWELL
In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. Learn more
The annual base salary range for this position is $124,000 - $154,500. Please note that this salary information serves as a general guideline. Honeywell considers various factors when extending an offer, including but not limited to the scope and responsibilities of the position, the candidate's work experience, education and training, key skills, as well as market and business considerations.
Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorization.
The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Posting Date: August 31, 2026
ABOUT HONEYWELL TECHNOLOGIES
Honeywell Technologies is a global, pure-play automation company with a legacy of innovating to help solve the world's most mission-critical challenges, enhancing the quality of life for people and communities around the world. We serve the building, industrial, and process sectors with a broad portfolio of services, solutions, and products, underpinned by our Honeywell Technologies Accelerator operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector's transition from automation to autonomy. Learn more
THE BUSINESS UNIT
Honeywell's Advanced Process Control Software and Outcome-Based Solutions and Enterprise Performance Management business unit delivers innovative software solutions that optimize industrial processes and enhance operational efficiency. Our technologies enable customers to achieve superior process control, reduce variability, and improve overall plant performance through data-driven insights and advanced automation capabilities.
About Us
Honeywell Technologies is a global, pure-play automation company with a legacy of innovating to help solve the world's most mission-critical challenges, enhancing the quality of life for people and communities around the world. We serve the building, industrial and process sectors with a broad portfolio of services, solutions and products, underpinned by our Honeywell Technologies Accelerator operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector's transition from automation to autonomy.

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About Honeywell

Sourced by ZipRecruiter

Honeywell is charging into the Industrial IoT revolution with the establishment of Honeywell Connected Enterprise (HCE), building on our heritage of invention and deep, on-the-ground industry expertise. HCE is the leading industrial disruptor, building and connecting software solutions to streamline and centralize the assets, people and processes that help our customers make smarter, more accurate business decisions. Moving at the speed of software, we are creating, innovating and delivering solutions fast, challenging the way things have always been done, piloting new ways for all of us to work, and expecting our successes to set new standards for our customers and for Honeywell. The Chief Architect for Honeywell Connected Enterprise will lead a team of architects and system engineers responsible for the design of applications and infrastructure that deliver high value outcomes for customers in industrial, buildings, distribution centers, and aerospace vertical markets. The Chief Architect will work directly with leadership, development teams, and offering management to design well integrated solutions that utilize software platforming to encourage reuse and speed to market.

Industry

Furniture manufacturing

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

1906