Senior Data Science Engineer

What you’ll be doing...

As a Data Scientist you will own and perform specific analytics tasks as well as lead and drive end to end solutions for AI/ML use cases with guidance from your team lead and manager. Responsibilities include:

• Driving data-derived insights across the business domain by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives.

• Analyzing structured and unstructured data using data mining/statistical/machine learning/deep learning tools, Data visualization, Digital/Web analytics tools and techniques and storytelling.

• Building and training statistical models and machine learning algorithms.

• Designing, developing, and testing custom analytic software systems for telecommunications and data communications applications.

• Effectively working in an inter-disciplinary team environment.

• Coordinating with project management, software architects, other engineering and data science teams in determining overall system solutions.

• Supporting the scoping and implementation of technical solutions.

• Appling both procedural and object oriented techniques and Agile methodologies.

• Preparing all the supporting documents and reports.

• Mentoring/Guiding one to two members in the team on technical aspects as needed.

What we’re looking for...

You have strong analytical skills, and are eager to work in a collaborative environment to drive ML application in business problems, develop end to end analytical solutions and communicate insights and findings to leadership. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various partners and multi-functional teams to implement data science driven business solutions.

You'll need to have:

• Bachelor's degree or four or more years of work experience

• Four or more years of relevant work experience

• Experience in advanced analytics/ predictive modelling using ML/DL libraries like TensorFlow, H20, Pytorch, Sci-kit Learn.

• Experiences in designing, developing, optimizing, and troubleshooting complex data analytic pipelines and ML model applications using Spark, HDFS and other big data related technologies.

• Must be able to pass an extensive background investigation as a condition of employment.

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

• Bachelor's or advanced degree in computer science, applied math, statistics or other relevant quantitative discipline, or equivalent industry experience

• Four or more years of relevant work experience in advanced analytics/ predictive modelling using ML/DL libraries like TensorFlow, H20, Pytorch, Sci-kit Learn.

• Master's degree in computer science, applied math, or statistics.

• Experience in using NLP, Bi/Visual analytics, Graph Databases like Neo4j/OrientDB/Neptune.

• Programming in Python and R using distributed frameworks like PySpark, Spark, SparkR.

• Familiarity of machine learning techniques and algorithms, such as k-NN, Naive Bayes, and SVM.

• Experience with extraction, transformation and loading of data from a wide variety of data sources using Apache NiFi.

• Familiarity with virtualization/containerization, DevOps and CI/CD tools for automation of build, packaging, deployment, and testing

• Experience with Atlassian’s agile development tools including Bitbucket, Jira and Confluence.

• Experience working with cross-functional teams in a dynamic environment.

• Excellent written and verbal communication skills.

Why Verizon?

Verizon is committed to maintaining a Total Rewards package which is competitive, valued by our employees, and differentiates us as an Employer of Choice.

• We are a ‘pay for performance’ company and your contribution is rewarded through competitive salaries, performance-based incentives and an employee Stock Program. We create an opportunity for us all to share in the success of Verizon and the value we help to create through this broad-based discretionary equity award program.

• Your benefits are market competitive and delivered by some of the best providers.

• You are provided with a full spectrum of health and wellbeing resources, including a first in-class Employee Assistance Program, to empower you to make positive health decisions.

• We offer generous paid time off benefits.

• Verizon provides training and development for all levels, to help you enhance your skills and develop your career, from funding towards education assistance, award-winning training, online development tools and access to industry research.

• You will be able to take part in volunteering opportunities as part of our environmental, community and sustainability commitment.

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.