Senior Data Scientist, Machine Learning

We like folks who are creative problem solvers, possess the ability to meet deadlines and have a proven record of delivering in a fast-paced environment.

We actively looking for a passionate and energetic person to join our team. In this role you will be working alongside a talented team of early-stage startup veterans, leaders. This is a team of fun, motivated fast-moving professionals focused on building innovative software solutions for our clients.

We like folks who are creative problem solvers, possess the ability to meet deadlines and have a proven record of delivering in a fast-paced environment.

This is a role that can be done remotely from anywhere in the US.

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About Founders Led Studio

Our name represents our unique approach to delivering transformational value. Our approach is flexible, yet repeatable. Experimental, yet proven. Creative, yet practical. All led by a team who is passionate about their craft and who refuses to compromise on quality.  

We’re an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. If you are smart and good at what you do, apply.

We will welcome you as you are.

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About the Role / Job

We are currently seeking a Senior Data Scientist with expertise in Machine Learning, whose skills will be fundamental in building intelligent products that are not only reactive but proactive in fulfilling user needs. In this role, you will spearhead initiatives to harness machine learning to strengthen risk management frameworks and enhance customer experiences.

As part of this role, you will be responsible for proactively deriving data insights and partnering with engineering, marketing, design, onboarding, and other product business teams to inform how we invest in and build Founder's future. Your work will play an early role in establishing a data-informed culture across Founder's, enabling us to better understand events, react swiftly, and make intelligent investments.

Responsibilities

• In this role, you will spearhead initiatives to harness machine learning to strengthen risk management frameworks and enhance customer experiences
• As part of this role, you will be responsible for proactively deriving data insights and partnering with engineering, marketing, design, onboarding, and other product business teams to inform how we invest in and build Mercury’s future
• Your work will play an early role in establishing a data-informed culture across Mercury, enabling us to better understand events, react swiftly, and make intelligent investments
• Engineer, validate, and deploy machine learning models in production, focusing on personalizing user experiences and automating risk assessment processes to ensure our products continually adapt to meet user needs and mitigate potential risks
• Collaborate closely with product teams to integrate ML insights into our product ecosystem, driving the creation of more intuitive, responsive, and secure banking* solutions
• Apply ML algorithms for real-time fraud detection, credit risk assessment, market risk prediction, and regulatory compliance monitoring, ensuring a robust risk management framework
• Partner with engineering, design, and business teams to implement ML-driven recommendations, fostering a culture of data-informed decision-making and continuous product innovation
• Stay updated on the latest ML technologies and methodologies, iterate on existing models, and explore new avenues to enhance product intelligence and operational efficiency
• Educate cross-functional teams on ML best practices and advocate for the adoption of ML-driven approaches in product development and decision-making processes

Qualifications

• Have 4+ years of experience in developing and deploying machine learning models, preferably in a fintech or banking environment.
• Be proficient in SQL, Python, and other ML-related technologies, with a robust understanding of data pipelines, databases, and data visualization tools.

• Exhibit a proactive approach, capable of translating business questions into analytical problems, conducting the analysis autonomously, and effectively communicating findings to non-technical stakeholders.
• Demonstrate a keen product sensibility, understanding how ML insights can be translated into actionable product enhancements.

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The starting base pay for the Sr. Data Scientist  (Contractor) roles. The actual hourly rate is dependent upon many factors, such as: experience, knowledge, skills, and market demands. The base pay range is subject to change and may be modified in the future. Please review our full Contractor Requirements before applying for this position.