Tarro-posted 3 months ago
Menlo Park, CA
501-1,000 employees

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.

  • Own entire data science model pipelines, from development to support.
  • Make key decisions on the technologies and tools we use as we scale.
  • Write high quality code for all parts of our data science pipelines.
  • Work closely with Marketing, Sales, Customer Success, Product and other functions to define and execute on data diagnosis, prediction, prescriptive and experimentation requirements.
  • Create scalable data science models following software and data engineering practices like versioning, CI/CD, workflow orchestration, data ops and ml ops.
  • Implement rigorous code reviews and testing guidelines to ensure that we have high quality data science products.
  • Create and improve our data science CI/CD pipeline to enable high developer velocity.
  • Help in improving the life of independent restaurant owners and ultimately their customers.
  • Bachelors in Computer Science or Engineering, Statistics, or equivalent experience.
  • 3+ years of ELT/ETL, data exploration, transformation and building production models.
  • 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.
  • Experience with programming languages such as Python and its usage for data processing, making API calls along with Advanced SQL.
  • 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).
  • Exposure to MLflow or equivalent for experiment tracking/model registry; data & model versioning; orchestration (Dagster/Airflow); containerization (Docker) and monitoring (latency, cost, quality).
  • Exceptional product sense, communication and bias to ship.
  • Experience with dbt, Dagster, MLflow/DVC, Weights & Biases, or Feast/feature stores.
  • Obsessed with data and patterns to solve business problems.
  • Strong hunger to learn and jump into new territory for the business.
  • Restaurant tech or marketplace/logistics experience; customer-obsessed and love turning noisy operational data into outcomes.
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