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Job description
You will be part of team that uses cutting edge statistics and econometrics methods to develop inferential / attribution models that can be actioned using mathematical optimization. We use data and advanced econometric / statistics and machine learning methods as the fuel to propel us beyond our competition. As a Senior Data Scientist, you’ll work on projects (building inferential models) that develop and perform complex statistical and econometric analyses. You’ll be constantly on the lookout for new modeling techniques, evolving technologies, and emerging industry trends so that we can stay ahead of the game. Your work will help us meet our customers’ needs and make it even easier for them to do business with us.
Performing analyses to find actionable insights using advanced econometric / statistical models.
Developing systems, applications, and visual dashboards.
Conducting and guiding others through system usage assessments.
Ensuring data quality and promoting process improvement.
What we’re looking for...
With an eye towards improving performance and predictability, you like the science of analytics. Developing resolutions to complex problems, using your sharp judgment to develop methods, techniques, and evaluation criteria allows you to deliver solutions that make a huge impact. You’re able to communicate technical information to non-technical audiences, and you take pride in your ability to share your considerable knowledge with your peers.
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 as a data scientist, analyst, or statistical modeler.
Experience building Marketing Mix Models.
Experience with building inferential models / attribution models.
Experience with R programming.
Even better if you have one or more of the following:
Degree in statistics, econometrics, computer science, mathematics or business intelligence and analytics.
Master’s degree or Ph.D.
Experience in mathematical optimization.
Experience in developing R packages.
Experience in Bayesian statistics / econometrics.
Experience in Multitouch Attribution (MTA).
Experience with programming languages, like Python, Java, or Scala.
Experience with visualization tools, like Tableau.
Experience with Data Warehousing or Teradata SQL.
Knowledge of distributive computing tools, like Hive or Spark.
Experience with SiteCatalyst/Clickstream.
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 a minimum eight assigned office days per month that will be 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, Maryland, Nevada, New York, Rhode Island, Washington or Washington, D.C. work location, the compensation range for this position is between $137,000.00 and $255,000.00 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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Worksite address
basking ridge, NJ, 07920, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.