Forward Deployed Engineer New York 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:- Customer Obsession: We are integrated in the industry with a customer-first obsession.
- Proactive Ownership: We have agency for our actions and embody an entrepreneurial mindset.
- Bias for Action: We maintain momentum with a can-do attitude; we value progress over perfection.
- Eager to Grow: We stay curious and hungry to learn, viewing every failure with humility as an opportunity to grow.
- Foster Collaboration: We work across boundaries with quiet competence, welcoming diverse perspectives and offering help unselfishly.
- Responsibilities & SkillsManage client relationships and provide technical support to maintain excellence and drive new product development
- Support end-to-end implementations to ensure data quality, adoption and customizations needed for customer satisfaction
- Quarterback account teams and engineering resources to drive success for our customers
- Execute on customer needs leveraging technical skillsets in a timely manner
- 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 customers to drive value out of our data products
- Commit to rigorous documentation of coding efforts and train incoming employees and contribute to platform engineering efforts
- Technical Skills
- Analytics and/or financial reporting knowledge
- Deep knowledge in Excel and Power Point, storytelling with data
- Outstanding expertise and hands on experience in SQL or Python
- Project management tools (e.g. Jira)
- Data visualization (e.g. Tableau, Excel, Power BI, Retool)
- Understanding of time-series statistical methods for outlier detection (Prophet, ARIMA, Tukeys Fences)
- Preferred but not required
- Proven experience building, deploying, and maintaining dimensional data models using dbt
- Familiarity with data warehousing solutions (e.g., Snowflake, Google BigQuery, ClickHouse)
Experience
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
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, Open
Telemetry, GenAI coding tools, and modern
CompensationThe average range for this role is $130,000 - $170,000 depending on experience, skills, and alignment with the role's responsibilities. This range reflects our current national expectations for qualified candidates. Exceptional candidates based in our NYC office may be considered for a higher range. 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
