Data Scientist

T-Mobile•Bellevue, WA

2d•Hybrid

About The Position

As a Data Scientist, you are responsible for applying 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 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 create real business value from data.

Requirements

Bachelor's Degree Quantitative Discipline (math, statistics, economics, computer science, physics, engineering) (Required)
2-4 years Industry experience in predictive modeling, data science, and analysis in an ML engineer or data scientist role Required
2-4 years Experience with data scripting languages (e.g., SQL, Python, R) Required
2-4 years Experience in data visualization Required
Mathematics Calculus, linear algebra, statistics, and probability (Required)
Programming Working knowledge of Python and SQL (Required)
Machine Learning: Solid understanding of machine learning concepts and techniques related to supervised and unsupervised learning (Required)

Nice To Haves

Master's/Advanced Degree Quantitative Discipline (math, statistics, economics, computer science, physics, engineering) (Preferred)
2-4 years Experience developing statistics-based analytics reports Preferred
2-4 years 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.
Perform data mining and statistical analyses on ad hoc business problems.
Define problems in mathematical terms. For example, “Why is product feature X underperforming?” and “What data on user behavior might help explain it?”
Communicate important information and insights to business leaders using verbal, written, and data visualization skills.