Senior Staff Data Scientist (Growth)

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

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