Job Description & How to Apply Below
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.
Requirements:
Bachelor Degree in Analytics, Computer Science, Information Systems, Statistics, Math, or related field from an accredited program and 4 years related experience.
Required
Master Degree Preferred Related consulting experience preferred.
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.
Please send your resume in confidence to
Advantages
Master Degree Preferred Related consulting experience preferred.
Experience working with SQL, R, Java, Python, SAS, SPSS required.
Experience in data mining and predictive analytics.
Responsibilities
Description:
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.
Requirements:
Bachelor Degree in Analytics, Computer Science, Information Systems, Statistics, Math, or related field from an accredited program and 4 years related experience.
Required
Master Degree Preferred Related consulting experience preferred.
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.
Please send your resume in confidence to
Qu…
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