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Senior Manager - Data Scientist

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 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 stakeholders

Qualifications 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

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Employement Category:

Employement Type: Full time
Industry: IT - Software
Role Category: General / Other Software
Functional Area: Not Applicable
Role/Responsibilies: Senior Manager - Data Scientist

Contact Details:

Company: Genpact India
Location(s): Noida, Gurugram

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Genpact India

Genpact (NYSE: G) is a global professional services firm focused on delivering digital transformation for our clients, putting digital and data to work to create competitive advantage. We do this by integrating lean principles, design thinking, analytics and digital technologies with our domain and ...