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487 Info Edge Jobs

Data Scientist

0-3 years

₹ 18.3 - 30L/yr (AmbitionBox estimate)

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This is an estimate of the average salary range for this position. It has not been reviewed by the company, and the actual salary may differ.

Noida

Data Scientist

Info Edge

posted 1mon ago

Job Description

About Info Edge
InfoEdge’s mission is to create world-class platforms that transform lives by continuously innovating. Our products and services are built keeping our customers in mind. We always delight our customers by delivering superior value through enhanced offerings on the internet and other platforms. Through our continuous investment across various businesses, especially in cutting-edge technology, machine learning and artificial intelligence (AI), we have built a robust system that constantly increases our predictive powers on customer behaviour, and optimizes and improves our systems. Our various teams tirelessly work together to solve problems, innovate, and create something to empower our customers.
At Info Edge, people are our core competitive advantage and we will continue doing all that is needed to attract and retain the best available talent.


About BU: Corporate Function Title: Data Scientist
Required Educational Qualification: PhD/ MTech / BTech with relevant experience from Tier 1 Campus
Desired Experience: 1-3 Years

Job Objective: As a Data Scientist you will be building innovative Machine Learning solutions for vital and complex business problems.

 

Job Description:

As Data Scientist you will:
● Develop algorithms and build systems to extract seemingly unseen trends and information from user content such as resumes, job description and profile information available through various sources and in different modalities such as numeric, structure and unstructured texts and images.
● Identify potential new business problems that can be solved through machine learning.
● Ideate, formulate, create metrics and execute on such problems and get buy in from business.
● Identify potential data-driven machine learning solutions to improve user experience through personalization and prediction of user preferences.
● Build intelligent systems to capture and model the vast amount of behavior data to enrich the content understanding with behavioral information.
● Identify the appropriate and cutting edge machine learning tools for various supervised and unsupervised tasks in the NLP, deep learning, semantic search, LTR space for building highly accurate and scalable recommendation systems and information retrieval solutions.
● Design solutions for scalable and real-time performance on a significantly large data set. Use big data technologies to optimally use infrastructure and improve performance.
● Participate in external forums /discussions, publish research papers, keep up-to-date on latest publications and build external/internal networks.

 

Required Skills:
● Strong fundamental understanding and research experience in machine learning/Deep Learning/NLP/Information Retrieval/Artificial Intelligence areas.
● Strong applied knowledge of machine learning in solving real-world business problems with a significantly broad number of algorithms covering the landscape of classification, regression; discriminative, generative; supervised, unsupervised, semi-supervised; linear and non-linear dimensionality reduction, feature-extraction, feature selection, feature-learning.
● Industry experience in applying a variety of machine learning solutions to real-world large-scale data to build intelligent systems.
● An excellent problem solving skills with a research oriented approach.
● Ability to capture, manage, create pipelines and process Big Data.

 

Desired Skills:
● Ability to understand Business challenges and define solutions aligned to the needs.

 

Why Join us:
This is a unique opportunity to work on innovative and disruptive technologies that are shaping the future of the industry. We are looking for candidates who are willing to work passionately in a fast-paced environment and are ready to enhance their skills by learning something new. Being a part of the InfoEdge team, you will be engaged in innovations, product development, integration with mobile and social media, technology, research and development, quality assurance, sales and marketing.
To learn more about Info Edge visit http://www.infoedge.in/


Employment Type: Full Time, Permanent

Read full job description

Info Edge Interview Questions & Tips

Prepare for Info Edge Data Scientist roles with real interview advice

Top Info Edge Data Scientist Interview Questions

Q1. Break The Integer Problem Statement Given an integer N , the task is to divide this integer into 'K' positive parts (where K ≥ 2 ) such tha ... read more
Q2. Balanced Parentheses Combinations Given an integer N representing the number of pairs of parentheses, find all the possible combinations of ... read more
Q3. Write the code for rearranging the array in consecutive pair multiplication. For example consider an array with 10 element A0, A1, A2......A ... read more
View all 198 questions

What people at Info Edge are saying

3.6
 Rating based on 7 Data Scientist reviews

Likes

Great learning opportunities

  • Salary - Good
  • +5 more
Dislikes

Nothing as much

Read 7 Data Scientist reviews

Data Scientist salary at Info Edge

reported by 76 employees
₹14.2 L/yr - ₹36 L/yr
79% more than the average Data Scientist Salary in India
View more details

What Info Edge employees are saying about work life

based on 2k employees
57%
64%
64%
99%
Strict timing
Monday to Friday
No travel
Day Shift
View more insights

Info Edge Benefits

Submitted by Company
Employee Friendly Policies
Training & Development
Health & Accidental Insurance
CSR
Reward and Recognition
Internal Career Mobility +2 more
Submitted by Employees
Cafeteria
Health Insurance
Job Training
Team Outings
Free Transport
Work From Home +6 more
View more benefits

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Info Edge Noida Office Locations

View all
Noida Office
Headquarter
Info Edge (India) Limited, B - 8, Sector - 132 Noida
201304
Noida Office
C-133/B, C Block, Sector 2 Noida
Uttar Pradesh 201301

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