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How to hire
a data scientist
What skills should an ideal data scientist possess?
What is data science?
What does an organization wish
to achieve with data science?
A quality candidate often receives 3 or
hiring is commonly below 50%.
Did you know ?
Programming
Classification and regression
Supervised learning & unsupervised learning
Clustering algorithms (specific to data science)
Decision trees and random forest classifiers
Naive Bayes algorithm
Boosting and bagging
Binary, multiclass & multi-label classification
Neural networks
Solve
optimization problems
Provide
recommendations
Provide
business intelligence
A combination of the above
What are the job parameters for a data scientist?
How to assess
Understand the data science project lifecycle
Find out more - http://bit.ly/2OlopT5
Statistics and linear algebra
Machine learning
Data mining
Optimization
Collecting data
Analyzing data
Use big data technologies
Create pipelines that feed
machine learning algorithms
Handling & cleaning data
Visualize data
Mine raw data
Technical skills
Making inferences from data
Researchers
Math/statistics
Technical skills
Relational databases
SQL
Engineer
Coding
Data tools
Technical Skills
Building ML model
Formal problem
specification
Identification
of data needs
Methodology
selection
Proof
of concept
Validation and
experimentation
Produciton
releases
Maintenance
Iteration
?
Maths
Statistics
Business
Databases
Programming
data science
Maths + Statistics
Business
Databases + Programming

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How to hire a data scientist recruit page

  • 1. How to hire a data scientist What skills should an ideal data scientist possess? What is data science? What does an organization wish to achieve with data science? A quality candidate often receives 3 or hiring is commonly below 50%. Did you know ? Programming Classification and regression Supervised learning & unsupervised learning Clustering algorithms (specific to data science) Decision trees and random forest classifiers Naive Bayes algorithm Boosting and bagging Binary, multiclass & multi-label classification Neural networks Solve optimization problems Provide recommendations Provide business intelligence A combination of the above What are the job parameters for a data scientist? How to assess Understand the data science project lifecycle Find out more - http://bit.ly/2OlopT5 Statistics and linear algebra Machine learning Data mining Optimization Collecting data Analyzing data Use big data technologies Create pipelines that feed machine learning algorithms Handling & cleaning data Visualize data Mine raw data Technical skills Making inferences from data Researchers Math/statistics Technical skills Relational databases SQL Engineer Coding Data tools Technical Skills Building ML model Formal problem specification Identification of data needs Methodology selection Proof of concept Validation and experimentation Produciton releases Maintenance Iteration ? Maths Statistics Business Databases Programming data science Maths + Statistics Business Databases + Programming