Olo
New York, NY
201-500 employees
Helping restaurant brands interface to the on-demand world through digital ordering and delivery
Other Open Roles
Prior Listings
- Data Analyst, Consumer Insights (USA)
- Senior System Engineer, Data Services
- Technical Product Manager - Data Platform
- Data Engineer
- Engineering Manager, Data Infrastructure
- Data Analyst
- Data Scientist
- Senior Director, Data Science and Business Intelligence
- Business Intelligence Lead
- Data Engineer
- Data Analyst
- Sr Machine Learning Scientist & NLP Expert
- Data Analyst, A/B Testing
- Data Scientist
- Engineering Manager, Data Engineering & Data Infrastructure
- Product Manager, Guest Data Platform
- Senior Reporting Analyst
- Director, Revenue Analytics & Strategy
- Business Analytics Manager
- Analytics Engineer
Data Scientist
Data Scientist
This job is no longer open
Join a growing team at Olo that is helping to make AI a driving influence in the restaurant industry. Bring your skills to a new area and develop projects that will impact how everyone experiences food and dining in the future. Responsible for developing, deploying, and monitoring Data Science projects involving Machine Learning, Deep Learning, and other AI techniques.
What You’ll Be Doing
- Develop data-driven solutions using appropriate techniques (AI, ML, DL, etc.)
- Build and execute various data science projects for product and business use cases across the organization (both product and technology).
- Hands on data extraction, data analysis, data cleaning, preparation, modeling, and evaluation.
- Deploy, document, maintain and monitor the developed solutions.
- Presenting data science results to a variety of audiences.
- Protect the developed algorithms and solutions by patenting the technology.
- Build prototypes and proof-of-concepts and tool evaluations.
- Collaborate with internal teams and with Olo partners.
What We’ll Expect From You
- Several years of proven experience in developing and deploying Machine learning and Deep learning solutions end-to-end (data exploration to deployment).
- Ability to extract, cleanse and manage structured, semi-structured and unstructured data.
- Deep understanding of different supervised, unsupervised machine learning, Deep learning, and AI algorithms and the math behind it.
- Experienced in Text Mining, natural language processing, time series, clustering, information extraction and retrieval. Solid understanding of the fundamentals behind these algorithms.
- Solid understanding of the fundamentals behind these algorithms.
- Ability to explain complex algorithms and results to a variety of audiences.
- Handling data responsibly by maintaining data governance, privacy, and documentation.
- Curious, critical thinker and scientific reasoning.
- Not afraid to ask questions and propose new approaches.
- Advocate and educate on the value of data-driven decision by focusing on the “how and why” of solving problems as your second nature.
Required Skills
- Python, R Programming
- ML Frameworks (Scikit learn), Graph databases and Deep Learning Framework (TensorFlow, PyTorch)
- SQL, Hadoop, Snowflake databases
- Master's degree in a relevant field or related discipline (Computer Science, Mathematics, Engineering, Physics, Behavioral Sciences, etc.)
Nice to Have
- Experience with data visualization tools — Tableau, R Shiny, Plotly, etc.
- In addition to the above, identify new challenges that can be solved using the data.
- Generate new innovative ideas that can potentially add value to the organization.
- Able to drive business value through effective communication and negotiation skills.
- Must be able to work effectively in a fast-paced, dynamic environment.
- Good understanding of the risks and trade-offs involved in choosing different models.
- Ability to seek empirical evidence through proofs of concept, statistical validation and external research.
COVID-19 Impact
Olo is committed to the well-being of candidates, employees and our community. The Olo NYC Headquarters will be closed for the foreseeable future because of the global outbreak of COVID-19. While an in-person interview is typical for many roles at Olo, we will conduct interviews via video conferencing while our HQ is closed. Olo benefits from the fact that over half of our workforce is remote, therefore we are accustomed to conducting interviews via video conferencing and we anticipate no impact on our recruiting timelines. We encourage candidates to share any concerns or questions with Olo’s recruiting team.
About Olo
Olo powers digital ordering and delivery programs that connect restaurant brands to the on-demand world, placing orders directly into the restaurant through all order origination points – from a brand’s own website or app, third party marketplaces, social media platforms, smart speakers, and home assistants. Olo serves as the on-demand ordering and delivery platform for over 400 brands, such as Applebee’s, Checkers & Rally’s, Cheesecake Factory, Chili’s, Dairy Queen, Denny’s, Five Guys Burgers & Fries, Jamba Juice, Noodles & Company, Portillo’s Hot Dogs, Shake Shack, sweetgreen, Wingstop, and more. Learn more at www.olo.com.
Olo's headquarters is located on the 82nd floor of One World Trade Center. We offer great benefits, such as 20 days of Paid Time Off, fully paid health, dental and vision care premiums, stock options, a generous parental leave plan, and perks like FitBits, rotating craft beers on tap in our kitchen, and food events featuring our clients' menu items (now you know why we give out FitBits!). Check out our culture map:https://www.olo.com/images/culture.jpg.
We encourage you to apply!
Olo is an equal opportunity employer and diversity is highly valued at our company. All applicants receive consideration for employment. We do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, pregnancy, age, marital status, veteran status, or disability status.
If you like what you read, hear, and/or know about Olo, and want to be a part of our team, please do not hesitate to apply! We are excited to hear from you!
This job is no longer open