LEDA Virtual Job Fair
Employers interested in posting their job openings on the LEDA Virtual job fair (at no cost) can send job description, qualifications, and application method to LEDA's Director of Workforce Development by email.
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Position: Data Scientist (Waitr)
Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business Provide insights to help business and product leaders understand marketplace dynamics, user behaviors, and long-term trends Identify and quantify levers to help move key metrics Recommend which features to build and why Work backwards from understanding and sizing problems to ideating solutions Generate recommendations and use statistical techniques and hypothesis testing to validate your findings. This includes: Performing analytical deep-dives to identify problems, opportunities and actions required; Collecting, processing, and cleaning data from disparate sources using SQL, Python, or other scripting and statistical tools; and Managing the design, execution, and analysis of experiments; driving rigor and testing culture through product and operations teams Report against company initiatives by identifying key metrics and building executive-facing dashboards to track progress Monitor key performance metrics, understanding root causes of changes Build data sets and reporting tables to empower operational and exploratory analysis Partner with engineering to implement, document, validate, and iterate on building solutions at scale Qualifications:
Is high-energy and confident — you’ll do whatever it takes to win Is an owner — driven, focused, and quick to take ownership of your work Is humble — you’re willing to jump in and you’re open to feedback Is Adaptable, resilient, and able to thrive in ambiguity — things change quickly in our fast-paced startup and you’ll need to be able to keep up! Is Growth-minded — you’re eager to expand your skill set and excited to carve out your career path in a hyper-growth setting Has a strong desire for impact — ready to take on a lot of responsibility and work collaboratively with your team Have 2+ years of industry experience developing machine learning models with business impact — more experience preferred Have a B.S., M.S., or PhD. in Statistics, Computer Science, Math, Physics, Economics, or other quantitative field Possess Deep understanding of statistics / machine learning Be able to demonstrate the ability to write well written code (experience with Python preferred) have experience with real-time technology problems have experience with Pandas / Python machine learning libraries have experience with AWS SageMaker
Application Requirements:
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Job Posted: Application Deadline:
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