Senior Data Scientist (SMTS)

100 Salesforce, Inc.; Bellevue (WA); On-site; USD 149,000 - 224,000; Full time

Benefits offered by this job

Medical, dental & vision

401(k)

Employee stock purchase program

Job summary

Salesforce is seeking a Senior Data Scientist for the Data Science & Analytics team within the Cyber Security Operations Center. You will explore, invent, and scale AI and ML techniques to advance threat detection and protection for the Salesforce platform, collaborating with threat, product, and engineering teams to deliver scalable defenses.

You will merge rigorous statistics with business insight, lead applied research projects, and help productionize proven detection methods while

Qualifications

• At least 4 years in a related field, or 2+ years with a Master’s in a related technical field.
• Strong fundamentals in applied statistics and probability.
• Experience delivering advanced data mining or machine-learning techniques as lead or sole contributor.
• 2+ years applying machine-learning techniques; or mining datasets over 1 TB in volume.
• Strong programming skills in Java, Python, or Scala.
• Excellent communication skills.
• Experience formulating, leading, and executing applied-research projects and assisting in their production implementation.

Responsibilities

• Conduct and document rigorous exploratory data analyses of potential source datasets.
• Collaborate with internal incident-response, threat-intel, and product teams on evolving threats and their detection.
• Formulate, build, test, and document proofs-of-concept for new techniques in threat detection.
• Drive or assist in engineering scalable, production-ready software for proven techniques.
• Champion, build, and maintain AI-driven capabilities for all of the above.
• Communicate proactively and effectively to product, threat-research, and other stakeholders via presentations, proposals, and requirements.
• Champion and build AI-driven capabilities for all of the above.

Skills

Statistics

Programming: Java/Python/Scala

Communication skills

Data mining / ML techniques

Applied research

Education

Master's degree in related technical field

Job description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category Software Engineering Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

The Team

The Data Science & Analytics team in Salesforce Cyber Security Operations Center seeks an experienced, driven, and creative Senior Data Scientist to join the team. We explore, invent, build and scale new ways to secure the Salesforce platform. We leverage AI, machine learning, and contemporary data techniques to advance behavior- and signature-based techniques of many forms. We partner with threat, product, and engineering teams to deliver defenses that not only operate at scale, but evolve through agentic-based monitoring, testing, and continuous improvement. We are a growing, highly visible, and highly agile team where experimentation, collaboration, and spirited discussion are the norm.

About You

You’re intensely curious about AI and data and are highly adept in analyzing large volumes of data, then teasing out valuable signals therein. You’re able to seamlessly merge rigor in statistics with awareness of their application to business problems. You thrive in researching, experimenting with, applying, and proving out new techniques in AI, data mining, and machine learning. You partner with threat experts to understand evolving threat patterns and their detection. You collaborate effectively with software engineers to champion proven detection techniques, consult in their software implementation, and build and test production software.

Responsibilities

• Conduct and document rigorous exploratory data analyses of potential source datasets.
• Collaborate with internal incident-response, threat-intel, and product teams on evolving threats and their detection.
• Formulate, build, test, and document proofs-of-concept for new techniques in threat detection.
• Drive or assist in engineering scalable, production-ready software for proven techniques.
• Champion, build, and maintain AI-driven capabilities for all of the above.
• Communicate proactively and effectively to product, threat-research, and other stakeholders via presentations, proposals, and requirements.
• Champion and build AI-driven capabilities for all of the above.

Required Experience Skills

• At least four (4) years experience in a related field; OR At least two (2) years experience , plus a graduate degree (Masters' at least) in a related technical field
• Strong fundamentals in applied statistics and probability
• Demonstrated experience delivering advanced data mining or machine learning techniques as a lead or sole contributor.1
• At least two (2) years of experience in selecting and applying machine-learning techniques; OR at least two (2) years of experience mining datasets over 1 TB in volume.1
• Strong programming skills in Java, Python, or Scala
• Excellent communication skills
• Experience formulating, leading, and executing applied-research projects and assisting in their production implementation.

Preferred Skills

• Strong understanding of security, including threat propagation and signal correlation.
• Experience in applying AI and big-data techniques to security, specifically in anomaly detection, pattern recognition, behavior-based analysis, and correlation.
• Related experience in genomics, high-speed trading, or other domains involving pattern recognition or behavior-based analysis

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $148,500 - $223,900 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $246,000 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable. We're Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good – you've come to the right place.