We are currently looking to hire a Senior Data Scientist with strong analytical skills and a background in US Healthcare. The ideal candidate should have :

- A minimum of 5+ years of overall experience in Data science or related fields

- At least 3 years of hands-on experience in Machine Learning (ML) and Natural Language Processing (NLP)

- Candidates with proven expertise in healthcare data analytics and a solid understanding of healthcare systems in the US will be preferred

JOB RESPONSIBILITY :

Key Responsibilities :

- Demonstrate expertise in programming with a strong background in machine learning and data processing.

- Possess strong analytical skills to interpret complex healthcare datasets and derive actionable insights.

- Collaborate closely with AI/ML engineers, data scientists, and product teams to acquire and process data, debug issues, and enhance ML models.

- Develop and maintain enterprise-grade data pipelines to support state-of-the-art AI/ML models.

- Work with diverse data types including structured, semi-structured, and textual data.

- Communicate effectively and collaborate with cross-functional teams including engineering, product, and customer stakeholders.

- Operate independently with minimal guidance from product managers and architects, demonstrating strong decision-making capabilities.

- Embrace complex problems and deliver intelligence-driven solutions with a focus on innovation and scalability.

- Quickly understand product requirements and adapt to evolving business needs and technical environments.

Technical Responsibilities :

- Design and implement statistical and machine learning models (e.g., regression, classification, clustering) using frameworks such as scikit-learn, TensorFlow, and PyTorch.

- Build robust data preprocessing pipelines to handle missing values, outliers, feature scaling, and dimensionality reduction.

- Specialize in Large Language Model (LLM) development, including fine-tuning, prompt engineering, and embedding optimization using frameworks like Hugging Face Transformers.

- Develop and optimize LLM evaluation frameworks using metrics such as ROUGE, BLEU, and custom human-aligned evaluation techniques.

- Apply advanced statistical methods including hypothesis testing, confidence intervals, and experimental design to extract insights from complex datasets.

- Create NLP solutions for text classification, sentiment analysis, and topic modeling using both classical and deep learning approaches.

- Design and execute A/B testing strategies, including sample size determination, metric selection, and statistical analysis (e.g., t-tests, ANOVA).

- Implement comprehensive data visualization strategies using tools like Matplotlib, Seaborn, and Plotly to present insights effectively.

- Maintain detailed documentation of model architectures, experiments, and validation results using tools like MLflow or DVC.

- Research and apply LLM optimization techniques such as quantization, pruning, and knowledge distillation to improve efficiency.

- Stay up to date with the latest advancements in statistical learning, deep learning, and LLM research, with a focus on emerging architectures and training methodologies

QUALIFICATION :

- Bachelors or masters degree in computer science, Mathematics or Statistics, Computational linguistics, Engineering, or a related field. Ph.D. preferred.

EXPERIENCE :

- 5+ years of overall professional experience in data science, analytics, or related fields.

- 3+ years of hands-on experience working with large-scale structured and unstructured data to develop data-driven insights and solutions using Machine Learning (ML), Natural Language Processing (NLP), and Computer Vision.

- Proven 3+ years of experience with core technologies including Python (mandatory), SQL, Hugging Face, TensorFlow, Keras, PyTorch, and Apache Spark.

- 3+ years of experience in developing NLP models, with a strong focus on transformer-based architectures.

- 2+ years of experience implementing information retrieval systems at scale, including both keyword-based and semantic search using embeddings.

- Hands-on experience with cloud platforms such as Google Cloud Platform (GCP) and Amazon Web Services (AWS).

- Strong expertise in Large Language Models (LLMs) and Generative AI (GAI), including model development, fine-tuning, and optimization.

- Demonstrated ability to work independently with minimal supervision and exercise sound judgment in technical and business decision-making.

- In-depth experience with LLMs (both extractive and generative), including prompt engineering, fine-tuning, and familiarity with open-source ecosystems.

- Experience in prompt development and optimization for NLP applications.

- Strategic thinker with a blend of technical expertise and business acumen, capable of solving complex problems and influencing outcomes.

- Proficient in creating analytical reports, projections, models, and presentations to support business objectives.

- Excellent written and verbal communication skills, with strong stakeholder management capabilities.

- Prior experience in the healthcare industry, with an understanding of domain-specific data and regulatory considerations.

SKILLS AND COMPETENCIES :

- Must have : Machine Learning, LLM, NLP, Python, SQL, Hugging Face, TensorFlow & Keras.

- Good to have : PyTorch, Spark & any cloud exp.