Senior Data Scientist - Lead Analytics & Data Platforms

Job Description:We are seeking a data scientist to join our business intelligence team to help us make better business decisions based on our data. The ideal candidate will have a working knowledge of statistics, mathematics, and data science programming languages (e.g., SQL, R, Python). Your primary responsibilities will be performing statistical analyses, running custom SQL queries, and identifying patterns and trends that can improve our products’ and services’ efficiency and usability.

You will also be expected to maintain and improve our data infrastructure and tools.Responsibilities:

• Formulates and leads guided, multifaceted analytic studies against large volumes of data.
• Interprets and analyzes data using exploratory mathematic and statistical techniques based on the scientific method.
• Coordinates research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.
• Experiments against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.
• Leads all data experiments tasked by the Data Science Team.
• Coordinates with Data Engineers to build data environments providing data identified by Data Analysts, Data Integrators, Knowledge Managers, and Intel Analysts.
• Develops methodology and processes for prioritization and scheduling of projects.
• Analyzes problems and determines root causes.
• Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models.
• Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.

• Bachelor's degree in data science, data analytics, or related field
• Master’s degree or Ph.D. in a quantitative field, such as statistics, computer science, mathematics, or engineering
• Proficiency in Python, Java, or Kotlin
• Knowledge of data science toolkits such as R, Num Py, and Mat Lab
• Experience with big data analytics technologies such as Spark and Hadoop
• Experience with data visualization tools such as D3.js and Tableau
• Expertise in data mining and machine learning
• Working knowledge of statistical models and business intelligence
• Familiarity with cloud-based infrastructure
• Ability to store and process unstructured data with No
  
  SQL databases and machine learning models.

• Minimum 5+ years of professional experience in Data Scientist.