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Senior Data Scientist

3 months ago

Bellevue, United States Disability Solutions Full time
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

Job Overview

This position is not eligible to sponsor an immigration visa. This is a hybrid role that must be in the Bellevue WA office 3 days per week.

Advertising, meet the Un-carrier. T-Mobile Advertising Solutions (T-Ads) is standing up for Consumers and Advertisers to redefine an industry. Again. Ever feel like relevant, engaging, and safe advertising is an impossible ask? We are working to change that by building an advertising platform that allows brands and advertising agencies to engage real audiences with a customer centric, privacy first approach. T-Ads is a small, fast paced team of master generalists.

The T-Ads data science team builds data products for T-Ads. Our projects range from crafting ML models to predict demographics or app engagement to large data aggregations to generate app insights to custom analyses on unique first party data. Members of our team are ready to apply the latest modeling techniques, advanced statistics and math and data manipulation to any complex problem thrown our way. We are looking for team members who can critically analyze a problem, collaborate with product management to find a solution, and lead the delivery of that solution to the end customer. 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 build real business value from data. This is an opportunity to work on multiple products used by a variety of end users such as the major advertising agencies and brands in the United States.

Job Responsibilities:
  • Lead data science projects independently by identifying and planning work, making basic project decisions and resolving issues.
  • Provide senior-level guidance and mentorship to the data science team, including reviewing projects, models, and code for peers and junior team members.
  • Communicate optimally with a technical and non-technical audience using verbal, written, and data visualization skills.
  • Work with the business to understand real-world, vague or sophisticated business problems and translate them into machine learning or data aggregation problems and tackle them by crafting efficient data products.
  • Liaise with data source owners to understand available datasets and identify valuable data sources for business problems. Collaborate with cross-functional team comprised of other data scientists, data engineers, ML engineers, and data analysts to craft and deploy products.
  • Clean, validate and pre-process structured and unstructured data from multiple, sophisticated datasets.
  • Perform exploratory data analysis (EDA) and custom analysis on sophisticated datasets using advanced statistics and math.
  • Build sophisticated data aggregations that persist in data stores that meet statistical significance thresholds and are debiased and scaled according to business requirements.
  • Design, develop, deploy, monitor and maintain scalable data pipelines required to support derivative datasets used in data products.
  • Design, feature engineer, train, tune and test ML models to solve sophisticated data problems including predicting outcomes using the latest ML libraries and tools.
  • Design, develop, deploy, monitor, retrain and maintain ML pipelines that support ML models built for data products.
  • Train ML models and manipulate large datasets using big data platforms like Spark and cloud-based services like AWS.
  • Work with engineering teams to implement and improve machine learning pipelines and production-ready models.
  • Build and implement best practices for analytics, modeling and coding.
  • Also responsible for other Duties/Projects as assigned by business management as needed.


Education:
  • Bachelor's Degree Quantitative Discipline (math, statistics, economics, computer science, physics, engineering, etc.) (Required)
  • Master's/Advanced Degree Quantitative Discipline (math, statistics, economics, computer science, physics, engineering) (Preferred)


Work Experience:
  • 4-7 years experience applying machine learning (including deep learning) concepts and techniques related to supervised and unsupervised learning.
  • 4-7 years experience with statistical methods and advanced analytics techniques.
  • 4-7 years experience deploying ML models or sophisticated data products.
  • 4-7 years experience with common data science languages like Python and ML toolkits.
  • 4-7 years experience working with database query languages like SQL.
  • 4-7 years experience with big data architecture like Hadoop, Hive, Spark, Kafka, etc.
  • 4-7 years experience in data visualization.
  • 4-7 years experience articulating and translating sophisticated business problems into machine learning or data aggregation problems and solving them by crafting optimal data products.
  • 4-7 years experience writing and speaking about technical data science concepts to business and technical audiences and giving data-driven presentations.


Knowledge, Skills and Abilities:
  • Mathematics Calculus, linear algebra, statistics, and probability (Required)
  • Programming Expertise in Python and SQL (Required)
  • Machine Learning: Expertise applying machine learning concepts and techniques related to supervised and unsupervised learning (Required)
  • Communication Strong interpersonal skills, ability to work with multi-functional teams


• 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

Base Pay Range: $106,000 - $191,100

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, 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.