Principal Data Scientist

CareStack™ - Dental Practice Management; Thiruvananthapuram; On-site; INR 4,000,000 - 8,000,000; Full time

Job summary

CareStack is seeking a Principal Data Scientist in Thiruvananthapuram to advance our analytics platform from reporting to predictive capabilities. You will define problems, collaborate across Data Science, Product and R&D, and build models that inform product decisions.

You will accelerate our R&D and learning loop, mentor data scientists, and guide MLOps practices to ensure robust, scalable production models in a SaaS environment.

Qualifications

• 10+ years in Data Science, ML, or Predictive Analytics.
• Strong proficiency in Python and SQL.
• Experience with large-scale product datasets.
• Experience working in a SaaS/product environment.
• Ability to mentor and lead Data Scientists.
• Familiar with ML lifecycle management and model monitoring.

Responsibilities

• Develop ML and predictive modelling solutions from product data.
• Apply time-series analysis, clustering, causal inference, statistical modelling and machine learning.
• Move analytics capabilities from reporting to prediction, recommendations, alerts and decision support.
• Collaborate with Product and Engineering to deploy models to production.
• Lead experiments and establish a stronger data-driven R&D culture.
• Provide technical leadership and mentoring to Data Scientists.
• Define and guide MLops adoption for robust, scalable models in production.
• Design rigorous experimentation frameworks (A/B tests).

Skills

Data science

Predictive analytics

Python

SQL

SaaS/product

ML lifecycle management

Mentoring/leadership

Tools

MLflow

SageMaker

Job description

More about CareStack:

• Rated by independent B2B software reviews and research analysts as the most modern, innovative and customer experience focused company in the space with the fastest growth in the segment.
• Important strategic go to market partnerships with dental industry leaders like Delta Dental, Darby Dental, and several others.
• Venture backed with over USD 60 Million raised till date from leading financial and strategic investors.
• Headquartered in Orlando, FL with offices in Minnesota, and Trivandrum.

The Opportunity:

We have a rich and continuously growing pool of product data, and our opportunity is to turn that data into predictive intelligence that can materially improve our customers’ business outcomes.

Our Analytics platform today helps customers understand their business through reporting and visualization. We are now looking to move beyond “what happened” to “what will happen, why, and what should we do about it.”

As a Principal Data Scientist, you will help define and build this capability. You will work across Data Science, Product and R&D to identify high-value problems, formulate hypotheses, experiment with data, build predictive models and turn those learnings into product capabilities.

A key part of the role is to accelerate our R&D and learning loop — making it faster and more rigorous to move from data → hypothesis → experiment → learning → product.

What You Will Drive:

• Develop ML and predictive modelling solutions that uncover actionable insights and predictive outcomes from our product data.
• Solve complex problems using techniques such as time-series analysis, clustering, causal inference, statistical modelling and machine learning.
• Identify opportunities to move our Analytics capabilities beyond reporting towards prediction, recommendations, intelligent alerts and decision support.
• Work closely with Product and Engineering to take promising ideas from experimentation to production-grade product capabilities.
• Challenge assumptions, design experiments and establish a stronger data-driven R&D and learning culture.
• Provide technical leadership and mentor Data Scientists, raising the quality and sophistication of our modelling and analytical practices.
• Define and guide the adoption of MLOps best practices to ensure models are robust, scalable, and maintainable in a high-traffic production environment.
• Design and lead rigorous experimentation frameworks (A/B testing) to validate the impact of predictive features before and after deployment.

What we are looking for:

• 10+ years in Data Science, ML, or Predictive Analytics, with a demonstrated history of hands-on technical contributions and product delivery.
• Deep expertise in ML, predictive modelling and statistical/analytical methods.
• Strong hands-on experience with large-scale product or enterprise datasets.
• Ability to leverage data platforms and modern data stacks to build predictive capabilities.
• Proven experience taking data science problems from hypothesis and experimentation through modelling and production.
• Strong proficiency in Python and SQL.
• Experience working closely with Product and Engineering in a SaaS/product environment.
• Strong experience implementing/building ML lifecycle management and model monitoring loops for product capabilities, rather than just tool familiarity.
• Strong familiarity with ML lifecycle management and model monitoring tools (e.g., MLflow, SageMaker) and strategies for continuous model training and monitoring.
• A proven track record of partnering with product leadership to quantify the business ROI of data science initiatives.
• Strong technical mentoring capability and the ability to influence beyond your immediate team.

This Role Is For You If…

• You enjoy finding the signal in large, complex datasets, are deeply curious about what the data can tell us that we don't yet know, and want to turn those discoveries into capabilities that customers can actually use.
• This is a Data Science leadership role - not a Data Architecture role. The core of the role is ML, predictive intelligence and using data to accelerate product learning and create measurable customer value.

Nice to Haves

Experience building ethical and transparent AI/ML systems, with a focus on data privacy and bias mitigation.

Note:

As part of our interview process, we conduct an initial shortlisting to identify candidates who closely match our requirements. While we strive to notify all applicants about their status, if you do not receive a response from us, please understand that your profile has not been shortlisted at this time.