What you’ll be doing...

We are looking for a Principal Data Scientist who will be focused on delivering Customer Intelligence, as part of the System of Insights. You will drive profitable growth and business innovation by applying cutting edge machine learning techniques and AI technology. You will lead data science projects that drive customer intelligence, product personalization, marketing effectiveness, channel optimization, better customer experience, and operational efficiency.

You will have to be adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. You must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. You must also have a proven ability to drive business results with your data-based insights. You should have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

  • Work on Advanced Analytics using Big Data, Data Warehousing, Cognitive and Heuristic platforms.
  • Research, design, implement, and oversee high-end analytical/technology process and solutions with a focus on leveraging advanced machine learning, artificial intelligence and cognitive methods.
  • Work with the business to understand the requirements of the digital challenges, heuristic, machine and cognitive analysis and communicate back the results.
  • Build analytical solutions and models by manipulating large data sets and integrating diverse data sources.
  • Perform ad-hoc analysis and develop reproducible analytical approaches to meet business requirements.
  • Perform exploratory and targeted data analyses using descriptive statistics and other methods.
  • Apply machine learning and statistical techniques to large data sets to find actionable insights.
  • Use complex algorithms to develop systems & applications that deliver business functions or architectural components.
  • Present results and recommendations to senior management and business users.
  • Responsible for providing line of sight to data quality and gaps where issues need to be addressed.
  • Communicate the business value of technical solutions.
  • Discover mutually beneficial solutions across customers while recognizing different styles.

What we’re looking for...

You are a master at analyzing big data. You thrive in an environment where enormous volumes of data are generated at rapid speed. You’re a creative thinker who likes to explore, and uncover the issues. You are decisive. You are great at influencing up, down, and across groups, and you take satisfaction in mentoring others; communicating what you’ve uncovered in a way that can be easily understood by others is one of your strengths.

You’ll need to have:

  • Bachelor’s degree or four or more years of work experience.
  • Six or more years of relevant work experience.
  • Experience using statistical computer languages (Python, Scala, PySpark, Java, SQL, etc.) to manipulate data and draw insights from large data sets.

Even better if you have:

  • A degree in mathematics, statistics, physics, engineering, computer science, economics, or relevantfield.
  • Experience with Tableau or similar visual analysis tool, optimization, analytics and large data sets, project management, developing visually compelling interactive dashboards.
  • Strong knowledgeof database concepts (Oracle, MS SQL, generic SQL, etc.)
  • Strong knowledgeof data warehouse and data lake technology (Teradata, Hadoop).
  • Strong knowledgeof third party analytic tools.
  • Working experience with general purpose programming languages (Java, .Net, Python, Perl, etc.).
  • Experience with shell scripting tools in Windows, Linux/Unix.
  • Experience with data aggregating tools such as SPLUNK.
  • Experience working with and creating data architectures.
  • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, XGBoost, Genetic Algorithms, etc.
  • Strong knowledgeof advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, State Space, text mining, social network analysis, etc.
  • Experience with distributed data/computing tools: Hadoop, Tez, Map/Reduce, Hive, Spark, PySpark, Scala, etc.
  • Experience building semantic and feature engineering pipelines.
  • Experience in adhoc-analysis and developing reproducible analytical approaches to meet business requirements.

When you join Verizon...

You’ll have the power to go beyond – doing the work that’s transforming how people, businesses and things connect with each other. Not only do we provide the fastest and most reliable network for our customers, but we were first to 5G - a quantum leap in connectivity. Our connected solutions are making communities stronger and enabling energy efficiency. Here, you’ll have the ability to make an impact and create positive change. Whether you think in code, words, pictures or numbers, join our team of the best and brightest. We offer great pay, amazing benefits and opportunity to learn and grow in every role. Together we’ll go far.

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. Different makes us better.