Journeyman Data Scientist supporting DoD enterprise data and analytics program, collaborating with teams to deliver scalable, production - ready solutions and enhancing data - driven decision - making.
About the role
- Data Scientist leading machine learning projects for consumer analytics at T-Mobile, transforming data into actionable insights to drive business value.
Responsibilities
- Extract and model large, complex data sets using machine learning, mathematics, statistics, and programming to generate predictive insights
- Deliver timely, high-quality analysis and actionable recommendations that support intelligent business decision-making
- Provide senior-level guidance and mentorship by reviewing projects, models, and code to support team development
- Collaborate with engineering teams to implement and enhance machine learning pipelines and production-ready models
- Communicate key information and insights to business leaders through verbal, written, and data visualization methods
- Also responsible for other duties/projects as assigned by business management as needed
Requirements
- Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience
- Acceptable areas of study include Quantitative Discipline (math, statistics, economics, computer science, physics, engineering, etc.)
- 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
- 4-7 years Experience with data scripting languages (e.g., SQL, Python, R)
- 2-4 years Experience with big data architecture and pipeline, Hadoop, Hive, Spark, Kafka, etc.
- 4-7 years Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data
- 4-7 years Experience in data visualization
- 4-7 years Experience working with relational database using SQL
- 2-4 years Experience in the telecom industry (Preferred)
- Mathematics Calculus, linear algebra, statistics, and probability
- Programming Expertise in Python and SQL
- Machine Learning: Expertise applying machine learning concepts and techniques related to supervised and unsupervised learning
- At least 18 years of age
- Legally authorized to work in the United States
Benefits
- Medical, dental and vision insurance
- Flexible spending account
- 401(k)
- 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
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Journeyman Data Scientist supporting delivery of enterprise data and analytics solutions. Collaborate with teams to deliver scalable, production - ready solutions in a mission - driven environment.
Data Scientist transforming complex data sets into actionable insights at Booz Allen. Collaborating with clients and developing algorithms to address global challenges with real - world impact.
Data Scientist Intern developing innovative solutions for customer challenges in the Summer Games program at Booz Allen Hamilton. Collaborate with teams, receive mentorship, and participate in a Challenge Cup competition.
Principal Data Scientist at Walmart driving breakthrough system design and advanced AI solution development. Leading high - impact projects in the Associate AI Experiences team with a global reach.
Data Scientist developing AI - enabled applications and backend services for scientific workflows. Collaborating with cross - functional teams to gather requirements and deliver production - ready solutions.
Data Scientist developing advanced analytical solutions affecting business decisions. Expertise in data science with a focus on impactful, strategic projects.
Senior Data Scientist for Integrity & Trust developing AI fraud detection systems in MENA region. Building models for detection and maintaining marketplace quality across the platform.
Data Scientist specializing in grant fraud detection at Desjardins. Providing advanced analytics and AI solutions to support business decisions using extensive data.
Senior BI Data Scientist transforming financial data into actionable insights at Consort Group. Building performance - driven analytical solutions within a Transaction Banking environment.