Actively Hiring
J
Data Science Specialist
Gurgaon
Job Description
Transorg Analytics
Requirements
Location: Gurugram Job ID: DS1002 Job Type: Full time Experience: 3-5 years Why would you 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) 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. What do we expect from you? • 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 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. • Executing 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 are we looking for? • Bachelor’s in Computer Science/ Engineering, Statistics, Math or related quantitative degree or equivalent work experience. • Experience with modelling techniques such as clustering, linear & logistic regression, random forest etc. • Must have a passion for data, structured or unstructured. • 3-6 years of hands-on experience with R/Python and SQL is must. • 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