Senior Data Scientist

**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.- Processing, cleansing, and verifying the integrity of data used for analysis.- Doing ad-hoc analysis and presenting results in a clear manner.- Collaborate with cross-functional agile teams of software engineers, domain experts, and others to build new product features for multiple business units.- Collaborate with data scientists across a variety of businesses to prioritize and promote our machine learning efforts.Skills and Qualifications:- Degree in Computer Science, Software Engineering, Information Science, Mathematics, Statistics, Electrical Engineering, Physics or related fields or equivalent experience.- Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.- Experience with common data science toolkits, such as R, Scikit-learn, NumPy, Tensorflow.- Strong knowledge in POS tagger, shallow and deep parser, feature scaling, dimensionality reduction & data compression techniques, TF-IDF, SVM, Ensemble models (Bagging, Boosting), model tuning using grid-search etc.- 5+ years of software development experience in NLP development & or text analytics.- 5+ years of experience implementing machine learning systems at scale in Python (preferred), Scala, or Java.- You care about agile software processes, data-driven development, reliability, and responsible experimentation.- You preferably have machine learning publications or work on open source to share with us.