Data Scientist
| Company | Verizon Communications |
|---|---|
| Location | Boston, MA, USA, Berkeley Heights, NJ, USA, Lake Mary, FL, USA, Irving, TX, USA |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Mid Level, Senior |
Requirements
- Bachelor’s degree or four or more years of work experience.
- Four or more years of relevant experience required, demonstrated through work experience and/or military experience.
- Experience with Data Science and Machine Learning, including but not limited to Regression, Classification, Ensemble Methods, Deep Learning, Reinforcement Learning, GenAI, NLP, recommendation systems, conversational systems, information retrieval, computer vision, etc.
- Experience in one or more languages like Java, R, matlab, Python – generators, iterators, comprehensions, Numpy, Pandas, matplotlib, sklearn, keras, tensorflow, pytorch.
- Experience with Visualization tools like Qlik, Tableau, matplotlib etc.
Responsibilities
- Work with terabytes of data at scale and bring reliable and scalable real time insights.
- Apply advanced state of the art end to end analysis techniques and ML algorithms to provide a best-in-class customer experience.
- Make recommendations based on data with excellent visual representations of stories based on data for making critical business decisions.
- Collaborate with cross functional teams i.e., engineers, managers, stakeholders and identify opportunities to improve our products and customer experience.
- Develop comprehensive understanding of data and complexity of multiple systems to develop a seamless data pipeline which can visualize data at scale.
- Build Machine / Deep Learning models. Build end to end Data Science solutions.
- Work with Teradata, Spark and GCP.
- Work closely with leaderships, data engineering and data science team to continuously and collaboratively ship new models, algorithms and improvements into production.
Preferred Qualifications
- Good grasp of Statistics and Probability.
- Ability to work in a fast paced, dynamic work environment.
- Excellent interpersonal, verbal and written communication skills.
- Knowledge of big data tools (SQL, Spark, and Splunk) i.e., manipulating mining data from these systems.
- Work experience in descriptive, predictive and prescriptive analytics in financial area.
- Experience in augmenting, fine tuning LLM solutions.