Data Scientist - Data Sources Team

מספר מקומות |
1-2 שנים |
משרה מלאה
| 11/05/2021
תיאור משרה

The Data Sources team is responsible for exploring and evaluating the various data sources that make our models and products possible. The team proactively explores data sources that can contribute new information and value to our models, tests them through a proof of concept, feature engineers the raw data and finally evaluates the expected value from these sources by augmenting our production models and testing for feature importance and performance lift. You’ll weigh in on the financial tradeoff between the potential model accuracy improvement vs the cost of the data source. These data sources include 3rd party vendors, open source data, our internally developed beacon and any additional information that may be provided by our customers.
The teams data scientists are experts at exploratory analysis and can quickly dig into new noisy unstructured big data that has barely been touched before and measure its value. The team is a fundamental part of our data science department, leveraging data that will deeply help the collective effort.
What You'll Be Doing
Take part in a team responsible for research, analysis, model training and validations to improve our products through different data sources
Explore and analyze new and noisy data, wrangle it to submission, engineer features and evaluate its potential
Work closely with other data science teams to evaluate model improvement’s potential through external creative data
Explore potential improvements to our beacon technology
Master the online fraud prevention domain משרה 102901

דרישות התפקיד

At least 2 years experience as a Data Scientist in the industry
B.Sc in exact sciences (M.Sc - advantage)
Experienced with data science best-practices and machine learning algorithms
Proficient in R / Python - functions creation, data wrangling, modelling
Experience with analyzing unstructured, big-data
Creative thinker with a proven ability to innovate through data exploration and application of non-trivial solutions
Solid understanding of statistics and applied mathematics
Good communication skills, ability to clearly explain complex concepts
Experience with web scraping (e.g. Selenium, beautifulsoup) - advantage