Predictive Data Sciences - Senior Analyst/Senior Data Scientist

June Walkin drive (20th June'15) in Chennai at Guru Nanak College, Velachery, Chennai 42, from 9 AM.

About the Company:

Applied Data Finance, a sister company of Predictive Data Sciences, is now forming in Chennai.

We are led by Mr. Krishna Gopinathan, the founder of two successful data science companies in Chennai.

Both are known for developing data scientists and analytics leaders faster than the industry.

The team includes some of the world's top minds in financial data as well. (Please visit www.predictivedatasciences.com)

Not to mention a brilliant idea, an aggressive plan, and $100 million in funding.

We hope to see you at the Walkin this weekend in Chennai or rush your CVs for us to connect with you later.

Job Summary: We are looking for a strong Senior Analyst/Senior Data Scientist, who will guide model development. The person will be part of data science team that continuously interacts with underwriting analysts and developers that drive solutions to the complex business problems, in credit and risk domains.

Roles and Responsibilities:

- In addition to the responsibility of analyst/Data Scientist, additional responsibilities:

- Good understanding of the underlying business and workings of cross functional teams for successful execution.

- Good written and oral communication, and ability to convey technical details to teams working across multiple time zones.

- Mentor a small team of analysts.

Qualifications & Experience:

- 3+ years of experience in the field of analytics, predictive modeling or data science

- Proven experience working in teams with end to end real time implementation

- Strong with programming languages like Python and data processing using SQL or equivalent and ability to experiment with newer open source tools

- Strong with analytical and statistical packages like R, Python Scikit-Learn, or SAS

- Good communication skills and ability to articulate complex scientific and technical matters to the business group

- Ability to successfully interact with business and software teams for execution

- Experience in newer machine learning algorithms

- Experience with NoSQL and distributed data processing technologies such as Hadoop is also desirable

- Experience in risk and credit score domains are a big plus

- B. Tech/M. Tech in Computer Science or other Engineering (or Masters in Quantitative) Discipline from a premier institution