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    Associate Director Data Science - Alpharetta, United States - Verizon Communications Inc

    Verizon Communications Inc
    Verizon Communications Inc Alpharetta, United States

    3 weeks ago

    Default job background
    Description
    When you join Verizon


    Verizon is one of the world's leading providers of technology and communications services, transforming the way we connect around the world.

    We're a human network that reaches across the globe and works behind the scenes. We anticipate, lead, and believe that listening is where learning begins.

    In crisis and in celebration, we come together-lifting up our communities and striving to make an impact to move the world forward.

    If you're fueled by purpose, and powered by persistence, explore a career with us.

    Here, you'll discover the rigor it takes to make a difference and the fulfillment that comes with living the #NetworkLife.


    Job/Org Summary:


    At our core, we are dedicated to enriching lives by bridging the gap between individuals and premium wireless experiences that not only meet but exceed expectations in value and quality.

    We believe that everyone deserves access to seamless, reliable, and affordable wireless solutions that enhance their day-to-day lives, connecting them to what matters most.

    By joining our team, you'll play a pivotal role in this mission, working towards delivering innovative, customer-focused solutions that open up a world of possibilities.

    We're not just in the business of technology; we're in the business of connecting people, empowering them to explore, share, and engage with the world around them in ways they never thought possible.


    Building on our commitment to connect people with quality experiences that offer the best value in wireless, let's delve deeper into how we strategically position our diverse portfolio to cater to a broad spectrum of needs and preferences.

    Our portfolio, comprising 11 distinct brands, is meticulously organized into five families, each designed to address specific market segments and distribution channels to maximize reach and impact.

    Total by Verizon &

    Verizon Prepaid:

    At the forefront, we have Total by Verizon and Verizon Prepaid, our flagship brands available at Verizon exclusive and/or national/retail stores.


    Verizon Prepaid continues to maintain a robust and loyal consumer base, while Total by Verizon is on a rapid ascent, capturing the hearts of more customers with its compelling offerings.

    Straight Talk, TracFone, and

    Walmart Family Mobile:

    Straight Talk, Tracfone, and Walmart Family Mobile stand as giants in our brand portfolio, boasting significant presence in Walmart.

    Their extensive reach and solidified position in the market underscore our commitment to accessible, high-quality wireless solutions across diverse retail environments.


    Visible:
    Visible, as a standalone brand family, caters to the digitally-savvy, single-line customers who prefer streamlined, online-first interactions. This brand is a testament to our adaptability, embracing the digital evolution of customer engagement.

    Simple Mobile:
    Carving out a niche of its own, Simple Mobile shines as the premier choice among authorized resellers.

    Its consistent recognition as the most carried brand in Wave7 Research's prepaid dealer survey for 36 consecutive quarters speaks volumes about its popularity and reliability.


    SafeLink:
    SafeLink remains dedicated to serving customers through government subsidies.

    With a strategic pivot towards Lifeline in the absence of ACP, SafeLink continues to fulfill its mission of providing essential communication services to those in need.

    Join the team that connects people with quality experiences that give them the best value in wireless.

    This role is a hybrid schedule in office that includes assigned office days (VCG in office days are Tuesday, Wednesday and Thursday)

    What you'll be doing...


    Data Science:
    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.


    Analytics & Data Enablement:


    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.


    Leadership:
    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.

    What we're looking for...


    You'll need to have:
    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

    Even better if you have one or more of the following:
    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

    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.


    If Verizon and this role sound like a fit for you, we encourage you to apply even if you don't meet every "even better" qualification listed above.

    Where you'll be working


    In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.

    Scheduled Weekly Hours
    40

    Equal Employment Opportunity


    We're proud to be an equal opportunity employer - and celebrate our employees' differences, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and Veteran status.

    At Verizon, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We strive for everyone to feel valued, connected, and empowered to reach their potential and contribute their best. Check out our diversity and inclusion page to learn more.


    Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon.

    From health and wellness benefits, short term incentives, 401(k) Savings Plan, stock incentive programs, paid time off, parental leave, adoption assistance and tuition assistance, plus other incentives, we've got you covered with our award-winning total rewards package.


    For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances.


    If you are hired into a California, Colorado, Connecticut, Hawaii, Nevada, New York, Rhode Island or Washington work location, the compensation range for this position is between $133,000.00 and $270,000.00 annually based on a full-time schedule.

    The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part time roles, your compensation will be adjusted to reflect your hours.
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