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Job Overview
Associate Data Scientist is responsible for applying statistical, advanced analytics, machine learning, and AI techniques to solve business problems. They collaborate with a multi-disciplinary team of technical and non-technical business stakeholders on a wide range of challenges to create real business value from data.

Job Responsibilities:

• Develop advanced analytical solutions to solve business problems; pre-process and perform exploratory data analysis on structured and unstructured data; create 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 business cases, capture requirements, co-create solutions that drive business change that solve 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, manage 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. (NON-NEGOTITABLE)

Education and Work Experience:

• Bachelor’s Degree Quantitative Discipline (math, statistics, analytics, data science, economics, computer science, physics, engineering) (Required)
• Master’s/Advanced Degree Quantitative Discipline (math, statistics, analytics, data science, economics, computer science, physics, engineering) (Preferred)
• Less than 2 years Industry experience in predictive modeling, data science, machine learning, advanced analytics, and AI in a Data scientist role, ML Scientist, or Deep learning scientist role Preferred
• Less than 2 years Experience with Python and SQL Preferred
• Less than 2 years Experience in visualization Preferred

Knowledge, Skills and Abilities:

• Basic calculus, linear algebra, statistics, and probability (Required)
• Good Knowledge of Python and SQL (Required)
• Solid understanding of machine learning concepts and techniques related to supervised and unsupervised learning. (Required)
• Familiarity with Agile Methodology (Preferred)
• Good communication skills. (Required)
• Good analytical and critical thinking skills. (Required)

Licenses and Certifications:
-
- 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)
- At least 18 years of age
- Legally authorized to work in the United States

• Develop advanced analytical solutions to solve business problems; pre-process and perform exploratory data analysis on structured and unstructured data; create 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 business cases, capture requirements, co-create solutions that drive business change that solve 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, manage 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. (NON-NEGOTITABLE