Analyst: Data Engineer - ML

Our Client is a leader in Aviation Industry with offices strategically located in Gurugram and Bengaluru. The India Knowledge Center (IKC) is a wholly owned subsidiary of our client which plays a crucial role in supporting the companys corporate functions with a dynamic team of professionals driving innovation, efficiency and excellence in the aviation industry.

The Job

We are Seeking to identify an Analyst Data Engineer role, who has a passion for data and analytics with the willingness to dig deep into details as well as the ability to assess the big picture. In-depth understanding of modeling techniques and the ability to perform in a team as well as an individual is paramount to success in this role. The person must have experience to able to extract insights from large volumes of data and clearly communicate relevant triggers and recommendations. High-level responsibilities of the role include:

• Execute solutions to business problems using data analysis, data mining, optimization tools, statistical modeling and machine learning techniques.
• Continuously develop and demonstrate improved analysis methodologies.
• You will have strong modelling skills and are comfortable owning data and working from concept through to execution.
• Understand a business problem and the available data and identify what analytics and modeling techniques can be applied to answer a business question.
• Python and SQL.
• Understanding of how and when to apply predictive and machine learning techniques like logistic regression, random forest, GBM, Neural Nets, SVM etc. is required.
• Be proficient in using database querying tools and able to write complex queries and procedures using Teradata SQL and/or Microsoft TSQL.
• Hands on experience in using Big Data ecosystems (Hadoop/Spark), API Gateways and non-structured data will be a plus.

Your Profile

• Bachelor's/Masters degree with 2+ years of Experience.
• 2+ years of experience in modeling/ machine learning required.
• Proven comfort and an intellectual curiosity for working with very large sets of data, and hands-on knowledge in predictive modelling.
• Python and SQL.