Senior Lead Data Scientist

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

Note:

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