Data Scientist

• Company Schlumberger
• No. of Openings 10+
• Salary Not Disclosed
• Work Type on-site

Job Description :

Responsibilities:

In-depth Analysis, PCA

● Gather business requirements and then translate into analytics objectives and analysis plan that you and the team can begin working towards

● Analyse complex business issues and effectively communicate meaningful insights based on data trends / patterns found in data

● Build clean, concise and digestible visualizations and dashboards for the team and/or client to use and gain insight from

● Conduct in-depth analysis and post-campaign analysis to evaluate ESPs performance & ROI, and provide recommendations for improvement

● Deliver insights and recommendations, via summary or presentations (slides), to internal teams in a client-ready state Machine Learning & other POC

● Build machine learning models such as clustering for member segmentation and predictive models to uncover opportunities for maximizing customer wallet share (e.g., upsell/cross-sell/retention)

● Develop and implement new analytical methodologies and techniques for clients

● Continue to develop and build-out the best practices for analytics and share learnings with peers

● Contribute to the evolution and internal innovation of our Analytics and Data Science capabilities, toolsets, and knowledgebase Team ambassador

● Being able to work against tight deadlines, without compromising quality of the output

● Mentoring and providing support to the more junior members of the team via training sessions, shadowing, code sharing, analysis scoping & planning

● Translate Analytics findings into actionable insights and recommendations for the internal teams to fully integrate DS into the overall Kognitiv packages served to clients