Join Our Team at 1848 Ventures!

The Company

1848 Ventures is a cutting-edge venture studio dedicated to creating, launching, and scaling breakthrough B2B SaaS companies. We harness AI technology to fuel growth and innovation for small and medium-sized businesses. With the backing of Westfield®, a leader in commercial insurance, we specialize in developing digital products that address everyday challenges for businesses across key industries such as construction, real estate, hospitality, retail, and restaurants. This support allows us to explore new ideas, navigate uncertainties, and pursue ambitious ventures with confidence.

Our team is composed of expert venture builders, data scientists, engineers, and designers. By leveraging repeatable playbooks, we rapidly validate, build, and scale AI-enabled startups that focus on customer needs. At 1848 Ventures, culture is fundamental to our operations, defined by our behaviors, rituals, and practices. Our culture, grounded in virtues, drives our pursuit of excellence, reflected and measured by our actions. Join us and contribute to an evolving environment that fosters professional growth and collaborative success.

The Opportunity

We invite you to become part of Vandra, a promising B2B SaaS venture supporting the growth of small to medium-sized e-commerce brands. Leveraging sophisticated AI and machine learning algorithms, combined with behavioral science, Vandra enables brands to maximize sales from existing site traffic.

We are currently seeking a Data Scientist to join our dynamic team. You will play a critical role in ideating, developing, and iterating on statistical models that predict online shopper behavior and drive significant sales growth for e-commerce brands. Working alongside data scientists, product managers, and software engineers, you will own models end-to-end, from exploratory data analysis and feature engineering to model training and deployment.

This role suits an entrepreneurial individual who thrives in fast-paced environments and can adapt to change. Your involvement will span all aspects of product and business development. Comfort with uncharted environments and a willingness to learn new technologies are essential.

Responsibilities

• Model Development: Design, develop, and deploy machine learning models for e-commerce use cases, such as predicting user behavior, personalizing recommendations, and optimizing conversion rates.
• Data Analysis: Conduct exploratory data analysis, feature engineering, and statistical modeling to uncover actionable insights from web traffic, user interactions, and transaction history.
• Algorithm Implementation: Implement scalable and efficient algorithms in production environments for handling large-scale e-commerce data.
• Collaboration: Work closely with product managers, UX designers, and engineers to deliver data-driven solutions enhancing the user journey and increasing conversions.
• Experimentation: Conduct experiments, A/B testing, and validate models to ensure robustness and accuracy, optimizing key e-commerce metrics like conversion rates, average order value, and customer retention. Interpret experiment results and learnings.
• Documentation: Maintain comprehensive documentation of methodologies, processes, and results for knowledge sharing and reproducibility.
• Innovation: Stay updated on the latest AI and machine learning advancements and identify opportunities to apply new techniques to our e-commerce challenges.

Qualifications

• Experience: 5+ years of hands-on experience in data science, machine learning, or a related field.
• 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.
  • Familiarity with data manipulation and analysis tools (e.g., pandas, NumPy).
  • Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) is a plus.
• Analytical Mindset: Strong problem-solving skills and the ability to translate complex data into actionable insights.
• Communication: Excellent written and verbal communication skills, capable of explaining technical concepts to non-technical stakeholders.
• Team Player: A collaborative spirit with a proactive attitude, able to work independently when needed.

We are an equal opportunity employer. Minorities, females, individuals with disabilities