Engineering data scientist

• Lead the development and application of data solutions for cleansing data to remove errors and review consistency
• Oversee the analysis of data to discover information, business value, patterns and trends in support to guide development of assets business solutions
• Oversee data gathering, finding patterns and relationships and create prediction models to evaluate client assets
• Conduct research and apply existing data science methods to complex business line problems
• Responsible for monitoring client assets and perform predictive and root cause analysis to identify adverse trends
• choose best fit methods, define algorithms, and validate and deploy models to achieve desired results
• Oversee the production of reports and visualizations to communicate technical results and interpretation of trends
• effectively communicate findings and recommendations to all areas of the business
• Manage requests for proposals from clients
• Present to clients and at industry conferences
• Train and mentor less experienced data scientists
• Provide performance feedback to managers
• Participate in recruitment efforts
• Performs other duties as assigned
• Complies with all policies and standards

• Bachelor Degree in Analytics, Computer Science, Information Systems, Statistics, Math, or related field from an accredited program and 4 years related experience
• Experience working with SQL, R, Java, Python, SAS, SPSS required
• Experience in data mining and predictive analytics
• Experience in machine learning and predictive algorithms
• Experience in data visualization
• Ability to work with team members and clients to assess needs, provide assistance, and resolve problems
• Strong problem-solving and analytical skills
• Strong attention to detail
• Excellent verbal/written communication, and the ability to present and explain technical concepts to business audiences

Master Degree Preferred Related consulting experience preferred