Analytics and Insights Engineer II, Data Science and Model Development

The team

Qualifications

• Required:
• Bachelor's degree
• 2+ years of experience building, validating, or maintaining quantitative workforce, staffing, or resource models.
• 2+ years of experience applying advanced statistics in a professional setting, including regression analysis methods, model calibration, diagnostic testing, and interpretation of results.
• 2+ years of experience with machine learning models and feature engineering using structured data.
• 2+ years of experience programming in Python for statistical analysis, data preparation, and model development.
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
• Active Secret or above security clearance required
• Preferred:
• Experience working with structured and unstructured data from multiple source systems
• Experience with feature engineering, model evaluation, and performance tuning techniques
• Experience developing data visualizations or dashboards using tools such as Tableau, Power BI, or similar platforms
• For individuals assigned and/or hired to work in Virginia, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to Virginia and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 to $170,900.
• You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.