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Lead Statistician

Jacksonlewis Open
Hybrid New York AtlantaAustin +6 Full-time Senior Data Science

At a glance

Senior Data Science role at Jacksonlewis. New York · full-time.

SalaryStated by Jacksonlewis

Jacksonlewis states pay in the role description below.

RoleData Science
SenioritySenior
LocationNew York
WorkplaceHybrid
EmploymentFull-time
PostedAug 10, 2026
Also hiring inAtlanta, Austin, Boston, Chicago +4
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Serve as the main point of contact for attorneys, clients and the team manager as project plans take shape
  • Analyze timekeeping and payroll data to estimate client exposure under different wage-and-hour litigation scenarios
  • Lead several projects from data intake through final analysis, while directing statisticians’ work and checking its quality
  • Explain findings and methods clearly, including revisions made with attorneys during mediation
  • Improve the team’s data tools through process automation, and help train and develop the statisticians you oversee

What you bring

  • At least seven years working directly with wage-and-hour topics and data, especially payroll and timekeeping records
  • A master’s in applied statistics, mathematics, econometrics or a related area, or equivalent experience or training
  • Expert ability with R or Python and Excel, including automating recurring statistical and data work
  • A record of leading analytics projects independently, managing competing priorities and reviewing others’ work
  • You can explain technical findings to non-technical stakeholders and turn results into useful guidance for counsel

Who this fits

This senior role suits someone who can lead analysis independently while overseeing statisticians and working closely with attorneys and clients. The position is based in New York and is hybrid.

From the employer

Focused on employment and labor law since 1958, Jackson Lewis P.C.’s 1,000+ attorneys located in major cities nationwide consistently identify and respond to new ways workplace law intersects business. We help employers develop proactive strategies, strong policies and business-oriented solutions to cultivate high-functioning workforces that are engaged and stable, and share our clients’ goals to emphasize belonging and respect for the contributions of every employee.

The Firm is ranked in the First Tier nationally in the category of Labor and Employment Litigation, as well as in both Employment Law and Labor Law on behalf of Management, in the U.S. News - Best Lawyers® “Best Law Firms”.

Job Summary

The Lead Statistician role in the Wage & Hour Data Analytics group provides support on various projects,

including but not limited to, single plaintiff, class action, collective action, and DOL audit client exposure

analyses, largely based on client timekeeping and payroll data. This individual will work autonomously to

handle complex attorney/client issues, oversee the work of analysts and more statisticians.

Essential Functions

• Work as the primary contact of attorneys, clients, and team manager to determine strategies on

projects involving but not limited to class action data analytics, Practice Group initiatives, and

marketing efforts.

• Assess client exposure under various litigation scenarios – class action, collective action, etc.

using appropriate coding and analytical methods for different data types and legal statutes as an

individual contributor.

• Oversee the work of 2-3 statisticians such that their work is completed on time, accurately, and

with appropriate quality-control processes.

• Ensure the quality work product of assigned statisticians.

• Act as teacher and role model for technical and behavioral skills required for long term success

with Jackson Lewis analytics team.

• Collaborate with attorneys and statisticians on analysis revisions, often on-the-fly during

mediation proceedings.

• Provide clear and concise communications regarding the analysis processes and results – both

written and oral – to attorneys and client contacts, with the ability to explain complex topics in

an easy-to-understand manner.

• Develop strong and effective relationships with attorneys and clients

• Execute assigned tasks in a self-directed, proactive manner, while actively managing own time

and quality of work.• Expand scope of data tools employed by analysis team, including internal business capture and

process automation.

• Lead multiple projects simultaneously from data intake and methodology development to

analysis completion for their own direct work and team members who they are overseeing.

• Collaborate with team manager to support the hiring, training, and development of their 2-3

team members holistically across cases.

• Serve as an ambassador for the W&H Team, assisting team members/attorneys/clients outside

of the primary statisticians that they oversee.

Qualifications/Skills Required

• Minimum seven years of data experience directly working with Wage & Hour topics and data

(timekeeping and payroll data especially), preferably within a legal or HR context.

• Direct experience with California Wage & Hour topics and data (timekeeping and payroll data

especially), a large plus.

• Experience leading data analytics projects independently from inception through completion.

• Experience with project management and balancing multiple competing priorities.

• Experience overseeing others with a focus on quality-control and code reviews.

• Expert working knowledge of R or Python as well as expert working knowledge of Excel to write

programs to automate repetitive statistical and data tasks.

• Experience building relationships with senior stakeholders and communicating technical topics

to non-technical stakeholders.

• Ability to interpret results to provide meaningful recommendations to counsel regarding

potential legal strategies resulting from analysis findings.

• Experience with implementing process improvements a plus.

• Willingness to conform to standardized group practices.

Educational Requirements

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

For the DC region, New York and Seattle area the expected salary range for this position is between $124,600 and $149,625. This position is also eligible for annual bonuses. The actual compensation will be determined based on experience and other factors permitted by law.

Jackson Lewis offers a competitive benefits package that includes:

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

For the Boston, Chicago, and Denver area the expected salary range for this position is between $107,500 and $136,080. This position is also eligible for annual bonuses. The actual compensation will be determined based on experience and other factors permitted by law.

Jackson Lewis offers a competitive benefits package that includes:

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

This job will be posted on 8/6/2026 and we anticipate it will remain open for at least 30 days.

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.

Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Science

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.