Principal Data Scientist (Full Time; Multiple Openings)

Say hello to possibilities.
It's not everyday that you consider starting a new career. We're RingCentral, and we're happy that someone as talented as you is considering this role. First, a little about us, we're the $2 billion global leader in cloud-based communications and collaboration software. We are fundamentally changing the nature of human interaction- giving people the freedom to connect powerfully and personally from anywhere, at any time, on any device.

This is where you and your skills come in. We're currently looking for: Responsible for the design, development, and optimization of advanced machine learning models, statistical methodologies, and data analyses to support customer retention, acquisition, and expansion initiatives.

To succeed in this role you must meet the following requirements:

• Apply advanced techniques in machine learning, econometrics, and statistical frameworks to address complex business problems and generate measurable outcomes
• Collaborate with business teams to translate business requirements into model design and development
• Design, develop, and implement predictive machine learning models by applying Python programming and advanced statistical techniques to meet key business requirements in customer retention, acquisition, and expansion
• Extract and analyze data, provide insights and conduct statistical analysis
• Optimize existing machine learning and statistical models by performing model tuning, feature analysis, and algorithm selection to enhance efficiency, robustness, and predictive performance across diverse customer segments
• Conduct model validation and monitoring by developing evaluation processes and implementing performance metrics to ensure the accuracy, stability, and interpretability of predictive models in production environments
• Document key model insights and findings by preparing formal model development documentation
• Collaborate with data scientists, engineers, business stakeholders, and analysts by participating in cross-functional discussions, translating business objectives into model requirements, and integrating modeling solutions with data platforms and production systems
• Partner with Business, Product, and Engineering teams to analyze complex datasets and provide data-driven insights and recommendations that support strategies in risk analytics, business growth, and customer segmentation

Desired Qualifications:

• U.S. Master's degree in Data Science, Computer Engineering or a related field, or foreign equivalent, plus two (2) years of related experience, or U.S. Bachelor's degree or equivalent in Data Science, Computer Engineering or a related field plus five (5) years of related experience, is required. Within the foregoing parameters, any suitable combination of education, training and experience is acceptable
• Experience with Python, model building, model validation, data analysis, statistical analysis, development of machine learning models, gradient boosting models, building predictive models using customer data, business forecasting, risk analysis, Amazon Web Services (AWS), Spark, and translating business requirements into predictive model design and development is required.

What we offer:

• Comprehensive medical, dental, vision, disability, life insurance
• Health Savings Account (HSA), Flexible Spending Account (FSAs) and Commuter benefits
• 401K match and ESPP
• Paid time off and paid sick leave
• Wellness programs including 1:1 coaching and meditation guidance
• Paid parental and pregnancy leave and new parent gift boxes
• Family-forming benefits (IVF, Preservation, Adoption etc.)
• Emergency backup care (Child/Adult/Pets)
• Parental support for children with developmental and learning disabilities
• Pet insurance
• Employee Assistance Program (EAP) with counseling sessions available 24/7
• Free legal services that provide legal advice, document creation and estate planning
• Employee bonus referral program
• Student loan refinancing assistance
• Employee perks and discounts program

RingCentral's work culture is the backbone of our success. And don't just take our word for it: we are recognized as a Best Place to Work by Glassdoor, the Top Work Culture by Comparably and hold local BPTW awards in every major location. Bottom line: We are committed to hiring and retaining great people because we know you power our success. RingCentral offers on-site, remote and hybrid work options optimized for the ways we work and live now.

About RingCentral
RingCentral, Inc. (NYSE: RNG) is a leading provider of business cloud communications and contact center solutions based on its powerful Message Video PhoneTM (MVPTM) global platform. More flexible and cost effective than legacy on-premises PBX and video conferencing systems that it replaces, RingCentral empowers modern mobile and distributed workforces to communicate, collaborate, and connect via any mode, any device, and any location. RingCentral is headquartered in Belmont, California, and has offices around the world.

RingCentral is an equal opportunity employer that truly values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

This posting is pursuant to and is in compliance with the applicable federal rules of the U.S. Department of Labor regulations. Benefits may include, but are not limited to, health and wellness, 401k, ESPP, vacation, parental leave, and more! The salary may vary depending on your location, skills, and experience. We hire for this role frequently. There is no application deadline for this role.