Senior Manager - Data Scientist

Job Description

Senior Manager-Data Scientist Enterprise 360 is Genpact s biggest ops transformation platform which drives radical transparency and insights to drive outcomes by enabling its users access data points in real-time, connecting them behind the scenes, and then adapting their operations at speed and with precision. Operating with collective intelligence from our huge client base, Enterprise 360 helps its users see their business from every angle to uncover opportunities for getting better. Enterprise 360 is a multi-dimensional, multi-faceted transformation program that will unlock tremendous value by targeting 3 key business outcomes (1) revenue acceleration (2) cost reduction and (3) insights to drive business outcomes. In this role, the Data Scientist would be responsible for the creation of new Data Science capabilities for the business by envisioning and executing strategies that will influence improvement of the business performance by enabling informed decision making of our clients. Responsibilities Hands-on work and delivery of Advanced analytics/ML/AI projects Interpret and analyze data problems. To deal with huge data, have a good understanding of data science and have worked on relational databases. Write computer programs and analyze large datasets to uncover answers to complex problems. Need to be comfortable writing code working in a variety of languages such as Python, R, Tableau/Power BI (Business Intelligence) & SQL Ensure data quality and integrity through best practices and compliance to framework, architecture, and coding standards. Responsible for data extraction, data analysis, data preparation, data modeling and data evaluation Generate Statistical Forecast for defined datasets Demonstrate good analytical and logical skills in analyzing complex data Articulate and present analysis/ideas to senior leadership Imbibe and improve on coding and debugging skills. Responsible to highlight a strong work ethic, with the ability to work well both independently and within the context of a larger collaborative environment. Managing timelines and quality of deliverables Decision making and problem solving associated with the projects Actively communicating with project managers and other stakeholdersQualifications we seek in you Minimum qualifications Graduate / Postgraduate preferably in Statistics, applied mathematics, Computer Science, or related discipline Project management experience Strong Knowledge of SQL/PLSQL and should have extensive working knowledge on handling large data sets. Strong Analytical, Problem solving & critical thinking skills Excellent knowledge of statistical techniques such and advanced machine learning algorithms such as Regression, Decision Tree, Random Forest, Clustering, Time Series, Ensemble Learning Good understanding of machine learning tools or Frameworks Good understanding in large scale distributed systems, cloud computing (AWS/Azure/GCP) Understanding architecture and design Strong project management skills, and ability to manage multiple priorities Strong quantitative abilities Preferred qualifications Excellent communication and executive presence to connect at CXO level Ability to assimilate learning from different external and internal interactions to then drive to action Strategic Thinker- Ability to create and defend point of view / frameworks Strong project management skills, and ability to manage multiple priorities Strong quantitative abilities. Strong analytical and problem-solving skills High tolerance to ambiguity Good team player, collaborative, high energy, decent work ethic Good understanding of financial metrics,

Keyskills :
financesalesltdmisaccountancybehind the scenestime seriesdata sciencedata qualitydata analysisdata modelingcost reductioncustomer focus