Senior Staff Data Scientist (Growth)

Flex; United States; Remote; USD 188,000 - 203,000; Full time

Job summary

A growth-stage FinTech company is seeking a Senior Staff Data Scientist to lead the development of machine learning systems. This role involves collaborating with cross-functional teams to drive business growth through innovative solutions. The ideal candidate will have extensive experience in statistical modeling and machine learning, with strong programming skills in Python or R.

Benefits

100% company-paid medical, dental, and vision

401(k) + company equity

Unlimited paid time off

Parental leave

Flex Cares Program

Free Flex subscription

Qualifications

• 6+ years of experience in data science, specializing in statistical modeling and machine learning.
• Proven track record of leveraging advanced statistical and machine learning techniques.

Responsibilities

• Design, develop, and implement machine learning models to enhance consumer experiences.
• Collaborate with product managers and engineers to translate requirements into technical solutions.
• Evaluate model performance and iterate on improvements to enhance accuracy.

Skills

Python

R

Statistical Modeling

Machine Learning

Data Visualization

Problem Solving

Education

Master’s or Ph.D. in Statistics

Master’s or Ph.D. in Mathematics

Master’s or Ph.D. in Computer Science

Tools

scikit-learn

TensorFlow

PyTorch

AWS

GCP

Job description

Flex is a growth-stage, NYC headquartered FinTech company that is creating the best rent payment experience. It’s hard to believe that it’s 2025 and paying rent on time is expensive, inflexible, and difficult. We’re here to change that! Flex enables our users to pay rent throughout the month on a schedule that better fits their finances and budget. Our mission is to empower as many renters as possible with flexibility over their most significant recurring expense. After deliberately keeping a stealth profile as we built up unprecedented investor support and an enthusiastic user base, we are looking for motivated individuals to help us keep our mission growing. Will you be a part of the team?

About the role

We are seeking a Senior Staff Data Scientist to join our dynamic team and take a leading role in developing cutting-edge machine learning systems that drive business growth. As a key technical contributor, you will drive the development, deployment, and scalability of machine learning models in a production environment, ensuring they deliver value and performance at scale. You will collaborate closely with data scientists, product teams and engineers to implement state-of-the-art solutions that power our consumer growth through continuous innovation.

What you’ll do

• Design, develop, and implement cutting-edge statistical and machine learning models to effectively enhance consumer experiences and drive growth.
• Take technical ownership of the end-to-end ML project life cycle, from data collection and preprocessing to model development, deployment, post-launch monitoring and maintenance, as well as sunsetting.
• Leverage large-scale datasets to conduct exploratory data analysis and visualization, extracting actionable insights that guide strategic decision-making.
• Collaborate with product managers, engineers, business and compliance stakeholders to understand requirements and translate them into technical solutions.
• Build robust data pipelines and infrastructure to support model development, training, and deployment in a production environment.
• Evaluate model performance, conduct A/B testing, and iterate on model improvements to enhance accuracy and effectiveness.
• Stay current with industry trends, research advancements, and best practices in machine learning and fintech.
  

Key qualifications

• Master’s or Ph.D. in Statistics, Mathematics, Computer Science, or a related quantitative field.
• 6+ years of experience in data science, specializing in statistical modeling and machine learning applied to real-world challenges.
• Expertise in predictive modeling, optimization techniques, and causal inference to address complex business problems.
• Strong proficiency in Python, R, or similar programming languages, with deep knowledge of statistical and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Hands-on experience with large datasets, cloud platforms (e.g., AWS, GCP), or distributed computing frameworks for data processing.
• Proven track record of leveraging advanced statistical, machine learning, and data visualization techniques to drive measurable business outcomes.
• Exceptional communication skills, with the ability to articulate complex technical models and insights to both technical and non-technical audiences.
• Strong problem-solving abilities and a collaborative mindset, working effectively with cross-functional teams to develop and deploy impactful solutions.

The salary compensation range for this role will be commensurate with the candidate's experience and Flex's internal leveling guidelines and benchmarks.

• For working locations in NY/NJ/CA, the base salary pay range will be $209,000-225,000
• For all other states, the base salary pay range will be $188,000-203,000

#LI-Remote

Life at Flex:

We understand that it takes a diverse team of highly intelligent, curious, determined, empathetic, and self aware people to grow a successful company. Our HQ is located in New York City, but we have employees located throughout the US, Australia, Canada and South America. We are growing quickly, but deliberately, with a focus on building an inclusive culture. Our dynamic team has incredible perspectives to share, just as we know you do, and we take great pride in being an equal opportunity workplace.

We offer many employee benefits. For full time, U.S. based employees we offer:

• Competitive pay
• 100% company-paid medical, dental, and vision
• 401(k) + company equity
• Unlimited paid time off with a PTO minimum + 13 company paid holidays
• Parental leave
• Flex Cares Program: Non-profit company match + pet adoption coverage
• Free Flex subscription

For full time non-US employees, we offer

• Competitive Pay
• Company Equity
• Unlimited PTO