Buyers Edge Platform is looking to revolutionize the food service industry through technology, purchasing power and partnerships. The organization aims to reduce costs, streamline the foodservice supply chain, and propel the industry from manual to automated. The Data Scientist will play a crucial role in developing machine learning algorithms, building data pipelines, and driving insights and predictive suggestions on products purchased.
Requirements
- Proficiency in programming languages such as Python.
- Strong knowledge of machine learning algorithms and libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Experience working with large datasets and developing data pipelines for data extraction, transformation, and loading.
- Proficiency in pandas for efficient data handling and manipulation.
- Strong analytical and problem-solving skills with the ability to think creatively and propose innovative solutions.
- Attention to detail and a passion for working with complex datasets.
- Demonstrated ability to work independently on complex systems and algorithms.
Responsibilities
- Machine Learning Algorithm Development and Predictive Modeling: Utilize your expertise in machine learning to develop algorithms that analyze and interpret large datasets.
- Design and implement models that provide valuable insights, predictive suggestions, and accurate forecasting on consumer behavior, product preferences, and market trends.
- Data Pipeline Development and Data Handling: Design, implement, and maintain data pipelines to extract, transform, and load data from various sources.
- Process and manipulate large amounts of data efficiently, ensuring data integrity, quality, and availability.
- Implement data preprocessing techniques as part of the data pipeline to prepare datasets for analysis and modeling.
- Data Analysis and Exploration: Conduct thorough data analysis and exploration to identify patterns, trends, and anomalies within large datasets.
- Utilize statistical techniques and visualization tools to uncover meaningful insights and drive data-driven decision-making.
Other
- This position is fully remote.
- We are unable to offer work sponsorship for this role.
- Communicate complex technical concepts and the results of your analyses to stakeholders.
- Articulate the intricacies of systems, algorithms, and insights in a clear and concise manner, enabling stakeholders to make informed decisions.
- Collaborate with cross-functional teams, including data engineers, business analysts, and domain experts, to gather requirements, understand business objectives, and align data science initiatives with organizational goals.
