Role: Data Scientist
About Company: Egen is a data engineering and cloud modernization firm helping industry-leading companies achieve digital breakthroughs and deliver for the future, today. We are catalysts for change who create digital breakthroughs at warp speed. Our team of cloud and data engineering experts are trusted by top clients in pursuit of the extraordinary. An Inc. 5000 Fastest Growing Company 7 times, and recently recognized on the Crain’s Chicago Business Fast 50 list, Egen has also been recognized as a great place to work 3 times.
What's the opportunity?
We're seeking a skilled Data Scientist to join our team. You'll analyze, build, and deploy machine learning models on Google Cloud Platform (GCP) or similar platforms to extract insights from data. As a senior team member, you'll lead projects, collaborating with engineers and stakeholders for successful project delivery.
Responsibilities:
• Understand business problems, analyze numerical datasets, and design relevant solutions that may involve machine learning models.
• Design and develop scalable data processing, mining, and machine learning systems.
• Conduct data cleaning, preprocessing, and feature engineering for optimal model performance. • Implement machine learning and deep learning models for various applications such as price optimization, predictive maintenance, and sales forecasting.
• Debug end-to-end data flow and enhance model predictions.
• Build and deploy scalable machine learning pipelines on GCP or equivalent platforms.
• Establish practices for model monitoring, retraining, and versioning.
• Strong proficiency with SQL and its variation among popular databases
• Collaborate with cross-functional teams to understand and translate business needs into technical solutions.
• Able to build visualizations involving reports and other insights on large-scale tabular data and present the technical findings to stakeholders effectively.
• Assist product manager in shaping data science products and offerings.
Qualifications:
• 5 years of overall experience with at least 2 years in Data Science or Machine Learning Engineering.
• Strong numerical crunching and data preprocessing skills.
• Proficiency in end-to-end data processing steps, including data cleaning, exploratory data analysis, outlier handling, and model training.
• Experience in classic supervised ML model training
• Experience in training and deploying supervised machine learning models in production environments.
• Understanding natural language processing (NLP), computer vision, or other deep learning techniques.
• Proficiency in Python and ML libraries like XGBoost, TensorFlow, PyTorch, and Scikit-learn.
• Familiarity with Google Cloud or equivalent Cloud Platforms.
• Excellent communication, collaboration, and problem-solving skills.
• Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field.
Good To Have:
• Google Cloud Certified Professional Machine Learning or TensorFlow Certified Developer certifications.
• Experience in MLOps and related technologies.
• Knowledge of GenAI techniques and applications.
• Master’s degree in statistics, machine learning, or related fields