Data Scientist creating machine learning solutions to detect financial crime at a significant financial institution. Leading model development with business stakeholders and engineers while maintaining compliance standards.
About the role
- Senior Data Scientist developing innovative solutions for customer-facing products at T-Mobile. Collaborating cross-functionally to deliver scalable machine learning systems that unlock new revenue opportunities.
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.
Requirements
- Bachelor's Degree in Quantitative Discipline (math, statistics, economics, computer science, physics, engineering, etc.) (Required)
- Master's/Advanced Degree in Quantitative Discipline (math, statistics, economics, computer science, physics, engineering) (Preferred)
- 4-7 years 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 Experience with data scripting languages (e.g., SQL, Python, R) (Required)
- 2-4 years Experience with big data architecture and pipeline, Hadoop, Hive, Spark, Kafka, etc. (Required)
- 4-7 years Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data (Required)
- 4-7 years Experience in data visualization (Required)
- 4-7 years Experience working with relational database using SQL (Required)
- 2-4 years Experience in the telecom industry (Preferred)
Benefits
- medical, dental and vision insurance
- flexible spending account
- 401(k) with matching
- employee stock grants
- employee stock purchase plan
- paid time off
- up to 12 paid holidays
- 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
- voluntary long-term care insurance
- mobile service & home internet discounts
- pet insurance
- access to commuter and transit programs
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