Associate Data Scientist jobs in United States
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T-Mobile · 1 day ago

Associate Data Scientist

T-Mobile is investing in its employees with a comprehensive Total Rewards Package. They are seeking an Associate Data Scientist responsible for applying statistical, advanced analytics, machine learning, and AI techniques to solve business problems and collaborate with various teams to drive impactful business outcomes.

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H1B Sponsor Likelynote

Responsibilities

Develop sophisticated analytical solutions to tackle business problems; pre-process and perform exploratory data analysis on structured and unstructured data; build features based on expertise in the domain; use predictive modeling techniques and statistical analysis to predict outcomes and behaviors
Support business partners and product owners to understand business challenges, develop cases, capture requirements, co-create solutions that drive business change that tackle the challenges and deliver impactful business outcomes
Support teams’ mission to partner with leaders across T-Mobile to understand the “art of the possible” and identify AI/ML opportunities to grow our business, reduce costs, handle risk, detect anomalous behavior, forecast/predict outcomes, and delight our customers
Collaborate with cross-functional team comprised of other data scientists, data engineers, ML engineers, and data analysts
Leverage the Agile methodology to ensure alignment of data science roadmap, features, and stories to business priorities and value streams
Also responsible for other Duties/Projects as assigned by business management as needed

Qualification

Predictive modelingMachine learningData sciencePythonSQLData visualizationAgile methodologyAnalytical thinkingBasic calculusLinear algebraStatisticsProbabilityAI techniquesCommunication skillsCritical thinking

Required

1+ yrs academic and/or professional experience in predictive modeling, data science, machine learning, advanced analytics, and AI in a Data scientist role, ML Scientist, or Deep learning scientist role
2 yrs experience with Python, SQL, and visualization
Basic calculus, linear algebra, statistics, and probability
Proven understanding of machine learning concepts and techniques related to supervised and unsupervised learning
Familiarity with Agile Methodology
Good communication skills coupled with analytical and critical thinking skills
Bachelor's Degree in a Quantitative Field (math, statistics, analytics, data science, economics, computer science, physics, engineering)
At least 18 years of age
Legally authorized to work in the United States

Preferred

Certified Analytics Professional (CAP)
Cloudera Data Platform Generalist Certification
Data Science Council of America (DASCA) Senior Data Scientist (SDS)
Data Science Council of America (DASCA) Principal Data Scientist (PDS)
Azure Data Scientist Associate: Data Scientist

Benefits

Medical, dental and vision insurance
Flexible spending account
401(k)
Employee stock grants
Employee stock purchase plan
Paid time off
Up to 12 paid holidays
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
Voluntary long-term care insurance
Mobile service & home internet discounts
Pet insurance
Access to commuter and transit programs

Company

T-Mobile

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T-Mobile is a telecommunications company that provides wireless communication services, including mobile phone and internet services. It is a sub-organization of Deutsche Telekom.

H1B Sponsorship

T-Mobile has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (533)
2024 (457)
2023 (433)
2022 (674)
2021 (522)
2020 (320)

Funding

Current Stage
Public Company
Total Funding
$25.37B
2026-01-06Post Ipo Debt· $10B
2025-10-06Post Ipo Debt· $2.8B
2024-09-23Post Ipo Debt· $2.5B

Leadership Team

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John Saw
President of Technology, Chief Technology Officer
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Peter Osvaldik
EVP & CFO
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Company data provided by crunchbase