1848 Ventures, backed by Westfield is hiring a
Data Scientist in United States

Logo of 1848 Ventures, backed by Westfield
Data Scientist
🏢 1848 Ventures, backed by Westfield
💵 ~$41k-$72k
📍United States
📅 Posted on Jul 11, 2024


The job is for a Data Scientist at Vandra, a B2B SaaS company backed by Westfield® that focuses on building AI-powered digital products for small to medium businesses. The role involves developing machine learning models for e-commerce use cases and collaborating with various teams.


  • Experience: 5+ years of hands-on experience in data science, machine learning, or a related role
  • Technical Skills: 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
  • Analytical Mindset: Strong problem-solving skills with the ability to translate complex data into actionable insights
  • Communication: Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical stakeholders
  • Team Player: Collaborative spirit with a proactive attitude and the ability to work independently when required


  • Model Development: Design, develop, and deploy machine learning models tailored to e-commerce use cases
  • 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
  • Collaboration: Work with product managers, UX designers, and engineers to understand requirements and deliver data-driven solutions
  • Experimentation: Conduct experiments, A/B testing, and validation of models to ensure robustness and accuracy
  • Documentation: Maintain thorough documentation of methodologies, processes, and results

Preferred Qualifications

Experience with data manipulation and analysis tools (e.g., pandas, NumPy), experience with data visualization frameworks and tools (e.g., Matplotlib, Seaborn, Tableau) is a plus

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