Analytics India Magazine - Senior Associate - Data Scientist

You will be challenged to :

- Take charge and lead the efforts for data science life cycle for critical Industrial AI project implementations

- Explore very large time series data sets and discover key insights and patterns in collaboration with domain specialists

- Mentor a team of junior data scientists, machine learning engineers and data engineers and drive the planning, design, and implementation of data science experiment cycles

- Be the Voice of your Team

- Effectively communicate findings to ke stakeholders and elicit additional clarification and requirements to fine tune the final solution

- Implement state of the art data science algorithms in production environment

- Effectively multitask and deliver on time with quality

- Provide status updates, timely communications on significant issues or developments to project manager/anchors

Technical/Functional Skills:

- Minimum 5 years of hands-on experience in predictive modeling and machine learning

- Experience leading and mentoring teams of data scientists

- Solid understanding of Statistics, Machine Learning, Deep Learning and Artificial Intelligence Technologies

- Proficiency working with Python for data science problems

- Expertise in building, productionizing, and scaling analytics solutions for big data problems

- Experience in building and scaling models for time series (such as sensors etc.) data is a priority

- Experience with SQL and NoSQL databases

- Familiarity with agile execution of data science projects

- Practical experience in the following areas is a plus: Deep Neural Networks, RNNs, LSTMs, CNNs, auto encoder/decoder, reinforcement learning, transfer learning, explainable machine learning.

Desired Characteristics:

- Strong oral and written communication skills

- Strong interpersonal and leadership skills

- Ability to influence others and lead small teams

- Lead initiatives of moderate scope and impact

- Ability to coordinate several projects simultaneously

- Effective problem identification and solution skills

- Proven analytical and organizational ability

Education:

- Qualification: BE/B.Tech, ME/M.Tech, MS, MCA (with an aggregate of 75% and above)

- Stream: Bachelor or Master's degree in Statistics, Applied Mathematics, Operation Research, Economics or a related quantitative field