Data Scientist

Data Scientist

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.

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.

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)

The base salary range for this role is $180,000 – $250,000 USD.