Data Scientist

Job description

# About Us: Here at Tarro we build products that empower small brick and mortar restaurants by liberating them of the operational burden of running their business. We accomplish this by providing a frictionless connection between them and their customers through our multi-product ecosystem offering AI-enabled order taking, delivery enablement, payment solutions, and point-of-sale software. At Tarro, we use a combination of bits (technology) and atoms (people) to solve real world problems facing small business owners. We obsess over placing our customers first and working backwards from there. When our customers succeed, we succeed. The restaurant industry in the US is over a $1 trillion total addressable market (TAM), but remains relatively underserved by technology. Large chains are able to afford expensive tech that gives them a huge advantage; we believe that small restaurant owners deserve access to the same technologies at an affordable price. Tarro has been profitable for nearly a decade and seen 5x revenue growth in the past four years. As of our last fundraising round in mid-2022, we were valued at $450M and have since seen substantial growth across customer acquisition, product development and company headcount. Thousands of loyal restaurants have entrusted Tarro with their success, and together we have supported nearly 20 million customers. We are proud to be named one of Built In’s top companies to work for in 2023. To learn more about our culture, values and how you can be a part of helping mom & pop restaurants thrive, please visit us here! [Helping restaurants thrive, not just survive](https://www.tarro.com/about-us)**.** # What we're looking for: We are looking to hire a Data Scientist to drive impactful insights and build data-driven solutions across multiple Tarro product areas. In this role, you’ll analyze complex datasets, develop predictive models, and collaborate closely with product, engineering, operations and a variety of stakeholders. You’ll own end-to-end data initiatives, deploy models into production, and play a critical role in shaping Tarro’s growth and evolution. As a key member of our growing team, you’ll move fast, experiment often, and wear many hats to uncover patterns, optimize decision-making, and solve high-impact business challenges. # What you will accomplish: - You will be responsible for owning entire data science model pipelines, from development to support - You will help make key decisions on the technologies and tools we use as we scale - You will write high quality code for all parts of our data science pipelines. - You will work closely with Marketing, Sales, Customer Success, Product and other functions to define and execute on data diagnosis, prediction, prescriptive and experimentation requirements - You will create scalable data science models following software and data engineering practices like versioning, CI/CD, workflow orchestration, data ops and ml ops - You will implement rigorous code reviews and testing guidelines to ensure that we have a high quality data science products - You will create and improve our data science CI/CD pipeline to enable high developer velocity - You will help in improving the life of independent restaurant owners and ultimately their customers # About you: - You have Bachelors in Computer Science or Engineering, Statistics, or equivalent experience. - You have 3+ years of ELT/ETL, data exploration, transformation and building production models. - You have 3+ years working with cloud **databases**, such as **Snowflake**, Redshift or similar - Practical experience with **statistical testing** (p/t/z tests, power analysis), **time series**, **regression/classification**, **clustering**, and **NLP**. - You have experience with programming languages such as **Python** and its usage for data processing, making API calls along with **Advanced SQL** - You have built with at least one of OpenAI/Anthropic/Google/OSS (Llama/Mistral), using embeddings, RAG (vector DB + hybrid search + re-ranking), **prompt engineering**, function/tool calling, JSON-schema outputs, and **evaluation frameworks** (e.g., prompt/unit tests, hallucination checks). - You have exposure to MLflow or equivalent for **experiment tracking**/model registry; data & model versioning; **orchestration** (Dagster/Airflow); **containerization** (Docker) and **monitoring** (latency, cost, quality) - You have exceptional product sense, communication and bias to ship # Bonus Points: - You have experience with **dbt**, **Dagster**, **MLflow/DVC**, **Weights & Biases**, or **Feast/feature stores**. - You are obsessed with data and patterns to solve business problems. - You will be jumping in deep into a new territory for the business, and you have a strong hunger to learn along with us. - You got Restaurant tech or marketplace/logistics experience; you’re customer-obsessed and love turning noisy operational data into outcomes. The base salary range for this role is $180,000 – $250,000 USD.