Data Scientist

Menlo Park, CA - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

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 last three 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 Ins 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.

What were looking for:

We are looking to hire a Data Scientist to drive impactful insights and build data-driven solutions across multiple Tarro product this role youll analyze complex datasets develop predictive models and collaborate closely with product engineering operations and a variety of stakeholders. Youll own end-to-end data initiatives deploy models into production and play a critical role in shaping Tarros growth and evolution. As a key member of our growing team youll 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; youre customer-obsessed and love turning noisy operational data into outcomes.

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-...