Job Description
Full job description
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!
Position summary
T-Mobile is America’s supercharged Un-carrier, delivering an advanced 4G LTE and transformative nationwide 5G network that will offer reliable connectivity for all. Data Scientists located in Bellevue, WA will develop, enhance, and operationalize the key statistical models to understand economics drivers and identify anomalies in business performances.
Position duties and responsibilities include, but are not limited to:
Gather, cleanse and analyze data, build mathematical models, and develop solutions for strategic enterprise level problems.
Perform exploratory analysis to determine key business trends and correlations.
Apply predictive analytics to build optimization models with minimal oversight.
Apply statistical methodologies to large, complex data sets.
Build projections/forecasts and articulating the methods, formulas, and assumptions.
Build mathematical models that support business efficiency initiatives.
Explain complex formulas to others who may not be experts in mathematics/ statistics.
Communicate findings in a business context to stakeholders at various business and technical skill levels.
Apply statistical techniques and mathematical skills to assess the financial and operational impacts to the business at an enterprise level.
Aid in data-driven decision making paired with forward-thinking business and industry trends.
Participate in and prepare for sessions to identify the action-oriented hypotheses.
Create executive-level presentations and present complex analytics in a clear and concise manner.
Telecommuting is permitted, but applicants must live within a reasonable commuting distance.
Skill requirements:
(1) Performing Quantitative analysis to identify drivers of change and create monthly and weekly dashboards to track historical performance trends.
(2) Mining customer data in Teradata by writing SQL queries and analyzing and generating insights with statistical computer languages including R and SAS programming.
(3) Conducting time-series analysis including autoregressive, moving average, and exponential smoothing to forecast short-term and long-term business metrics including activation volume and disconnect volume, and building financial models to assess Return on Investment and Net Present Value.
(4) Creating statistical models for customer lifetime value, churn and customer segmentation using machine learning techniques such as Logistic Regression, and Random Forest, to understand business drivers and identify pricing optimization opportunities.
(5) Evaluating new marketing initiatives efficiency leveraging control and test groups with proficiency in SQL join statements, subqueries, and volatile tables in Teradata database, as well as manipulating large datasets with Excel Power Pivot/VBA/R/Python/SAS.
Experience and education requirements:
PRIMARY REQUIREMENTS:
Master’s degree in Statistics, Math, Economics or related, and 1 years of relevant work experience.
ALTERNATIVE REQUIREMENTS:
Bachelor’s degree in Statistics, Math, Economics or related, and 3 years of relevant work experience.
Additional:
Location: Bellevue, WA
This position is eligible for the employee referral program.
How to apply:
Visit www.tmobile.jobs.
Create a candidate profile, and apply to REQ1+2+71.
OTHER:
• Work hours: 40 hours/week.
At least 18 years of age
Legally authorized to work in the United States
Travel:
Travel Required (Yes/No):No
DOT Regulated:
DOT Regulated Position (Yes/No):No
Safety Sensitive Position (Yes/No):No
T-Mobile's Commitment
Base Pay Range: $86,300 - $155,700
Corporate Bonus Target: 15%
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, click here.
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, ****** 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.
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!
Position summary
T-Mobile is America’s supercharged Un-carrier, delivering an advanced 4G LTE and transformative nationwide 5G network that will offer reliable connectivity for all. Data Scientists located in Bellevue, WA will develop, enhance, and operationalize the key statistical models to understand economics drivers and identify anomalies in business performances.
Position duties and responsibilities include, but are not limited to:
Gather, cleanse and analyze data, build mathematical models, and develop solutions for strategic enterprise level problems.
Perform exploratory analysis to determine key business trends and correlations.
Apply predictive analytics to build optimization models with minimal oversight.
Apply statistical methodologies to large, complex data sets.
Build projections/forecasts and articulating the methods, formulas, and assumptions.
Build mathematical models that support business efficiency initiatives.
Explain complex formulas to others who may not be experts in mathematics/ statistics.
Communicate findings in a business context to stakeholders at various business and technical skill levels.
Apply statistical techniques and mathematical skills to assess the financial and operational impacts to the business at an enterprise level.
Aid in data-driven decision making paired with forward-thinking business and industry trends.
Participate in and prepare for sessions to identify the action-oriented hypotheses.
Create executive-level presentations and present complex analytics in a clear and concise manner.
Telecommuting is permitted, but applicants must live within a reasonable commuting distance.
Skill requirements:
(1) Performing Quantitative analysis to identify drivers of change and create monthly and weekly dashboards to track historical performance trends.
(2) Mining customer data in Teradata by writing SQL queries and analyzing and generating insights with statistical computer languages including R and SAS programming.
(3) Conducting time-series analysis including autoregressive, moving average, and exponential smoothing to forecast short-term and long-term business metrics including activation volume and disconnect volume, and building financial models to assess Return on Investment and Net Present Value.
(4) Creating statistical models for customer lifetime value, churn and customer segmentation using machine learning techniques such as Logistic Regression, and Random Forest, to understand business drivers and identify pricing optimization opportunities.
(5) Evaluating new marketing initiatives efficiency leveraging control and test groups with proficiency in SQL join statements, subqueries, and volatile tables in Teradata database, as well as manipulating large datasets with Excel Power Pivot/VBA/R/Python/SAS.
Experience and education requirements:
PRIMARY REQUIREMENTS:
Master’s degree in Statistics, Math, Economics or related, and 1 years of relevant work experience.
ALTERNATIVE REQUIREMENTS:
Bachelor’s degree in Statistics, Math, Economics or related, and 3 years of relevant work experience.
Additional:
Location: Bellevue, WA
This position is eligible for the employee referral program.
How to apply:
Visit www.tmobile.jobs.
Create a candidate profile, and apply to REQ1+2+71.
OTHER:
• Work hours: 40 hours/week.
At least 18 years of age
Legally authorized to work in the United States
Travel:
Travel Required (Yes/No):No
DOT Regulated:
DOT Regulated Position (Yes/No):No
Safety Sensitive Position (Yes/No):No
T-Mobile's Commitment
Base Pay Range: $86,300 - $155,700
Corporate Bonus Target: 15%
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, click here.
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, ****** 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.
💡 Quick Summary
Seeking a career-building opportunity? The Data Scientist position is now open for candidates interested in the Work from home Jobs sector. This role in Bellevue offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Work from home Jobs is a plus.
