Verizon Senior Data Scientist in Waltham, Massachusetts
What you’ll be doing...
The Network Business Analytics team is hiring a strategic thinker to join a high profile, high visibility team that powers Network analytics and strategic thinking for Verizon. You will be part of a team that drives business decisions and optimized capital investment for the Verizon Wireless and Wireline Networks. That includes building tools, creating analyses, and discovering insights into our Networks that can be used to optimize our capital plan.
We create actionable operational and strategic insights as well as visualizations for senior leaders in the company across multiple organizations. You will be part of the team that shapes multi-billion dollar investments for the nation’s largest and fastest 4G LTE Network, and broadening investments into 5G. This is a job for an intelligent, decisive, quick, forward-thinking, strategic, and tactical thought leader. You have exceptional influencing skills and preferred experience working across areas and levels of an organization.
Architect and design solutions to complex predictive & prescriptive modeling challenges including capital optimization across our Networks.
Research and develop analyses, forecasting, and optimization methods to improve the quality of Network quality of service; example application areas include throughput optimization & end-user behavioral modeling.
Develop and implement machine learning and optimization algorithms across multiple platforms to create scalable solutions with actionable insights from complex data sets.
Lead strategic efforts across the Network organization, leveraging advanced analytics to optimize processes and procedures that lead to improved Network KPIs, capital optimization and cost reduction.
Use statistical modelling and analysis to understand relationships between diverse forms of customer data, network data and business KPI's.
Design and implement data architecture, analytics environments, and methodologies for analyzing and storing large sets of structured and unstructured data.
Make business recommendations (e.g. cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
Define key success metrics and create dashboards / reports to communicate results and monitor KPIs.
Lead the creation of new data processes as identified through industry benchmarking and collaboration with Verizon's data scientist community.
Cross Functional Collaboration:
Ability to manage multiple projects simultaneously, adapt to changing priorities and meet aggressive deadlines.
Being the go-to-person for network & technical modeling questions, including familiarity with next-gen network architecture and applications.
Collaborate with IT and business stakeholders to ensure data governance audit standards.
Participate in cross-functional project teams as predictive modeling subject matter expert.
Ability to analyze complex data sets, draw conclusions and relationships and develop actionable recommendations.
Effectively communicate actionable insights to category leads supporting their goals and objectives.
Prepare executive level presentations to clearly articulate results of complex mathematical analyses.
What we’re looking for...
You'll need to have:
Bachelor’s degree in a quantitative discipline; computer science, computer engineering, statistics, operations research, industrial engineering, economics, mathematics, physics, electrical engineering, industrial engineering, or a related area, or four or more years of work experience.
Six or more years of relevant work experience.
Experience programming/scripting/coding (SQL, Python, R) and knowledge of relational databases.
Two or more years of experience with business intelligence tools (Tableau, Alteryx, PowerPivot).
Even better if you have:
Master’s degree in a quantitative discipline; computer science, computer engineering, statistics, operations research, industrial engineering, economics, mathematics, physics, electrical engineering, industrial engineering, or related area.
5+ years of experience in data modeling, programming, data mining, large scale data acquisition, transformation and cleaning of structured and unsecured data.
Working knowledge of predictive modeling tools, machine learning tools (scikit-learn, PyTorch, Spark, TensorFlow, Keras, Theano), and statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods.
Optimization modeling (CPLEX, gurobi).
2+ years of experience with data warehousing technologies (e.g. Oracle, SAP, Teradata, MS SQL).
Familiarity with Hadoop ecosystem and NoSQL database technologies (MongoDB, Cassandra).
High level of curiosity and investigative mind-set with an attention to detail.
Flexibility to adapt to new challenges to overcome short-term hurdles by staying focused on the team’s deliverables.
Capacity for quickly learning and using widely available tools and methodologies.
When you join Verizon...
You’ll be doing work that matters alongside other talented people, transforming the way people, businesses and things connect with each other. Beyond powering America’s fastest and most reliable network, we’re leading the way in broadband, cloud and security solutions, Internet of Things and innovating in areas such as, video entertainment. Of course, we will offer you great pay and benefits, but we’re about more than that. Verizon is a place where you can craft your own path to greatness. Whether you think in code, words, pictures or numbers, find your future at Verizon.
Equal Employment Opportunity
We're proud to be an equal opportunity employer- and celebrate our employees' differences, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or Veteran status. Different makes us better.