Senior/Lead Data Scientist

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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.

As a Senior/Lead Data Scientist, you will be responsible for creating, expanding, maintaining and optimizing the production-based models and data pipeline for the Strategy & Operations team. You will access, cleanse, compile, and transform disparate data sets to conduct analyses using scientifically valid techniques. Generating meaningful insights as well as assisting with feasibility studies to identify data availability, quality and modeling requirements, and dependencies.

You will also be expected to guide the junior members of the team using your expert knowledge/experience.

Your Impact:

• Help define the roadmap for the Strategy & Operations data science and engineering functional area.

• Create and maintain optimal predictive and prescriptive data models.

• Assemble large, complex data sets that meet functional/non-functional business requirements

• Identify, design and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

• Benchmark models against existing Salesforce predictive tools.

• Support and collaborate on the infrastructure required for optimal extraction, transformation and loading data from a wide variety of data sources using SQL.

• Work with internal customers to understand their needs and author and define implementation plans and functional specifications that solve those needs.

• Regularly assess and improve one's own performance in areas such as job knowledge, technical skills, productivity, accountability, quality, initiative, innovation, drive, working relationships, communications, leadership.

• Mentor juniors in the team using your experience /  expertise.

Minimum Requirements: 

• BS in Computer Science, Economics, Statistics, Applied Mathematics, similar data focused areas or equivalent experience.

• 8+ year’s experience in an engineering role. 

• 6+ years of experience working in the Data Scientist role.

• Ability to define scope of problems & design / implement solutions by collaborating with the relevant people. 

• Previous experience of end-to-end execution (Data collection--Feature selection--Model training--Model Deployment) of predictive models.

• Experience in data, analytics, data warehousing concepts, and strong SQL proficiency. 

• Highly Technical. Experience with Python (preferred) or R, frameworks, test automation and debugging.

• Collaborator. Ability managing complex projects from start to finish and working effectively across internal functional teams and with external vendor relationships. 

Preferred Requirements: 

• Implemented data-science projects in the “Customer Success” or “Customer Support” domain.

• Experience with Salesforce.

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. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

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Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? 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.