Flex · 4 hours ago
Staff Data Scientist
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Responsibilities
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.
Qualification
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Required
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.
Benefits
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
Company
Flex
Flex enables people to pay bills on a schedule that fits their personal finances.
H1B Sponsorship
Flex has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (2)
2022 (11)
2021 (3)
2020 (2)
Funding
Current Stage
Growth StageTotal Funding
$5.8MKey Investors
MatrixRestive
2019-11-01Seed· $5.5M
2019-07-24Pre Seed· $0.3M
Recent News
2023-12-15
Company data provided by crunchbase