Senior Lead Data Scientist

Job description

Work Experience Required: 8 - 12 Years - Experience in programing (Python, R, SQL, NoSQL,Spark) with ML tools & Cloud Technology (AWS, Azure, GCP)  - Experience in Python libraries such as numpy, pandas, scikit-learn, tensor-flow, scapy, scrapy, BERT etc. - Good understanding in statistics, and ability to design statistical hypothesis testing to aid formal decision making. - Develops predictive models using Machine Learning algorithms (SVM, Random Forest, Neural Network, Decision Tree, Logistic Regression, K-mean Clustering, linear regression, PCA etc.) - Engaging with clients, understanding complex problem statements, and offering solutions in the domains of Retail, Pharma, Banking, Insurance, etc. - Contribute to internal product development initiatives related to data science. - Develop data science roadmap, and guide data scientist to meet their deliverables. - Handling end-to-end client AI & analytics programs. Your role will be a combination of hands-on contribution, technical team management, and client interaction. - Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights - Drive excellent project management required to deliver complex projects, including effort/time estimation. - Be proactive, with full ownership of the engagement. Build scalable client engagement level processes for faster turnaround & higher accuracy - Define Technology/ Strategy and Roadmap for client accounts, and guides implementation of that strategy within projects - Run regular project reviews and audits to ensure that projects are being executed within the guardrails agreed by all stakeholders - Manage the team-members, to ensure that the project plan is being adhered to over the course of the project - Manage the client stakeholders, and their expectations, with a regular cadence of weekly meetings and status updates. - Build a trusted advisor relationship with the IT management at clients and internal accounts leadership. - Build business case for technological investments to be made for future needs and to remain competitive - Ensure that billing and utilization of team members is maximized throughout the year

Desired Skills: - Good level of proficiency in a structured programming language, e.g. Python, R. - Experience designing data science solutions to business problems - Deep understanding of ML algorithms for common use cases in both structured and unstructured data ecosystems. - Comfortable with large scale data processing and distributed computing - Allocates workload among team members and by taking into consideration employee availability, skill set, and current workload when making assignments. - Providing required inputs to sales, and pre-sales activities - Excellent written and verbal communication skills

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