WESCO Hiring for (India-Bangalore) Senior Data Scientist at Bengaluru East, India Full Time

The Senior Data Scientist identifies business trends and problems through complex big data analysis. Interprets results from multiple sources using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining independently. Designs, develops and implements the most valuable business solutions for the organization. Prepares big data, implements data modules and develops database to support the business solutions. Requires an advanced degree.

• Work on existing Digital Products and understand and enhance the current intelligent models and innovatively improve them.

• Work with stakeholders to identify opportunities from data, drive innovation and a culture of Invention Disclosures..

• Translate data into actionable insights to empower confident decisions, product creation & development, drive optimization, marketing techniques, business strategies and outcomes.

• End-to-end ownership of work from ideation to production.

• Develop, manage and maintain Machine Learning and Deep Learning infrastructure from pipelines and modelling to machine learning products and decision support.

• Work with other Data Teams and Data Engineers to build upon our data collection, storage, and processing infrastructure

• Lead cross functional teams of Data Scientists, Data Engineers and Developers to implement models and monitor outcomes.

• Develop company A/B testing framework and test model quality.

• Develop processes, tools to monitor and analyze model performance and data accuracy.

• Work with the technical team and provide learning programs and workshops like Bootcamps and hackathons to skill up data literacy at Wesco.

• Influence leadership to drive more data-informed decisions.

• Define and advance best practices within data science and product teams.

Experience:

• 5 years of experience in working with any of the deep learning frameworks like Pytorch, Tensorflow, Caffe, etc.

• 5 years of proven track record of independent thinking and complex problem-solving. Work can include papers in reputed conferences or journals and/or patent applications.

• 5 years of proven track record of R&D research in an industrial setting with multiple patents/patent applications.

• 5 years of experience in robotics i.e., automation through reinforcement learning.

• 5 years of experience in optimization theory like black-box optimization methods.

• 5 years of experience in designing algorithms for IoT devices with resource and power constraints.

• Strong oral and written communication skills.

• A collaborative mindset to excel in a team environment.

• Ability to take complex problem objectives and come up with innovative and flexible solutions.

• Proven track record of driving changes.

• Ability to reconcile complex possibly conflicting tasks and come up with realistic solutions

• Experience with distributed data/computing and orchestration tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Beam, Druid, Airflow, Presto etc.

• Expertise with statistical techniques and their applications in business.

• Coding knowledge and experience with several languages: C, C++, Python, JavaScript, Java, R etc.

• Experience with distributed data/computing and orchestration tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Beam, Druid, Airflow, Presto etc.

Education:

• Masters Degree – A Ph.D. in Electrical Engineering, Computer Science, or related fields is required.

WESCO International, Inc., including its subsidiaries and affiliates (“WESCO”), is an Equal Opportunity and Affirmative Action Employer. It is the policy of WESCO to not discriminate against any job applicant or employee based on age, race, religion, color, handicap, sex, physical condition, disability, sexual orientation, gender identity, national origin, or protected veteran status or any other protected status. This policy includes but is not limited to the following: recruitment and employment, promotion, demotion, transfer, compensation, selection for training including apprenticeship, layoff, or termination.