Remote Data Scientist Position – Global FinTech Hub – Join Our Innovation Team

Are you passionate about turning complex data into actionable insights that drive financial breakthroughs? At QuantumLeap Analytics, we empower Fortune‑500 institutions with AI‑driven solutions, and we’re seeking a talented Data Scientist to shape the future of finance from anywhere in the United States. This is your chance to work on high‑impact projects, collaborate with world‑class engineers, and grow your career while enjoying the flexibility of a fully remote environment.

About the Role

Our Data Science team is at the heart of QuantumLeap’s mission to revolutionize risk modeling, fraud detection, and personalized banking experiences. As a Remote Data Scientist, you will design, develop, and deploy machine‑learning models that enhance product performance and customer satisfaction. You will partner with product managers, engineers, and domain experts to translate business objectives into data‑centric strategies, ensuring that our solutions are both innovative and commercially viable.

Key Responsibilities

• Develop and implement predictive models for credit scoring, transaction monitoring, and customer segmentation.
• Perform exploratory data analysis to uncover hidden patterns and generate business insights.
• Collaborate with cross‑functional teams to integrate data pipelines and ensure model scalability.
• Maintain model governance, documentation, and compliance with industry regulations.
• Present findings and recommendations to senior leadership in clear, non‑technical terms.

Requirements

We are looking for a candidate with a strong analytical mindset and a proven track record of delivering data‑driven results in a fast‑paced environment.

• Master’s or Ph.D. in Computer Science, Statistics, Applied Mathematics, or a related field.
• 5+ years of professional experience in data science, preferably within fintech or financial services.
• Proficiency in Python and SQL, with extensive experience using libraries such as Pandas, Scikit‑learn, and TensorFlow.
• Strong background in statistical modeling, hypothesis testing, and experimental design.
• Excellent communication skills and the ability to translate complex concepts for diverse audiences.
• Experience with cloud platforms (AWS, Azure, or GCP) and big‑data tools like Spark is a plus.

Benefits

QuantumLeap offers a competitive compensation package and a suite of benefits designed to support your professional growth and well‑being.

• Industry‑leading salary and performance‑based bonuses.
• Comprehensive health, dental, and vision insurance.
• 401(k) plan with company match and continuous learning stipend.
• Generous paid time off and flexible work‑from‑anywhere policy.
• Monthly wellness allowance and access to mental‑health resources.
• Dynamic team culture with regular hackathons, mentorship programs, and tech talks.

Salary Range

We offer a transparent salary range that reflects market standards and your expertise: $85,000 – $115,000 USD per year. Compensation is determined based on experience, qualifications, and location.

Why Join QuantumLeap Analytics

By joining our remote team, you will be part of a forward‑thinking organization that values innovation, collaboration, and impact. Our global clientele spans banking, insurance, and investment sectors, providing you with diverse projects that stretch your capabilities. We champion a culture of continuous learning, empowering you to stay ahead of emerging technologies while enjoying the freedom of a fully remote workspace. If you are ready to leverage data to shape the future of finance, we invite you to bring your expertise and ambition to QuantumLeap.