The Data Analyst is responsible for leading the development of data-driven solutions for clients by utilizing analytical, statistical, and programming skills to analyze large datasets and interpret results
Job Summary
The Data Analyst is responsible for leading the development of data-driven solutions for clients by utilizing analytical, statistical, and programming skills to analyze large datasets and interpret results.
The role involves building and deploying machine learning and deep learning models within a Cloud Native AWS environment, collaborating with data scientists and engineers, and working within an agile framework.
The company offers a comprehensive benefits package designed to support employee wellbeing, including healthcare, paid time off, retirement plans, disability coverage, fertility assistance, and tuition reimbursement.
Matching Summary
The Data Analyst is responsible for leading the development of data-driven solutions for clients by utilizing analytical, statistical, and programming skills to analyze large datasets and interpret results.
Skills & Requirements
Must-have
machine learning and deep learning models
SQL, Python, Pytorch, Pyspark, R, Spark and Scala
Cloud Native AWS environment
data cleaning and feature engineering
unsupervised and supervised learning techniques
MLOPS framework and CI/CD pipelines
agile framework experience
Nice-to-have
collaborate with data scientists and engineers
ensemble modeling techniques
business requirements integration
present findings to diverse audiences
scalable solution delivery
statistical hypothesis testing
recommender systems experience
Key Requirements
Bachelor’s degree in Computer Science, Math, Statistics or related field
0 to 2 years experience
Must be 18 years of age or older
Preferred: Masters Degree in Computer Science or Statistics