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Salesforce

Lead, Decision Scientist

Hyderabad, India

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Job Category
Data

Job Details

About Salesforce

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.

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About Salesforce

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.

Trust is our #1 value at Salesforce. The Data and Analytics (DnA) team powers that value and propels Salesforce growth by providing trusted data, insights, and artificial intelligence that enables us to make more informed decisions in every dimension. We develop tools for financial forecasting, assessing customer health, uncovering adoption insights, data curation, and more, all designed to support another core value at Salesforce... customer success.

The DnA team is organized into four Pillars:

The T&P (Technology and Product) Pillar of the DnA team serves as analytical partners and trusted advisors to General Managers of Salesforce business lines, as well as to product managers and their maker teams. We empower GMs to grow adoption, retention, and ACV. We empower makers to build easy-to-use and performant products that unlock value
The Success Pillar exists to drive outcomes for our customers and Salesforce, using the collective mind of DnA to create delightful digital experiences that dazzle stakeholders, boost productivity, and foster a culture of continuous learning and growth
The Sales Pillar helps Sellers and Sales Leaders see the future by providing a predictable view of the business. We develop a scalable, data-driven way to plan our seller capacity, sales territories, and long-range plan. Our team will directly increase AE productivity, increase our margin, and build a foundation for a strong Salesforce
The Transformation Pillar exists to measure, inform, and therefore manage change across the enterprise for initiatives such as margin

We are hiring Decision Scientists across all four Pillars. As a Decision Scientist, you will deliver key insights and analyses that help Salesforce leaders and teams make key decisions that shape strategy, operations, the way we develop products, the way we sell, the way we interact with customers, and much more. You will acquire deep knowledge and understanding of Salesforce products and business goals, build and manage cross-functional relationships, and communicate through digestible, relevant, and actionable storytelling. You will manage data and insights as a product, partnering with data product managers, data engineers, data scientists, ML engineers, visualization engineers, and many other DnA teammates to deliver data products, such as dashboards, ML apps, automation, and much more. You will use business thinking, engineering skills, statistical techniques, and data science practices - such as experimentation, forecasting, clustering, etc. - to wrangle data and deliver relevant and trustworthy insights.

Learn more about our culture:
Our Story & Core Values: Bringing People together changes everything
Women Leadership: How Salesforce is nurturing women tech leaders of the future
Everyone can be a Trailblazer with Salesforce
Why Bring Your Kids to Work Day is so much more than one day of fun

Success in the Role: What would it look like?
As a Decision Scientist, you are

A hands-on analyst
You will generate insights (e.g., performance drivers, retention analysis, behavioral personas and much more) to accelerate business growth. This requires acquiring and cleaning data from multiple sources, structuring and building data models, analyzing to generate insights, and distributing those insights to business leaders.
You have an experimentation mindset. You are excited about understanding the business problem and your internal users, focusing on outcome not output, and iterating to achieve the business outcome through an experimental approach.
A strategic problem solver
You understand the "big picture" context of your business and analyze data with business a mentality
You translate business challenges into an analytical plan; you think practically and creatively to craft quick, effective solutions to problems
A relationship builder
You will develop relationships and collaborate with teams to understand business problems and create and implement an analytical plan
You are comfortable delivering insights to an executive audience
A cross-functional partner
You will partner with data engineers and product managers to instrument, acquire, develop, and structure data assets that are critical to measuring the success of our products
Identify internal and external collaborators to curate data assets and produce actionable data insights and products
A data champion/A data-lover at heart/data evangelist
You will support the expansion of Salesforce data culture by growing new relationships, hosting learning sessions, integrating or designing new tools, and improving team processes
Your Experiences
5+ years of experience in data analytics or data science or a master's degree in data science, statistics, applied mathematics, analytics or a related field, or equivalent alternative education, skills, and/or practical equivalent experience
You are proficient in common analytical programming languages (e.g. Python or R) and SQL
You have a strong understanding of statistical and machine learning methods such as A/B testing, experiment design, causal inference, quasi-experimental methods, common ML models, recommendation systems etc.
You are familiar with end-to-end data development, including data model design, quality review, deployment, and maintenance
You are proficient in telling data stories in a wide range of formats, including slides, charts, and dashboards (e.g. Tableau), and can coherently articulate the business impact of your insights product
You are able to plan projects in detail, set schedules, coordinate resources across product, data, and engineering teams, complete projects end-to-end, and make sure timelines and quality expectations are met

Accommodations

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Posting Statement

At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at www.equality.com and explore our company benefits at www.salesforcebenefits.com.

Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce.

Salesforce welcomes all.

Client-provided location(s): Hyderabad, Telangana, India
Job ID: Salesforce-JR242732
Employment Type: Full Time

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Health Reimbursement Account
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • FSA With Employer Contribution
    • HSA
    • HSA With Employer Contribution
    • Fitness Subsidies
    • On-Site Gym
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
  • Office Life and Perks

    • Casual Dress
    • Happy Hours
    • Snacks
    • Some Meals Provided
    • Company Outings
  • Vacation and Time Off

    • Paid Vacation
    • Unlimited Paid Time Off
    • Paid Holidays
    • Personal/Sick Days
    • Leave of Absence
  • Financial and Retirement

    • 401(K)
    • 401(K) With Company Matching
    • Company Equity
    • Stock Purchase Program
    • Performance Bonus
    • Relocation Assistance
  • Professional Development

    • Tuition Reimbursement
    • Learning and Development Stipend
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Lunch and Learns

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