Data Science Engineer, Lead Analyst (AI)

TL;DR

Data Science Engineer, Lead Analyst (AI): Developing and operationalizing AI/ML models that power predictive insights and automated narratives with an accent on predictive insights across a range of business functions. Focus on designing, implementing, and maintaining scalable data pipelines and feature engineering workflows using Snowflake and dbt.

Location: Remote. Must be based in the United States.

Salary: 110,000 to 125,000 plus bonus

Company

hirify.global creates effortless networking experiences that enable all of us to advance by leveraging the powers of machine learning, artificial intelligence, analytics, and automation.

What you will do

• Develop AI/ML models to generate predictive insights across business functions and insight narratives to support executive summaries.
• Build and optimize AI-driven capabilities for "Ask EDNA," supporting a search-like capability for metrics and natural-language responses to business questions.
• Design and develop visualizations that present forecasted results and correlations.
• Design, implement, and maintain scalable data pipelines and feature engineering workflows using Snowflake and dbt.
• Ensure data quality, feature robustness, and model reliability through structured experimentation, model validation, and performance monitoring.

Requirements

• 3+ years of hands‑on experience in advanced analytics, data science, or AI model development.
• 2+ years of experience with more than 1 database system, such as Redshift, Azure Synapse, BigQuery, Oracle, SQL Server, MySQL, Snowflake.
• 2+ years of experience with more than 1 analytics/visualization tool, such as PowerBI, Tableau, Looker, Sigma Computing, or other BI reporting layers.
• Strong proficiency in building and deploying predictive models (classification, time‑series forecasting, regression, anomaly detection).
• Deep expertise in Python, SQL, Snowflake, data pipeline development, and designing and maintaining dbt models.

Culture & Benefits

• Committed to fostering an inclusive workplace that embraces differences.
• No employee or applicant will face discrimination/harassment based on protected categories.