Data Scientist

Responsibilities

• Build and maintain key predictive, regression, causal, time-series, optimization & customer segmentation, capacity constraint models.
• Leverage tools like R, PHP, Python, Hadoop & Azure Data Bricks, ADF, ADLS, Azure Analysis Service to drive efficient analytics.
• Communicate final recommendations and drive decision making.
• Ability to work independently or to manage a virtual team that will research innovative solutions to challenging business problems.

Required Skills

• Good knowledge of Cloud Architecture (Public and Private clouds) – AZURE, AWS.
• Expert in querying and analyzing big data using Hive, Python, SQL, Scope and/or C#.
• Understand the internals of R and Python (Who can perform root cause analysis for the issues encountered in production).
• Expert in advanced Excel functions (e.g., creating formulas, pivot tables) and PowerBI.
• Self-motivated, agile and driven to think out-of-the-box.
• Ability to collaborate with team and drive analytic projects end to end.
• Superior communication skills, both verbal and written.

Required Experience

• 5+ years of Scripting with one of these languages (R, PYTHON).
• 5 or more years of overall IT/DBMS/Data Store experience.
• 3+ years of experience in, big data, data caching, data federation and data virtualization management.
• Hands on experience in building machine learning models using algorithms such as K-Means, SVM, KNN, Tree-Based Methods as well as different forecasting techniques.
• Industry experience in Data analytics/BI, Forecasting modeling and visualization, Optimization and statistics.
• Prior experience with cloud services or cloud data services and/or data analytics projects preferred – Platform knowledge (Azure, Windows and Linux).

Education Requirements

• Bachelor’s Degree in Computer Science, Computer Engineering or a closely related field.