Responsibilities

• Extract data from multiple data sources like Microsoft SQL Server, Oracle, Azure Blob, and Azure SQL using SQL or Python
• Interpret data well and study patterns using Python libraries like Pandas, Seaborn, and Matplotlib Present findings in clean analysis and visualization to stakeholders
• Present findings in Tableau in a way that compels and enables decision-makers.
• Conduct machine learning experiments using libraries like scikitlearn, tensorflow or spark mllib
• Package models to be consumed in enterprise setting through APIs Test and troubleshoot production models as needed
• Help with production release, migration testing, etc. as needed
• Perform basic Image and Spectral data processing for data preparation
• Build standalone and integration ready modules and packages for solution

Qualifications

• Self-starter with good communication skills
• Proficient in Python – Pandas, Seaborn and Matplotlib
• Skilled in Tableau Visualization
• Excellent knowledge of SQL ( Handling Nulls, Joins, Unions, Case, Date Time Manipulation, String Formatting)
• Good knowledge in Excel based data analysis (Graphs, Charts, Pivots, Lookups and Statistical Functions)
• Knowledge of Scikitlearn, Tensor flow, or Spark mllib
• Must be able to demonstrate skills through any public channel like GitHub , own website/blog, or Tableau Public
• Knowledge of structured, unstructured and other data formats/sources
• Skilled in building basic RESTful APIs and documentation
• Over 2 years of experience as Data Scientist
• Over 3 years of experience as BI/Data Analyst
• Over 3 years of experience with Python, SQL and Tableau

SEND US YOUR RESUME AT [email protected]