[Hiring] Lead Data Scientist @ezCater, Inc
Feb 15, 2025 - ezCater, Inc is hiring a remote Lead Data Scientist. đź’¸ Salary: $160,000-$199,000 per year. đź“ŤLocation: USA.
Role Description
We are looking for a Lead Data Scientist to join our thriving Marketing Analytics team, where you'll unleash the power of data to fuel innovation and drive insights that inform our media mix and marketing spend strategy. Collaboration is at the heart of what we do, bridging Marketing, Analytics, Data/ML Engineering, and Product teams. Reporting to our Senior Manager, Marketing Analytics, you'll be the trusted partner of a skilled peer group, playing a pivotal role in finding viable solutions to complex data challenges that fortify our marketing and acquisition strategies. This role isn't just about data; it's about driving innovation and making a tangible impact.
Here, you will bring unparalleled depth of insights and unlock numerous opportunities for the business using an advanced advertising and marketing technology stack. You will be responsible for owning Marketing Mix Modeling and using advanced statistical techniques to solve critical marketing questions requiring data science. At ezCater, data is our compass, guiding every decision, especially within our marketing endeavors. If you are a self-starter who is passionate about understanding the impact of marketing dollars, forecasting future performance, modeling customer behavior, and designing complex time series/regression experiments, we’re excited to hear from you. Your journey to shaping the future of ezCater marketing starts here!
- Own Marketing Mix Modeling (MMM) and use advanced statistical techniques such as Bayesian and causal inference to analyze large datasets, extract meaningful insights, and provide actionable recommendations to marketing
- Design and implement complex A/B testing frameworks to evaluate the impact that marketing spend has on new and existing customers
- Develop predictive models to inform marketing budget spend and optimization, forecast new customers, guide intelligent campaign decisioning, better understand user behavior and estimate LTV to anticipate customer needs and contribute to our data-driven marketing strategy
- Expose patterns across structured and unstructured data to identify business opportunities, working closely with business partners on problems that will materially benefit our customers and our results
- Focus on end-to-end problem solving, serving as an advisor and mentor to other analysts and BI teams on complex problems that require statistics or Python
- Proactively identify opportunities for the application of Advanced Analytics and Machine Learning across ezCater - serve as an advocate for continuous improvement across the analytics space
- Contribute to ezCater’s culture of personal and professional growth by leading projects with multiple stakeholders and mentoring others in this valuable field
Qualifications
- 5+ years experience in data science, statistics, computer science, or a related field, performing statistical modeling and quantitative and technical analysis, ideally with experience in marketplace or e-commerce environments
- Proficiency in Python and SQL is required
- Experience with media mix modeling required
- Experience building multi regression models in a bayesian framework required. Experience with PyMC packages strongly preferred
- Experience with complex experiment design and measuring performance of traditional and digital marketing campaigns is preferred
- Experience working with common packages and knowledge of marketing data science / ML modeling techniques (ex. PyMC, Scikit-learn, K-Means, Decision Trees, Causal Impact, ARIMA(x), Gradient Boosting & Logistic Regression, Random Forest, etc.)
- Experience with both natural and controlled experiment design and a proven ability to solve and communicate complex problems using technical skills, business context, and creativity
- Experience partnering with business teams on nimble and rapid model development
- A proven ability to apply a scientific approach to building models, evaluating statistical outcomes and continuous improvement of your work
- Demonstrated ability collaborating with cross-functional teams on nimble and rapid model development to define and address key business challenges
- Self-directed and demonstrated ability to define, prioritize, and direct analytics initiatives is a must. Be able to own and deliver projects on time on our own
- Our data stack consists of Snowflake, DeepNote, DBT, Airflow, AWS, FiveTran, Sagemaker, MLFlow, Kubernetes + Docker. Any experience with the above is a nice-to-have
- Strong organization skills, time management skills, detail-oriented, and ability to multitask
Requirements
- The national cash compensation range for this role is $160,000-$199,000 per year.
- Please note: Final offer amounts are determined by multiple factors, including prior experience, expertise and region & may vary from the amount above. This range does not represent additional compensation benefits (such as equity, 401K or medical, dental or vision insurance).
- ezCater does not sponsor applicants for work visas or legal permanent residence.
Benefits
- Market salary
- Stock options that you’ll help make worth a lot
- The usual holidays
- All-you-can-eat vacation
- 401K with ezCater match
- Health/dental/FSA
- Long-term disability insurance
- Remote-hybrid work from our awesome Boston or Denver offices OR your home OR a mixture of both home and office (you choose!)
- A tremendous amount of responsibility and autonomy
- Wicked awesome co-workers
- Cupcakes (and many more goodies) when you’re in one of our offices
- Knowing that you helped get this rocket ship to the moon
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| đź“Ť | Be aware of the location restriction for this remote position: USA |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
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Salary
đź’¸
$160,000-$199,000 per year
|
Remote
Location
USA
|
|
Job Type
full-time
|
Posted
Feb 15, 2025
|
| đź“Ť | Be aware of the location restriction for this remote position: USA |
| ‼ | Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more. |
