Data Scientist
at Vedantu
1 - 4 yrs
₹8L - ₹16L / yr
Full time
Bengaluru (Bangalore)
Skills
Data Science
Machine Learning (ML)
R Programming
Python
Decision Science
Natural Language Processing (NLP)
About Vedantu
---------------------------
If you have ever dreamed about being in the driver’s seat of a revolution, THIS is the place for you. Vedantu is an Ed-Tech startup which is into Live Online Tutoring. Recently raised Series B funding of $11M
Job Description
We are looking for a Data Scientist who will support our product, sales, leadership and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product, sales and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data analysis methods, building and implementing models and using/creating appropriate algorithms.
Desired Skills
1. Experience using statistical computer languages (R, Python,etc.) to manipulate data and draw insights from large data sets.
2. Process, cleanse, and verify the integrity of data used for analysis.
3. Comfortable manipulating and analyzing complex, high-volume,
high-dimensionality data from varying, heterogeneous sources
4. Experience with messy real-world data -- handling missing/incomplete/inaccurate
data
5. Understanding of a broad set of Algorithms and Applied Math.
6. Good at problem solving, probability and statistics and knowledge of advanced
statistical techniques and concepts (regression, properties of distributions,
statistical tests and proper usage) and experience with applications.
7. Knowledge of data scraping is preferable
8. Knowledge of a variety of machine learning techniques (clustering, decision tree
learning, artificial neural networks) and their real-world advantages/drawbacks.
9. Experience with big data tools (Hadoop, Hive, MapReduce) a plus.
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About Vedantu
Founded :
2011
Type
Size
Stage :
Raised funding
About
Vedantu is India's leading online tutoring company that offers personalized and interactive learning to students from grades 6 to 12, preparing them for school boards, competitive exams, and co-curricular courses. It has a pool of 500+ teachers who have taught over 1 million hours to 40,000+ students across 1000+ cities from 30+ countries.
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Company social profiles
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Job Summary
The Engineering team is seeking a Data Architect. As a Data Architect, you will drive a
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Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
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Intelligence, Data Engineering, Data Science, and Operations (including Product and
Marketing Ops, Client Services) along with Data Strategy and monetization. The teams built
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Job Location: Chennai
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Intelligence, Data Engineering, Data Science, and Operations (including Product and
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Strong experience in handling multi-national client engagements
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Excellent understanding of basics in mathematics and statistics (such as differential
equations, linear algebra, matrix, combinatorics, probability, Bayesian statistics, eigen
vectors, Markov models, Fourier analysis).
Building data analytics models using Python, ML libraries, Jupyter/Anaconda and Knowledge
database query languages like SQL
Good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM,
Decision Forests.
Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the
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Deep learning : CNN, neural Network, RNN, tensorflow, pytorch, computervision,
Large-scale data extraction/mining, data cleansing, diagnostics, preparation for Modeling
Good applied statistical skills, including knowledge of statistical tests, distributions,
regression, maximum likelihood estimators, Multivariate techniques & predictive modeling
cluster analysis, discriminant analysis, CHAID, logistic & multiple regression analysis
Experience with Data Visualization Tools like Tableau, Power BI, Qlik Sense that help to
visually encode data
Excellent Communication Skills – it is incredibly important to describe findings to a technical
and non-technical audience
Capability for continuous learning and knowledge acquisition.
Mentor colleagues for growth and success
Strong Software Engineering Background
Hands-on experience with data science tools
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Research and Develop Innovative Use Cases, Solutions and Quantitative Models
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cross-industry business (e.g., Retail, Energy, Industry, Mobility, Smart Life and
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Design, Implement and Demonstrate Proof-of-Concept and Working Proto-types
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Explore emerging tools, techniques, and technologies, and work with academia for cutting-
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Team Management Skills
Academic Qualification
7+ years of professional hands-on work experience in data science, statistical modelling, data
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Innovative and creative in data analysis, problem solving and presentation of solutions.
Ability to establish effective cross-functional partnerships and relationships at all levels in a
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Strong experience in handling multi-national client engagements
Good verbal, writing & presentation skills
Core Expertise
Excellent understanding of basics in mathematics and statistics (such as differential
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Building data analytics models using Python, ML libraries, Jupyter/Anaconda and Knowledge
database query languages like SQL
Good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM,
Decision Forests.
Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the
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Deep learning : CNN, neural Network, RNN, tensorflow, pytorch, computervision,
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Good applied statistical skills, including knowledge of statistical tests, distributions,
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Read more
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● Working knowledge of Tensorflow/PyTorch
Optional Add-ons-
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etc.
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Read more
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Job Title : Analyst / Sr. Analyst – Data Science Developer - Python
Exp : 2 to 5 yrs
Loc : B’lore / Hyd / Chennai
NP: Candidate should join us in 2 months (Max) / Immediate Joiners Pref.
|
About the role:
We are looking for an Analyst / Senior Analyst who works in the analytics domain with a strong python background.
