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Jackson Lewis P.C.

Statistician I

Jackson Lewis P.C., Dallas, Texas, United States, 75215

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Statistician I

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Jackson Lewis P.C.

Jackson Lewis P.C. is a nationally recognized labor and employment law firm with over 1,000 attorneys dedicated to developing proactive legal strategies and fostering inclusive, high‑functioning workplaces. The firm is ranked in the First Tier nationally for Labor and Employment Litigation.

Job Summary The Statistician I in the Wage & Hour Data Analytics group supports a range of projects, including class action, collective action, and Department of Labor audit analyses. Candidates must have a strong foundation in Wage & Hour data and law at the state or federal level. The role requires independent work, oversight of junior analysts, and clear communication with attorneys and clients.

Essential Functions

Identify data issues, perform basic analysis, and develop solutions.

Create macros and coding necessary for analyses.

Provide timely, effective solutions to client issues and suggest new technical approaches.

Assess client exposure under litigation scenarios (class action, collective action, etc.).

Oversee and review work of analysts and junior statisticians, managing workload and delegating projects.

Communicate complex topics clearly in written and oral formats to attorneys and client contacts.

Develop methods and strategies to achieve project goals using diverse raw client data formats.

Collaborate with attorneys and analysts for analysis revisions during mediation proceedings.

Independently design and prepare data and analyses based on client and project needs.

Qualifications / Skills Required

Minimum two years of experience with Wage & Hour topics and data (time‑keeping and payroll) in a legal or HR context.

Direct experience with California Wage & Hour laws is a large plus.

Expert with Excel (VLOOKUP, SUMIFS, etc.) and ability to create dollar‑figure exposure estimates.

Experience with VBA, R, SQL, Python, or other statistical programs is a plus (R preferred).

Proficiency in linear and logistic regression modeling for large workforces is required.

Strong written and verbal communication skills with client HR and legal professionals at Fortune 500 companies.

Ability to write programs/macros to automate repetitive statistical and data tasks.

Critical thinking, problem‑solving, and strong organizational skills.

Multi‑tasking and managing multiple projects from start to finish.

Knowledge of R data‑wrangling methodologies (dplyr, tidyverse, lubridate).

Willingness to conform to standardized group practices.

Educational Requirements

Undergraduate degree in applied statistics, mathematics, econometrics, or a related field (or equivalent experience).

Compensation For Colorado, Chicago, and Washington, the expected salary range for this position is $80,000–$91,500. The position is eligible for annual bonuses. Compensation is determined based on experience and applicable factors.

Benefits

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

Applications The application deadline for this position is February 25, 2026.

EEO Statement 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.

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