Data Scientist
Data Scientist
Job Type: 12-Month Contract
Day Rate: DOE
Location: New York, Hybrid (3 days onsite)
The Company
The Digital Recruitment Company is proud to be working with one of New York’s most exciting fintech payments scale-ups. Backed by leading investors and currently in their Series A growth phase, this company is building cutting-edge payment solutions that are reshaping how businesses transact globally.
They combine the energy of a start-up with the infrastructure to support serious growth. Their mission? To create seamless, secure, and accessible payments for businesses of all sizes—and they’re looking for a Data Scientist to join the charge.
This is your opportunity to be part of a fintech that’s on the brink of something big. You’ll play a key role in driving data-led innovation across their products and services.
The Role
We’re searching for a Data Scientist who’s comfortable rolling up their sleeves in a Series A environment—someone who thrives on ambiguity, loves solving tough problems, and knows how to build data products that scale.
In this role, you’ll collaborate closely with the Product, Engineering, and Risk teams to harness the power of data in optimizing payments, mitigating risks, and unlocking customer insights. From building machine learning models to developing scalable data pipelines, you’ll be central to ensuring this fintech continues to grow smarter and faster.
Key Responsibilities:
• Design and deploy predictive models for fraud detection, risk assessment, and customer analytics.
• Collaborate cross-functionally to transform business needs into data-driven solutions.
• Build scalable data pipelines and ensure data integrity across the organization.
• Perform deep-dive analyses on payment flows, customer behavior, and system performance.
• Communicate insights clearly to technical and non-technical stakeholders alike.
• Stay on the pulse of emerging data technologies to keep the company at the forefront.
Skills & Experience:
• Hands-on experience in a Series A (or early-stage) startup environment—you understand how to navigate ambiguity and scale.
• Strong command of Python, SQL, and machine learning frameworks (scikit-learn, TensorFlow, etc.).
• Experience working with cloud data platforms (AWS, GCP, Azure) and big data technologies (Spark, Hadoop).
• Proven ability in statistical modeling, data mining, and algorithm development.
• Bonus points for experience in fintech or payments—but adaptability and curiosity matter most.
• A proactive mindset with excellent communication skills—you know how to translate data into action.
First 90 Days:
• Immerse yourself in the company’s data infrastructure and key payment systems.
• Deliver actionable insights on customer behavior and payment performance.
• Collaborate with stakeholders to prioritize high-impact data initiatives.
• Begin development of fraud detection and risk models that scale with growth.
Why Apply?
• Be part of a fintech scale-up with serious momentum, shaping the future of payments.
• Work on high-impact projects where your data skills directly drive business outcomes.
• Collaborate with a talented, driven team in a hybrid working environment.
• Enjoy the flexibility and fast pace of a startup with the support of a growing organization.
Data Scientist
Job Type: 12-Month Contract
Day Rate: DOE
Location: New York, Hybrid (3 days onsite)
The Company
The Digital Recruitment Company is proud to be working with one of New York’s most exciting fintech payments scale-ups. Backed by leading investors and currently in their Series A growth phase, this company is building cutting-edge payment solutions that are reshaping how businesses transact globally.
They combine the energy of a start-up with the infrastructure to support serious growth. Their mission? To create seamless, secure, and accessible payments for businesses of all sizes—and they’re looking for a Data Scientist to join the charge.
This is your opportunity to be part of a fintech that’s on the brink of something big. You’ll play a key role in driving data-led innovation across their products and services.
The Role
We’re searching for a Data Scientist who’s comfortable rolling up their sleeves in a Series A environment—someone who thrives on ambiguity, loves solving tough problems, and knows how to build data products that scale.
In this role, you’ll collaborate closely with the Product, Engineering, and Risk teams to harness the power of data in optimizing payments, mitigating risks, and unlocking customer insights. From building machine learning models to developing scalable data pipelines, you’ll be central to ensuring this fintech continues to grow smarter and faster.
Key Responsibilities:
• Design and deploy predictive models for fraud detection, risk assessment, and customer analytics.
• Collaborate cross-functionally to transform business needs into data-driven solutions.
• Build scalable data pipelines and ensure data integrity across the organization.
• Perform deep-dive analyses on payment flows, customer behavior, and system performance.
• Communicate insights clearly to technical and non-technical stakeholders alike.
• Stay on the pulse of emerging data technologies to keep the company at the forefront.
Skills & Experience:
• Hands-on experience in a Series A (or early-stage) startup environment—you understand how to navigate ambiguity and scale.
• Strong command of Python, SQL, and machine learning frameworks (scikit-learn, TensorFlow, etc.).
• Experience working with cloud data platforms (AWS, GCP, Azure) and big data technologies (Spark, Hadoop).
• Proven ability in statistical modeling, data mining, and algorithm development.
• Bonus points for experience in fintech or payments—but adaptability and curiosity matter most.
• A proactive mindset with excellent communication skills—you know how to translate data into action.
First 90 Days:
• Immerse yourself in the company’s data infrastructure and key payment systems.
• Deliver actionable insights on customer behavior and payment performance.
• Collaborate with stakeholders to prioritize high-impact data initiatives.
• Begin development of fraud detection and risk models that scale with growth.
Why Apply?
• Be part of a fintech scale-up with serious momentum, shaping the future of payments.
• Work on high-impact projects where your data skills directly drive business outcomes.
• Collaborate with a talented, driven team in a hybrid working environment.
• Enjoy the flexibility and fast pace of a startup with the support of a growing organization.
