Sr Data Scientist - Enterprise Data Solutions at T-Mobile (Bellevue, WA)
The Enterprise Data Solutions (EDS) IT team is looking for a technology Data Scientist to deliver advanced analytics. This role is focused on Advanced Analytics, Artificial Intelligence & data science delivery for Cognitive Services across all T-Mobile business functions. Sr. Data Scientist will partner with numerous business teams to collaborate, test hypothesis, build proof of concepts and turn data into actionable insights, driving ROI for T-Mobile through identification of value drivers. This role in Cognitive Intelligence & Platform Services group within EDS, will drive adoption of emerging advanced analytics tools, IOT, methods to deliver Cognitive Intelligence/Analytics services. The Senior Data Scientist is a knowledgeable leader, ability to lead partners, passionate about data engineering, optimizing analytics, Machine learning, Artificial Intelligence sharing knowledge with extended community. Sr. Data Scientist will support the analytics vision enabling Business partners adopt data science, machine learning to create value for T-Mobile and our customers. In addition this role will work closely with Machine Learning Engineers to create AI driven products.
Requires competency in customer focus, collaboration, innovation, strategic thinking, relationship building & influencing, inspirational leadership.
Data Exploration: studying new data sources and finding Insights and correlation on how it can be used in the day to day business needs. It also involves providing suggestion on how to utilize the data and how to correlate with different data sources.
Proof of Concept and Prototyping: performing proof of concept with a sample set of data. Once a proof of concept is successful, use learnings to drive consensus for larger project.
Business & Data Analytics: studying the available data, performing machine learning algorithms and post processing, to come up with meaningful insights for identification of value drivers to improve business offering. By using customer sat scores, customer activities, digital footprint analysis, social & media analysis.
Data Science & Statistical Modeling: This involves extracting and cleansing data from multiple sources, In-depth analysis and data visualization using SQL, R, Python, Spark, etc. (not exhaustive) to answer business questions, accurate data and findings per the agreed upon metric definitions, including SQL & relational data models along with basic data load capabilities.
Analyzes an organization's big data to discover actionable trends that lead to business results. Look at what questions business people need to ask to remain competitive.
Understand organization data
Ability to correctly frame a problem and come up with a hypothesis
Ability to recognize appropriate analytics technique to use for the data and business problem
Build and diagnose models and interpret analytic insights for business users
Generates highly novel ideas (theoretical or experimental) in a specific engineering or scientific discipline and/or invents/designs complex products and/or processes.
May be involved in engineering these ideas to an advanced state of feasibility by evaluating ideas and plans and participating in their implementation.
Disseminates the results of such activities internally and externally, through publications, patent disclosures, seminar participation, internal documentation, etc. Represents T-Mobile at professional meetings, in professional societies and universities.
Functions as an internal consultant in the areas of professional expertise.
Direct technically, and/or manage, within the broad mission of the group, activities of other research staff members and technical support persons.
Democratize AI by deploying AI Solutions easily for common business scenarios
Leverage Powerful prebuilt AI models exposed as API services
Simple REST APIs with .NET, Java, Python, Node SDKs
Train in the cloud and deploy anywhere model
Text Analytics and NLP services to the broader T-Mobile functional areas
Innovation: Contributes designs to implement new ideas improving existing or new system/process/service directly supporting Business value drivers. Understands and can apply new industry perspectives to our existing business model. Seeks opportunities to improve models, processes or product by reducing cost and improving efficiency.
Technology Strategy: Contributes to new and existing technology options that support business goals. Evaluates technologies and proposes technology position for the company.
3+ Years of experience (with PhD) in Data Science & Statistics/Mathematics or related field
5+ Years of experience (with Master's degree) in Data Science & Statistics/Mathematics or related field
7+ Years of experience (with Bachelor's degree) in Data Science & Statistics/Mathematics or related field
Strong proficiency in Machine Learning, Scripting, and Statistical & Reporting tools (Python, R, SAS, SQL, etc.).
Thorough knowledge of TensorFlow, Keras, Deep Learning & Neural Networks and their applicability. Strong experience working on Cloud (AWS, Azure.) based analytics platform.
Willingness to extend beyond core data science work to perform -data wrangling, data prep and data transfers, occasionally
Focus: Able to communicate goals in support of the business' mission. Ability to define a work scope, plan of action independently, but aligned to organization goals
Drive: Self-motivated and able to work well under pressure. Consistently invest in driving adoption of advanced analytics.
Teamwork: Ability and desire to work cooperatively with others. Develop, maintain, and strengthen partnerships that can provide information, assistance, and support.
Communication: The ability to ensure that information is passed on to others who should be kept informed. Express self, clearly in conversations and interactions with others. Excellent business and technical writing skills, with ability to present to audiences of differing experiences
Customer Focus: demonstrate empathy, concern and meet customers' needs with context to their challenge/opportunity
Analytical: tackle a problem by using a logical, systematic, sequential approach.
Technical Expertise: The ability to demonstrate depth of knowledge and skill in a technical area.
Forward Thinking: The ability to anticipate the implications and consequences of situations and take appropriate action to be prepared for possible contingencies.
Influencing Others: The ability to gain others' support for ideas, proposals, projects, and solutions.
Is able to demonstrate project management fundamentals and show ownership to track milestones, deliverables with regular statusDesired
Couple years of experience in the telecom industry for basic understanding of network KPIs
Computer programming background in addition to the Data science skillsEducation
Bachelor's degree in Engineering or Computer Science or Statistics or related field
Preferred: PhD or Master's/Advanced degree in Quantitative Discipline (Math, Statistics, Economics, Computer Science, Engineering, etc.)
As America's Un-carrier, T-Mobile USA, Inc. (NASDAQ: "TMUS") is redefining the way consumers and businesses buy wireless services through leading product and service innovation. The company's advanced nationwide 4G and 4G LTE network delivers outstanding wireless experiences for customers who are unwilling to compromise on quality and value. Based in Bellevue, Washington, T-Mobile USA. Inc. provides services through its subsidiaries and operates its flagship brands, T-Mobile and Metro by T-Mobile. For more information, please visit http://www.t-mobile.com
Equal Employment Opportunity
We take equal opportunity seriously-by choice.
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.
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