Data Scientist

About the role

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.

Responsibilities

• Own entire data science model pipelines, from development to support
• Help 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
• 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

Requirements

• Bachelor's degree in Computer Science, Engineering, Statistics, or equivalent experience
• 3+ years of experience with 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
• Experience 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)
• Experience with 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

Qualifications

• Obsessed with data and patterns to solve business problems
• Strong hunger to learn and adapt to new territories for the business
• Experience with dbt, Dagster, MLflow/DVC, Weights & Biases, or Feast/feature stores (bonus points)
• Customer-obsessed and love turning noisy operational data into outcomes

Skills

• Data Science
• Machine Learning
• Cloud Databases (Snowflake, Redshift)
• Programming Languages (Python)
• Statistical Testing
• Time Series Analysis
• Regression/Classification
• Clustering
• NLP
• Software and Data Engineering Practices (CI/CD, Workflow Orchestration, Data Ops, ML Ops)
• Experiment Tracking/Model Registry
• Containerization (Docker)
• Miscellaneous Tools (dbt, Dagster, MLflow/DVC, Weights & Biases, Feast/feature stores)

Benefits

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