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Group Head - Data Science Job Opening In Mumbai – Now Hiring Hudson Manpower


Job description

<p><p><b>Key Responsibilities :</b><br/><br/></p><p>- Design and implement predictive models to improve business outcomes such as power generation optimization, pricing strategies, cost reduction, and enhanced customer experiences.<br/><br/></p><p>- Apply advanced statistical modeling, machine learning, probability theory, algorithms, data mining, and natural language processing techniques.<br/><br/></p><p>- 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.<br/><br/></p><p>- Work with deep learning architectures and methods for simulation, scenario analysis, constraint optimization, anomaly detection, semi-supervised and unsupervised learning.<br/><br/></p><p>- Apply optimization techniques such as Linear Programming, Genetic Algorithms, Simulated Annealing, and Monte Carlo Simulation to solve complex problems.<br/><br/></p><p>- Explore and implement emerging technologies like deep learning, NLP/NLG, image/video processing, recommender systems, </p><p>chatbots, and voice AI.<br/><br/></p><p>- Lead the entire data science pipeline including problem scoping, data discovery, exploratory data analysis (EDA), modeling, evaluation, visualization, deployment, and continuous improvement.<br/><br/></p><p>- Collaborate with internal technical teams for seamless integration of AI/ML solutions into existing systems.<br/><br/></p><p>- Develop reusable and scalable machine learning assets and accelerators following best practices.<br/><br/></p><p>- Drive agile development processes (SCRUM) and apply MLOps principles for model deployment and lifecycle management.<br/><br/></p><p>- Continuously research and analyze market and industry trends in AI/ML technologies, proactively proposing innovative solutions.<br/><br/></p><p>- Handle coding, testing, debugging, and documentation of AI/ML applications and evaluate cloud technology options for analytics workloads.<br/><br/></p><p>- Lead future migration of analytics applications and pipelines to cloud platforms.<br/><br/><b>Qualifications & Skills :</b></p><p><p><b><br/></b></p>- Bachelors degree in Engineering (Computer Science, Electronics, IT), MCA, or MCS.<br/><br/></p><p>- Masters degree in Statistics, Economics, Business Analytics, or related quantitative discipline.<br/><br/></p><p>- 8-15 years of proven experience in data science, machine learning, and predictive analytics.<br/><br/></p><p>- Expertise in a wide range of machine learning algorithms and statistical methods.<br/><br/></p><p>- Hands-on experience with deep learning frameworks and architectures.<br/><br/></p><p>- Strong programming skills in Python, R, or similar languages; proficiency in SQL.<br/><br/></p><p>- Experience with cloud platforms (AWS, Azure, GCP) and modern data engineering tools is preferred.<br/><br/></p><p>- Solid understanding of MLOps, CI/CD, and Agile SCRUM methodologies.<br/><br/></p><p>- Excellent problem-solving skills and ability to break down complex business problems into actionable data science solutions.<br/><br/></p><p>- Strong communication skills with the ability to translate complex technical concepts for business stakeholders.</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Mathematical Science Occupations


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Unlock Your Group Head Potential: Insight & Career Growth Guide


Real-time Group Head Jobs Trends (Graphical Representation)

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Are You Looking for Group Head Data Science Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Hudson Manpower adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

What Is the Average Salary Range for Group Head Data Science Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Mumbai. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Group Head Data Science?

Key qualifications for Group Head Data Science typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Group Head Data Science Job Success

Hudson Manpower interview tips for Group Head   Data Science

Here are some tips to help you prepare for and ace your Group Head Data Science job interview:

Before the Interview:

Research: Learn about the Hudson Manpower's mission, values, products, and the specific job requirements and get further information about

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Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

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Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

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Final Thought:

To prepare for your Group Head Data Science interview at Hudson Manpower, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Hudson Manpower's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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