Job Location: Hyderabad/Secunderabad
Experience Level
6 to 8 years manipulating data sets and building statistical models, Masters / PHD in Statistics, Mathematics, Computer Science or another quantitative field
Use statistical and analytical methods plus AI tools to develop predictive algorithms for relevant healthcare operations and clinical problems.
1. Experience creating and using advanced ML algorithms & statistics: regression, simulation, scenario analysis, modelling, clustering, decision trees, neural networks, etc.
2. Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL
3. Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.
Roles & Responsibilities
- Ability to work with Structured and unstructured data
- Data mining & extraction from multiple sources
- Process, clean, validate integrity of data for analysis
- Analyse patterns and solutions in big data
- Using ML tools to select features, create and optimize classifiers
Expected Skillset
Programming
- Statistical programming languages like R, Python, etc.
- Database query languages like SQL, Hive, Pig is desirable
- Familiarity with Scala, Java, or C++ is an added advantage
- Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.
Statistics
- Mining – Statistical tests, distributions, regression, maximum likelihood estimators, GLM/Regression, Random Forest, Boosting, Trees, text mining
- Experience in fundamentals of Multivariable Calculus and Linear Algebra for optimizing predictive performance in algorithm optimization techniques.
- Data wrangling proficiency in handling imperfections in data
Data Visualization
- High Proficiency in Matplotlib, ggplot, d3.js., Tableau
Machine Learning
- k-Nearest Neighbours, Naive Bayes, SVM, Decision Forests
- Deep learning networks, NLP etc.
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