Senior Data Scientist
Henny Penny

Do you want to work for a global company that creates remarkable experiences through people, products, and food? If you want to be part of a rewarding People First culture that values relationships, trust, and taking the long view, then this is the place for you. Henny Penny was named the 2021 Dayton Business of the Year for many good reasons. Read on to learn more!

The Senior Data Scientist plays a key role in analyzing equipment and usage data in commercial limited service restaurants and developing predictive analytics platforms for Henny Penny connected product portfolio. The ideal candidate is expected to apply quantitative and qualitative methods to solve complex data problems in a dynamic environment. He or she has a good understanding of predicting failure and estimating the useful life of critical parts, which requires a through analysis of the electrical and mechanical parameters.

What We Offer

• An opportunity to work for a company that is 100% employee-owned. As an employee-owner, you will be enrolled in our employee stock ownership plan (ESOP) program following one year of service. This is a qualified retirement plan that is separate from your 401k and consists only of Henny Penny shares that will be paid out when you retire (or when you leave the company, but we hope you'll stay!)
  
• Annual company performance bonus in addition to base salary
  
• Flexibility to work from home 2 days per week
  
• Defined career paths so you'll always know what's next and what steps can get where you want to go
  
• Professional development opportunities including tuition reimbursement and unlimited free access to LinkedIn Learning courses
  
• A competitive benefits package including medical, dental, vision, 401(k) with company match, PTO, and paid holidays
  
• Onsite wellness clinic offering preventive care services such as wellness screenings, annual physicals, and related lab work at no cost to employee-owners
  
• Activities including department outings, holiday parties, and our annual company-wide Thanksgiving Dinner
  

What You'll Be Doing

• Support the delivery of advanced analytics solutions using data from connected products and external data sourced through API's across the business.
  
• Implement data processing across devices, gateways, data gathering platforms, databases, analytics, ML, and AI.
  
• Designs, creates, tests, and implements complex models and data mining algorithms for predicting machine failures.
  
• Understand the 4 core IoT components: devices, connectivity, IoT platforms, and applications.
  
• Leverage a broad set of modern technologies - including Python, SQL, PySpark, and Spark - to analyze and gain insights within large data sets.
  
• Manage, architect, and analyze big data in order to build data-driven insights and high-impact data models.
  
• Using statistical practices, analyze current and historical data to make predictions, identify risks, and opportunities, enabling better decisions on planned/future events.
  
• Build, test, and deploy supervised or unsupervised learning models.
  
• Adept at queries, report writing, and innovative ways of presenting and visualizing information.
  
• Able to work with large amounts of data when creating facts, figures, and general number crunching.
  
• Work directly with the IoT cloud architect/data analyst/data engineer/machine learning engineers and the project/functional leads.
  
• Collaborate with other team members, subject matter experts, and delivery teams to deliver strategic advanced analytic-based solutions from design to deployment.
  
• Transform data presented in models, charts, and tables into insights that is useful to the business and aids in effective decision making by leadership and stakeholders.
  

What We're Looking For

• 7+ years of working experience working with data and predictive modeling
  
• BS in Computer Science or Computer Engineering and Masters Degree in Data Science or equivalent
  
• Experience deploying machine learning and statistical models into real-world applications
  
• Experience with time series data, predictive maintenance, anomaly detection, forecasting or any related areas
  
• Experience with statistical analytics tools and advanced data tools like cluster analysis, MDS, conjoint analysis
  
• Technical expertise regarding data models, database design development, data mining, and segmentation techniques
  
• Strong SQL skills and are comfortable digging into a data model to get actionable insights
  
• Experience building out end-to-end machine learning models into production data
  
• Understanding of core cloud services, uses of the services, and basic cloud architecture best practices for ML implementation, including the AWS or Azure
  
• Excellent problem-solving and communication skills
  

About Us

We're known in our industry for making the best commercial food equipment in the world. Every day, millions of people eat in restaurants operating Henny Penny equipment. We're a behind-the-scenes engine in the world's most demanding kitchens, including long-term partners like McDonald's, Chick-fil-A, KFC, and Wendy's. We're 1,000+ employee-owners who thrive by living a People First mission: to support employees in becoming the best version of themselves both personally and professionally.

We recently completed the largest expansion in our history with the addition of 150,000 square feet on our Eaton campus. This expansion drives development of the world's most reliable, easy-to-use equipment with an innovative new space for global research and development. We have several collaborative spaces for our project teams, a dedicated electrical engineering lab for our hardware and software engineers, a full model shop for rapid prototyping, and a brand-new test lab that has 300 feet of hood space to test new equipment on our product roadmap. On top of that, we have a new state-of-the-art kitchen for our food science group to meet with our customers, understand what they need, and then dial in our equipment to help them make legendary menu items.

Henny Penny is an Equal Opportunity Employer. Qualified applicants are considered without regard to race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, sex or gender (including pregnancy, childbirth and pregnancy-related conditions), marital status, veteran or military status, sexual orientation, genetic information, gender identity or expression (including transgender status), or any other characteristic protected by applicable federal, state or local laws.

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