Multiple Locations: New York, NY; Dallas, TX; Portland, OR; Los Angeles, CA
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 in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. Being part of a small team, this person will be a major player in shaping the future of data science ML / AI within the firm, and opportunities to grow and influence the growth of the company are tremendous.
- 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
Managing project timelines and executing to timelines
Skills and Qualifications
- Excellent understanding of machine learning techniques and algorithms, such as Random Forests, Gradient Boosting, Ridge/Lasso, SVM, timeseries techniques etc.
Excellent programming skills (Python/Scala/Java)
Experience with common data science toolkits, such as NumPy, sparkML, scikitLearn, etc. Excellence in at least one of these is highly desirable
Great communication skills
Experience in Natural Language Processing techniques is a plus
Experience with Spark framework is preferred
Experience with data visualization tools, such as D3.js, GGplot, etc. is preferred
Familiarity in using query languages such as SQL, Hive
Good applied statistics skills, such as distributions, statistical testing, regression, etc.
Curiosity and a voracious appetite to learn
Email resume to firstname.lastname@example.org and include position for which you are applying.