Data Scientist: Drive Business Impact with ML

Comunidade Metodista; Frisco (TX); On-site; USD 86,000 - 156,000; Full time

Benefits offered by this job

Annual stock grant

Employee stock purchase plan

401(k)

Bonuses

Paid time off

Job summary

T-Mobile USA, Inc. in Frisco, TX is seeking a Data Scientist to apply ML and statistical methods to business problems across a full ML lifecycle, from problem framing to deployment and measurement.

You will collaborate with a cross-functional team and contribute to solutions that drive real business value while embracing agile practices and a culture of transparency. Compensation includes a competitive base salary, annual stock grants, and a holistic Total Rewards package.

Qualifications

• 2+ years proven experience in predictive modeling, data science, and analysis in an ML engineer or data scientist role.
• 2+ years experience with data scripting languages (SQL, Python, R), data visualization, and developing statistics-based analytics reports.
• Mathematics calculus, linear algebra, statistics, and probability.
• Proven understanding of Python and SQL coupled with machine learning concepts.

Responsibilities

• Extract, prepare and model large, sophisticated data sets using a combination of skills, including machine learning theory, mathematics, statistics, and programming.
• Perform analytics and statistical analyses on ad hoc business problems.
• Demonstrated ability to define problems in mathematical terms.
• Communicate important information and insights to business leaders using verbal, written, and data visualization skills.

Skills

Predictive modeling

SQL

Python

R

Data visualization

Statistics

Education

Bachelor's Degree in a Quantitative Field

Job description

T-Mobile USA, Inc. in Frisco, TX is seeking a Data Scientist to apply ML and statistical methods to business problems across a full ML lifecycle, from problem framing to deployment and measurement.

You will collaborate with a cross-functional team and contribute to solutions that drive real business value while embracing agile practices and a culture of transparency. Compensation includes a competitive base salary, annual stock grants, and a holistic Total Rewards package.