Client-Facing Data & AI Engineer (Forward-Deployed)

Datavations; Minneapolis (MN); On-site; USD 130,000 - 170,000; Full time

Benefits offered by this job

Equity

Performance bonuses

Comprehensive benefits

Job summary

Datavations is a leading New York-based data and AI software company specializing in the $2.3 trillion building materials industry. Our platform turns massive datasets into actionable insights to optimize pricing, inventory, and product assortment for manufacturers.

We empower teams with data visualization, SQL/Python tooling, and end-to-end data product development, collaborating across data science, engineering, and sales to deliver measurable ROI.

Qualifications

• Bons conhecimentos de Excel e Power Point, storytelling com dados.
• Experiência prática em SQL ou Python.
• Conhecimento de ferramentas de gestão de projetos (ex.: Jira).
• Entendimento de métodos de séries temporais para detecção de outliers (Prophet, ARIMA, Tukeys Fences).
• Experiência em modelagem dimensional com dbt.
• Familiaridade com data warehousing (Snowflake, BigQuery, ClickHouse).

Responsibilities

• Gerenciar relacionamentos com clientes e fornecer suporte técnico para manter a excelência.
• Dar suporte a implementações de ponta a ponta para garantir qualidade de dados e adoção.
• Dirigir equipes de contas e engenharia para o sucesso do cliente.
• Atender às necessidades do cliente com habilidades técnicas em tempo hábil.
• Compreender todo o ciclo desde agregação de dados até entrega de produto.

Skills

Analytics

Excel

PowerPoint

SQL or Python

Jira

Time-series analysis

Tools

dbt

Snowflake

BigQuery

ClickHouse

Jira

Job description

Datavations is a leading New York-based data and AI software company specializing in the $2.3 trillion building materials industry. Our platform turns massive datasets into actionable insights to optimize pricing, inventory, and product assortment for manufacturers.

We empower teams with data visualization, SQL/Python tooling, and end-to-end data product development, collaborating across data science, engineering, and sales to deliver measurable ROI.