About the Company
Celebrating 40 years in business this year, Rewards Network has helped restaurants increase their revenue, traffic, and customer engagement through our innovative financial, marketing services, and premier dining rewards programs. We connect diners to fantastic restaurant experiences by offering unique card-linked offers. Our offers leverage advanced technology and powerful data analytics, providing value to our restaurants, diners, and strategic partners' loyalty programs.
Our Culture
At Rewards Network, you will find a passionate and diverse group of professionals that enjoy working collaboratively, solving problems, and taking ownership of not only their own careers and success, but the success and continued growth of the organization. We take pride in partnering with the world's most powerful loyalty programs to bring full price paying customers and better ways to access working capital options to local restaurants. We offer a challenging and rewarding environment where you can maximize your potential.
Job Overview
Sitting at the intersection of a three-way marketplace, Rewards Network is a ripe opportunity for a data enthusiast to tackle interesting and complex problems while delivering production-ready data science assets that integrate with our growing array of technologies and products. Data Scientists at Rewards Network operate at multiple levels, from delivering data assets that support tactical day-to-day operations, to strategic research helping shape top-level business decisions. The machine-learning models they design get integrated with our technologies to support member experience and client results. Data Scientists work closely with stakeholders across the company to understand our business needs and deliver immediate and long-term value. Success in this role requires a driven problem-solver that is prepared to design and develop innovative solutions.
What you’ll bring to the table: (Responsibilities)
- Drive actionable insights from data and present them to external and internal clients in a compelling manner
- Collaborate across departments to understand business objectives and identify novel data-opportunities
- Develop machine learning algorithms that support our three-way marketplace: E.g. recommendation engines, marketplace segmentation, behavioral analysis, customer retention, network optimization
- Contribute to the development and maintenance of our data infrastructure to enhance the cleanliness and effectiveness of our data sources
- Create well documented coding and analytics packets to ensure reusability as the team expands
- Collaborate with Marketing in the design, implementation, and analysis of marketplace research
- Communicate results to stakeholders with a focus on key take-aways and recommended actions
- Identify novel solutions to complex problems not readily addressable by standard models
Do you have the right mix of ingredients: (Requirements)
Minimum:
- Python
- SQL
- Experience with any BI visualization tool
- Comfortable working in a fast-paced environment
- Flexibility to tackle the changing problems at hand both big and small
- Strong written/verbal communication and presentation skills
Preferred:
- Code based Dev-Ops (e.g. Terraform, kubenetes, etc.)
- Familiarity with AWS (S3, Redshift, Sagemaker)
- 1 year experience as a Data Scientist or Post-Collegiate Degree in related STEM field
What you’ll love about us:
Comprehensive benefits package, which includes:
- Competitive Paid Time Off and company holidays
- Generous dining reimbursement when you dine with our restaurant clients
- 401(k) plan with a company match
- Two medical plan options- Standard PPO or High Deductible Health Plan (HSA with company match for HDHP participants)
- Partnership with Rx n Go, offering certain prescriptions for free
- Two dental plan options and a vision plan
- Flexible Spending Accounts and a pre-tax commuter benefit program
- Accident, Critical Illness, and Hospital Indemnity Insurance Plans
- Short Term and Long Term disability
- Company-paid life insurance and AD&D insurance, supplemental employee, spouse, and child life insurance
- Employee Life Assistance Program
- Hybrid working environment in a new office space downtown near the Metra Train stations and catered lunches on Tuesdays.
Rewards Network is an Equal Opportunity Employer (EOE). We encourage and strongly support workplace diversity.
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