Principal Data Scientist
Job Summary
Job Description
- Advanced understanding of machine learning and AI.
- Strong knowledge of statistical modeling and data exploration.
- Proficiency in Python and experience in MongoDB.
- Solid foundation in mathematics and statistics.
- Experience in model deployment and MLOps.
- Experience in leading data science teams.
- Ability to manage projects and meet timelines.
- Ability to translate complex ML concepts to stakeholders.
- Creating clear and thorough documentation.
- Interesting Work
- Tribe Vibe
- Bragging Rights
- One Team One Dream
15 skills required
Job Details
What is Contentstack?
Learn more at www.contentstack.com.
Who Are We?
At Contentstack we are more than colleagues, we are a tribe. Our vision is to pursue equity among our communities, employees, partners, and customers. We are global-diverse yet close; distributed yet connected. We are dreamers and dreammakers who challenge the status quo. We do the right thing, even when no one is watching. We are curious trendspotters and brave trendsetters. Our mission is to make Contentstack indispensable for organizations to tell their stories and to connect with the people they care about through inspiring, modern experiences. We care deeply about our customers and the communities we serve. #OneTeamOneDream. Chalo, let’s go!
What Are We Looking For?
Contentstack is looking for a Principal Data Scientist. If you’re looking for an opportunity to join an innovative, fun, and fast-paced team where your contributions will have a meaningful impact, we’d love to hear from you!
Required skill set:
Technical Expertise:
- Machine Learning & AI: Advanced understanding of supervised, unsupervised, and reinforcement learning. Familiarity with deep learning frameworks. Current experience in GenAI, RAG and advanced RAG techniques like RAGA, Query expansion, KGRAG etc
- Data Science: Strong knowledge of statistical modeling, hypothesis testing, and data exploration techniques.
- Programming: Proficiency in Python, along with experience in MongoDB. Understanding of code optimization and clean coding practices is important.
- Mathematics & Statistics: Solid foundation in probability, linear algebra, calculus, and statistical inference.
- Model Deployment & MLOps: Experience in deploying machine learning models in production environments and familiarity with Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure).
Leadership and Management:
- Team Leadership: Experience in leading data science and ML teams, including mentoring junior scientists and fostering a collaborative environment.
- Project Management: Ability to manage projects, define milestones, ensure timelines are met, and communicate progress to stakeholders.
- Cross-functional Collaboration: Collaborating with software engineers and product managers to ensure alignment between our solutions and business goals.
- Strategic Thinking: Understanding the company’s overall business strategy and being able to align data science initiatives to support these objectives.
Communication Skills:
- Stakeholder Communication: Ability to translate complex ML/GenAI concepts into actionable insights for non-technical stakeholders.
- Technical Documentation: Experience in creating clear, thorough documentation for products/projects and experiments.
Research and Innovation:
- Staying Current: Keeping up with the latest research, tools, and trends in data science and machine learning, especially in the area of GenAI, RAG etc
- Problem Solving: Identifying and addressing complex data and business challenges, often through novel AI/ML approaches or hybrid solutions.
Experience : 8 to 12 Years
Location : Chennai (Hybrid)
What Do We Offer?
Interesting Work | We hire curious trendspotters and brave trendsetters. This is NOT your boring, routine, cushy, rest-and-vest corporate job. This is the “challenge yourself” role where you learn something new every day, never stop growing, and have fun while you’re doing it.
Tribe Vibe | We are more than colleagues, we are a tribe. We have a strict “no a**hole policy” and enforce it diligently. This means we spend time together - with spontaneous office happy hours, organized outings, and community volunteer opportunities. We are a diverse and distributed team, but we like to stay connected.
Bragging Rights | We are dreamers and dream makers. Our efforts pay off and we work with the most prestigious brands, from big-name retailers to airlines, to professional sports teams. Your contribution will make an impact with many of the most recognizable names in almost every industry including AirFrance KLM, ASICS, Burberry, Mattel, Mitsubishi, Walmart, and many more!
One Team One Dream | This is one of our values, and it shows. We don’t believe in artificial hierarchies. If you’re part of the tribe, you have an opportunity to contribute. Your voice will be heard and you will also receive regular updates about the business and its performance. Which, btw, is through the roof, so it’s a great time to be joining…
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