Your browser does not support javascript! Please enable it, otherwise web will not work for you.

Manager - Data Scientist @ Genpact India

Home > Software / General IT

 Manager - 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.

We are Genpact. Transformation happens here. Come, be a part of our exciting journey

Inviting applications for the role of a Manager, Machine Learning Expert -Data Science and Insights.

The candidate should be

MS in Mathematics, Computer Science, Information systems, or Computer engineering, Systems

Engineering with relevant experience

Or Computational Science or Applied Engineering with industry experience in Applied

Machine Learning / Predictive Analytics.

Exposure to Machine Learning & Quantitative Methods in Marketing / Consumer Behavior is a

must. Full cycle Real-world Analytics project experience is highly desirable: from creating a

Business use case, PA assessment/roadmap, Technology & Analytic Solutioning,

Implementation and Change Management

Responsibilities

There are 2 areas that this role will focus on in order of importance:

1. Project Lead/Delivery - Lead the project, set expectations with the client/stakeholders

and successful execution of the project

[Type text]

Machine Learning Expert Data Science and Insights

2. Solutioning - Conceptualize and develop relevant Predictive Analytic solutions for our

Analytic Customers. Envisioning opportunistic areas with our clients by demonstrating

relevant and credible Predictive Analytics solutions and paradigms. The role may entail

carrying out high level assessment of customer Analytics readiness and creating the

associated analytic benchmarking which may ultimately converge into a client specific

Predictive Analytics roadmap

Key Roles and Responsibilities

The Manager/Senior Manager ML is expected to play a pivotal bridging role between statistical,

technology specialists, AND the business /functional resources. At a broad level, the

Manager/Senior Manager shall leverage his/her solutioning expertise to translate the

customer s business need into a techno-analytic problem and appropriately work with the

statistical & technology specialist to bring large scale analytic solutions to fruition.

The key responsibilities of the Manager/Senior Manager ML are:

Participate in SME reviews of Predictive Analytics opportunities/ engagements

Project Delivery - This would entail successful delivery of projects involving data Pre[1]processing, Model Training and Evaluation, Parameter Tuning

Manage Stakeholder/Customer Expectations

Project Blue Printing and Project Documentation

Creating Project Plan

Jump-start Machine Learning projects with customer with focus on providing disruptive

insights in reasonable timeframes.

Actively collaborate with competency leaders in Big Data, OR, BI areas to stich big ticket

solutions with end-to-end span.

Required and Preferred Skills

Specific Competencies Essential

Technology

Exposure to Statistical Toolkits such as R, Weka, S-Plus, Matlab, SAS

Very good Python/R programming skills. Java programming skills a plus

Direct involvement in working with large volumes of data and building, deploying and

measuring predictive analytics models (i.e. SVM, decision tree, clustering, logistic

regression, linear and non-linear regression)

Deep learning frameworks such as TensorFlow, Keras, Torch, Theano

[Type text]

Machine Learning Expert Data Science and Insights

Technology

Understanding of GraphDB and tools such as Neo4j etc.

Understanding of NLP, NLU and Machine learning/Deep learning methods

SQL/NoSQL, MS Access, databases

UI development paradigms that would enable Text Mining Insights Visualization, e.g.,

Adobe Flex Builder, HTML5, CSS3

Linux, GPU Experience

Spark, Scala for distributed computing

Methodology

Previous experience with Big Data analytics implementations, using either Vanilla

Hadoop or Cloudera/IBM BigInsights

Ability to Prioritize, Consultative mindset & Time management skills

Understanding/experience with the Google Cloud Platform/AWS/Azure and other Big

Data solutions such as Cloudera is preferred

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: General / Other Software
Functional Area: Not Applicable
Role/Responsibilies: Manager - Data Scientist

Contact Details:

Company: Genpact India
Location(s): Bengaluru

+ View Contactajax loader


 Job seems aged, it may have been expired!
 Fraud Alert to job seekers!

₹ 2.0 - 7 Lakh/Yr

Similar positions

Senior Specialist - Cloud & Infra

  • Bajaj Capital
  • 7 to 11 Yrs
  • Hyderabad
  • 2 days ago
₹ Not Disclosed

Senior Specialist - Package Implementation

  • Bajaj Capital
  • 3 to 14 Yrs
  • Bengaluru
  • 2 days ago
₹ Not Disclosed

Specialist - Software Engineering

  • Bajaj Capital
  • 11 to 15 Yrs
  • Bengaluru
  • 5 days ago
₹ Not Disclosed

Specialist - Software Engineering

  • Bajaj Capital
  • 7 to 11 Yrs
  • Bengaluru
  • 5 days ago
₹ Not Disclosed

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 ...