A data scientist is someone who makes value out of data. Such a person proactively fetches information from various sources and analyzes it for a better understanding of how the business performs, and to ....
A data scientist is someone who makes value out of data. Such a person proactively fetches information from various sources and analyzes it for a better understanding of how the business performs, and to build AI tools that automate certain processes within the company.
What does Data Scientist do?
Data scientists may have different functions depending on which industry/sector they are involved in. For example, a data scientist working for Facebook might analyze the types of pages users ‘like’, and then use this information to decide what type of advertisements the user will see when using their Facebook account. They combine practical skills such as coding and maths with the ability to analyze statistics.
Job brief
We are looking for a data scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be on applying data mining techniques, doing statistical analysis, and building high-quality prediction systems integrated with our products.
Responsibilities
Selecting features, building and optimizing classifiers using machine learning techniques
Data mining using state-of-the-art methods
Extending company’s data with third party sources of information when needed
Enhancing data collection procedures to include information that is relevant for building analytic systems
Processing, cleansing, and verifying the integrity of data used for analysis
Doing ad-hoc analysis and presenting results in a clear manner
Creating automated anomaly detection systems and constant tracking of its performance
Research and develop statistical learning models for data analysis
Collaborate with product management and engineering departments to understand company needs and devise possible solutions
Keep up-to-date with the latest technology trends
Communicate results and ideas to key decision-makers
Implement new statistical or other mathematical methodologies as needed for specific models or analysis
Optimize joint development efforts through appropriate database use and project design
Key requirements
Master’s Degree in Computer Science, Statistics, Applied Math or related field
7+ years’ practical experience with SAS, ETL, data processing, database programming, and data analytics
Extensive background in data mining and statistical analysis
Able to understand various data structures and common methods in data transformation
Excellent pattern recognition and predictive modeling skills
Experience with programming languages such as Java/Python an asset
Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
Great communication skills
Experience with data visualization tools, such as D3.js, GGplot, etc.
Proficiency in using query languages such as SQL, Hive, Pig
Good applied statistics skills, such as distributions, statistical testing, regression, etc.
