What are the responsibilities and job description for the Senior Data Scientist position at Society of Exploration Geophysicists?
FreshDirect is building a better food system by connecting people closer to the highest quality, freshest food possible through a best-in-class delivery experience. We do this by having higher standards, sourcing locally and sustainably, and caring more for the people and communities we serve.
From the beginning, FreshDirect has set out to provide something different. This is an environment in which associates can innovate, grow and have successful careers—most of our leaders have come up through our ranks. And thanks to our team’s extraordinary efforts, we are a leading innovator in the e-commerce and grocery industries.
We are seeking a highly skilled and experienced Senior Data Scientist to join our dynamic Data Science team. In this role, you will drive critical projects that leverage data to solve complex business problems and enhance customer experiences. You will work closely with cross-functional teams, including engineering, product, marketing, and operations, to develop and implement advanced analytics and machine learning models that inform strategic decision-making across the organization.
Key Responsibilities :
- Lead the design, development, and deployment of machine learning models to optimize key business functions such as demand forecasting, inventory management, and customer personalization.
- Collaborate with stakeholders to identify high-impact opportunities for data-driven improvements and provide actionable insights to support business strategies.
- Mentor and guide junior data scientists and analysts, fostering a culture of continuous learning and innovation within the team.
- Develop and maintain scalable data pipelines and workflows to ensure the seamless integration of data sources across various systems.
- Conduct exploratory data analysis to uncover trends, patterns, and anomalies that inform business decisions.
- Work with engineering teams to implement models in production environments and ensure their robustness and scalability.
- Communicate complex analytical findings and insights to non-technical stakeholders in a clear and actionable manner.
- Stay up-to-date with the latest advancements in data science, machine learning, and artificial intelligence, and apply new techniques to improve existing processes and models.
Qualifications :
Benefits :
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