Principal Data Scientist
symplr
Principal Data Scientist
- ID
- 2026-2123
- # of Openings
- 1
- Category
- Engineering
Overview
We are seeking a Principal Data Scientist with a strong research background and deep expertise in advanced machine learning and statistical modeling. This role requires the ability to translate theoretical research into scalable, real-world solutions while providing technical leadership across data science initiatives. You will lead complex modeling efforts, influence data science strategy, and mentor senior talent.
Duties & Responsibilities
Advanced Modeling & Research
- Design and lead development of advanced ML and statistical models for complex business problems.
- Apply techniques such as Bayesian methods, causal inference, probabilistic modeling, optimization, deep learning, and time-series analysis.
- Establish rigorous standards for experimentation, validation, and model evaluation.
- Collaborate with Engineering and MLOps teams to productionize models.
Technical & Strategic Leadership
- Serve as a Principal-level authority on data science methodologies and best practices.
- Drive long-term data science and AI strategy and influence architectural decisions.
- Review and guide modeling approaches for high-impact initiatives.
Cross-Functional Collaboration
- Partner with Product, Engineering, and Business teams to frame ambiguous problems into data-driven solutions.
- Communicate complex analytical findings to senior leadership and non-technical stakeholders.
Mentorship & Talent Development
- Mentor senior and staff-level data scientists and guide research excellence.
- Participate in hiring, technical evaluations, and peer reviews.
Required Qualifications
- PhD (Preferred) in Computer Science, Statistics, Mathematics, Physics, Economics, or related field
- BE / BTech or equivalent in Engineering, Computer Science, Mathematics, or a related quantitative discipline.
- 15 to 18+ years of experience in applied data science or research-driven roles.
- Strong foundation in statistics, probability, and machine learning theory.
- Expert proficiency in Python and data science libraries (NumPy, Pandas, Scikit-learn).
- Experience with deep learning frameworks (PyTorch, TensorFlow).
- Proven experience with experimental design, A/B testing, and causal inference.
Skills Required
referred / Nice-to-Have Skills
- Publications in top-tier ML or data science conferences/journals.
- Experience with large-scale or distributed data systems (e.g., Spark).
- Domain expertise in NLP, recommender systems, computer vision, econometrics, or optimization.
- Exposure to GenAI / LLMs, including fine-tuning and evaluation.
- Experience working with production ML platforms and MLOps teams.
About symplr:
As a leader in healthcare operations solutions, we empower healthcare organizations to navigate the complexities of integrating critical business operations. Our customers are at the heart of everything we do, and they rely on our mission-critical systems to drive better operations and better outcomes.
We are a remote-first company with employees working across the United States, India, and the Netherlands. Guided by values, we focus on teamwork, championing our customers, being rooted in action and outcomes, overcoming challenges, and leading through equality and integrity. Read more about symplr's culture and values at symplr.com/careers.
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About symplr:
As a leader in healthcare operations solutions, we empower healthcare organizations to navigate the complexities of integrating critical business operations. Our customers are at the heart of everything we do, and they rely on our mission-critical systems to drive better operations and better outcomes.
We are a remote-first company with employees working across the United States, India, and the Netherlands. Guided by values, we focus on teamwork, championing our customers, being rooted in action and outcomes, overcoming challenges, and leading through equality and integrity. Read more about symplr's culture and values at symplr.com/careers.
Perks & Benefits:
- Sodexo Meal Coupon
- Internet Reimbursement
- Mobile Reimbursement
- Gym Reimbursement
- Health Insurance - Personal, Term Life Policy, Depends Cover, Dental Cover, OPD Cover & etc
- Transport Facility - Subsidized Rate
Working at symplr means working in the unlimited growth market of healthcare technology. Our multi-year contracts with clients bring recurring revenue that creates a stable financial situation. This enables us to provide employees a competitive salary, with additional benefits like insurance, lunch coupons, and reimbursement for mobile and broadband subscription and the gym.
symplr provides employees with opportunities to grow professionally through various activities including:
- Participation in new projects
- Internal weekly learning sessions with colleagues
- External learning opportunities
- Access to Udemy to grow your skillset
- Cross-departmental collaboration
- Activities with international colleagues
- Pursuit of OKRs specific to your role in the organization
- A buddy program for new employees
Your manager will be your coach, assisting you in maximizing your current skills and cultivating new ones as you grow on your career path at symplr. You’ll also have the opportunity to present your work achievements to the team and be awarded for milestone achievements.
You’ll have regular time for fun and educational events, both digital and in-person at our Bangalore office. For example, feel free to show your pool table skills with your teammates, or take some time to relax in a massage chair.
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