Forward Deployed Engineer At Datavations

About Datavations

Datavations is a leading New York-based data and AI software specializing in the $2.3 trillion dollar building materials industry. Our platform, powered by advanced Machine Learning and Artificial Intelligence, provides manufacturers with a data-driven approach to better service customers and grow their relationships with key accounts. By simplifying massive datasets into actionable business insight, we help businesses make data-driven decisions to optimize pricing, inventory, and product assortment.

Our values

• We value execution: momentum is everything
• Belief in the power of positivity: we are encouraging and take risks
• Proactive ownership: we are passionate about driving financial value with creative data product
• Foster collaboration: we welcome help and always extend a helping hand, internally and externally

About the role

As a Forward Deployed Analytics Engineer (FDAE), you’ll be embedded directly with our clients to deliver data-driven solutions that solve real-world problems. You will bridge the gap between our powerful data platform and the client's unique business needs, using analytics, engineering, and domain knowledge to build impactful tools and drive meaningful outcomes.

This is a hands-on, client-facing role where you’ll be expected to own problems end-to-end—from understanding messy raw data to deploying polished solutions that drive decisions.

Responsibilities & skills

• Lead a team of data scientists and data analysts to deliver timely and accurate innovations to solve client needs - Manage client relationships and provide technical support to maintain excellence and drive new product development
• Attain a holistic understanding of the entire technology from data aggregation to product delivery - Develop and scale the technology from ‘data pipelining’ to ‘innovation’, to ensure accuracy of our data, as measured against client feedback
• Develop new product lines such as local pricing, ecommerce intelligence, and supply chain analysis to drive ROI for clients
• Leverage Data Visualization and UI/UX knowledge to increase customer adoption and ease of use - Collaborate with our data science, engineering, and sales teams
• Adopt a self-starter mentality, and inspire other team members to do the same
• Commit to rigorous documentation of coding efforts and train incoming employees
• Serve as a talent magnet to grow the Datavations team
• Project management tools (e.g. Jira)
• Big data analysis (e.g. SQL, Pandas, PySpark)
• Database management (e.g. Clickhouse, Apache Spark Amazon Redshift, Snowflake )
• Data visualization (e.g. Tableau, Excel, Power BI)
• Data cleaning (e.g. regex, deduplication, schema enforcement, CASE WHEN)
• Data extraction, web scraping & API aggregation experience

Experience

• Project management, leading 2+ developers
• Building end-to-end data products
• Driving actionable insights from alternative data sources
• Retail/e-commerce, market research, startup, or analytical experience
• Working with retail or consumer data
• Scaling BI infrastructure to 10Tb+ data ingestion
• Hacker mentality
• Able to work hybrid from our NYC office Tues- Thurs

Preferred Locations: New York

Why Join Datavations

Impact at Scale: Influence a $2.3 trillion industry by shaping how data science accelerates ROI for major manufacturers.Autonomy & Growth: Enjoy the freedom to experiment with new technologies and see your ideas realized in production.Collaborative Culture: Work alongside a supportive team that values positivity, proactive ownership, and continuous learning.Professional Development: Work with Terraform, OpenTelemetry, GenAI coding tools, and modern observability stacks.About the Role

Compensation

The base salary average range for this role is $150k - $175k per year, depending on experience, skills, and alignment with the role’s responsibilities. This range reflects our current expectations for a qualified candidate nationally, but we’re open to discussing the compensation range further for exceptional candidates working from our NYC office. Total compensation may also include equity, performance bonuses, and a comprehensive benefits package.

We’re committed to paying competitively and equitably, and we regularly review our compensation structures to ensure they align with the market and support our values