Data Scientist

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.