Senior Data Scientist

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Job Summar

yWe are seeking a highly skilled Senior Data Scientist with 4–6 years of hands-on experience in data science and applied machine learning. The ideal candidate will possess a strong foundation in traditional statistics, time series modeling, natural language processing (NLP), and simulation techniques, with proficiency in PyTorch. Experience or interest in emerging areas like agentic AI is a strong plus

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You’ll work closely with cross-functional teams including Product, Engineering, and Business stakeholders to build robust, scalable, and interpretable models that drive key decisions and power intelligent system

s.Key Responsibiliti

es•Design, develop, and deploy statistical and machine learning models for diverse use cases including forecasting, NLP, and behavioral simulatio

n.•Apply advanced techniques in time series forecasting, probabilistic modeling, and simulation for real-world business problem

s.•Build and fine-tune NLP models for information extraction, classification, and summarization tasks using libraries like spaCy, HuggingFace, or PyTorc

h.•Collaborate with data engineers to implement and scale models into production pipeline

s.•Translate complex analytical solutions into actionable insights for business team

s.•Conduct code and model reviews, provide mentorship to junior data scientists, and contribute to team-wide knowledge sharin

g.Required Qualificati

ons•Strong grounding in statistics, hypothesis testing, and mathematical modeli

ng.•Proficiency in time series analysis, forecasting methods (e.g., ARIMA, Prophet, LST

M).•Solid experience with natural language processing techniques and too

ls.•Proficient in Python, with deep experience using PyTorch for model developme

nt.•Experience with simulation techniques (e.g., Monte Carlo, agent-based model

s).•Strong understanding of data structures, algorithms, and model evaluation techniqu

es.•Excellent communication skills, with the ability to clearly present complex concepts to non-technical audienc

es.Good to

Have•Familiarity with cloud platforms (AWS/GCP/Azure), containerization (Docker), and MLOps tools (MLflow, Kubefl

ow).•Experience working in domains such as finance, insur

ance•Exposure to or research experience with Agentic AI, LLM ag