Data Scientist Jobs

About the role

Rippling’s Data Science team has led the effort in building the predictive analytics engine behind one of the fastest startup growth stories ever. We are rapidly launching new product lines and expanding globally, and it’s critical that our forecasting and growth strategy scale in line with this hyper-growth.

We’re looking for a Go-to-market Staff/Lead Data Scientist to join the central Data Science team. You’ll work in a cross-functional and fast-paced environment and your work will ensure we make the right decisions to fuel our growth, optimize our funnel and strengthen our unit economics. As an early data hire, you’ll have the opportunity to play a key role in advancing our modeling, influence the roadmap and tackle complex problems. We’re in the process of significantly increasing our Marketing spend, expanding our sales force alongside a drumbeat of new product launches.

What you will do

• Proactively identify strategic opportunities and provide recommendations through ad-hoc and deep dive analysis.
• Develop and maintain high-visibility dashboards on forecasting, growth programs and their key performance metrics..
• Partner with cross-functional teams (Growth, Growth Engineering, Marketing Operations, Sales, FP&A and Data Engineering) to build out our data foundation for scale, define and standardize metrics, and promote cross-functional visibility into the supporting data and models.
• Develop and maintain forecasting models to predict key business metrics, such as ARR, user acquisition, and retention.
• Integrate additional data sources into our attribution models to provide additional insights on our various business growth levers.
• Be the expert in experimental design, predictive modeling, and attribution.

What you will need

• Bachelor’s degree in Math, Analytics, Data Science, Economics, Statistics, Computer Science or other quantitative fields with 7+ years of industry experience or Master’s degree with 3+ years of experience.
• Ability to deliver actionable insights by synthesizing data into useful formats and conveying findings in a clear manner to influence decision makers.
• Ability to actively manage and influence stakeholders through strong communication skills, both in verbal and written form.
• Ruthless prioritization and time management.
• Strong proficiency in SQL, Tableau (or other Business Intelligence tools), and Python/ R (to perform analysis and create basic statistical models).
• Experience partnering closely in a SAAS setting with business partners from the Finance, Sales and Marketing teams.
• Experience with causal inference and predictive modeling.
• Organized, attentive to detail, and intellectually curious.

Additional Information

Rippling is an equal opportunity employer. We are committed to building a diverse and inclusive workforce and do not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics, Rippling is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email [email protected]

Rippling highly values having employees working in-office to foster a collaborative work environment and company culture. For office-based employees (employees who live within a 40 mile radius of a Rippling office), Rippling considers working in the office, at least three days a week under current policy, to be an essential function of the employee's role.

This role will receive a competitive salary + benefits + equity. The salary for US-based employees will be aligned with one of the ranges below based on location; see which tier applies to your location here.

A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, and location. Final offer amounts may vary from the amounts listed below.

The pay range for this role is:

• 160,000 - 247,000 USD per year (Tier 1)