Senior People Scientist

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Job Overview

The Sr People Scientist is responsible for supplying to the development of an enterprise-wide people science vision and research science roadmap for T-Mobile. This role involves identifying and addressing sophisticated business problems related to employee experience, talent, and organizational capability/efficiency. The Sr People Scientist will own and complete end-to-end research science projects as a part of long-term planning for developing and integrating diverse data sources for complex modeling and support scalable processes for large-scale data analysis and AI/ML model development. This position requires the application of meticulous scientific and detailed methods, including hypothesis testing, data collection, quantitative analysis, and interpretation using sophisticated statistical techniques to provide insights for key business partners.

Job Responsibilities:

• Support the vision and research science roadmap in collaboration with the HR leadership team and senior leadership partners
• Collaborate in identifying and addressing large-scale, sophisticated business problems related to employee experience, talent, and organizational capability.
• Drive the development and integration of diverse and complex data sources for advanced and sophisticated qualitative and quantitative modeling.
• Contribute to maintaining high standards in research science, including supporting the mentoring and development of team members.
• Develop and implement network analytics, AI/ML, and Deep Learning models to analyze sophisticated datasets and support innovation in people science.
• 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 T-Mobile people strategy; evaluate research initiatives to provide bottom line value, return on investment and improvements.
• Translate technical research findings into clear, concise, and engaging reports that support decisions and applications across the employee lifecycle
• 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.
  
  
  

Education:

• Bachelor's Degree Quantitative Subject area (math, statistics, economics, computer science, physics, engineering) (Required)
• Master's/Advanced Degree Quantitative Subject area (I-O Psychology; Behavioral Economics; Applied Social Psychology w/emphases on research science and advanced statistics) (Preferred)
• Doctorate Quantitative Discipline (I-O Psychology; Behavioral Economics; Applied Social Psychology w/emphases on research science and advanced statistics) (Preferred)
  
  
  

Work Experience:

• 7-10 years Research science or related experience (Required)
• Proven experience with Gen AI for foundational models and LLM and demonstrating for analytics. (Required)
• 4-7 years Combination of deep technical skills and business savvy to interface and influence all levels and fields. (Required)
• 7-10 years Strong interpersonal skills to optimally advocate technical solutions to business audiences, HR executives, and tech teams. (Required)
• 4-7 years Familiar with one or more program languages such as Python, C#/C , Java, or Perl (Preferred)
• Demonstrated ability building and deploying true and quasi-experimental research designs that pragmatically land with the business. (Required)
• 4-7 years Proven experience in predictive modeling, network analysis, building and deploying AI/ML models and hands on experience developing deep learning models (Required)
• 4-7 years Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations (Required)
• 4-7 years Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data (Required)
• 4-7 years Experience with statistical methods and sophisticated modeling techniques. For example- SVM, Random Forest, graph models, Bayesian inference, NLP, Computer Vision, neural networks (Required)
• Demonstrated ability with data scripting languages (e.g., SQL, Python, R) (Required)
• Proven experience in data visualization (Required)
• 4-7 years Extended experience working with relational database using SQL (Required)
• 2-4 years Experience in tech industry (Preferred)
  
  
  

Knowledge, Skills and Abilities:

• Strategic Planning Ability to build a long-term roadmap and 12 month plans (Required)
• Executive Communications Skills in presenting effectively to Director and above leaders and influencing executive partners (Required)
• Analytics Skill in analyzing passive and active network data (Required)
• Design Research Knowledge and skills for crafting A/B tests and quasi-experimental designs (Required)
• Mathematics Calculus, linear algebra, statistics, and probability (Required)
• Programming Proficiency in Python and SQL (Preferred)
• Machine Learning: Apply machine learning techniques including supervised and unsupervised learning; collaborative filtering; and artificial neural networks (Required)
• Deep Learning: Research, design, implement, evaluate, and optimize novel algorithms/models in Deep Learning space (Required)
• Communication Outstanding communication skills, ability to work with cross functional teams (Required)
• Licenses and Certifications:
• At least 18 years of age
• Legally authorized to work in the United States
  
  
  

Travel:

Travel Required (Yes/No):Yes

DOT Regulated:

DOT Regulated Position (Yes/No):No

Safety Sensitive Position (Yes/No):No

Base Pay Range: $127,700 - $230,300

Corporate Bonus Target: 20%

The pay range above is the general base pay range for a successful candidate in the role. The successful candidate’s actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within 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. To find the pay range for this role based on hiring location, copy and paste this link into your browser: https://paylookup.t-mobile.com/paylookup?reqID=REQ303648

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 12 paid 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 also 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 www.t-mobilebenefits.com.

Never stop growing!

As part of the T-Mobile team, you know the Un-carrier 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. By applying for this career opportunity, you’re living our values while investing in your career growth–and we applaud it. You’re unstoppable!

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 ApplicantAccommodation@t-mobile.com or calling 1-844-873-9500. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.