General Summary:
Experience in engaging with business and technical stakeholders, understanding complex problem statements, and proposing value-driven Data Science & ML solutions
Functional & technical leadership in developing data science roadmap and guiding the team with end-to-end delivery (design, development, maintenance, and optimization) of advanced analytical solutions with focus on process standardization and best practices
Proactive in reaching out to wide variety of stakeholders for increasing the awareness of Data Science, ML and GenAI capabilities and identifying business value driven opportunities
Analyze the market and industry trends in the technology and proactively look for opportunities in bringing the best solutions
'Strong analytical skills with the ability to gather information from several sources and identify fundamental patterns/trends in data
Conduct research, design statistical studies and develop solutions
Develop Story Telling dashboards on analytics to assist business in decision making
Implement deep learning models for structured and unstructured data sets
Perform Time Series Analysis and Forecast (ARIMA, Exponential Smoothing, VAR etc.)
Implementation experience with identifying, prototyping, developing and delivering GenAI solutions using Industry standard RAG models and frameworks
Ability to develop capabilities in Text Analytics ranging from Basic to Advanced (Topic Modelling, NLP)
Experience with AWS suite of Data Science and ML tools
Develops predictive models using Machine Learning algorithms (SVM, Random Forest, Neural Network, Decision Tree, Logistic Regression, K-mean Clustering, Catboost etc.)
'Experience with other cloud platforms (GCP and Azure)
Understanding of Data Platforms and Data Engineering
Exposure to ChatBot solutions and Automation technologies
Minimum Qualifications:
• 7+ years of IT-related work experience with a Bachelor's degree.
OR
9+ years of IT-related work experience without a Bachelor’s degree.
• 4+ years in a leadership role in projects/programs.