All roles at JumpCloud are Remote unless otherwise specified in the Job Description.
With JumpCloud®, IT teams and MSPs enable users to work securely from anywhere and manage their Windows, Apple, Linux, and Android devices from a single platform. JumpCloud® is IT Simplified.

As a Senior Data Scientist at JumpCloud, you will be a key leader in our mission to turn complex data into competitive intelligence and automated solutions. You'll be joining a high-impact team where you will do more than just analyze data, but designing the predictive models and machine learning frameworks that power our most critical business decisions across all business units (Finance, Marketing, Sales, Growth, UX, Customer Success, Product).

In this role, you will lead the end-to-end lifecycle of data science projects, from initial research and experimental design to deploying scalable models in production. As a senior member of the team, you will also play a vital role in mentoring our analysts and scientists, fostering a culture of technical excellence, and ensuring our data practices stay ahead of industry trends.

Collaborating and driving large, impactful projects involving predictive modeling, advanced statistical analysis, and machine learning integration with involvement across various stakeholders, business units, and technical partners
Owning the outcomes of the data science initiatives you're leading. You're not just building models; you hold yourself responsible for the performance, accuracy, and real-world business impact of the algorithmic solutions you deploy
Gathering requirements and providing actionable, data-driven recommendations to business stakeholders that are seen routinely at an executive level, driving the adoption of automated decision-making and predictive insights
Mentoring and growing the other data scientists and analysts in the company. We've got a great team full of potential; you'll be helping other members master advanced techniques, improve their coding standards, and achieve their full technical potential
Supporting the team's research roadmap, strategic technical decision-making,



and long-term data strategy planning, ensuring our infrastructure supports the future of our modeling needs
Staying up-to-date on industry trends, emerging AI technologies (such as LLMs and Generative AI), and best practices in MLOps, and applying them to solve our most complex business challenges

5+ years of hands-on experience in data science or machine learning, with a proven track record of deploying models that drove measurable business impact, SaaS industry preferred

- Advanced quantitative and modeling experience (Regression, Clustering, NLP, etc.). Experience working with LLMs, including prompt engineering and leveraging APIs
- Advanced predictive modeling skills and a passion for data storytelling and translating complex algorithmic outputs into business strategy
- Proficiency in machine learning frameworks (Scikit-learn, XGBoost, PyTorch, or TensorFlow); experience with MLOps and model deployment highly preferred
- Strong mentoring skills, with a track record of leveling up the technical capabilities of a data team
- Advanced knowledge and experience in SQL and relational databases; Snowflake experience highly preferred
- Expertise in scripting languages such as Python (Jupyter, Pandas, Numpy, Scikit-learn) and/or R (tidyverse, tidymodels) to build scalable data products
- Robust attention to detail and a desire to stay at the forefront of AI/ML research
- Strong 'owner' mindset to take ambiguous business problems and turn it into a concrete and actionable project
- Effective stakeholder management and communication skills, specifically the ability to explain complex AI/ML concepts to non-technical partners
- Effective project management and organizational skills




- Experience supporting and working with cross-functional teams in a fast-paced, unstructured, dynamic environment
- Bachelor's degree (or equivalent experience) in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field

JumpCloud 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. Language: JumpCloud® 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 JumpCloud®, 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.

You'll work with amazing talent across each department who are passionate about our mission. To us that means creating ' human connection with each other regardless of our backgrounds, orientations, geographies, religions, languages, gender, race, etc. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

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📌 Senior Data Scientist (AI/ML) (Bengaluru)
🏢 Jumpcloud
📍 Bengaluru