Vacancies for B.Tech, BE Graduates in Make My Trip; Check the details | Tech Reddy

[ad_1]

Vacancies for B.Tech, BE Graduates in Make My Trip; Check the details

Brief description:

Make My Trip is hiring an experienced Data Scientist for their Gurgaon and Bangalore locations. This role will be a part of Marketing Analytics Steam where the incumbent will be responsible for providing analytical insights from various data sources and enabling marketing and business teams in decision making.

Complete details of this job are as follows:-

Roles and Responsibilities:

The ideal candidate should be able to:

Play a critical role in marketing strategy by taking ownership of the data science function

Interpret complex data sets and gain insights using statistical techniques

Build predictive models through ML algorithms that will meet business needs

The ideal candidate should also have knowledge of:

SQL

R/Python

AWS (preferable)

Eligibility:

B.Tech/BE from a reputed University

Ability to work on prescriptive, descriptive and predictive models using well-known ML techniques using Python, R-Studio, PySpark, Keras, Tensorflow.

2+ years of work experience in building Machine Learning/Deep Learning models

Must have a grasp of numbers and be willing to handle large amounts of data and analysis.

Prior experience with an e-commerce player is preferred.

Excellent team player with good written and verbal communication skills.

Ability to manage/influence multiple stakeholders, good cross-functional skills.

To apply for this job, visit the official website

Disclaimer:

The recruitment information provided above is for informational purpose only. The above recruitment information is taken from the official site of the organization. We do not guarantee any placement. Recruitment is done as per the official recruitment process of the company or organization posting vacancies. We do not charge a fee for providing this job information. Neither the author nor StudyCafe and its affiliates accept any responsibility for any loss or damage arising from any information in this article or for any action taken in reliance thereon.

[ad_2]

Source link