Senior Data Scientist
Company Name:-
Verizon
Job Location:-
Denver, CO 80202 (Central Business District area)
Job Summary:-
Job detailsSalary$100,800 – $187,200 a yearJob TypeFull-timePart-timeFull Job DescriptionWhen you join Verizon
Verizon is a leading provider of technology, communications, information and entertainment products, transforming the way we connect across the globe.
Were a diverse network of people driven by our ambition and united in our shared purpose to shape a better future.
Here, we have the ability to learn and grow at the speed of technology, and the space to create within every role.
Together, we are moving the world forward and you can too.
Dream it.
Build it.
Do it here.
What youll be doing.
.
.
Verizon is serious about innovation.
About being the first and being the best.
Verizon Location Services (VLS) sits at the core of the Strategy and New Business Development organization and is a critical part of driving innovation across our global customer base, both inside and outside of Verizon.
Backed by more than 50 years of location-based expertise, we are building solutions that leverage the power of location intelligence to help drive technologies of the future.
Technologies like 5G, Multi-Access Edge Computing and Artificial Intelligence that are allowing us to create products that were previously impossible.
Were building tomorrow with the best of today.
Your role
Use your experience and skill set (along with your imagination) to manipulate and analyze complex, high-volume, high-dimensionality data from varying sources to help develop various types of data-driven products.
Conduct market/competitive research and analysis to understand current market trends; identify white space opportunities; and understand technology distributions that could impact the Data Science road map.
Spearhead statistical analysis,third party data integration and hypothesis testing.
Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.
Collaborate with other engineers or engineering teams to push the algorithms into production.
Use your passion for identifying questions and for answering hard questions with data to improve business performance.
What were looking for.
.
.
You’ll need to have:
Bachelors degree in engineering, statistics,
FOR MORE DETAILS CLICK BELOW LINK [convertful id=”110657″]
