Remote Data Scientist

Join Our Team as Remote Data Scientist

At Hyperion360, we believe in empowering our engineers to shape the future of technology from the comfort of their own homes. We are a premier software outsourcing company, partnering with some of the world’s most successful businesses to build and manage dedicated, remote teams of top-tier software engineers and other technical talent.

We are looking for a talented Remote Data Scientist to join our global team.

About This Role

Join a tight-knit team of builders and problem-solvers who are reshaping the future of marketing intelligence.

Job Description

Summary

Our client is redefining marketing with the first AI Audience Intelligence platform that pinpoints high-value audiences based on business context. While sports and event marketers often have data, they lack clarity on what to do with it. This platform delivers actionable insights—what offers to send, to whom, when, and with what message.

By combining generative AI with over 100 proprietary modules, it translates complex goals into efficient, data-driven campaigns. Marketing workflows that once took months now take weeks. Trusted by leading organizations—including a top MLB team—they’re already impacting industries like sports, entertainment, and soon fashion and travel.

Backed by Alchemist, Silicon Valley’s top B2B accelerator, they’re ranked in the top 25% for investor interest and are wrapping up a strong pre-seed round. It’s an exciting moment as they prepare for rapid expansion.

Core values:

  • Humility – Always learning.

  • Adaptability – Staying ahead in a fast-moving space.

  • Transparency – Tackling challenges openly as a team.

  • Proactivity – Thinking ahead, pushing boundaries.

  • Authenticity – Be yourself and enjoy the ride.

About the Role

As a Data Scientist, you will play a pivotal role in developing and deploying AI/ML models that analyze vast datasets from ticketing systems, CRMs, and marketing campaigns. You’ll collaborate with cross-functional teams to create predictive insights on customer preferences, buying readiness, and optimal marketing channels. This role is ideal for a problem-solver passionate about turning data overload into high-impact, revenue-driving solutions in fast-paced industries like sports and e-commerce.

What you’ll do:

  • Design, build, and optimize machine learning models for predictive analytics, including customer segmentation, churn prediction, revenue forecasting, and personalized offer recommendations.

  • Analyze large-scale datasets from diverse sources (e.g., booking data, loyalty programs, and campaign metrics) to identify patterns in customer behavior and marketing effectiveness.

  • Develop proprietary AI algorithms and integrate them with Customer Data Platforms (CDPs) and CRMs to enable real-time insights and automated campaigns.

  • Collaborate with product, engineering, and marketing teams to assess client needs, write custom code, and deliver tailored AI solutions that address challenges like cart abandonment, pricing strategies, and event attendance optimization.

  • Conduct exploratory data analysis (EDA) and A/B testing to validate model performance and ensure accuracy in targeting (e.g., identifying ideal fans for specific events or demographics).

  • Monitor and refine models for scalability, focusing on speed-to-revenue by reducing deployment times from months to weeks or seconds.

  • Stay ahead of industry trends in AI/ML, contributing to our library of over 100 proprietary modules for applications in live events, travel, and e-commerce.

  • Present insights and recommendations to stakeholders, translating complex data findings into actionable business strategies.

Your background and skills will include:

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field (PhD preferred).

  • 4+ years of experience in data science or machine learning roles, with a proven track record in predictive modeling and analytics.

  • Proficiency in programming languages such as Python or R, and experience with ML frameworks like TensorFlow, PyTorch, scikit-learn, or similar.

  • Strong knowledge of statistical methods, data processing tools (e.g., Pandas, NumPy, SQL), and big data technologies (e.g., Spark, Hadoop).

  • Experience working with marketing or customer data, including integration with CRMs/CDPs and handling unstructured data from sources like reviews or social interactions.

  • Familiarity with AI-driven applications in e-commerce, travel, or entertainment sectors.

  • Excellent problem-solving skills and the ability to work in a collaborative, agile environment.

  • Experience in building AI solutions for revenue optimization, audience intelligence, or personalized marketing.

  • Knowledge of cloud platforms (e.g., AWS, Google Cloud) for model deployment and scaling.

  • Background in domains like sports analytics, event ticketing, or hospitality data.

  • Publications or contributions to open-source AI/ML projects.

  • Ability to handle multilingual or international datasets for global clients.

Why Choose Hyperion360?

  • Remote-First Culture: Work from anywhere with flexible hours
  • Top-Tier Clients: Partner with Fortune 500 companies and top startups
  • Professional Growth: Continuous learning and development opportunities
  • Competitive Compensation: Market-leading salaries and benefits
  • Global Team: Collaborate with talented professionals worldwide

Ready to take your career to the next level? Apply today and become part of Hyperion360’s elite team!