TransOrg - Lead - Data Scientist - R/Python & Predictive Modelling

Why you would like to join us

TransOrg Analytics, an award-winning - Big Data and Predictive Analytics- company, offers advanced analytics solutions to industry leaders and Fortune 500 companies across India, US, UK, Singapore and the Middle East. We have been recognized by the CIO Review magazine as the - Predictive Analytics Company of the Year- and by TiE for excellence in entrepreneurship. We offer a challenging work environment and abundant opportunities to excel and grow professionally.

Overview

Analyze & interpret data and communicate results to clients, often with the aid of mathematical/statistical techniques and software. This role requires:

- Data exploration, mathematical/statistical modeling, data analysis, and hypothesis testing.

- Design, development, and deployment of Predictive models and frameworks.

- Complex statistical concepts are explained in a way that clients can understand and advice on strategy.

What your typical day at TransOrg would look like :

- Manage a team of Business Analysts.

- Lead team members, including personal development and set work direction.

- Group development by building expertise in new domains and processes.

- Coach and mentor team members.

- Responsible for productivity, utilization, and quality of output of the group.

- Development of training modules and imparting training to the group.

- Execution of data-driven planning process by building models and frameworks that connect business unit drivers to company financials and forecast to take the correct decision as per the business need.

- Design and build dashboards and other visualizations in BI tools.

- Collaborate with other data analysts to provide development coverage, support, and knowledge sharing and mentoring of junior team members.

What you need to excel in this role

- Bachelor's in Computer Science/ Engineering, Statistics, Math or related quantitative degree or equivalent work experience.

- Experience with modeling techniques such as clustering, linear & logistic regression, random forest etc.

- Well-versed in quantitative analysis, research, data mining, trend analysis, customer profiling, clustering, segmentation and predictive modeling.

- Must have a passion for data, structured or unstructured.

- 5-8 years of hands-on experience with R/Python (is a must)

- SAS & SQL would be a plus.

- Should have sound experience in data mining and data analysis.

- Should be able to handle assigned tasks in the capacity of the individual contributor.

- Demonstrate excellent teamwork.

- Excellent critical thinking, verbal and written communications skills.