Senior Data Scientist
Role:
• Build strong working relationships with key business stakeholders in order to identify technical solutions to solve complex business problems.
• Define the data science roadmap and own end to end project development, delivery and implementation.
• Develop exploratory proof of concept machine learning models following an agile test and learn approach.
• Work closely with our data engineers to enhance our model deployment architecture.
• Be an expert in the field of data science to mentor and support junior team members.
• Continue to develop our data science capabilities through technical research, collaboration with subject matter experts (both internal and external) and new data source identification.
Key Skills:
• Experience in Machine Learning, supervised and unsupervised: - Forecasting,
Classification, Regression, Text Mining, NLP, Decision Trees, Adaptive Decision Algorithms,
Random Forest, Search Algorithms, Gradient algorithms etc
• Exposure to pre trained models and LLMs
• Exposure to Neural Networks/Deep Learning Algorithms
• Good understanding of basic statical techniques QC tools, ANOVA, Hypothesis, Chi Square tests
• Experience in creating simple web pages using HTML/ASP.Net
• Should have owned at least one ML model's complete life cycle in production.
• Should have analyzed the performance of this deployed model and deduced prescriptive ML / business actions
• Experience with programming languages like Python, analytical packages/libraries like Pandas, Scikit-learn, Seaborn, matplotlib, numpy etc)
• Identify and choose the right AI or cognitive computing technologies for solving problems and formulate AI recipes for development.
• Develop required machine learning models or prototype applications applying formulated AI recipes and verify the problem/solution fit.
• Using innovative ideas to collect, curate or synthesize data
• Familiarity with machine learning frameworks (like Keras or TensorFlow)
• Fair knowledge on any RDBMS (MySQL / Oracle /MS SQL)
• Benchmark, validate and test the solution for real-world environments
• Optimize the solution for accuracy and performance
• Experience developing with AI cloud platforms and services (Google cloud, AWS, Azure) is desirable
• Must be a self-starter with the ability to manage their own work.
• Demonstrated history of successful ML projects
Good To Have:
• Design and build production-grade Large Language Models (LLM) Apps, PoC, and MVP by leveraging advanced NLP, GenAI Tech and foundational models.
• Be an NLP and ML expert leveraging GenAI, and LLM to build high-quality AI Systems
• Have at least good understanding on any one of the domains- Healthcare, BFS, Insurance, Retail etc.
Experience:
8 to 10 years of relevant experience
Qualifications:
Bachelor's / master’s in Computer Science/ Data science with 3-5 year’s experience OR in Statistics/Mathematics with minimum 3-5 relevant years of experience