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Verizon · 1 week ago
Associate Director Data Science
New York, NY
Full-time
Hybrid
Senior Level
$133K/yr - $270K/yr
6+ years exp
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Responsibilities
Advanced knowledge of experimental design and testing frameworks like A/B testing, Multi-armed Bandit testing etc. to guide optimal decisions across various key base-management initiatives related to churn reduction, revenue growth and customer satisfaction. Build frame-works to enable effective measurement of experiments at scale.
Research and build proof-of-concept models utilizing various machine learning techniques & traditional statistical techniques to drive optimal business decisions for various use cases like call-routing, revenue growth through initiatives like driving Walmart+ and other subscriptions.
Build Financial models leveraging Survival modeling and other machine learning techniques to to drive effective decisions across all base-management initiatives.
Develop Customer Segmentation Models and response rate models to help in effective targeting of customers across different base-management initiatives.
KPI forecasting leveraging time-series forecasting techniques to guide the business on metrics like churn etc.
Generate business insights by using various predictive modeling techniques.
Synthesize predictive insights to concrete business actions and collaborate with teams across the value organization (Finance / Marketing / Operations / GTS / AI&D etc.) to drive successful business outcomes.
Leverage deep understanding of customer behaviors, strategic thinking, strong financial acumen and cross-functional aptitude to build analytical solutions to make the best informed decisions.
Work on building either cloud-based predictive modeling solutions (AWS/GCP using Pyspark or similar tools) or general predictive solutions depending on the use case.
Guide the build and enhancement of the Customer Data Platform with 360 degree view of customer and prospect profiles, interactions & demographics.
Enable team with Analytical solutions to evaluate marketing campaign's effectiveness and identify areas for optimization. Measure key performance indicators (KPIs) such as conversion rates, return on investment (ROI), and customer engagement metrics. Provide insights to refine targeting strategies, messaging, and channel allocation for future campaigns.
Develop strong relationships with business partners across the value organization to drive transformational change.
Partner with functional groups (Finance, Marketing, Operations, GTS, AI&D and others) to drive effective business decisions.
Be recognized as a subject matter expert and participate in knowledge sharing sessions.
Continually broaden and strengthen knowledge of analytical methods, vendors and tools.
Manage/Coah other Data Analytics Professionals.
Qualification
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Required
Bachelor's degree or four or more years of work experience
Six or more years of relevant work experience
Strong Predictive / Prescriptive modeling experience
Advanced proficiency in SQL, Python (/R) and data visualization tools (Tableau, Qlik or native Python or other libraries like Plotly/Streamlit etc)
High proficiency with Microsoft Excel and PowerPoint
Experience leading a team
Experience managing large complex projects involving multiple work streams and stakeholders
Strong storytelling to drive recommendations based on the data analysis and articulate trade offs and communication plan to senior executives
Ability to translate complex ideas and express them in concise, simple to understand ways
Proven ability to take initiative, influence others and achieve results
Experience gathering, organizing and analyzing large amounts of information
Experience presenting ideas and content to a variety of stakeholders at various levels
Experience working collaboratively with a variety of stakeholders
Advanced research, analytical, and critical thinking skills with the ability to see things not readily apparent to others and to find unique solutions to complex challenges
Experience managing and influencing relationships at the senior executive level. Ability to present and interact with all levels of management
Excels at working under pressure on multiple projects simultaneously while meeting deadlines with frequent interruptions and redefined priorities
Skilled and comfortable at working within the marketing matrix
Preferred
A Master's degree in a quantitative discipline such as Mathematics, Statistics, Financial Economics/Econometrics, Engineering, Computer Science, or Operations Research. MBA highly preferred
Five or more years of experience in developing and implementing analytical solutions to complex business problems/opportunities
Five or more years of active experience in Data management, analysis and visualization to realize absolute and incremental commercial gains
Experience working in the Consumer/Retail space within the Financial Services, Telecommunications, Technology or other related mass market industries or related work in the Public Policy, Bio-statistics and Scientific Research industries
A passion for educating and communicating analytic findings and insights with integrity to all levels: from going over raw output with colleagues to creating PowerPoint presentations and storyboards that captivate and succinctly convey complex ideas to our strategic partners
An appetite for improvement of our analytical products and processes built on a solid foundation of a lifelong love of learning
High level of curiosity and investigative mind-set with an attention to detail, a tenacity of thought, the flexibility to adapt to new challenges and the resiliency to overcome short-term hurdles by staying focused on the team's deliverables
Benefits
Health and wellness benefits
Short term incentives
401(k) Savings Plan
Stock incentive programs
Paid time off
Parental leave
Adoption assistance
Tuition assistance
Company
Verizon
Verizon Communications is a broadband and telecommunications company that provides information and entertainment services.
10,001+ employees
H1B Sponsorship
Verizon has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (1)
2022 (4)
2021 (9)
2020 (6)
Funding
Current Stage
Public CompanyTotal Funding
$30.1BKey Investors
U.S. Department of DefenseConnect Maryland
2022-09-16Grant· $11.5M
2022-07-11Grant· $0.08M
2022-03-18Grant· $11.8M
Leadership Team
Hans Vestberg
Chairman & CEO
Manon Brouillette
EVP & CEO
Recent News
2024-06-05
Company data provided by crunchbase
