Lead Data Scientist (Culture & Talent) 

As Sprinklr continues to grow, two of our key areas of focus are talent management and workforce planning. As a Lead Data Scientist within the HR function (which at Sprinklr we call Culture & Talent) you will be responsible for taking people analytics at Sprinklr to the next level by incorporating predictive analytics, AI and machine learning to our analytical reporting capabilities. You will report to the Chief of Staff and work with a highly skilled small team of analysts who will partner with C&T Business Partners to identify, analyze, and operationalize outcomes that provide value to both the business and its people. We have a strong culture of data-driven decision-making across the whole company. As Sprinklr grows, this team will form the analytics function as a center of expertise and help us understand how our culture and processes impact people's performance and happiness and what we can do to keep improving in these areas. This is an opportunity to bring industry-leading techniques to Sprinklr and help set the agenda for the year ahead. 

In addition to leading the People Analytics team, the Lead Data Scientist will have demonstrable experience in research and analyses across a broad range of people-related topics such as talent acquisition, performance, learning and development, diversity, compensation, and retention. They will also have experience working closely with a number of internal stakeholders, including, Finance, Sales Operations, the Executive/Senior Leadership team, People Leaders across business and the wider C&T community. Relationship skills are essential as the Data Scientist navigates these teams to explain findings and easily translate recommendations into the language of the business.

Position Responsibilities:

• Lead a small but mighty team of talented individuals, driving analytics-based people decisions, taking initiatives and prioritizing projects.
• Willingness to roll up sleeves and undertake projects that accelerate growth and create value for Sprinklr.
• Identify the key organizational trends using statistical modeling, machine learning and text analytics, and propose action plans working closely with stakeholders.
• Perform predictive analytics to identify future organizational issues and key people trends, and provide actionable recommendations to stakeholders.
• Design, build and manage automation tools using Python/ Apps Script/ VBA for a wide range of business requirements including slack apps or bots for surveys, automated birthday or anniversary emails for employee engagement, auto-data correction tools etc.
• Work with large, complex, structured and unstructured data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods.
• Produce a range of accurate and timely people MI, reports and insight across the employee life cycle from multiple internal and external data sources including ops and board review decks, Sales QBR reports etc.
• Collaborate with stakeholders within C&T and other functions such as Finance, R&D etc. to ensure alignment in workforce reporting and/ or supporting ‘Sprinklr on Sprinklr’ initiatives.
• Build and maintain centralized data warehouse and organizational reporting dashboards in Tableau/ DOMO, automating time-consuming and error-prone manual reporting tasks.
• Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis and ongoing deliverables.
• Understand what metrics and reporting market leading tech companies are providing, and ensure these are embedded within the wider Analytics plan of work.
• Manage people analytics governance, ensuring all projects are prioritized by business value and aligned with other analytics projects in the organization.
• Ability to pull disparate data points and research together to tell compelling stories and influence leaders.
• Provide strategic frameworks for statistical data modeling of critical workforce planning measures such as attrition, retention, engagement, performance, L&D and diversity reporting.

Leadership Attributes:

• Established leader with a successful track record of data-driven decision-making and the ability to drive factual thinking throughout the organization.
• Natural leader with a positive management style, combined with superior communication skills and unwavering ethics and integrity.
• Solid critical thinker with a proven ability to collaborate with both leadership and teams, demonstrating ability to influence, make sound decisions, and gain alignment.
• Confident and credible leader with superior interpersonal skills and presence, an effective ability to quickly establish credibility, trust and support within all levels of the organization.
• Solutions-oriented and driven leader with ability to convey a clear vision with a demonstrated track record of executing against results.
• Values-Based, Culture First leader who reinforces The Sprinklr Way in day-to-day behaviors, management style, and expectations.
• Leader with solid business acumen and effective operational focus, particularly in a fast-paced environment.

Requirements:

• Masters in a field that emphasizes analyzing, displaying, or reporting on data (e.g., computer science, statistics, math, engineering, economics).
• 3+ years of work experience in the field of Data Science, building and productionizing machine learning / AI algorithms for classification, regression, clustering, time series forecasting, topic modeling, anomaly detection etc.
• 3+ years of experience with tools such as Python, R, MongoDB, Domo, Tableau, SQL, ADP, Salesforce, Excel and any other related programs for executing the above responsibilities.
• Strong in-depth experience focused on using a variety of structured and unstructured datasets to uncover insights that drive action.
• Good understanding of data visualization principles and fundamentals of probability and statistics.
• Strong project and stakeholder management skills.
• Advanced presentation skills to share key insights with executives, senior leadership and C&T stakeholders.
• Experience with data management and having an understanding of data structures as well as data ingestion, blending, transformation and visualization techniques.

Skills:

• Team player and strong leadership capabilities, driving the team towards growth and excellence both individually and collectively.
• Communication skills and an ability to partner effectively across the organization.
• Able to work with a high degree of complexity and at times, uncertainty, since you will be working with multiple stakeholders, some of whom will have limited analytics exposure and understanding.
• Commercially minded and can put numbers into business perspective.
• Highest standards of accuracy and precision; highly organized.
• Articulate with excellent verbal and written communication skills.
• Ability to think creatively and solve challenging problems; highly-driven and self-motivated.
• Ability to work under tight deadlines and prioritize work to deliver projects on time.

Why You'll Love Sprinklr: We offer a flexible work environment, unlimited vacation, and generous pay and benefits packages. While we have some amazing perks, at the end of the day, Sprinklrites are here for the opportunity to grow, learn, and affect the industry with incredible ingenuity. #Sprinklrlife 

We focus on our mission: We believe social technology is the future of customer-brand relations across all departments, and we seek to make each of those experiences excellent at every touchpoint. This is how we all make the world more social together.

We invest in our people - Sprinklrites passionately, genuinely care about seeing one another succeed in making an impact on the industry. We pride ourselves on having an honest, open environment and a supportive culture where we can take risks together.

We believe in our product - Sprinklr is the most complete enterprise social technology in the world, and we're not just saying that Forrester Wave said it for us! As such, we have many of the world's largest brands as our clients, and our employees have the opportunity to work closely alongside them.

Employment Policy
Sprinklr’s policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law. Sprinklr, Inc. participates in the E-Verify Program.  As a participating employer, Sprinklr, Inc. will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employee’s Form I-9 to confirm work authorization. Sprinklr, Inc. follows all federal regulations including those set forth by The Office of Special Counsel for Immigration-Related Unfair Employment Practices (OSC).  The OSC enforces the anti-discrimination provision (§ 274B) of the Immigration and Nationality Act (INA), 8 U.S.C. § 1324b.

Disclaimer
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Any offer (s) of employment are contingent upon a satisfactory background and criminal records check, which will be conducted in accordance with local legal regulations.