Statistical Analyst/ Data scientist:

• Client oriented approach to problem solving. Individual should be able to have a holistic view of multiple businesses and develop analytic solutions accordingly.
• Own and deliver multiple and complex analytic projects. This would require an understanding of business context, conversion of business problems in modeling, and implementing such solutions to create business value.
• Always up to date with the latest use cases of modeling community, machine learning and deep learning algorithms and share knowledge within the team.
• Proficiency in basic statistics, hypothesis testing, segmentation and predictive modeling.
• Ability to translate and articulate technical thoughts and ideas to a larger audience including influencing skills with peers and senior management.
• Strong project management skills.
• Ability to coach and mentor juniors.
• Eagerness to work on new and challenging tasks on a regular basis with an ability to research new ways of doing things better/efficiently.
• Contribute to organizational initiatives in wide ranging areas including competency development, training, organizational building activities etc.

Skills:

• Bachelor’s Degree with 2+ years of experience in data analytics,
• Hands-on experience in Python / SAS or R programing along with strong experience in SQL and Excel Macros.
• Experienced in working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding.
• Well versed with necessary data preprocessing and feature engineering skills.
• At least 2 years of experience implementing Machine learning algorithms such as Random Forest and Gradient Boosting in solving business problems such as Default classification and macroeconomic forecasting.
• At least 1 year of experience implementing deep learning techniques like neural networks
• Exposure to deep learning packages like Tensorflow
• Strong background in Statistical Analysis
• Background in BFSI space will be preferred