Desired Skills, Competencies & Experience:
• • 2-4 years of experience in working in the analytics domain with a strong python background. • • Visualization skills in python with plotly, matplotlib, seaborn etc. Ability to create customized plots using such tools. • • Ability to write effective, scalable and modular code. Should be able to understand, test and debug existing python project modules quickly and contribute to that. • • Should be familiarized with Git workflows.
Good to Have: • • Familiarity with cloud platforms like AWS, AzureML, Databricks, GCP etc. • • Understanding of shell scripting, python package development. • • Experienced with Python data science packages like Pandas, numpy, sklearn etc. • • ML model building and evaluation experience using sklearn.
|
Read more
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- Closely collaborate with the Data Science team and assist the team build and deploy machine learning and deep learning models on big data analytics platforms.
Skills:
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- Experience in designing systems that process structured as well as unstructured data at large scale.
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- Having a good understanding of machine learning landscape and concepts.
Qualifications and Experience:
Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Big Data Engineer or a similar role for 3-5 years.
Certifications:
Good to have at least one of the Certifications listed here:
AZ 900 - Azure Fundamentals
DP 200, DP 201, DP 203, AZ 204 - Data Engineering
AZ 400 - Devops Certification
Read more
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It is one of the largest communication technology companies in the world. They operate America's largest 4G LTE wireless network and the nation's premiere all-fiber broadband network.
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• Prior experience with data visualization tools, such as D3.js, GGplot, etc..
• Good knowledge on statistics skills, such as distributions, statistical testing, regression, etc..
• Adequate presentation and communication skills to explain results and methodologies to non-technical stakeholders.
• Basic understanding of the banking industry is value add
Develop, process, cleanse and enhance data collection procedures from multiple data sources.
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• Excellent understanding of machine learning techniques and algorithms, such as SVM, Decision Forests, k-NN, Naive Bayes etc.
• Experience in selecting features, building and optimizing classifiers using machine learning techniques.
• Prior experience with data visualization tools, such as D3.js, GGplot, etc..
• Good knowledge on statistics skills, such as distributions, statistical testing, regression, etc..
• Adequate presentation and communication skills to explain results and methodologies to non-technical stakeholders.
• Basic understanding of the banking industry is value add
Develop, process, cleanse and enhance data collection procedures from multiple data sources.
• Conduct & deliver experiments and proof of concepts to validate business ideas and potential value.
• Test, troubleshoot and enhance the developed models in a distributed environments to improve it's accuracy.
• Work closely with product teams to implement algorithms with Python and/or R.
• Design and implement scalable predictive models, classifiers leveraging machine learning, data regression.
• Facilitate integration with enterprise applications using APIs to enrich implementations
Read more
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Linear regression
Logistic regression
Python
+1 more
Job Description :
Role : Analytics Scientist - Risk Analytics
Experience Range : 1 to 4 Years
Job Location : Noida
Key responsibilities include
•Building models to predict risk and other key metrics
•Coming up with data driven solutions to control risk
•Finding opportunities to acquire more customers by modifying/optimizing existing rules
•Doing periodic upgrades of the underwriting strategy based on business requirements
•Evaluating 3rd party solutions for predicting/controlling risk of the portfolio
•Running periodic controlled tests to optimize underwriting
•Monitoring key portfolio metrics and take data driven actions based on the performance
Business Knowledge:
Develop an understanding of the domain/function. Manage business process (es) in the work area. The individual is expected to develop domain expertise in his/her work area.
Teamwork:
Develop cross site relationships to enhance leverage of ideas. Set and manage partner expectations. Drive implementation of projects with Engineering team while partnering seamlessly with cross site team members
Communication:
Responsibly perform end to end project communication across the various levels in the organization.
Candidate Specification:
Skills:
• Knowledge of analytical tool - R Language or Python
• Established competency in Predictive Analytics (Logistic & Regression)
• Experience in handling complex data sources
•Dexterity with MySQL, MS Excel is good to have
•Strong Analytical aptitude and logical reasoning ability
•Strong presentation and communication skills
Preferred:
•1 - 3 years of experience in Financial Services/Analytics Industry
•Understanding of the financial services business
• Experience in working on advanced machine learning techniques
If interested, please send your updated profile in word format with below details for further discussion at the earliest.
1. Current Company
2. Current Designation
3. Total Experience
4. Current CTC( Fixed & Variable)
5. Expected CTC
6. Notice Period
7. Current Location
8. Reason for Change
9. Availability for face to face interview on weekdays
10.Education Degreef the financial services business
Thanks & Regards,
Hema
Talent Socio
Read more
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Subodh Popalwar
Software Engineer, MemorresFor 2 years, I had trouble finding a company with good work culture and a role that will help me grow in my career. Soon after I started using Cutshort, I had access to information about the work culture, compensation and what each company was clearly offering.
Companies hiring on Cutshort