Tech Mahindra - Data Science Role - COE

Job Description :

- Works as a senior member in various areas of analytics e.g. IoT/Connected Device/Sensor data analysis or supply Chain or marketing & customer analytics or unstructured data area e.g. NLP, Speech or Computer vision

- Led multiple data science projects across various industry sectors in multiple skills set-up and with multiple geography involved

- Led the initiatives and solution offering creations in the data science areas

- Works in specific clients and sectors for growing the data science services

- Conducts analytics assessment workshop in client requirement gathering and defining an analytics/AI roadmap.

- Works to design and develop analytical/ data mining/ machine learning/deep learning models as part of data science solutions

- Gather, evaluate and document business requirements, translate to data science solution definition, and ability to implement analytics as part of a technology solution

- Ability to design and build an end-to-end prototype data science solution to a business problem in any specific sector/ function, more specific to any manufacturing and asset intensive industry domains

- Ability to support and guide end-to-end model lifecycle management

- Create model documentation as per client/ regulatory standards

- Working experience in various AI powered model implementation with NLP, Deep Learning algorithms

- Develop Models using open source packages e.g. python and R

- Experiences in unstructured text data analysis; language, speech, image and video data analysis across multiple industries e.g. manufacturing, retail, etc.

- Gather, evaluate & document business requirements related to analytics, translate to analytics solution definition & ability to implement using Python

- Manage & mentors team consisting of various skills ranging

- Data extraction from Raw files using Python Anaconda or built in for POC

- Data pulling or creating from different sources such as HBase, Hive, Impala etc.

- Responsible for analyzing data from multiple data sources (DBs, flat files, etc.), and building predictive models using Python.

- Scripting with Python and cron jobs to schedule the run (Batch or Real time)

- Different models and their performances in Real time and Batch developed using Python (Pandas)/MLib/PySpark and opting the better solution depending on the cases

- Validate the models - statistically as well as from business perspective in discussions with business stakeholders

- Ability to support and guide model deployment and model lifecycle management

- Create model documentation as per client/ regulatory standards

Competencies Required :

- Degree in a quantitative field (Math, Statistics, Economics, Operations Research, Computer Science, and/ or Engineering, MBA).

- Experience and skilled Python (incl. PySpark, Spark, MLib)

- Hands-on experience in analytical techniques including sampling, clustering, decision trees, SVM, Random Forest, regressions, deep learning etc.

- Understanding of technology platforms and how statistical software integrates with other technologies

- Experience with working on large data sets and developing scalable algorithms

- Experience in leading multiple analytics/ data science projects - both in terms of delivery as well as competency.

- Experience in growing data science services in specific clients or sectors

- Experience in conducting data science workshops, publishing whitepaper/PoV

- Excellent presentation and communication skills

- Strong analytical and problem-solving skills

Desired Skills :

- Experience ranges 10 years

- Knowledge of where analytics fits in to an end-to-end business solution.

- Ability to work with business and technology teams to build and deploy an analytical solution as per client needs.

- Ability to lead a multi-location team working on multiple analytical/ data science projects.

- Ability to multi-task, solve problems and think strategically.

- Data science growth mind-set and initiative taking for emerging areas

- Strong communication and collaboration skills.

- Travel to various India and Onshore offices for client s requirements.

- Hands on experience in Python, or R, SAS. Very good working Knowledge on Python based libraries e.g. Keras & Tensor flow

- Knowledge in Scala, Hive, Hbase, Impala, Kafka and Flume is a plus

- Knowledge in Data exploration using OpenCV, NumPy, Matplotlib, SciPy and Pandas

- Working with Google cloud, Azure cloud, AWS, Cloudera/Horton Works