Senior Data Scientist

Senior Data Scientist Trulogik India (Hybrid)

Exp - 47 years | Applied ML | Production AI | Ownership + Impact

Job Location - Hyderabad / Bengaluru

Compensation- Best in the industry

About Trulogik

Trulogik is a fast growing product company focused on transforming operations for U.S. health insurance organizations. Our platforms help payers reduce costs, improve accuracy, and expand capabilities through automation, AI, and intelligent workflows. We work on problems that directly impact millions of members, and we take that responsibility seriously.

We are looking for go-getter Data Scientists, people who combine deep applied research thinking with the discipline to ship models that actually run in production.

If you like solving hard problems, owning outcomes, and seeing your work drive measurable results, read on!

Role Overview

As a Senior Data Scientist at Trulogik, you will design, build, and productionize AI and ML solutions that power real business workflows, from claims intelligence to automation, anomaly detection, NLP, and decision support.

You'll partner closely with engineering and product teams, move from idea experiment model production, and help shape our data science practices.

What you'll do

• Design, develop, and deploy end-to-end ML solutions for real-world business use cases
• Analyze large, noisy text corpora to extract semantic signal, intent, sentiment, and actionable insights
• Enhance and maintain existing deep learning and NLP pipelines, including tokenization, embeddings, inference optimization, and model versioning
• Translate ambiguous business requirements into rigorous NLP problem formulations, model architectures, and evaluation strategies
• Work with engineers to productionize models (scalability, monitoring, retraining)
• Run experiments, evaluate models, perform fine-tuning and hyperparameter optimization, and track drift in model and data
• Communicate results clearly to technical and non-technical stakeholders
• Mentor junior team members and raise the bar on data science quality

What you bring

• Bachelor's/Master's in CS, Engineering, Math, Statistics, or related field
• 47 years in Data Science / Applied ML / Analytics
• Strong foundations in:

1. machine learning and NLP concepts
2. statistics, linear algebra, optimization
3. experimentation, A/B testing, evaluation metrics

• Proficiency in Python (and/or Scala) for ML development
• Experience with fine-tuning models and experimenting with different approaches
• Nice to have

1. NLP, text mining, or deep learning experience
2. Model explainability & interpretability
3. Experience deploying models to production environments

What makes this role different - Grow faster at Trulogik

• Work with supersmart data scientists and seasoned tech leaders
• Do applied research that goes to production
• Earn a competitive salary and benefits - we reward impact
• Solve complex, meaningful problems that push your thinking
• Take ownership from day one - design, experiment, deploy, iterate

We especially value people who have worked in entrepreneurial environments - startups, product teams, innovation groups - and who thrive when things aren't perfectly defined, step up, and drive outcomes.

Who thrives here

You're likely a great fit if you:

• take accountability and like owning results end-to-end
• enjoy ambiguity and shaping solutions, not just receiving tickets
• care about rigor, but know when to ship and iterate
• love experimenting, learning, and improving systems continuously
• collaborate closely with engineering and product partners

Join Trulogik on an exciting journey to revolutionize healthcare with AI. The future of work is here, and it's at Trulogik.

If this role excites you, please send your application to [Confidential Information]

We're always looking for exceptional talent. Even if this role isn't a perfect fit today, applying ensures you'll be considered for future opportunities aligned with your skills and interests.

Trulogik is an Equal Employment Opportunity employer. Employment decisions are based on merit, qualifications, and business needs. We are committed to providing equal employment opportunities and a workplace free from discrimination or harassment, in compliance with applicable local and international laws.