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Business Analyst - Data Scientist @ Genpact India

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 Business Analyst - Data Scientist

Job Description

* With a startup spirit and 90,000+ curious and courageous minds, we have the expertise to go deep with the world s biggest brands and we have fun doing it. Now, we re calling all you rule-breakers and risk-takers who see the world differently, and are bold enough to reinvent it. Come, transform with us. Transformation happens here. Come, be a part of our exciting journeyAre you the one we are looking for Inviting applications for the role of BA, Data Scientist The position is based out of Bangalore, India and the focus of the role is to have enterprise level experience for Data Model Migration (legacy modernization) and being able to setup the new modeling architecture and help develop an efficient & streamlined process for ETL/WB, model development, validation, scoring, monitoring, etc and mentor the team as well. Key Responsibilities:
  • Deploying analytics solutions and enable tracking of business outcomes.
  • Responsible for Model Migration.
  • Project Management, Mentoring Junior members in the team and Client Interaction.
  • Ensuring Quality through compliance to framework, architecture and coding standards.
  • Selecting features, building and optimizing classifiers using machine learning techniques.
  • Prior Experience with Model migration from legacy to Modern setups (e.g. SAS model to Python / PySpark scripts)
  • Experience with Hadoop, Spark
  • Experience with Cloud based services a plus Google Cloud, AWS, Azure services used for Data storage and Data ingestion/ transformation like S3, ADF, Glue etc.
  • Predictive Analytics Hands-on experience in AI and Machine Learning
  • Good applied statistics skills, such as distributions, statistical testing, regression etc.
  • Building and implementing models, algorithms and simulations and executing the same using a variety of Tools
  • Very good scripting and programming skills necessary to build and efficient and streamlined process/environment
  • Experience with implementing analytical models
  • Hands on experience in
  • Code Versioning Tool - GitHub
  • Experience in relational and NoSQL Databases
  • Knowledge on Agile methodology
QualificationsMinimum qualifications
  • B.E. in Computer Science, Information systems, or Computer engineering, Systems Engineering or M.S. in Statistics
  • Relevant work experience in Data Science/advanced programming and in Data Engineering Practice and Platforms
  • Mathematics and Statistical Background
  • High level of intellectual curiosity about the use of data engineering and Analytics
  • Extensive Experience with Analytics products and solutions
Preferred qualifications
  • Passion for technology and a keen learner to stay abreast on what s latest
  • Ability to encourage and inspire change in technology application
  • Ability to work in varied LOBs and with multiple partners
  • Conflict management and negotiation skills
  • Skill gap identification and development of our global teams
  • Excellent verbal and written communication skills
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. For more information, visit www.genpact.com. Follow us on Twitter, Facebook, LinkedIn, and YouTube.,

Employement Category:

Employement Type: Full time
Industry: IT - Software
Role Category: Statistics / Analytics
Functional Area: Not Applicable
Role/Responsibilies: Business Analyst - Data Scientist

Contact Details:

Company: Genpact India
Location(s): Bengaluru

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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 ...