Statistician II - Wage

Statistician II - Wage and Hour

Join to apply for the Statistician II - Wage and Hour role at Jackson Lewis P.C.

The Statistician II role in the Wage & Hour Data Analytics group provides support on various projects, including single plaintiff, class action, collective action, and DOL audit client exposure analyses. Experience with Wage & Hour data and a current knowledge of Wage & Hour laws at the state and/or federal level is required. Once integrated into the group, you will work with a high degree of latitude with minimal supervision, handle complex attorney/client issues, oversee the work of analysts and more junior statisticians, and be expected to effectively communicate with both attorneys and high-level client contacts.

Regularly works with attorneys and team manager to determine strategies for projects and provide support on Practice Group initiatives, marketing efforts, and in pitches.

• Identify data issues, perform basic analysis, and develop solutions.
• Participate in the creation of macros and coding for necessary analyses.
• Provide input on timely, effective solutions to solve client issues; identify and suggest new approaches to technical issues.
• Assess client exposure under various litigation scenarios – class action, collective action, etc.
• Oversee and review work of analysts and junior statisticians, including workload management and project delegation.
• Provide clear, concise communications – both written and oral – to attorneys and client contacts, with the ability to explain complex topics in an easy-to-understand manner.
• Develop methods and strategies to reach the end goal of a project based on various types/formats of raw client data.
• Work with attorneys and analysts for analysis revisions, often on-the-fly during mediation proceedings.
• Determine client and project needs and independently design and prepare data and analyses.

• Minimum two years of experience directly working with Wage & Hour topics and data (timekeeping and payroll data especially), preferably within a legal or HR context highly preferred.
• Direct experience with California Wage & Hour laws is a large plus.
• Expert working knowledge with Excel, especially with basic and intermediate Excel formulas (vlookups, sumifs, etc.);
  Ability to use Excel formulas and mathematics to manipulate raw data into dollar-figure exposure estimates.
• VBA experience is a large plus.
• Experience in R, SQL, Python, other statistical programs is a plus (R preferred).
• Proficiency in linear and logistic regression modeling for large scale work forces.
• Ability to communicate well, both in writing and verbally, with client HR and legal professionals at Fortune 500 companies.
• Ability to write programs/macros to automate repetitive statistical and data tasks.
• Critical thinking and problem‑solving skills required.
• Strong organizational and communication skills.
• Ability to multi‑task and manage multiple projects, from start to finish, with shifting priority levels.
• Working knowledge of R, data wrangling methodologies, and coding standards around dplyr, tidyverse, lubridate.
• Critical thinking skills with attention to every detail.
• Willingness to conform to standardized group practices.

• Master’s‑level (or above) degree in applied statistics, mathematics, econometrics or a similar field commensurate experience or equivalent level of training.

For Colorado, NY and Washington, the expected salary range for this position is between $92,600 and $105,000. This position is also eligible for annual bonuses. The actual compensation will be determined based on experience and other factors permitted by law.

• Medical, dental, vision, life and disability insurance.
• 401(k) Retirement Plan.
• Flexible Spending and Health Savings Account.
• Firm‑paid holidays, vacation and sick time.
• Employee assistance program and other firm benefits.

We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, age, religion, disability, sexual orientation, veteran status, marital status or any other characteristics protected by law.