Job Description

Senior Engineer- Data Science Verizon

Lead development of advanced machine learning and statistical models
Design scalable data pipelines using PySpark
Perform data transformation and exploratory analysis using Pandas, Numpy and SQL
Build, train and fine tune machine learning and deep learning models using TensorFlow and PyTorch
Mentor junior engineers and lead code reviews, best practices and documentation.
Designing and implementing big data, streaming AI/ML training and prediction pipelines.
Translate complex business problems into data driven solutions.
Promote best practices in data science, and model governance .
Stay ahead with evolving technologies and guide strategic data initiatives.
What we’re looking for

You’ll need to have:

Bachelor’s degree or four or more years of work experience.
Experience in Python, PySpark and SQL.
Strong proficiency in Pandas, Numpy, Excel, Plotly, Matplotlib, Seaborn, ETL, AWS and Sagemaker
Experience in Supervised learning models: Regression, Classification and Unsupervised learning models: Anomaly detection, clustering.
Extensive experience with AWS analytics services, including Redshift, Glue, Athena, Lambda, and Kinesis.
Knowledge in Deep Learning Autoencoders, CNN. RNN, LSTM, hybrid models
Experience in Model evaluation, cross validation, hyper parameters tuning
Familiarity with data visualization tools and techniques.
Even better if you have one or more of the following:

Experience with machine learning and statistical analysis.
Experience in Hypothesis testing.
Excellent communication skills with the ability to translate complex technical concepts to non-technical stakeholders.
Role: Data Science & Machine Learning – Other
Industry Type: Telecom / ISP
Department: Data Science & Analytics
Employment Type: Full Time, Permanent
Role Category: Data Science & Machine Learning
Education
UG: Any Graduate
PG: Any Postgraduate