Who are we?
Buyers Edge Platform stands at the forefront of revolutionizing the foodservice industry through technology, purchasing power and partnerships. We are dedicated to empowering stakeholders across the entire foodservice ecosystem (operators, distributors, manufacturers) with efficiency and unprecedented visibility. With a diverse portfolio of over a dozen brands, our mission is clear: to reduce costs, streamline the foodservice supply chain, and propel the industry from manual to automated.
Today, we are one of the largest players in foodservice, with over 200K operator locations across North America and over $50 billion of aggregated spend volume. Our commitment to foodservice excellence is proven in four distinct areas of value: Digital Procurement Network, Fresh Solutions, Supply Chain Management, and Software. Buyers Edge Platform is not just a provider – we are a strategic partner on the journey towards a more efficient, connected, and automated future for the foodservice industry.
This position is fully remote and is based around EDT working hours. We are unable to provide sponsorship for work authorization.
Who are we looking for?
We are seeking a highly skilled and experienced OCR Data Scientist with image recognition machine learning experience, specifically Optical Character Recognition (OCR), to join our dynamic team. As a Data Scientist in our organization, you will play a crucial role in developing machine learning algorithms, building data pipelines, and driving insights and predictive suggestions on products purchased. You will work with large amounts of data, handle data preprocessing tasks, and effectively communicate complex systems and algorithms to stakeholders.
Your impact:
- Machine Learning Algorithm Development and Predictive Modeling: Utilize your expertise in machine learning and optical character recognition to develop algorithms that extract information from invoice images and 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.
- Independent Problem Solving: Work independently on complex systems and algorithms, demonstrating strong problem-solving skills and the ability to handle challenges effectively. Take ownership of projects and drive them to successful completion, meeting both technical and business objectives.
- Communication and Stakeholder Engagement: Effectively 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.
- Collaboration and Teamwork: 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.
What you bring:
- Educational Background: A bachelor's or master's degree in computer science, statistics, mathematics, or a related field.
- Technical Skills: 5+ years’ experience. Proficiency in programming languages such as Python. Strong knowledge of machine learning algorithms and libraries (e.g., scikit-learn, TensorFlow, PyTorch), and experience extracting information out of PDFs or images using machine learning.
- Data Handling and Pipeline Development: Experience working with large datasets and developing data pipelines for data extraction, transformation, and loading. Proficiency in pandas and SQL for efficient data handling and manipulation.
- Analytical Thinking: 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.
- Communication Skills: Excellent written and verbal communication skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical stakeholders. Experience presenting findings and insights to stakeholders at various levels of the organization.
- Independence and Collaboration: Demonstrated ability to work independently on complex systems and algorithms. Strong teamwork and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders.
If you are a talented Data Scientist with a focus on developing machine learning algorithms, data pipeline development, working with large datasets, and effectively communicating complex systems to stakeholders, we invite you to join our team. Together, we will leverage the power of data to drive actionable insights and enhance decision-making.
What’s in this for you?
Amazing coverages to start. Medical, dental, and vision coverages are just the beginning! We also offer ancillary plans, such as flexible spending accounts for both health and dependent care, critical illness, accident, and voluntary life as well as company paid life and long-term-disability plans! On top of this, we also offer a 401(k) plan with company match.
Invest in your success. We will provide you with a thorough training and development program; and offer competitive compensation.
Live well = Work well. Relax with our Personal Responsibility Paid Time Off policy where you don’t have to accrue time off in order to take it! We also have half-day Summer Fridays!
We welcome all.
We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances.
