Job Description

Principal Data Scientist - R01551388

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Principal Data Scientist

Primary Skills

ML & GenAI Expertise

- LLMs (GPT, RAG), NLP, Deep Learning

MLOps & Deployment

- Model lifecycle management, CI/CD, monitoring

Data Engineering

- Scalable data pipelines, big data tools (Databricks/Spark)

Programming

- Python, SQL, TensorFlow/PyTorch

Leadership

- Team mentoring, AI strategy, stakeholder collaboration. Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio

Job requirements

Education

: Bachelor's or Master's Degree in Computer Science, IT, Engineering, or related fields.

Experience

: Overall 12+ years of experience, including

2+ years in delivering AI-powered products

. Minimum

2 years of dedicated Product Management experience

. At least

1 year of experience with GPT/LLM model development

(pre-processing, feature selection, hyper-parameter tuning).

Technical Expertise

: Hands-on experience with

Agentic AI

and

Graph RAG

solutions. Skilled in developing and training GPT/LLM models for applications such as chatbots, Q&A systems, and recommendation engines. Strong background in data analysis, pre-processing, feature engineering, and model selection to deliver accurate models efficiently. Continuous monitoring and iteration to improve model accuracy and performance based on feedback.

Collaboration & Leadership

: Work closely with cross-functional teams to define product requirements and develop GPT/LLM use cases. Define and align the vision for Data/AI use cases with senior leadership for medium- and long-term goals.

Soft Skills

: Strong analytical, strategic thinking, problem-solving, and project management skills. * Exceptional attention to detail, ability to innovate, and address challenges at both macro and micro levels.