Job title: advanced data analyst
job description:
analyze complex data sets, working with structured and unstructured information (text, audio, images, video, etc.). Manipulate high-volume, high-dimensionality data to expose patterns, anomalies, relationships, and trends. Apply ai and machine learning to solve real-world problems.
required skills & qualifications:
* master's or ph.d. degree in computer science, operational research, statistics, applied mathematics, or other engineering disciplines.
* 4+ years of experience with software engineering best practices in a team of 6+ engineers.
* 2+ years working within public cloud ecosystems (aws, gcp, or azure).
technical skills:
* strong programming skills in python.
* expertise in designing & architecting cloud-based data pipelines / microservices.
* experience working with relational (postgresql, mysql), nosql, and columnar databases like bigquery.
* proficiency in building, deploying, and managing applications using docker containers.
* experience in feature engineering, hyperparameter tuning, model evaluation, etc.
* experience with pandas/numpy/scikitlearn, pytorch, tensorflow, huggingface.
* knowledge of modern nlp or computer vision modeling techniques.
* familiarity with deep learning best practices.
* strong technical writing and oral english skills.
preferred qualifications:
* git and github best practices.
* test and behavior driven development.
* linux shell scripting.
* experience with google cloud platform.
* experience with front-end/back-end technologies (react, angular, node.js).
* proficiency in infrastructure-as-code tools, specifically terraform.
* knowledge of ci/cd pipelines and automation frameworks.
leadership skills:
* ability to build and lead high-performing engineering teams.
* understanding of security best practices and data governance.
* problem-solving and troubleshooting skills.
* excellent communication and collaboration skills.
* experience delivering complex projects under tight deadlines.
* experience in manufacturing or automotive sectors preferred.
benefits:
work with cutting-edge technologies and tools to develop innovative solutions. Collaborate with experienced professionals and contribute to the growth of a dynamic company. Develop leadership skills and mentor junior team members.
others:
the company is an equal opportunity employer committed to diversity and inclusion.