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The Broadband Business Intelligence team is responsible for partnering closely
with the broadband marketing and commercial teams to provide key, actionable
insights around the performance of the broadband business unit.We are seeking a candidate with experience in analyzing the commercial impacts
of marketing strategies and tactics. The ideal candidate should have a
curiosity for digging into detailed data to investigate the implications of
marketing tactics, commercial tactics, and customer experience impacts,
with the intent of surfacing insights to key leaders.As a Senior Data Scientist, you are responsible for leading the application
of 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 demonstrate expertise across problem
framing, data collection, exploratory data analysis, model
development, deployment, and performance measurement. Present advanced
business insights and findings in succinct and creative ways using data
visualizations for a broad audience, including executive level communication
(VThis is a hybrid position required to be working in-office at least 3 days a
week.Job Responsibilities:Extract, prepare and model large, complex data sets using a combination of
skills, including machine learning theory, mathematics, statistics,
and programming.Deliver on-time quality analysis, interpretation, and synthesis of data
into effective, concise, and actionable recommendations that enable
intelligent decisioning for the company.Provide senior-level guidance and mentorship to the team, including
reviewing projects, models, and code for peers in data science roles and
those in analyst roles.Work with data engineering teams to implement and improve production-ready
analytical datasets.Effectively communicate important information and insights to business leaders
using verbal, written, and data visualization skills.Qualifications:Bachelor's degree in Quantitative Discipline (math, statistics,
economics, computer science, physics, engineering, etc.);
Master's/Advanced degree preferred.4 years with data scripting languages (e.g., SQL, Python, R)2 years with big data architecture and pipeline, Hadoop, Hive, Spark,
Kafka, etc.4 years articulating and translating business questions and using statistical
techniques to arrive at an answer using available data4 years creating data visualization4 years working with relational database using SQL2 years in the telecom/broadband industry preferredStrong communication skills, ability to work with cross functional teamsAt least 18 years of ageLegally authorized to work in the United States
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 Car 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, For full info follow application link.EOE Statement