Associate Data Scientist

T-Mobile • Bellevue, WA

2d

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! Ready to elevate your career and be a part of the next chapter in the Uncarrier journey at T-Mobile? Our team is searching for an Associate Data Scientist who'll be responsible for applying statistical, advanced analytics, machine learning, and AI techniques solving business problems. We collaborate with a multi-disciplinary team of technical and non-technical business partners on a wide range of challenges to build real business value from data. We pride ourselves on encouraging a culture of innovation, advocating for agile methodologies, and promoting transparency in all that we do. Join us in embodying the spirit of the 'Un-carrier' and make a tangible impact! If you are passionate about driving excellence and want to make a significant impact, apply today!

Requirements

• 1+ yrs academic and/or professional experience in predictive modeling, data science, machine learning, advanced analytics, and AI in a Data scientist role, ML Scientist, or Deep learning scientist role.
• 2 yrs experience with Python, SQL, and visualization.
• Basic calculus, linear algebra, statistics, and probability.
• Proven understanding of machine learning concepts and techniques related to supervised and unsupervised learning.
• Familiarity with Agile Methodology.
• Good communication skills coupled with analytical and critical thinking skills.
• At least 18 years of age
• Legally authorized to work in the United States

Nice To Haves

• Certified Analytics Professional (CAP) (Preferred)
• Cloudera Data Platform Generalist Certification (Preferred)
• Data Science Council of America (DASCA) Senior Data Scientist (SDS) (Preferred)
• Data Science Council of America (DASCA) Principal Data Scientist (PDS) (Preferred)
• Azure Data Scientist Associate: Data Scientist (Preferred)

Responsibilities

• Develop sophisticated analytical solutions to tackle business problems; pre-process and perform exploratory data analysis on structured and unstructured data; build features based on expertise in the domain; use predictive modeling techniques and statistical analysis to predict outcomes and behaviors
• Support business partners and product owners to understand business challenges, develop cases, capture requirements, co-create solutions that drive business change that tackle the challenges and deliver impactful business outcomes
• Support teams’ mission to partner with leaders across T-Mobile to understand the “art of the possible” and identify AI/ML opportunities to grow our business, reduce costs, handle risk, detect anomalous behavior, forecast/predict outcomes, and delight our customers
• Collaborate with cross-functional team comprised of other data scientists, data engineers, ML engineers, and data analysts.
• Leverage the Agile methodology to ensure alignment of data science roadmap, features, and stories to business priorities and value streams.
• 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.
• 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: Entry Level
• Number of Employees: 5,001-10,000 employees