Data Scientist
T-Mobile
Job Description
About the Role
At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That's how we're UNSTOPPABLE for our employees! As a Data Scientist, you are responsible for applying machine learning techniques and statistical methods to solve business problems. You will collaborate with a multi-disciplinary team of technical and non-technical business stakeholders on a wide range of challenges. You must be able to work across the entire machine learning (ML) lifecycle, including problem framing, data collection, exploratory data analysis, model development, deployment, and performance measurement. Paramount to this job is the understanding that a Data Scientist's ultimate goal is to create real business value from data.
Key Responsibilities
- Extract, prepare and model large, complex data sets using a combination of skills, including machine learning theory, mathematics, statistics, and programming.
- Perform data mining and statistical analyses on ad hoc business problems.
- Define problems in mathematical terms, such as analyzing underperforming product features or user behavior data.
- Communicate important information and insights to business leaders using verbal, written, and data visualization skills.
Requirements
- Bachelor's Degree in a Quantitative Discipline (math, statistics, economics, computer science, physics, engineering).
- 2-4 years industry experience in predictive modeling, data science, and analysis in an ML engineer or data scientist role.
- Experience with data scripting languages such as SQL, Python, or R.
- Experience in data visualization.
- Mathematics knowledge including calculus, linear algebra, statistics, and probability.
- Working knowledge of Python and SQL.
- Solid understanding of machine learning concepts and techniques related to supervised and unsupervised learning.
- Legally authorized to work in the United States.
- At least 18 years of age.
Nice to Have
- Master's or Advanced Degree in a Quantitative Discipline.
- Experience developing statistics-based analytics reports.
- Experience in the telecom industry.
Qualifications
- Bachelor's Degree in a Quantitative Discipline.
Benefits & Perks
- Competitive base salary and compensation package.
- Annual stock grant, employee stock purchase plan, and 401(k).
- Access to free, year-round money coaches.
- Medical, dental, and vision insurance.
- Flexible spending account, paid time off, and up to 12 paid holidays.
- Paid parental and family leave, family building benefits, back-up care, childcare subsidy, tuition assistance, college coaching.
- Disability, voluntary AD&D, accident, life, and long-term care insurance.
- Mobile service & home internet discounts, pet insurance, commuter and transit programs.
Working at T-Mobile
At T-Mobile, we foster a culture of growth and shared drive to aim high. We value diversity and inclusion, and support our employees' career development. Our culture emphasizes being unstoppable, innovative, and collaborative, with a focus on caring for one another and creating real business value from data.
Job Details
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About T-Mobile
Website
t-mobile.com
Company Size
10000+ employees
Location
Frisco, TX
Industry
Wired and Wireless Telecommunications Carriers (except Satellite)
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