Principal Senior Data Scientist
-
Location
Boston, Massachusetts
-
Sector:
-
Job type:
-
Salary:
Negotiable
-
Contact:
Daniel Haddad
-
Contact email:
dhaddad@understandingrecruitment.com
-
Job ref:
BBBH6965_1576649506
-
Published:
about 1 year ago
-
Expiry date:
2020-01-17
We are looking for a Principal Data Scientist (Neural Networks, Statistics, Online Shopping Platform) to join our award-winning company is setting out to build the world's most trusted and transparent marketplace after being voted the #1 most popular online shopping platform within the USA.
We are searching for a Principal Data Scientist to help push forward their globally recognized online marketplace platform- whose vision is to create the optimal shopping experience through the use of ML & complex data analytics; used by millions of customers per day.
Based in Cambridge, this company uses leading proprietary technology, search algorithms, and innovative Machine Learning to serve its nationwide consumer-base. As a Principal Data Scientist, you will be building robust machine learning models (you do not need to worry about anything else - as there are teams for data processing, implementation etc!) which will be able to digest and act on hundreds of thousands of micro-decisions from insights gained from highly voluminous amounts of data… in a matter of seconds.
We can offer a Principal Data Scientist :
- A chance to be in charge of your own projects and products from the ground up.
- A culture of diversity, creativity, and inclusivity - all working together under one shared vision.
- Intellectual challenges that you would not experience in most companies.
- No corporate bureaucracy!
Key Skills: Data Science, Data Scientist, Principal Data Scientist , Leader, General Machine Learning, Statistical Modelling, Regression, Supervised, Unsupervised, Optimization, Recommendation Systems, Deep Learning, Reinforcement learning, NLP, Computer Vision, Experimental Design, Python, R, Math, Mathematics, Research & Development, Business, Strategy, Reports, Stakeholders, decision making, roadmapping, Product, Metrics.
