What makes you a great fit:

• Passionate problem solver and excellent oral and written communication
• 2 - 5 years hands-on experience in analytics/data science/Machine Learning
• Excellent understanding of machine learning algorithms, such as KNN, Naive Bayes, SVM, Decision Tree, Random Forest, etc.
• Knowledge of analytical and applied statistical techniques, such as distributions, statistical hypothesis testing, design of experiments, etc.
• Experience with common data science toolkits. Excellence in at least one of these is highly desirable.
• Hands-on experience with analytical/statistical tools like R/Python
• Adept in working with databases and query languages RDBMS (Oracle/MS SQL/any other), NoSQL/Big Data ((MongoDB, Cassandra, Cloudera, Hadoop, HBase)
• Proficient with data visualization tools, such as Tableau, Power BI, QlikView, D3.js, etc.
• Good scripting and programming skills
• Working knowledge of MS-Office tools: Excel, PowerPoint, Word
  
• Strong analytical skills involving the ability to collect, organize, analyze, identify patterns and translate into business insights with attention to detail and accuracy.