Remote Data Scientist - Marketing Analytics & Growth
Clark Associates, Inc., Lititz, PA, United States
Job Summary
Webstaurant Store, the world’s largest online restaurant supply company, is looking for a full-time Data Scientist to join the Data Science team. The Data Scientists are responsible for supplying statistical rigor to the organization’s analytics projects, aimed at discovering actionable insights and opportunities for growth and optimization. This role can be remote in some US states (See below for remote work requirements) or based in one of our offices (Lititz, PA or Tampa, FL). Responsibilities
Responsibilities include, but are not limited to: Advising on analysis and modeling techniques, selecting the best fit for structured & unstructured, complex data, and developing custom analytics models to generate insights that drive value for our customers and unlock competitive advantage for our organization. Collaborating with our analytics engineers to gather the right information from various sources so that you can implement advanced statistical methodologies and design interventions to optimize our business performance. Conducting exploratory analysis including hypothesis testing, statistical inference, and statistical analysis (predictive and/or prescriptive). Maintaining and updating our in-house Media Mix Models (MMM) and Multi-Touch Attribution (MTA) models to ensure they reflect the current state of marketing spend and value Designing, implementing, and analyzing lift / blackout / other experiments to continually improve our attribution models Partnering with business and technical stakeholders, including our Google account team, to translate complex retail challenges into data science solutions. Developing processes and tools that monitor, analyze and continuously improve model performance and data accuracy. Work with other data scientists to design and implement experiments and glean actionable insights from experimental analyses. Defend and explain the validity of predictive/ML models to those without a background in data science or statistics. Actively research new tools and technologies, staying on top of analytics news and best practices.
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Webstaurant Store, the world’s largest online restaurant supply company, is looking for a full-time Data Scientist to join the Data Science team. The Data Scientists are responsible for supplying statistical rigor to the organization’s analytics projects, aimed at discovering actionable insights and opportunities for growth and optimization. This role can be remote in some US states (See below for remote work requirements) or based in one of our offices (Lititz, PA or Tampa, FL). Responsibilities
Responsibilities include, but are not limited to: Advising on analysis and modeling techniques, selecting the best fit for structured & unstructured, complex data, and developing custom analytics models to generate insights that drive value for our customers and unlock competitive advantage for our organization. Collaborating with our analytics engineers to gather the right information from various sources so that you can implement advanced statistical methodologies and design interventions to optimize our business performance. Conducting exploratory analysis including hypothesis testing, statistical inference, and statistical analysis (predictive and/or prescriptive). Maintaining and updating our in-house Media Mix Models (MMM) and Multi-Touch Attribution (MTA) models to ensure they reflect the current state of marketing spend and value Designing, implementing, and analyzing lift / blackout / other experiments to continually improve our attribution models Partnering with business and technical stakeholders, including our Google account team, to translate complex retail challenges into data science solutions. Developing processes and tools that monitor, analyze and continuously improve model performance and data accuracy. Work with other data scientists to design and implement experiments and glean actionable insights from experimental analyses. Defend and explain the validity of predictive/ML models to those without a background in data science or statistics. Actively research new tools and technologies, staying on top of analytics news and best practices.
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