drjobs Sr Data Scientist - Retail Experience Insight

Sr Data Scientist - Retail Experience Insight

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1 Vacancy
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Job Location drjobs

Bellevue - USA

Monthly Salary drjobs

$ 106000 - 191100

Vacancy

1 Vacancy

Job Description

At TMobile 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 wealthbuilding opportunities through our annual stock grant employee stock purchase plan 401(k) and access to free yearround money coaches. Thats how were UNSTOPPABLE for our employees!

TMobile is transforming the traditional retail experience from transactional interactions to inspiring journeys of discovery and connection. Were seeking an exceptional Senior Data Scientist to drive innovation through advanced analytics and machine learning while providing technical leadership to our data science team.

Job Overview
As Senior Data Scientist you will lead the application of machine learning techniques and statistical methods to solve complex business challenges. This role combines technical expertise with leadership responsibilities focusing on creating tangible business value through datadriven insights and innovations. Youll work at the intersection of retail transformation and advanced analytics helping shape the future of customer experience.

Technical Leadership

  • Lead the endtoend machine learning lifecycle from problem framing to deployment

  • Extract prepare and model large complex datasets using advanced ML techniques

  • Develop and implement sophisticated statistical models and machine learning algorithms

  • Guide the development and deployment of productionready models

  • Establish best practices for data science methodologies and workflows

Business Impact & Analytics

  • Transform complex data into actionable insights and recommendations

  • Deliver timely highquality analysis that enables intelligent business decisions

  • Create and implement metrics to measure model performance and business impact

  • Identify opportunities for applying ML solutions to business challenges

  • Drive innovation in retail analytics and customer experience optimization

Team Leadership & Collaboration

  • Provide technical mentorship and guidance to data science team members

  • Review projects models and code for peers and junior team members

  • Collaborate with engineering teams on ML pipeline implementation

  • Partner with crossfunctional stakeholders to align technical solutions with business needs

  • Communicate complex technical concepts to nontechnical audiences

Innovation & Development

  • Drive the adoption of cuttingedge ML techniques and tools

  • Lead research initiatives to explore new methodologies and applications

  • Contribute to the development of scalable productiongrade ML systems

  • Influence technical strategy and roadmap planning

  • Champion datadriven decision making across the organization

Education:

  • Bachelors Degree Quantitative Discipline (math statistics economics computer science physics engineering etc. (Required)

  • Masters/Advanced Degree Quantitative Discipline (math statistics economics computer science physics engineering) (Preferred)

Work Experience:

  • 47 years Industry experience in predictive modeling data science and analysis in an ML engineer or data scientist role building and deploying ML models or hands on experience developing deep learning models (Required)

  • 47 years Experience with data scripting languages (e.g. SQL Python R) (Required)

  • 24 years Experience with big data architecture and pipeline Hadoop Hive Spark Kafka etc. (Required)

  • 47 years Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data (Required)

  • 47 years Experience in data visualization (Required)

  • 47 years Experience working with relational database using SQL

  • 24 years Experience in the telecom industry (Preferred)

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 communication skills ability to work with cross 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: $106000 $191100

Corporate Bonus Target: 15

The pay range above is the general base pay range for a successful candidate in the role. The successful candidates 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 TMobile employees in regular nontemporary roles are eligible for an annual bonus or periodic sales incentive or bonus based on their role. Most Corporate employees are eligible for a yearend bonus based on company and/or individual performance and which is set at a percentage of the employees 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 TMobile 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 parttime 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 fulltime employees and about 2.5 weeks for new parttime employees annually paid parental and family leave family building benefits backup care enhanced family support childcare subsidy tuition assistance college coaching short and longterm disability voluntary AD&D coverage voluntary accident coverage voluntary life insurance voluntary disability insurance and voluntary longterm care insurance. We dont stop there eligible employees can also receive mobile service & home internet discounts pet insurance and access to commuter and transit programs! To learn about TMobiles amazing benefits check out.

Never stop growing!
As part of the TMobile team you know the Uncarrier doesnt have a corporate ladderits more like a jungle gym of possibilities! We love helping our employees grow in their careers because its that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity youre living our values while investing in your career growthand we applaud it. Youre unstoppable!

TMobile 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 Uncarrier. 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 or calling. Please note this contact channel is not a means to apply for or inquire about a position and we are unable to respond to nonaccommodation related requests.





Required Experience:

Senior IC

Employment Type

Full-Time

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