Senior Data Scientist - Remote

Overview

As a Senior Data Scientist at Metadata.io, you will lead the development and implementation of advanced data analytics solutions aimed at driving actionable insights and optimizing the performance of our autonomous marketing platform. Working closely with our business and product teams, you will analyze key data insights and translate them into integrated product solutions. Your expertise in building machine learning models will be crucial in delivering data-driven insights to our customers.

In Short

• Develop and implement Machine Learning models to analyze large datasets and extract actionable insights.
• Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
• Clean, preprocess, and transform data to prepare for analysis and modeling.
• Explore and analyze complex data sets to identify trends, patterns, and correlations that drive business value.
• Design and evaluate experiments to test hypotheses and improve model performance.
• Develop predictive models to forecast business metrics.

Requirements

• At least 7+ years of experience building complex ML models.
• Marketing domain experience in ad channels such as LinkedIn, Facebook, and Google Ads.
• Expertise in Python & SQL.
• Proficiency in data analysis, machine learning, and statistical modeling.
• Demonstrated ability to develop and execute data science strategies that drive business outcomes.
• Strong leadership, communication, and project management skills.
• Understanding of supervised machine learning and comfort with both traditional modeling techniques and neural networks.
• Prototyping with Python/Jupyter/SQL and deployment with Docker.

Benefits

• Competitive salary and performance-based bonuses.
• Work from Anywhere!
• Flexible PTO & Company Holidays.
• Opportunity to earn equity.
• Comprehensive benefits package, including health, dental, and retirement plan.
• Opportunities for professional development and career growth.
• A supportive and collaborative work environment.