Senior Manager -Data Science, Machine Learning and GenAI Technical Leader

Role Overview: You will be responsible for engaging with business and technical stakeholders, understanding complex problem statements, and proposing value-driven Data Science & ML solutions. Your role will involve providing functional & technical leadership in developing a data science roadmap, guiding the team with end-to-end delivery of advanced analytical solutions, and focusing on process standardization and best practices. Additionally, you will proactively reach out to a wide variety of stakeholders to increase awareness of Data Science, ML, and GenAI capabilities, as well as identify business value-driven opportunities. Key Responsibilities: - Analyze market and industry trends in technology to identify opportunities for best solutions - Utilize strong analytical skills to gather information from various sources and identify fundamental patterns/trends in data - Conduct research, design statistical studies, and develop solutions - Develop Story Telling dashboards on analytics to aid business decision-making - Implement deep learning models for structured and unstructured data sets - Perform Time Series Analysis and Forecast using techniques such as ARIMA, Exponential Smoothing, VAR, etc. - Implement GenAI solutions using Industry standard RAG models and frameworks - Develop capabilities in Text Analytics ranging from Basic to Advanced, including Topic Modelling and NLP - Utilize AWS suite of Data Science and ML tools - Develop predictive models using Machine Learning algorithms such as SVM, Random Forest, Neural Network, Decision Tree, Logistic Regression, K-mean Clustering, Catboost, etc. - Experience with other cloud platforms like GCP and Azure - Understand Data Platforms and Data Engineering - Exposure to ChatBot solutions and Automation technologies Qualifications Required: - 7 years of IT-related work experience with a Bachelors degree, or 9 years of IT-related work experience without a Bachelors degree - At least 4 years in a leadership role in projects/programs (Note: The additional details of the company were not present in the provided job description) Role Overview: You will be responsible for engaging with business and technical stakeholders, understanding complex problem statements, and proposing value-driven Data Science & ML solutions. Your role will involve providing functional & technical leadership in developing a data science roadmap, guiding the team with end-to-end delivery of advanced analytical solutions, and focusing on process standardization and best practices. Additionally, you will proactively reach out to a wide variety of stakeholders to increase awareness of Data Science, ML, and GenAI capabilities, as well as identify business value-driven opportunities. Key Responsibilities: - Analyze market and industry trends in technology to identify opportunities for best solutions - Utilize strong analytical skills to gather information from various sources and identify fundamental patterns/trends in data - Conduct research, design statistical studies, and develop solutions - Develop Story Telling dashboards on analytics to aid business decision-making - Implement deep learning models for structured and unstructured data sets - Perform Time Series Analysis and Forecast using techniques such as ARIMA, Exponential Smoothing, VAR, etc. - Implement GenAI solutions using Industry standard RAG models and frameworks - Develop capabilities in Text Analytics ranging from Basic to Advanced, including Topic Modelling and NLP - Utilize AWS suite of Data Science and ML tools - Develop predictive models using Machine Learning algorithms such as SVM, Random Forest, Neural Network, Decision Tree, Logistic Regression, K-mean Clustering, Catboost, etc. - Experience with other cloud platforms like GCP and Azure - Understand Data Platforms and Data Engineering - Exposure to ChatBot solutions and Automation technologies Qualifications Required: - 7 years of IT-related work experience with a Bachelors degree, or 9 years of IT-related work experience without a Bachelors degree - At least 4 years in a leadership role in projects/programs (Note: The additional details of the company were not present in the provided job description)