Description

You will design and deploy predictive models and machine learning solutions to drive business outcomes across the full lifecycle.

This role is on-site.

Responsibilities

• Design and implement machine learning algorithms including Linear/Logistic Regression, SVM, Decision Trees, XGBoost, and LightGBM.
• Develop and deploy models using Python, SQL, and R to solve complex business problems.
• Create interactive dashboards and visualizations using Domo, Tableau, PowerBI, D3.js, and Matplotlib.
• Communicate data insights through compelling storytelling for diverse stakeholders.
• Collaborate with cross-functional teams to integrate data solutions into business processes.

Required Skills

• 10+ years of professional experience in Data Science.
• Proficiency in Python, SQL, and R programming languages.
• Hands-on experience with cloud platforms AWS and Azure.
• Experience with big data ecosystems, specifically Hadoop.
• Expertise in machine learning techniques and statistical modeling.
• Proficiency with data visualization tools like Domo and Tableau.
• Experience utilizing MySQL and SQL for data manipulation.

Preferred Skills

• Experience with advanced analytics and big data tools.
• Familiarity with NLP, deep learning frameworks, and modern visualization libraries.

Key Skills

Education

Bachelor's or Master's degrees