Senior Data Scientist

Profile

The Data Science and Advanced Analytics is a part of IaaS (Insights as a Service) team, that is transforming the way Tyson works. The data first approach has enabled data and technology driven decision-making. You might be surprised with the tech we're exploring at Tyson! From AI and machine learning to robotics and automation, what we work on is found on farms, in plants, at our corporate offices, and in the hands of our CEO.

We are seeking experienced members to join the Tyson Foods who are passionate about data and applying the latest machine learning and computer vision technology to solve business problems. As a Data Scientist supporting the Data Science and Advanced Analytics team, you will be responsible for facilitating the development of the models and tools that progress the company along its digital journey. In this role, you will work alongside Data Scientists, Data Engineers and the Business to identify the customer requirements to develop and deploy Advanced Analytics, Machine Learning, Deep Learning and Computer Vision models into production using an array of different tools.

You will have an impact on the largest protein supplier in the US and the second largest in the world, as part of a team of over 120,000 team members keeping America (and the world) fed. This position reports to the Senior Director of Advanced Analytics & Data Science and is an opportunity to get in on the ground floor of a quickly growing team with high visibility.

Check out Tyson Technology!

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What We Look For


This is a relatively new department with a fast-growing team. We are looking for self-starters interested in growing with the department with a strong desire to take projects from exploration to deployment. Expect a startup-style environment with close collaboration between Data Science teammates, Insights/Delivery as a Service teams, and the business
We have a large number of potential projects in Supply Chain, Finance, Sales, Trade, Marketing, Food Safety, and R&D. As a result, we find that driven and genuinely curious people thrive here (not what but why). Expect to be involved with multiple projects, with timelines from weeks to years. We desire candidates who can accomplish tasks without extensive direction
Our colleagues have diverse backgrounds; as such, candidates must be comfortable in an environment of whiteboard sessions to bounce ideas around on development of new models and approach, among both on-site and remote teammates. Plan on working closely on a diverse number of Data Science & Advanced Analytics initiatives, transforming the company direction
We are looking for candidates capable of processing data from different data sources, gather insights and build custom models to solve business problems
Lead, mentor, coach and train junior team members to ensure appropriate growth in skills, knowledge and scalability of the department
Participate and provide technical leadership in all phases of a project from discovery and planning through implementation and delivery
Strong People management and Project management skills are preferred
Ability to communicate and teach Data Science concepts to non-technical audience


What Skills You Need


Education/Experience
Bachelors (Masters is preferred) in Computer Science, Computer Engineering or related fields
7 years of experience in ML, DL or Computer Vision and a history of Cloud deployment
Experience in more than one area is strongly preferred















IT, Cloud, and Deployment Skills
Strong software development skills with proficiency in Python or similar languages (we are largely a GCP / Python shop)
Experience of working in cloud-based environment such as GCP
Experience in scalable machine learning model deployment in cloud-based containerized environment using Docker, Kubernetes or similar
Experience of working with CI/CD pipelines and version control frameworks such as Git
Experience in deploying models using REST APIs and JSON
Experience in SQL, Big Query, S3/Google bucket is strongly preferred
Knowledge of distributed frameworks: Spark or similar















Machine Learning and Data Science Knowledge
Experience in Supervised, Unsupervised Machine learning techniques, Time series forecasting models and AutoML
Strong foundation in Probability, Statistics and Design of Experiments (DOE)
Experience in Deep learning techniques for Computer Vision and Deep learning frameworks preferably Tensorflow-Keras
Knowledge of Linear programming and other Operations Research techniques
Familiarity with Natural Language Processing (NLP) techniques


What’s in it for you?


Competitive benefits package with medical, dental, vision, and profit sharing
Retirement 401k with company matching
Continued education support and conference attendance
Onsite facilities: Brand new downtown tech center with local restaurants within walking distance, a competitive table tennis atmosphere, and a positive/fun work environment


Travel


Ability to work in an onshore / offshore environment and at times with a managed IT service provider
Some international travel may be required. Amount of travel will be determined by individual project requirements


Work Shift:

1ST SHIFT (United States of America)

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Our team members make the difference. If you are ready to grow your career with an industry leader and want to positively impact the team and community around you, then join us in helping us in raising expectations.Join us on the journey.

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We are a high performing organization where team members are rewarded (Pay, Benefits and Recognition) for their contributions, and given the opportunity to support and/or volunteer with programs that help Tyson make a lasting social impact in the communities where we live and work.

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