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Transforming the employee career experience

Machine Learning Engineer/Data Scientist

$75k – $125k • 0.5% – 2.5%
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We are looking for Data Scientist/Machine Learning expert to help improve recommendations on current recommendation engine. Essentially the current engine recommends different opportunities users can go into. For technologies we mainly use Neo4j for our data backend and use Python, R, and .NET.
You are responsible for: You will be mainly responsible for improving recommendations and having the system give reasons as to why the user is getting the recommendation. Below are three aspects of where we are looking to improve the recommendations.
1. Reasons as to why the user got the recommendation - Why did this user get this specific recommendation? Did they get it because of something on their resume and/or experience or was it because they liked a certain opportunity? (Example: You are receiving this recommendation because you’ve expressed interest in similar roles.)
2. Improve similarity matching - By using data API’s we have data on how career & skills are evolving in real-time in the market and we need help powering that into our recommendations. (Example: Using similarity, we can recommend a user who has Oracle as a skill an opportunity that has SQL as a key skill because Oracle is 80% similar to SQL.)
3. Improve Career & Talent Insights - By leveraging Market data and client data show how fast careers and skills are changing in the market vs. internally by analyzing employee skills. Essentially we are trying to build job profiles and show how they are changing. (Example: The skills required for Financial Analyst are changing to include skills such as Data Analytics. However, the internal talent who are Financial Analysts don’t posses any Data Analytics skills.)

To succeed in this role, you should have the following skills and experience:
Degree in Engineering, Computer Science, or other quantitative fields
1-5 years of experience in data science and machine learning
Extensive experience with advanced Machine Learning techniques
Experience with ETL and multiple data stores

Meet your team

People you would work with in this role

Matthew Harris

Avatar for Matthew Harris
Co-Founder, CTO @Patheer • Studied at @Boston University • Big Data Enthusiast 

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