Job
Description
JD for data science: We are seeking an experienced Data Scientist to join our growing analytics and AI team. This role will involve working closely with cross-functional teams to deliver actionable insights, build predictive models, and drive data-driven decision-making across the organization. The ideal candidate is someone who combines strong analytical skills with hands-on experience in statistical modeling, machine learning, and data engineering best practices. Key Responsibilities:  Understand business problems and translate them into data science solutions.  Build, validate, and deploy machine learning models for prediction, classification, clustering, etc.  Perform deep-dive exploratory data analysis and uncover hidden insights.  Work with large, complex datasets from multiple sources; perform data cleaning and preprocessing.  Design and run A/B tests and experiments to validate hypotheses.  Collaborate with data engineers, business analysts, and product managers to drive initiatives from ideation to production.  Present results and insights to non-technical stakeholders in a clear, concise manner.  Contribute to the development of reusable code libraries, templates, and documentation. Required Skills & Qualifications:  Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field.  3–7 years of hands-on experience in data science, machine learning, or applied statistics.  Proficiency in Python or R, and hands-on experience with libraries such as scikit- learn, pandas, numpy, XGBoost, TensorFlow/PyTorch.  Solid understanding of machine learning algorithms, statistical inference, and data mining techniques.  Strong SQL skills; experience working with large-scale databases (e.g., Snowflake, BigQuery, Redshift).  Experience with data visualization tools like Power BI, Tableau, or Plotly.  Working knowledge of cloud platforms like AWS, Azure, or GCP is preferred.  Familiarity with MLOps tools and model deployment best practices is a plus. Preferred Qualifications:  Exposure to time series analysis, NLP, or deep learning techniques.  Experience working in domains like healthcare, fintech, retail, or supply chain.  Understanding of version control (Git) and Agile development methodologies. Why Join Us:  Opportunity to work on impactful, real-world problems.  Be part of a high-performing and collaborative team.  Exposure to cutting-edge technologies in data and AI.  Career growth and continuous learning environment. Show more Show less
