TransOrg - Data Scientist - SAS

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. Our products - Clonizo' (customer cloning) and - Mobisights- (interactive mobile dashboards) have yielded significant incremental benefits to our clients. We have been recognized by the CIO Review magazine as the - Predictive Analytics Company of the Year- and by TiE for excellence in entrepreneurship. Visit us at www.transorg.com for details.

What your typical day at TransOrg would look like

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

- Data exploration, mathematical/statistical modelling, 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 you need to excel at

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

- Execute the 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.

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

- Demonstrate excellent teamwork.

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

What we- re looking for :

- 2-4 years of hands-on experience with SAS is must.

- R, SQL and python would be a plus.

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

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

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

- Excellent critical thinking, verbal and written communications skills.

- Ability and desire to work in a proactive, highly engaging, high-pressure, client service environment.

- Good presentation skills.

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