1848 Ventures is hiring a
Data Scientist

Summary

Join a promising B2B SaaS venture supporting the profitable growth of small to medium sized e-commerce brands. As a Data Scientist, you will help ideate, develop, and iterate on statistical models that predict online shoppers' behavior and drive meaningful sales growth for e-commerce brands through shopping experiences powered by AI/ML and behavioral science.

Requirements

• 5+ years of hands-on experience in data science, machine learning, or a related role
• Proficiency in Python and SQL
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
• Strong understanding of statistical methods and data analysis techniques
• Familiarity with data manipulation and analysis tools (e.g., pandas, NumPy)
• Experience with data visualization frameworks and tools (e.g., Matplotlib, Seaborn) is a plus
• Strong problem-solving skills with the ability to translate complex data into actionable insights
• Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders
• Collaborative spirit with a proactive attitude and the ability to work independently when required

Responsibilities

• Design, develop, and deploy machine learning models tailored to e-commerce use cases
• Perform exploratory data analysis, feature engineering, and statistical modeling to extract actionable insights from web traffic data, user interactions, and transaction histories
• Implement algorithms and models in production environments, ensuring scalability and efficiency to handle large-scale e-commerce data
• Work with product managers, UX designers, and engineers to understand requirements and deliver data-driven solutions that enhance the user journey and increase conversions
• Conduct experiments, A/B testing, and validation of models to ensure robustness and accuracy, optimizing for key e-commerce metrics such as conversion rates, average order value, and customer retention
• Maintain thorough documentation of methodologies, processes, and results to facilitate knowledge sharing and reproducibility
• Stay current with the latest AI and machine learning developments, and proactively identify opportunities to apply new techniques to our e-commerce challenges