Senior Data Scientist - remote

Location: Remote

*** Mention DataYoshi when applying ***

About Ordermark

Ordermark’s mission is to become a trusted partner to restaurants everywhere, offering products and services that help restaurants adapt to changing consumer trends and technology. We pride ourselves in building a team of world-class thinkers and innovators to revolutionize the restaurant industry, empowering our customers to tap into new markets.

Ordermark helps restaurants and virtual kitchens aggregate mobile orders across all the major online ordering service providers into a single dashboard and printer. Powered by Ordermark's leading restaurant technology platform, Nextbite serves the fast-growing food on-demand revolution by empowering existing restaurants everywhere to serve more customers and earn more revenue. Nextbite, creates delivery-only restaurant concepts with high-quality, chef-inspired menus available through delivery apps. This combined offering helps restaurants increase efficiency and grow profits, creating successful food service across the country.

By joining Ordermark you will have a front row seat to the rapidly changing restaurant landscape and the explosive online ordering industry.

  • Ordermark has implemented a COVID-19 vaccine policy that all staff will be required to follow (with or without reasonable accommodations) in order to perform any in-person job functions or attend any in-person team events. If you have any questions on this policy, we will connect you with the appropriate People Ops team member for answers as we engage in the interview process.

About the Role

Ordermark's Data Strategy and Analytics team is seeking a Senior Data Scientist to lead and guide data scientists for multiple, diverse-scope projects with complex business and technical challenges across several business units and functions. The Senior Data Scientist will own end to end responsibilities for deploying the models into production. The ideal candidate will bring experience in Natural Language Processing/text analytics, recommendation system, machine learning, various deep learning related technologies, predictive and prescriptive analytics.

*This role is remote and we are able to hire remote employees in the following states: AZ, CA, CO, FL, GA, IL, IN, KS, KY, MI, NY, NC, NJ, NV, OH, OK, PA, TN, TX, UT, VA, WA, and WI*

The impact you will have:

    • Deep dive into business' problems and identify use cases that could represent an opportunity for transformational or disruptive innovation using the Machine learning models
    • Mine and analyze data from company databases or external databases to drive optimization and improvement of marketing techniques and business strategies
    • Own end to end responsibilities for deploying the models into production
    • Identify valuable data sources and automate collection processes
    • Undertake preprocessing of structured and unstructured data
    • Develop custom data models and algorithms to apply to data sets
    • Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes

What you bring to the role:

    • Advanced degree in analytical fields (e.g. Computer Science, Data Science, Engineering, Statistics, Data Analytics, Applied Mathematics) is preferred
    • 3+ years of working experience in the data science field (e-commerce preferred)
    • Experience in building, training, scoring, tuning and maintaining predictive models in production at enterprise scale and knowledge of industry wide data science trends and best practices of different stages of Data Science lifecycle
    • Expert level with statistical modeling and statistical programing languages like Python or R
    • Proven track record of working cross functionally and critically evaluate complex business information from multiple perspectives, including questioning assumptions and validity.
    • Business acumen and excellent written and oral communication and presentation skills, with the ability to synthesize, simplify and explain complex problems to both technical and business audience and experience on documenting the models and procedures in an organized manner
    • Ability to multi-task, keeping multiple projects on track, and deliver results on-time
    • Experience analyzing data from 3rd party providers: Google Analytics and Facebook Insights is a plus

What we offer:

    • A team that has transitioned to remote work impressively, and remains highly collaborative and connected
    • Excellent growth opportunity, and stock options for all full-time employees
    • Medical, dental and vision (90% covered by Ordermark; 50% for dependents) - eligible immediately
    • Unlimited PTO and paid company holidays
    • 401k - eligible immediately
    • $60/month reimbursement for online-ordered meals
    • Bonusly - a team recognition platform with fun rewards
    • We pride ourselves in having a team that promotes diversity, inclusion, leadership, mindfulness, high initiative, energy and passion.

Ordermark participated in Techstars, Boulder in Spring 2018, and has raised $150 million. We are headquartered in Los Angeles, and are looking to significantly grow our team while continuing to reach restaurants and consumers across the country.

Our team is made up of people from diverse backgrounds, collaborating daily across time zones. We believe cross-pollination is one of the best ways to foster community and new ideas. For that reason we encourage people from all backgrounds to apply to any of our positions.

Thank you for your interest in Ordermark - we’re reviewing impressive candidates every day, and will do our best to reach out to you as quickly as possible!

*** Mention DataYoshi when applying ***

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