1848 Ventures, backed by Westfield · 1 week ago
Data Scientist
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Financial Services
Insider Connection @1848 Ventures, backed by Westfield
Responsibilities
Model Development: Design, develop, and deploy machine learning models tailored to e-commerce use cases, such as predicting user behavior, personalizing recommendations, and optimizing conversion rates.
Data Analysis: Perform exploratory data analysis, feature engineering, and statistical modeling to extract actionable insights from web traffic data, user interactions, and transaction histories.
Algorithm Implementation: Implement algorithms and models in production environments, ensuring scalability and efficiency to handle large-scale e-commerce data.
Collaboration: Work with product managers, UX designers, and engineers to understand requirements and deliver data-driven solutions that enhance the user journey and increase conversions.
Experimentation: 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. Interpret experiment results and learnings.
Documentation: Maintain thorough documentation of methodologies, processes, and results to facilitate knowledge sharing and reproducibility.
Innovation: Stay current with the latest AI and machine learning developments, and proactively identify opportunities to apply new techniques to e-commerce challenges.
Qualification
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Required
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).
Preferred
Experience with data visualization frameworks and tools (e.g., Matplotlib, Seaborn, Tableau) is a plus.