Staff Data Scientist, Machine Learning - India

All roles at the company® are Remote unless otherwise specified in the Job Description.

About the company®

The company® is the AI-powered unified IT management platform designed to secure the modern workforce. By consolidating identity, device, and access management, the company provides intelligent, secure IT that scales from human users to autonomous AI agents. We help organizations around the globe eliminate complexity and turn AI risk into an optimized advantage, ensuring the right people and agents have secure access to the right resources at all times.

The company is Intelligent, Secure IT.

About the Role

We are seeking a hands-on Staff Data Scientist to architect and execute Machine Learning solutions, develop Large Language Models (LLMs), and build the AI stack to automate complex Data Analytics workflows. This role is at the heart of the company's applied-AI journey, combining deep foundations in classical machine learning with practical experience in building AI agents and systems that transform business decision-making and analytics delivery.

What We Are Looking For

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Professional Experience: 8+ years across analytics, LLMs, data science, and applied machine learning, with a proven track record of owning business-facing solutions.

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Product-Focused ML: Experience developing real-time anomaly detection models and large-scale data processing systems to identify product usage signals and adoption patterns.

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Business ML Applications: Ability to solve business problems using predictive and prescriptive modeling, including price sensitivity, churn, revenue forecasting, and marketing mix optimization.

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Domain Expertise: Knowledge of identity threat signals (e.g., unusual logins, MFA behavior, authentication velocity) and analyzing deviations from historical user behavior.

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AI Execution & Advisory: Expertise in managing AI service costs and relevance, building AI agents for automated analysis, and generating explainable insights within business workflows.

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Analytics Foundations: Strong background in segmentation, root cause analysis, funnel optimization, and acquisition quality scoring to drive growth and efficiency.

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Thought Leadership: Capability to reason through unfamiliar domains to identify potential signals, features, and modeling approaches independently.

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Ecosystem Background: Experience in fast-paced, data-first environments or startups where ML is a core driver of business outcomes.

What You Will Own

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AI Stack Roadmap: Leading the path from opportunity sizing and prototyping through to evaluation, deployment, and impact measurement.

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Technical Execution: Ensuring robust performance, validation, and inference of real-time models using the latest industry improvements.

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Standards & Governance: Establishing pragmatic standards for model development, LLM evaluation, observability, security, and cost management.

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Capability Mentorship: Coaching analysts and creating reusable tools to raise the collective quality of predictive problem-solving.

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Strategic Communication: Translating complex technical work into clear recommendations and trade-offs for senior stakeholders.

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Cross-Functional Leadership: Aligning stakeholders with competing priorities and creating clarity in ambiguous settings to influence outcomes.

Technical Breadth

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Expertise in Python, SQL, statistical analysis, and common ML frameworks.

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Deep knowledge of MLOps, including feature engineering, deployment, inference, and monitoring.

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Proficiency with LLM APIs, RAG, Semantic Layers, Embeddings, and agent orchestration frameworks.

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Experience building robust ML pipelines for both real-time and asynchronous predictions.

Behavioral Strengths

• Exceptional business acumen and clarity of thought.

• Curiosity driven by purpose with the ability to "zoom in" on details and "zoom out" for strategy.

Preferred Qualifications

• Understanding of recurring-revenue B2B SaaS business models.

• Experience with Data Engineering: Data governance, transformation, and orchestration patterns on modern platforms.

#LI-PD1

Where you’ll be working/Location

The company is committed to being Remote First, meaning that you are able to work remotely within the country noted in the Job Description.

This role is remote in the country of India. You must be located in and authorized to work in India to be considered for this role.

Language

The company® has teams in 15+ countries around the world and conducts our internal business in English. The interview and any additional screening process will take place primarily in English. To be considered for a role at the company®, you will be required to speak and write in English fluently.  Any additional language requirements will be included in the details of the job description.

Why the company?

If you thrive working in a fast, SaaS-based environment and you are passionate about solving challenging technical problems, we look forward to hearing from you! The company® is an incredible place to share and grow your expertise! You’ll work with amazing talent across each department who are passionate about our mission. We’re out of the box thinkers, so your unique ideas and approaches for conceiving a product and/or feature will be welcome. You’ll have a voice in the organization as you work with a seasoned executive team, a supportive board and in a proven market that our customers are excited about.

One of the company®'s three core values is to “Build Connections.” To us that means creating " human connection with each other regardless of our backgrounds, orientations, geographies, religions, languages, gender, race, etc. We care deeply about the people that we work with and want to see everyone succeed." - Rajat Bhargava, CEO

Please submit your résumé and brief explanation about yourself and why you would be a good fit for the company®.  Please note the company® is not accepting third party resumes at this time.

The company® is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Scam Notice

Please be aware that there are individuals and organizations that may attempt to scam job seekers by offering fraudulent employment opportunities in the name of the company. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers. Please note that the company will never ask for any personal account information, such as credit card details or bank account numbers, during the recruitment process. Additionally, the company will never send you a check for any equipment prior to employment.

All communication related to interviews and offers from our recruiters and hiring managers will come from official company email addresses [link for members] and will never ask for any payment, fee to be paid or purchases to be made by the job seeker. If you are contacted by anyone claiming to represent the company and you are unsure of their authenticity, please do not provide any personal/financial information and contact us immediately at [link for members] with the subject line "Scam Notice"

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