About the role

We are seeking an experienced Staff Data Scientist to join our dynamic team and play a pivotal role in driving business growth through advanced data science and machine learning techniques. As a key contributor, you will develop and deploy state-of-the-art statistical and ML models, providing actionable insights that influence strategic business decisions. Working closely with cross-functional teams, you will tackle high-impact challenges and continuously innovate to improve our products and services, ensuring we remain at the forefront of data-driven decision-making.

What you’ll do

• Design, build, and deploy sophisticated statistical and machine learning models, with a strong focus on forecasting and optimization to solve complex business problems.
• Develop and apply advanced time series forecasting models to predict future trends and business outcomes, guiding strategic decision-making and resource allocation.
• Create and implement forecasting and optimization models to support critical business functions, helping the company operate more efficiently and effectively.
• Use large, complex datasets to perform exploratory data analysis (EDA), identify key trends, and extract actionable insights that directly influence business and product decisions.
• Collaborate with product managers, engineers, and business stakeholders to define business problems, design and implement modeling solutions that deliver measurable impact.
• Conduct robust A/B testing, model validation, and evaluation to assess model performance and ensure that solutions meet business objectives.
• Continuously improve model performance by experimenting with new techniques, tuning model parameters, and iterating on solutions to enhance accuracy and effectiveness.
• Stay up to date with the latest advancements in machine learning, statistics, and optimization techniques, and apply these innovations to improve model effectiveness.
• Communicate complex technical findings to non-technical stakeholders, creating clear visualizations and reports that convey insights in a digestible and impactful way.

Key qualifications

• Master’s or Ph.D. in Statistics, Mathematics, Computer Science, or a related quantitative field.
• 6+ years of experience in data science with a focus on applying statistical modeling and machine learning to real world business problems.
• Expertise in time series analysis and forecasting models (e.g., ARIMA, Prophet, LSTM), as well as optimization techniques (e.g., linear programming, mixed-integer programming, constraint optimization) to solve complex business problems.
• Strong proficiency in Python, R, or similar programming languages, with fluency in statistical and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience working with large datasets and leveraging cloud platforms (e.g., AWS, GCP) or distributed computing frameworks for data processing.
• Proven ability to apply complex statistical, machine learning, and data visualization techniques to drive measurable business outcomes.
• Excellent communication skills with the ability to explain complex technical models and insights to both technical and non-technical audiences.
• Strong problem-solving skills and the ability to collaborate with cross-functional teams to develop and implement modeling solutions.

The salary compensation range for this role will be commensurate with the candidates experience and Flexs 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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