Responsibilities

• Building models that are both predictive and prescriptive that could benefit the company
• Analyze historical data statistically to verify models
• Organize and lead all data analysis tasks, including conceptualization, visualization, optimization, and operationalization to improve product, marketing, and business strategies.
• Meeting and exchanging ideas with engineers, IT teams, and other interested stakeholders to implement models and monitor outcomes
• Improving data collection methods to incorporate information needed for creating analytical systems

Requirements

• Proven experience as a Data Scientist or Data Analyst

• Proficiency in database query languages such as SQL, Hive, Pig, Python, R

• Advanced proficiency in programming and machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests

• Hands-on experience with data visualization tools like Matplotlib, ggplot, D3.js., Tableau

• Strong mathematical skills such as statistics, multivariable calculus, and linear algebra

• Experience using web services like Redshift, Spark, DigitalOcean, etc.

• Experience in statistical and data mining techniques such as GLM/Regression, Boosting, Trees, Random Forest, text mining, Facebook Insights, Google Analytic etc.