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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates advanced expertise in Python and SQL for data extraction and analysis, along with a proven ability to build and deploy machine learning models and time series forecasting solutions. Capable of managing complex analytics projects and translating data insights into actionable business strategies.
Highest-signal resume keywords
Python ProgrammingSQL QueryingMachine Learning Model DevelopmentData VisualizationTime Series Forecasting
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Serve as an advanced individual contributor and technical lead on critical analytical projects within Verizon’s Impact Analytics team and Transformation Command Center
- Query, clean, merge, and manipulate massive structured and unstructured datasets across big data systems using SQL and Python
- Design, build, validate, and deploy supervised and unsupervised machine learning algorithms
- Develop robust time series forecasting models for complex and ambiguous business problems
- Drive high-visibility analytics projects end-to-end, from scoping and data extraction through model building, testing, validation, and executive presentation
- Develop dashboards and visual reporting frameworks using Matplotlib, Seaborn, Tableau, Grafana, and similar tools
- Translate complex model outputs into key executive metrics
- Partner with Consumer, Network, and Strategy teams as a consultative technical advisor
- Translate business challenges into data science workflows and present actionable recommendations to leadership
- Test corner cases, ensure model governance and validation rigor, and integrate state-of-the-art AI/ML and forecasting methodologies into the team repository
- Transform complex datasets into production-grade predictive models and actionable strategies that unlock financial opportunities
Requirements
What you’ll need- Bachelor’s degree in Data Science, Computer Science, Statistics, Economics, Engineering, or a related quantitative field, or four or more years of work experience
- Six or more years of relevant experience, demonstrated through work experience and/or military experience
- Advanced, independent coding experience in Python and SQL for complex data extraction, feature engineering, and statistical analysis
- Proven track record building, validating, and deploying machine learning models and time series forecasting solutions in enterprise business settings
- Strong experience with data visualization tools and libraries such as Matplotlib, Seaborn, Tableau, and Grafana
- Ability to independently manage technical project lifecycles, handle complex data pipelines, and present analytical findings to management
- Master’s degree or 4+ years of hands-on experience in data science, advanced analytics, or predictive modeling
- Master’s degree or Ph.D. in a quantitative discipline or an MBA with a strong technical background
- 5+ years of progressive technical experience in data science, advanced analytics, or quantitative consulting
- Experience with Big Data frameworks such as Spark, Splunk, and Hadoop and cloud analytics platforms
- Advanced expertise in specialized fields such as Deep Learning, NLP, causal inference, recommendation systems, or advanced time series frameworks such as Prophet, ARIMA, and LSTM
- Track record of independently driving cross-functional analytics projects in telecommunications, pricing, sustainability, or customer experience
Benefits
Comp & perks- Medical, dental, and vision insurance
- Short- and long-term disability insurance
- Basic and supplemental life insurance
- AD&D insurance
- Identity theft protection
- Pet insurance
- Group home and auto insurance
- Matched 401(k) savings plan
- Up to 8 company-paid holidays per year
- Up to 6 personal days per year
- Paid parental leave
- Adoption assistance
- Tuition assistance
- Premium pay opportunities, including overtime, shift differential, holiday pay, and allowances
- Up to 15 days of vacation per year for newly hired employees, increasing with service
- Other incentives
- Hybrid work arrangement with work-from-home options
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ExtractionFeature EngineeringStatistical AnalysisPredictive ModelingModel ValidationBig Data FrameworksDeep LearningNatural Language ProcessingCausal InferenceRecommendation Systems
Soft Skills
Project ManagementConsultative Technical AdvisoryPresentation Skills
Tools & Technologies
MatplotlibSeabornTableauGrafanaSparkSplunkHadoopCloud Analytics Platforms
Certifications & Qualifications
Bachelor’s Degree in Data ScienceMaster’s Degree in Quantitative DisciplinePh.D. in Quantitative DisciplineMBA with Technical Background
Industry Keywords
TelecommunicationsAdvanced AnalyticsQuantitative ConsultingCustomer ExperienceSustainability