Data Scientist

Overview

Data Scientists utilize statistics, machine learning, and visualization techniques to derive insights and create predictive models. Equipped with data tools including data centric programing languages, data bases, and cloud technology, Data Scientists solve business challenges and answer questions.

Responsibilities:

• Identify valuable data sources and automate collection processes
• Undertake preprocessing of structured and unstructured data
• Analyze large amounts of information to discover trends and patterns
• Build predictive models and machine-learning algorithms
• Present information using data visualization techniques
• Propose solutions and strategies to business challenges
• Collaborate with engineering and product development teams
• Collaborate with product management and engineering departments to understand customer/company needs
• Research and develop statistical learning models
• Execute analytical experiments methodically to help solve various problems and make an impact across various domains
  
  

• 2+ years of professional working experience in a Data Science role
• Industry experience with machine learning projects
• Experience in data analysis, engineering, and statistical modeling
• A demonstrated pattern of continuous improvement of both self and team
• Very strong problem-solving skills
• Bachelor’s degree in Computer Science, Math, Statistics or other quantitative field is a plus
  
  

• Understands and is familiar with the principles, tools, and methodologies required for big data manipulation
• Implements new statistical or other mathematical methodologies as needed for specific models
• Understands custom data models and develops algorithms to apply to data sets
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.)