- 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
- Developing healthcare predictive and preventive algorithms and models
- Ensuring solutions and executing analytical projects using machine learning/text mining algorithm and methodologies
- Developing thought leadership in solution design and delivery
- Becoming subject matter expert in Healthcare analytics
- 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, Weka, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable
- Great communication skills
- Experience with data visualisation tools, such as D3.js, GGplot, etc.
- Proficiency in using query languages such as SQL, Hive, Pig
- Experience with NoSQL databases, such as MongoDB, Cassandra, HBase
- Good applied statistics skills, such as distributions, statistical testing, regression, etc.
- Good scripting and programming skills
- Data-oriented personality
** U.S. citizens and those authorized to work in the U.S. are encouraged to apply. We are unable to sponsor at this time.
Note:-
- This is a Full-Time Permanent job opportunity for you.
- Only US Citizen, Green Card Holder, TN Visa, GC-EAD, H4-EAD & L2-EAD can apply.
- No OPT-EAD & H1B Consultants please.
- Please mention your Visa Status in your email or resume.
