Lucid Intel helps financial institutions, lead aggregators, and publishers detect and prevent fraud in alternative lending. Our powerful fraud detection technology analyzes billions of data points to identify risky transactions, helping our clients make smarter, more cost-effective decisions. By reducing reliance on expensive credit bureau checks, we help businesses cut costs by 15-50% while also preventing payment fraud. With our advanced systems and deep data insights, we bring clarity and confidence to the lending and lead purchasing process.
We are a growing and profitable advertising technology company that values ethics, continuous improvement, gratitude, and teamwork. We strive for top performance in our industry, but how we achieve success matters most. Thank you for considering applying your skills and experience to Lucid Intel.
About the Role
We’re looking to add a Data Science to our team. This role will report to the Chief Revenue Officer and work closely with our three founders as well. Our founders are deeply invested in training and developing the hired candidate into a world-class professional who will take on increasing responsibilities.
Key Responsibilities
- Develop models, scores, and attributes that improve our clients’ bottom lines.
- Participate in data studies to analyze the performance of our products and their success in meeting key client performance metrics.
- Build predictive models, scores, and attributes that are marketable to our audience.
- Test our models, scores and attributes with a client’s test data and create a powerpoint with the sales team that showcases how our products work for each client.
- Work collaboratively with sales and the backend engineers to create innovative solutions that push our products forward.
- Engage with clients and internal teams to become an expert in our unique industry, understanding the real-world impact of our data science applications.
- Perform rigorous quality assurance to ensure data integrity and accuracy.
- Stay up to date with the latest advancements in AI and machine learning, applying innovative approaches to our evolving methodologies.
Required Skills & Experience
- 2+ years of experience in data science, AI, or machine learning (we prioritize skill over tenure).
- Proficiency in Python and its data science libraries (e.g., Pandas, NumPy, Scikit-learn, Matplotlib).
- Experience developing predictive models and scores to drive business outcomes.
- Strong data visualization and storytelling skills, with the ability to communicate insights to both technical and non-technical stakeholders.
- Proficiency with machine learning frameworks, including TensorFlow, PyTorch, or AutoGluon.
- Understanding of how data science contributes to revenue growth and business strategy.
- A collaborative mindset with a strong desire to learn and innovate.
- Ability to thrive in a fast-paced, evolving environment where adaptability is key.
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