Sr Data Scientist

T-Mobile • Overland Park, WA

4d

About The Position

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! As a Senior Data Scientist, you are responsible for leading the application of machine learning techniques and 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 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 Senior Data Scientist represents technical expertise and leadership within the Data Science team in creating real business value from data.

Requirements

• Bachelor's Degree in Quantitative Discipline (math, statistics, economics, computer science, physics, engineering, etc.) Required
• 4-7 years of 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)
• 4-7 years of experience with data scripting languages (e.g., SQL, Python, R) (Required)
• 4-7 years of Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data (Required)
• 4-7 years of experience in data visualization (Required)
• 4-7 years of experience working with relational database using SQL (Required)
• 2-4 years of experience with big data architecture and pipeline, Hadoop, Hive, Spark, Kafka, etc. (Required)
• Mathematics : Calculus, linear algebra, statistics, and probability
• Programming : Expertise in Python and SQL
• Machine Learning: Expertise applying machine learning concepts and techniques related to supervised and unsupervised learning
• 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

Nice To Haves

• Masters Degree in Quantitative Discipline (math, statistics, economics, computer science, physics, engineering) Preferred.
• 2-4 years of experience in the telecom industry preferred

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 data science team, including reviewing projects, models, and code for peers and junior team members.
• Work with engineering teams to implement and improve machine learning pipelines and production-ready models.
• Effectively communicate important information and insights to business leaders using verbal, written, and data visualization skills.
• Also responsible for other Duties/Projects as assigned by business management as needed.

Benefits

• 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.
• 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.
• 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.
• eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs!

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees