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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.
Job Responsibility:
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
Requirements:
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, NumPy, and MatLab
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 NoSQL databases and machine learning models
Minimum 5+ years of professional experience in Data Scientist
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