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

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

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