Data Scientist Job in Gurgaon at
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Actively hiring

Data Scientist


Start date
Starts Immediately
4 - 6 LPA
Apply By
16 Dec' 22
Posted 3 weeks ago
Fresher Job
About is the USA and India-based corporation focused on delivering outcomes to clients using data. Our expertise lies in a collection of people, methods, and accelerators to rapidly deploy solutions for our clients. Our principals have significant experience with global leading consulting firms & corporations and delivered large-scale solutions. We are focused on data science and analytics for improving the process and organizational performance. We are working on cutting-edge data science technologies like NLP, CNN, and RNN and applying them in the business context.
Activity on Internshala
Hiring since September 2019
96 opportunities posted
23 candidates hired
About the job
Key responsibilities:

1. Work with managers and clients in building analytics solutions
2. Understand a business problem and structure an analytical plan to solve it
3. Work with structured & unstructured data sets
4. Communicate insights and plans to cross-functional team members and management
5. Work on Python and other scripting tools for merging or cleaning the data sets
6. Handle analytics and produce outcomes
7. Synthesize the outcomes and write good business decks


1. Candidates with a computer science or programming background
2. Consistent academic performance
3. Have completed Kaggle/HackerRank or any other competitive performance training from Coursera or Udemy or other sources (factors of evaluation or strong employment experience)
4. Knowledge of data analytics, Python, Tableau, NLP, neural networks and MS-Office
5. Strong oral and written communication skills
6. Flexibility and time management
7. Needs to be self-driven
8. Understands the problems efficiently
9. Can generate interesting insights and deliver solutions
10. Willing to relocate to Gurgaon
Skill(s) required
Data Analytics Deep Learning Machine Learning MS-Excel Power BI Python Tableau

Annual CTC: 4 - 6 LPA (All fixed)

Informal dress code 5 days a week
Number of openings

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