Data Scientist - Chicago, United States - Rewards Network

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    About the CompanyCelebrating 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 CultureAt 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 OverviewSitting 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 youll bring to the table:
    (Responsibilities)

    Drive actionable insights from data and present them to external and internal clients in a compelling mannerCollaborate across departments to understand business objectives and identify novel data-opportunitiesDevelop machine learning algorithms that support our three-way marketplace:
    E.g. recommendation engines, marketplace segmentation, behavioral analysis, customer retention, network optimizationContribute to the development and maintenance of our data infrastructure to enhance the cleanliness and effectiveness of our data sourcesCreate well documented coding and analytics packets to ensure reusability as the team expandsCollaborate with Marketing in the design, implementation, and analysis of marketplace researchCommunicate results to stakeholders with a focus on key take-aways and recommended actionsIdentify novel solutions to complex problems not readily addressable by standard modelsDo you have the right mix of ingredients: (Requirements)

    Minimum:
    PythonSQLExperience with any BI visualization toolComfortable working in a fast-paced environmentFlexibility to tackle the changing problems at hand both big and smallStrong written/verbal communication and presentation skillsPreferred: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 fieldWhat youll love about us:
    Comprehensive benefits package, which includes:Competitive Paid Time Off and company holidaysGenerous dining reimbursement when you dine with our restaurant clients401(k) plan with a company matchTwo 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 freeTwo dental plan options and a vision planFlexible Spending Accounts and a pre tax commuter benefit programAccident, Critical Illness, and Hospital Indemnity Insurance PlansShort Term and Long Term disabilityCompany paid life insurance and AD&D insurance, supplemental employee, spouse, and child life insuranceEmployee Life Assistance ProgramHybrid 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.#J-18808-Ljbffr