Engr III Cslt-Data Science

What you’ll be doing...

You will work with terabytes of data at scale and bring reliable and scalable real time insights. You will apply advanced state of the art end to end analysis techniques and algorithms to provide a best in class customer experience.

1. Making recommendations based on data with excellent visual representations of stories based on data for making critical business decisions.
2. Exploring research in the data science field and utilizing open source research results for the improvement of customer facing products.
3. Collaborating with cross functional teams i.e. engineers, managers, stakeholders and identifying opportunities to improve our products and customer experience.
4. Developing comprehensive understanding of data and complexity of multiple systems to develop a seamless data pipeline which can visualize data at scale with cent percent accuracy.
5. Building Machine / Deep Learning models.
6. Working with terradata, hive, spark, tableau, postgres, other big data systems with Verizon grid computing infrastructure.
7. Mentoring and developing the team.

What we’re looking for...

You have strong analytical skills, and are eager to work in a collaborative environment with global teams to drive ML applications 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 cross functional teams to implement data science driven business solutions.

You'll need to have:

1. Bachelor's degree or four or more years of work experience.
2. Four or more years of relevant experience required, demonstrated through work experience and/or military experience.
3. Experience in one or more languages like Python - generators, iterators, comprehensions, Numpy, Pandas, matplotlib, sklearn, keras, tensorflow, pytorch.
4. Knowledge of supervised, unsupervised, semi-supervised, reinforcement learning.
5. Experience with Machine Learning, Statistics and Probability, NLP, Deep Learning especially experience in recommendation systems, conversational systems, information retrieval, computer vision, regression modeling,.LLM and Agents
6. Experience with Visualization tools matplotlib, seaborn, Qlik, etc..
7. Demonstrated experience writing queries for reporting, analysis and extraction of data from big data systems.

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

1. Knowledge of big data tools (SQL) ie. manipulating mining data from these systems.
2. Ability to work in a fast paced, dynamic work environment.
3. Excellent interpersonal, verbal and written communication skills.