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Data Scientist

SKU 1180 Categories ,
Location

Bangalore

Technical area

YoE

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HQ Location

Company Name

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Description

Our Purpose and ChallengesWith over 47% market-share, MakeMyTrip is India?™s first and biggest travel company. In fact, one in every four passengers at an airport is our customer. Driven by the desire to provide an exceptional travel experience for our customers, we have continuously stayed ahead of the curve by developing technology and products to meet the ever-changing demands of the rapidly evolving travel ecosystem.
We are currently solving multiple challenging problems, including -How to bring the next 100 million users to our platform?
How to leverage customer insights to create a truly personalised experience for users?
ufeffHow to create a delightful experience for our users, to make travel synonymous to MMT?

If this excites you, join us for a rewarding, fulfilling and enriching career.

?œNot only do we make the best trips for our customers, we also promise the trip of a lifetime to our employees! Everyday, our teams solve challenging problems for millions of users by leveraging the latest technology, while having loads of fun. Every day is a new trip for them, and that is precisely why we call them Trippers!??/p>

– Sanjay Mohan, Group CTO, MakeMyTrip

About the opportunityWhat you?™ll be doing:Build mathematical models to be deployed in the travel e-commerce funnel (selling hotels, flights, holidays etc.) for improving customer experience and operational efficiency.
Work with product management to translate business problems into machine learning problems
Explore data and communicate insights clearly to various stakeholders
Work with Engineering teams to improve data quality
Analyze experimental results, iterate and refine models to create significant business impact
What you?™ll bring to the team:Curiosity to analyze and uncover insights from data that are relevant to the business
Mathematical background in probability, statistics and linear algebra at a level required to explain the conceptual foundations of common supervised and unsupervised machine learning algorithms
Fluent with the Python ML stack: Pandas, Numpy, Matplotlib
Fluent in SQL
Computer science background (at the level of data structures & algorithms) is desirable
2+ years of production Machine Learning experience in the industry

Interview Process & Prep NotesCoding AssessmentBasic Coding, Algorithm, Machine Learning, SQLML foundations, probability & statistics questions, Python programming fluency
Data structures and Algorithms have stood the test of time and have helped us solve our daily engineering problems. Binary Tree, Linked List, Algorithm Design, Dynamic Programming, Graphs are our best friends. Along with that, It is important for any data enthusiast to be able to work with unstructured data, whether it is from social media, video feeds or audio.

Model building Data Modelling, Data Ingestion, Data Pipelining, Build Data SetA big part of data science modelling involves evaluating a model, for example, making sure that it is robust and therefore reliable. Also, data science modelling is closely linked to creating an information rich feature set. In-depth testing using sensitivity analysis, specialised sampling, and various aspects of model performance (as well as tweaking the model to optimize for a particular performance metric) are parts of data science that we expect you to know. Demonstrate your ability to explain the results and plan next steps
Machine Learning AssesmentMachine Learning Models, Linear Regression, Decision Tree,Neural Networks,Bayesian NetworksNo one can deny the fact that as practicing Data Scientists, you will have to know basics of some common machine learning algorithms, which would help you tackle new age problems we come across.
Past Projects Projects Overview, Problem solving, Statistics & Puzzle QuestionsTell us how you designed and deployed various data science techniques to get to the accuracy you aimed for. We want to know more about your contribution and specific technologies you used.
Team FitmentBehavioural Assessment, Culture Fit, Project Knowledge, Role OperationBe yourself. It works out better for everyone if we’re genuine and can see if we’re a cultural fit for each other. Everyone here is focused on our mission, so you should figure out what it is.
Learning & GrowthAll Trippers get instant access to learning academies, e-learning portals like Udemy, Codeacademy etc, education loans, sponsorship for conferences, skill development programs, and much more. Not to mention the incredible learning opportunity you will undoubtedly receive from working with leaders and colleagues that are at the top of their game!

Learning Academies

Continuous Education Scheme

Conferences

Peer Learning

Valueslive_helpCurious

center_focus_strongCustomer focus

sentiment_satisfied_altCaring

paletteCreative

trending_upContinuous Improvement

insert_chart_outlinedCommitment to results

Location

Makemytrip – Gurgaon
Floor 19, Tower (A, B & C), DLF Building No. 5, DLF Cyber City, DLF Phase 2, Sector 24, Gurugram, Haryana 122022

Makemytrip – Bangalore
2nd Floor, Landmark building, Divyasree technopolis, 132, Kariyammana Agrahara Rd, Marathahalli Village, Marathahalli, Bengaluru, Karnataka 560037

If this excites you, Apply for this opportunity!NameEmailPhoneLinkedIn URLConsider LinkedIn Profile as ResumeResumeUpload Resume

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