Director, People Sciences

Be unstoppable with us!

T-Mobile is synonymous with innovation and you could be part of the team that disrupted an entire industry! We reinvented customer service, brought real 5G to the nation, and now we’re shaping the future of technology in wireless and beyond.

Our work is as exciting as it is rewarding, so consider the career opportunity below as your invitation to grow with us, make big things happen with us, above all, #BEYOU with us.

Together, we won’t stop!

The Director, People Sciences is responsible for developing an enterprise wide people sciences vision and research science roadmap for T-Mobile, working with senior HR leadership and aligning with senior leadership partners.

The role also includes setting high standards in research science, mentoring and developing team members, and actively recruiting new research scientists.

The role requires studying and surfacing enterprise wide business and people related phenomenon using systematic methods of hypothesis testing, data collection, quantitatively analyzing / interpreting data using sophisticated statistical techniques, and delivering technical and business facing reports to answer key questions of interest.

The Director, People Sciences leads research design, sampling, technical analysis, insights delivery, and post hoc measurement of critical research experiments, pilots, and programs that are focused on evaluating specific, testable hypotheses.

• There is an expectation of diving deep to identify the underlying root cause of a business problem; demonstrating strong scientific judgment;
• identifying technical, program, and / or solutions trade-offs; effectively translating technical methods and deep insights into simple solutions / actions / behaviors that can be easily deployed;

and delivering measurable impact by integrating scientific insights (that have been statistically validated and are technically bar raising) into scalable T-Mobile wide tools, programs, products, and mechanisms to advance the overall T-Mobile People Strategy.

This role will require thinking big and executing on cutting-edge network analytics, ML / AI, and Deep Learning models to analyze sophisticated datasets and innovate in people sciences.

While research science roles overlap with work done by data scientists, research science is a distinct practice with a unique focus on hypothesis testing and explain-ability of research insights and working towards scalable and pragmatic enterprise wide solutions.

Hybrid role based in Bellevue, WA or Overland Park, KS.

Un-carrier® Responsibilities

Develop a vision, 3-year plan, and 12-month research science roadmap working across the senior HR leadership team and aligning with senior leadership partners;

build and deploy mechanisms for reviewing roadmap, goals, and trade-off decisions with executive collaborators.

Proactively identify and solve T-Mobile enterprise-wide large-scale complex, undefined employee experience, talent, and organizational capability business problems and deliver research science plans and solutions with minimal guidance.

Build and execute on long-term plans for developing and integrating a diverse and sophisticated set of active and passive data sources to be used for qualitative and quantitative modeling;

implement scalable and automated processes for large-scale data analysis, AI / ML model development, validation, and deployment.

Set and maintain the high bar standards in research science across the T-Mobile HR people sciences team, which includes mentoring, sharing expertise and developing team members, publishing research science findings, and actively recruiting new people science research scientists.

Develop and implement innovative network analytics, AI / ML and Deep Learning models to analyze datasets to innovate in people sciences and enable evaluation of causal impact.

Build and run true A / B and quasi-experimental designs to assess the impact of mechanisms, programs, and various tested solutions that align to the overall people strategy;

evaluate research initiatives to provide bottom line value, return on investment and improvements.

Translate technical research findings in to clear, concise, and engaging reporting narratives and presentations that lead to decisions and large-scale applications across the employee lifecycle;

use findings across multiple science studies to influence the long-term T-Mobile People Strategy.

Collaborate with multiple teams and account teams to influence, build consensus, and drive significant T-Mobile wide changes related to applying research science proposals and recommendations, including changes to programs, engineering and system needs, and people strategy roadmaps.

The Experience You’ll Bring

10+ years of experience with end-to-end ownership for building and driving science strategy, roadmap development, and business accountability mechanisms for MBR, QBR, and program reviews (Required)

4-7 years of experience setting high standards for people sciences, coaching and mentoring others against those standards, and hiring high-bar research scientists (Required)

1-3 years of experience with Gen AI for foundational models and LLM and leveraging for analytics (Required)

10+ years combined experience of deep technical skills and business savvy to interface and influence all levels and subject areas (Required)

Proven track record advocating technical solutions to business audiences, HR executives, and tech teams (Required)

Familiar with one or more program languages such as Python, C# / C+, Java, or Perl (Preferred)

Experience building and deploying true and quasi-experimental research designs that pragmatically land with the business (Required)

Validated experience in predictive modeling, network analysis, building and deploying AI / ML models and hands on experience developing deep learning models (Required)

Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations (Required)

Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data (Required)

Experience with statistical methods and sophisticated modeling techniques. For example : SVM, Random Forest, graph models, Bayesian inference, NLP, Computer Vision, neural networks (Required)

Experience with data scripting languages (e.g., SQL, Python, R) (Required)

Experience in data visualization (Required)

Extended experience working with relational database using SQL (Required)

Bachelor's Degree in Math, Statistics, Economics, Computer Science, Physics, or Engineering (Required)

Master’s Degree in I-O Psychology, Economics, or Applied Psychology w / emphases on research science and advanced statistics (Required)

• At least 18 years of age
• Legally authorized to work in the United States

Travel :

Travel Required (Yes / No) : Yes, up to 10% domestic travel based on business needs.

DOT Regulated :

DOT Regulated Position (Yes / No) : No

Safety Sensitive Position (Yes / No) : No

LI-RMS

Washington Pay Range : $179,900.00 - $243,500.00The pay range above is the general base pay range for a successful candidate in the state listed.

The successful candidate’s actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay may be above or below this range.

At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role.

Most Corporate employees are eligible for a year-end bonus based on company and / or individual performance and which is set at a percentage of the employee’s eligible earnings in the prior year.

Certain positions in Customer Care are eligible for monthly bonuses based on individual and / or team performance, while Retail and Business Sales roles are eligible for monthly or quarterly sales incentives.

And since we are ALL owners, EVERY employee at T-Mobile is eligible for an Annual Stock Grant.

At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members.

Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to paid 12 holidays - which total about 4 weeks for new full-time employees and about 2.

5 weeks for new part-time employees annually - paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short and long term disability, voluntary AD&D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance.

We don't stop there- eligible employees can receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile’s amazing benefits, check out .

Never stop growing!

T-Mobile doesn’t have a corporate ladder it’s more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it’s that shared drive to aim high that drives our business and our culture forward.

T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law.

Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.

Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing