Associate Data Scientist

T-Mobile • Frisco, TX

3d

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