Forward Deployed Engineer

The role

You will build custom ingestion pipelines and models for complex enterprise customers. You will work with the CTO and data science team to turn custom solutions into standard product patterns.

What you will do

• Build custom ingestion and pipelines for accounts
• Build propensity, lookalike and scoring models
• Run scoring in production and own its accuracy
• Scope and build new features for expansions
• Turn custom pipelines and models into standard patterns
• Act as the technical voice for customer data teams

Required qualifications

• 4+ years as a data scientist or data engineer shipping to production in a data-heavy setting
• Strong Python and SQL
• Experience with dbt and an orchestrator like Dagster or Airflow
• Experience with a cloud warehouse (Snowflake, BigQuery or Databricks)
• Built predictive models such as propensity, LTV, lookalike or lead scoring
• Experience with identity resolution, entity matching, consumer or behavioral data
• Worked directly with customers or non-technical stakeholders
• In New York City or willing to relocate
• Comfortable traveling to customers

Nice to have

• Consumer data, identity graphs, adtech or martech
• Experiment design: holdouts and lift measurement
• Forward deployed, solutions or consulting experience at a data company
• Sports, financial services or travel

Benefits

• Medical
• Dental
• Vision

Before you apply

• Skip the cover letter
• Provide a few paragraphs walking through one model or pipeline you built on messy data

About the company

Minerva builds AI for marketing leaders to automate and accelerate workflows with AI agents. The team includes operators and investors from companies like Citadel, Meta, and Amazon.