Data Scientist
AI Summary
Design, develop, deploy, and optimize production-ready machine learning solutions, including NLP and deep learning models, for business use cases. Analyze complex datasets, monitor and improve deployed models, communicate findings to stakeholders, and mentor junior data scientists.
A bachelor's or master's degree in a relevant field and 4–6 years of experience in data science, machine learning, applied AI, or advanced analytics are required. Candidates should have strong foundations in machine learning, statistics, probability, and optimization, along with Python or Scala experience, model evaluation and experimentation skills, and strong analytical and communication abilities.
Job Details
Key Skills
We are looking for passionate and outcome-driven Data Scientists who enjoy solving complex business problems using Artificial Intelligence and Machine Learning. In this role, you will work on designing, developing, and deploying scalable AI/ML solutions that drive real business impact.
As a Senior Data Scientist, you will collaborate with engineering, product, and business teams to build production-ready machine learning models across use cases such as NLP, intelligent automation, anomaly detection, predictive analytics, and decision support systems.
Key Responsibilities
- Design, develop, and deploy end-to-end machine learning solutions.
- Build and optimize NLP and deep learning models for production use.
- Analyse large and complex structured and unstructured datasets to generate actionable insights.
- Translate business problems into scalable AI/ML solutions.
- Partner with engineering teams to deploy, monitor, and continuously improve ML models.
- Conduct model experimentation, hyper parameter tuning, and performance evaluation.
- Implement model monitoring, retraining strategies, and performance optimization.
- Present technical findings and business insights to both technical and non-technical stakeholders.
- Mentor junior data scientists and contribute to best practices across the team.
Requirements
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Statistics, Mathematics, Engineering, or a related field.
- 4–6 years of hands-on experience in Data Science, Machine Learning, Applied AI, or Advanced Analytics.
- Strong understanding of Machine Learning algorithms, Statistics, Probability, and Optimization techniques.
- Solid experience with Python (preferred) or Scala.
- Experience with model evaluation techniques, experimentation, and A/B testing.
- Strong problem-solving and analytical skills.
- Excellent communication and stakeholder management abilities.
Preferred Skills
- Experience with Natural Language Processing (NLP), Large Language Models (LLMs), or Generative AI.
- Hands-on experience with deep learning frameworks such as TensorFlow or PyTorch.
- Knowledge of text mining, embeddings, vector databases, and transformer-based models.
- Experience deploying ML models in cloud or production environments.
- Familiarity with MLOps, model monitoring, versioning, and CI/CD pipelines.
- Understanding of model explainability and interpretability techniques.
About Trulogik Inc.
Trulogik is building the intelligence layer that will modernize U.S. health insurance. Healthcare operations move billions of dollars every day, yet there is a lot of burden of legacy technology. We are replacing that with domain-tuned AI that understands policy, clinical rules, contract awareness and payment logic, and turns them into autonomous systems. We are building foundational infrastructure for payer operations - claims, prior auth, pharmacy audits, provider and member workflows, and we need builders who want real responsibility. If you join Trulogik: • You will own outcomes, not tickets. • You will ship production systems used by major health plans. • You will work alongside sharp, curious engineers and domain experts who push each other. • You will learn fast - across AI, distributed systems, healthcare economics, and enterprise architecture. • You will have autonomy and accountability from day one. We operate with high trust, high standards, and high velocity. This is a place for people who want: • Technical depth • Real-world impact • Enterprise scale problems • Clear ownership • Competitive compensation and growth If you’re looking to build meaningful systems that matter and grow faster than you thought possible - let’s talk.