Lead Data Scientist, Predictive Modeling - eCommerce (Remote)

Preferable Location(s): San Francisco, United States of America | New York, United States of America
Work Type: Full Time

We are looking for a talented and driven Data Scientist to join the growing team at one of our portfolio companies, Panorama AI. In this role, you will develop and implement predictive models for use cases such as product recommendations or predictive discount offers designed for use in retail / eCommerce scenarios. Your work will directly impact how our clients understand and engage with their customers, driving personalization and improving overall customer experience. 

Key Responsibilities: 

  • Model Development: Design, develop, and deploy predictive models for product recommendations, customer lifetime value predictions, discount optimization, and more.
  • Data Analysis: Analyze large datasets from various sources (transactional, behavioral, demographic) to extract meaningful insights and patterns.
  • Machine Learning: Implement and fine-tune machine learning algorithms (e.g., neural networks, decision trees, clustering) to improve model accuracy and performance.
  • Collaborate: Work closely with engineering, product, and customer success teams to integrate predictive models into the Panorama AI platform.
  • Reporting: Create and maintain comprehensive documentation of models and methodologies. Present findings and insights to stakeholders.
  • Continuous Improvement: Monitor model performance and implement improvements based on feedback and changing data patterns.
You should have:
  • Education:Master’s or Ph.D. in Data Science, Computer Science, Statistics, or a related field preferred.
    • Candidates with a Bachelors degree will be considered with equivalent industry experience and technical skills (minimum 5 years developing predictive models in eCommerce specifically).
  • Experience:
    • 3 - 7 years of relevant experience.
    • Proven experience in developing predictive models and machine learning algorithms.
    • Experience with eCommerce data and applications.
  • Technical Skills:
    • Proficient in programming languages such as Python or R.
    • Familiar with MLOps toolkits and Data Science working suites like Google Vertex.
    • Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
    • Experience with data manipulation and analysis tools (e.g., SQL, Pandas).
    • Familiarity with data visualization tools (e.g., Tableau, Matplotlib).
  • Soft Skills:
    • Excellent problem-solving skills and attention to detail.
    • Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders.
    • Ability to work independently and as part of a collaborative team.
  • Truly remote work. We encourage employees to do what they need to deliver their absolute best performance. Whether that is working from a coworking space, your home, or a beach — we are focused on the results you deliver not your location.
  • Dynamic and inclusive work environment with a focus on innovation; you will be leveraging the latest in your field to build cutting edge data science applications.
  • Comprehensive health, dental, and vision insurance.
  • Flexible, core working hours.
We are not a family. And our culture is not for everyone. We are a team. Our principles reflect the unyielding nature that is required for startups to succeed. If you see your own qualities mirrored in these values, and seek to surround yourself with others who embody them, you are likely to find your place and grow with us.
  • Determination: We set high standards and maintain momentum through ups and downs.
  • Craft & Quality: We are committed to our crafts and producing high quality work.
  • Curiosity: We revel in new challenges and approach them with curiosity.
  • Optimistic realism: We believe that things work out for the best when hard work and thoughtful consideration come together.
  • Clear, thoughtful communication: We unify teams through transparent and intentional communication.
  • Personal responsibility: We create trust by working with a high sense of ownership.
  • Self-awareness: We are introspective, committed to personal development, and have an acute understanding of how we each impact the team and company as a whole.
About Us:

At Panorama AI, we are passionate about empowering our clients with the tools and insights they need to succeed in a competitive market. Our predictive models and AI-driven insights help retailers understand their customers on a deeper level, driving personalized experiences and maximizing revenue. Join us in our mission to revolutionize eCommerce personalization!

UP.Labs Summary:

We build high-growth technology startups that enable faster, cleaner, and safer movement of people and goods. Our vision is to transform the moving world by pairing leading corporations and entrepreneurs with a proven methodology for launching and scaling software and hardware companies.

Our platform is unique in three ways:

  1. Risk: We reward our entire team and ecosystem of partners with meaningful equity

  2. Technology: We build and launch scalable technology products that form the basis for each venture

  3. Industry Focus: We stay focused on the underlying fabric of mobility

We work with corporate investors over a multi-year period to launch a portfolio of ventures. Our team is dedicated to the first year of a new venture’s life cycle: from ideation to minimum viable product build - and beyond.

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