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RingCentral

Senior Data Scientist

Posted 7 Days Ago
Be an Early Applicant
Remote or Hybrid
Hiring Remotely in Bulgaria
Senior level
Remote or Hybrid
Hiring Remotely in Bulgaria
Senior level
As a Senior Data Scientist, you will design and implement machine learning models, oversee production systems, and collaborate with cross-functional teams to enhance customer experience.
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Say hello to opportunities.

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 a $2 Billion annual revenue company with double digit Annual Recurring Revenue (ARR) and a $93 Billion market opportunity in UCaaS, Contact Center and AI-powered adjacencies. We invest more than $250 million annually to ensure our AI-enabled technology and platforms meet or exceed the needs of our customers. 

As a Senior Data Scientist in the Agentic Support Technology Team, you will take a key role in transforming our 1,300-person global support organization from traditional human-centered operations into an agentic, AI-driven ecosystem. This role combines deep expertise in data science with contact center domain knowledge to deliver significant efficiency gains while maintaining world-class customer satisfaction.

As a hands-on senior individual contributor, you will design, build, and deploy next-generation machine learning–powered support systems, while serving as a technical liaison to product, engineering, and business stakeholders.

This role requires on-site presence at our office 4 days a week to support effective collaboration and teamwork.

To succeed in this role you must have experience in:

  • Design and implement machine learning models for UCaaS and CCaaS use cases

  • Translate cutting-edge machine learning research into practical, scalable production solutions

  • Explore new data sources and innovative machine learning approaches to improve customer experience

  • Partner with technical support and product teams to align machine learning solutions with business goals

  • Work closely with engineering teams to integrate machine learning models into our products and internal platforms

  • Own machine learning systems end-to-end, from data collection and modeling to deployment and monitoring

  • Ensure model quality, performance, and continuous improvement in production environments

Desired Qualifications:

  • MSc in Computer Science, Machine Learning, Data Science, Statistics, or a related technical field

  • 5+ years of experience in applied machine learning research and development

  • Strong Python and SQL skills, with experience using ML frameworks such as PySpark and TensorFlow

  • Hands-on experience deploying and maintaining machine learning systems in production

  • Experience with cloud platforms such as AWS or Azure

  • Excellent communication skills and a collaborative, cross-functional mindset

What we offer:  

  • Well-coordinated professional team.

  • Cutting edge technologies, interesting and challenging tasks, dynamic project, great opportunities for self-realization, professional and career growth.

  • Additional Health and Life Insurance Package.

  • Employee Assistance Program.

  • 25 vacation days.

  • 102.26 EUR/200 BGN Digital Food Vouchers.

  • 61.36 EUR/120 BGN Gross as part of the salary for Working Expenses Allowance.

About RingCentral

RingCentral, Inc. (NYSE: RNG) is a leading provider of business cloud communications and contact center solutions based on its powerful Message Video Phone™  (MVP™) 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.

 

Top Skills

AWS
Azure
Pyspark
Python
SQL
TensorFlow

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