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Group Head - Data Science

Group Head - Data Science

Hudson ManpowerMumbai
26 days ago
Job description

Key Responsibilities :

  • Design and implement predictive models to improve business outcomes such as power generation optimization, pricing strategies, cost reduction, and enhanced customer experiences.
  • Apply advanced statistical modeling, machine learning, probability theory, algorithms, data mining, and natural language processing techniques.
  • Utilize machine learning methods including but not limited to Clustering, Regression, Bayesian methods, Tree-based learners (Random Forest, XGBoost), SVM, Time Series Modeling, Dimensionality Reduction, Structural Equation Modeling (SEM), Generalized Linear Models (GLM / GLMM), Deep Learning, Neural Networks, Topic Modeling, Multivariate Statistics, K-NN, Na- ve Bayes, etc.
  • Work with deep learning architectures and methods for simulation, scenario analysis, constraint optimization, anomaly detection, semi-supervised and unsupervised learning.
  • Apply optimization techniques such as Linear Programming, Genetic Algorithms, Simulated Annealing, and Monte Carlo Simulation to solve complex problems.
  • Explore and implement emerging technologies like deep learning, NLP / NLG, image / video processing, recommender systems,

chatbots, and voice AI.

  • Lead the entire data science pipeline including problem scoping, data discovery, exploratory data analysis (EDA), modeling, evaluation, visualization, deployment, and continuous improvement.
  • Collaborate with internal technical teams for seamless integration of AI / ML solutions into existing systems.
  • Develop reusable and scalable machine learning assets and accelerators following best practices.
  • Drive agile development processes (SCRUM) and apply MLOps principles for model deployment and lifecycle management.
  • Continuously research and analyze market and industry trends in AI / ML technologies, proactively proposing innovative solutions.
  • Handle coding, testing, debugging, and documentation of AI / ML applications and evaluate cloud technology options for analytics workloads.
  • Lead future migration of analytics applications and pipelines to cloud platforms.

    • Qualifications & Skills :

  • Bachelors degree in Engineering (Computer Science, Electronics, IT), MCA, or MCS.
  • Masters degree in Statistics, Economics, Business Analytics, or related quantitative discipline.
  • 8-15 years of proven experience in data science, machine learning, and predictive analytics.
  • Expertise in a wide range of machine learning algorithms and statistical methods.
  • Hands-on experience with deep learning frameworks and architectures.
  • Strong programming skills in Python, R, or similar languages; proficiency in SQL.
  • Experience with cloud platforms (AWS, Azure, GCP) and modern data engineering tools is preferred.
  • Solid understanding of MLOps, CI / CD, and Agile SCRUM methodologies.
  • Excellent problem-solving skills and ability to break down complex business problems into actionable data science solutions.
  • Strong communication skills with the ability to translate complex technical concepts for business stakeholders.

    • (ref : hirist.tech)

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    Data Science • Mumbai