Senior Data Scientist

RingCentral; Manila; On-site; PHP 1,500,000 - 2,100,000; Full time

Benefits offered by this job

Comprehensive HMO package (medical and

Paid time off and paid sick leave

Quarterly Performance Bonus

Employee Assistance and Wellness

Job summary

RingCentral is seeking a senior data scientist to lead end-to-end data pipelines and ML/AI initiatives in a collaborative, production-focused team in Metro Manila. You will shape the technical direction and translate business needs into reliable data solutions using Python, SQL, and modern ML tools.

You'll work with data engineers, analysts, and stakeholders to implement robust pipelines, validate models, and drive responsible AI adoption across projects.

Qualifications

• 5–7 years of experience as a Data Scientist or similar, with production delivery experience.
• Proven ability to design, build, and maintain end-to-end data science pipelines.
• Strong Python and SQL skills; production-grade, tested code required.

Responsibilities

• Design, build, and deploy data science pipelines end-to-end and own them in production.
• Shape the data science roadmap and set technical direction with stakeholders.
• Translate analytics requirements into robust Python code and automate calculations.
• Support analytics projects across Python, Snowflake, and other sources.
• Apply statistics, ML, or LLMs; validate results and weigh trade-offs.
• Maintain and improve projects; enforce code reviews, testing, and docs.
• Evaluate new AI tools/frameworks and establish best practices.
• Collaborate with Data Engineers, Analysts, Warehouse, and business teams.

Skills

Python

SQL

pandas

NumPy

Git

Snowflake

scikit-learn

TensorFlow

PyTorch

Hugging Face

LLM APIs

Claude/OpenAI

Claude Code / Codex

Tools

Snowflake

Git

VS Code / IDEs

Job description

Say hello to opportunities.

If you’re looking to be part of what’s next in communication, you’re in the right place.

At RingCentral, we believe the best customer experiences happen when humans and AI work together. Our agentic voice AI portfolio—AIR, AVA, and ACE—brings together automation, assistance, and insights across the entire conversation lifecycle. The result? More seamless, intelligent experiences for businesses everywhere.

With $2.5B+ in ARR and $250M invested in R&D annually, we’re building the future of AI-powered business communications

This is where you and your skills come in. We’re currently looking for:

This senior position requires deep expertise in data analytics and artificial intelligence (machine learning, deep learning, LLMs) and the ability to translate business requirements into reliable, production-grade solutions. You will help set the technical direction for our data science work and raise the engineering standard across the team. The tools in this field change every few months, so keeping your knowledge up to date is part of the job.

Responsibilities

• Design, build, and deploy data science pipelines end to end, and own them after they go live, including monitoring, reliability, and performance
• Help shape the data science roadmap: identify high-value use cases, recommend solutions and priorities to stakeholders, and set technical direction and architecture for the team.
• Translate calculations and metric definitions from the analytics team into Python code, and automate them, challenging or refining definitions where the data or method calls for it
• Support the Data Analytics team by independently scoping and delivering data science projects for recurring and ad-hoc requests using Python, Snowflake, and various source systems.
• Explore and prepare data, and select and apply statistical methods, machine learning, or LLMs where they fit the problem, weighing trade-offs and validating results rigorously.
• Maintain and optimize existing projects, and set and uphold team standards for code review, testing, documentation, and regular updates.
• Evaluate and introduce new tools, frameworks, and AI capabilities, and establish best practices for using them responsibly.
• Collaborate cross-functionally with Data Engineers, Data Analysts, the Data Warehouse team, and business stakeholders to translate business requirements into technical data solutions.

What We're Looking For

• Experience: 5-7 years of experience in a Data Scientist or closely related position, with a track record of delivering data science solutions into production.
• Core Skill: proven experience in designing, building, and maintaining data science pipelines end to end, including owning them in production.
• Tech Stack: Advanced Python and SQL skills, including pandas and NumPy, with the ability to write clean, tested code that can be used in production. Git is required. Experience with Snowflake and scikit-learn is strongly preferred; experience with TensorFlow, PyTorch, or Hugging Face is a plus.
• AI: Hands-on experience using LLM APIs (Claude, OpenAI) in your projects is strongly preferred, along with using AI coding tools like Claude Code or Codex responsibly.
• Problem Solving: A strong foundation in statistics, data preparation, and model evaluation. Demonstrated ability to convert numerical formulas into accurate code, choose and justify the right algorithm for a use case, work through ambiguous problems, and find creative workarounds when necessary.
• Technical Leadership: Proven ability to set technical direction, review others' code, and mentor colleagues informally, influencing through expertise rather than formal management authority.
• Attitude: A positive mindset, a strong willingness to learn, and the initiative to act without close direction. You're a generalist, comfortable with both structured and unstructured data.
• Communication: You'll work with several teams across the analytics organization, so you need to discuss requirements, explain technical findings, and make clear recommendations to both technical and business colleagues, including senior stakeholders.

What we offer

• Comprehensive HMO package (medical and dental)
• Paid time off and paid sick leave
• Quarterly Performance Bonus
• Employee Assistance and Wellness Programs

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 BuiltIn, 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.

About RingCentral/Acquire Intelligence

RingCentral is a global leader in agentic voice AI–powered business communications, delivering an integrated platform for business phone, SMS, contact center, workforce engagement management, video collaboration, and messaging. As the communications layer connecting businesses and customers, RingCentral is the front door of business communication and is in the advantageous position to apply AI at every phase of the conversation journey — before, during, and after each interaction. Our agentic AI portfolio includes autonomous voice-first AI agents that automate calls, assist in the moment, and analyze every interaction – enabling businesses to work smarter, respond faster, and connect more meaningfully with their customers. Visit ringcentral.com to learn more.

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. We are committed to providing reasonable accommodations for individuals with disabilities during our application and interview process. If you require such accommodations, please click on the following link to learn more about how we can assist you.

Acquire Intelligence transforms the way companies grow and operate by combining intelligent global outsourcing with AI consulting and implementation to accelerate growth and transform business at scale.

We eliminate inefficiencies, automate with intent, and reallocate work to where it performs best. With 9,000 employees across Australia, the Philippines, the Dominican Republic, and the United States, we provide secure and scalable solutions in customer experience, back office, and digital operations.

Founded in 2006, Acquire offers flexible delivery models ranging from building Remote Teams to comprehensive outsourcing in both onshore and offshore locations. Our AI division accelerates transformation with automation strategies that deliver guaranteed ROI. All solutions are backed by deep expertise and enterprise grade compliance.

At Acquire Intelligence, we are Safe, Flexible, and Innovative. We deliver transformation with intent, impact, and entrepreneurial energy.

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