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Product Adoption & Expertise - Decision Scientist

  • Job
    Full-time
    Junior Level
  • Data
    Research & Development
  • Hyderabad, +1
  • Quick Apply

AI generated summary

  • You need 2 years in product analytics or a relevant master's, expertise in Python/R and SQL, strong stats knowledge, data development experience, and abilities in project planning and data storytelling.
  • You will analyze data to generate insights, partner with senior leaders on strategies, build relationships, collaborate with teams on data projects, and enhance the data culture.

Requirements

  • At least two years of experience in product analytics or data science or a masters degree in data science, statistics, applied mathematics, analytics or a related field, or equivalent alternative education, skills, and/or practical equivalent experience
  • You are advanced in common analytical programming languages (e.g. Python or R) and SQL
  • A graduate degree in Statistics or MBA from top university strongly preferred
  • You have strong understanding of statistical methods
  • 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)
  • You are able to plan projects in detail, set schedules, coordinate resources across product, data, and engineering teams, execute project end-to-end, and make sure deadlines and quality expectations are met

Responsibilities

  • You will generate product insights (e.g., performance drivers, retention analysis, behavioral personas) 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 will partner with Senior Leadership (VP+) to understand their business challenges and advise on strategic objectives, product direction, roadmaps, growth goals, and retention strategies.
  • You will develop and own the relationships with senior stakeholders, including (but not limited to): Business Leaders, Product Managers, User Researchers, and Customer Success teams.
  • You will partner with the data engineering team and product engineering team 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 deliver relevant and actionable data insights and products.
  • You will contribute to the expansion of Salesforce data culture by growing new relationships, hosting learning sessions, integrating or designing new tools, and improving team processes.

FAQs

What is the primary role of a Decision Scientist in the Product Adoption team at Salesforce?

The primary role of a Decision Scientist in the Product Adoption team is to evolve product adoption strategies and measure the value that Salesforce products bring to customers, while generating insights to accelerate business growth.

What qualifications are required for this position?

Candidates should have at least two years of experience in product analytics or data science, or a master's degree in data science, statistics, applied mathematics, analytics, or a related field, along with advanced skills in analytical programming languages like Python or R and SQL.

Is there an emphasis on collaboration in this role?

Yes, the role requires strong relationship-building skills, as you will be working with senior stakeholders, and cross-functional teams including data engineering and product engineering to deliver actionable data insights.

What technical skills are necessary for the Decision Scientist position?

Proficiency in analytical programming languages (e.g., Python or R), SQL, and strong understanding of statistical methods is necessary, as well as experience with data model design and visualization tools like Tableau.

How does Salesforce support career growth for this role?

Salesforce empowers employees to drive their performance and career growth, providing opportunities to partner with senior leadership and engage in impactful projects that influence business strategy.

What type of projects will a Decision Scientist be involved in?

A Decision Scientist will work on projects related to product insights, retention analysis, user experience measurement, and the development of data applications and dashboards, among other analytics initiatives.

How important is data storytelling in this role?

Data storytelling is crucial, as Decision Scientists need to convey insights through various formats including dashboards, slides, and presentations to make data understandable and actionable for business leaders.

What is the company culture like at Salesforce?

Salesforce promotes a culture based on its core values, emphasizing trust, equality, and customer success, while fostering a diverse and inclusive workplace.

What opportunities are there for learning and development in this role?

The position includes opportunities to contribute to Salesforce's data culture through hosting learning sessions, integrating new tools, and improving team processes, fostering both personal and professional development.

Is prior experience in the tech industry necessary for this role?

While experience in the tech industry can be beneficial, it is not explicitly required. Relevant skills and a strong foundation in data and analytics are highly valued.

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Mission & Purpose

Salesforce is a leading cloud-based software company that provides customer relationship management (CRM) solutions and a wide range of enterprise applications. Their platform enables businesses to manage customer interactions, sales processes, marketing campaigns, and service operations in a centralised and efficient manner. Salesforce's ultimate mission is to empower companies to connect with their customers, partners, and employees in meaningful ways, fostering stronger relationships and driving business growth. Their purpose is to revolutionise the way businesses operate by offering a comprehensive suite of cloud-based tools and applications that streamline processes, enhance collaboration, and enable organisations to make data-driven decisions. With a strong focus on innovation, customer success,