Data Science Engineer: AI/ML, Data Pipelines & BI (Hybrid)

SBI Consultants LLC; New York (NY); Hybrid; USD 100,000 - 140,000; Full time

Benefits offered by this job

Annual bonus

Professional Development allowance

Medical insurance

401K & profit sharing bonus

Commuter pre-tax

Generous Paid Time Off

Job summary

SBI Consultants LLC is seeking a Data Science Engineer (DSE) to join its team and lead data infrastructure initiatives. You will design centralized data architecture, build ETL pipelines, and develop AI/ML models to support analytics-driven decisions in construction projects.

You will collaborate with engineers, project managers, and executives to implement dashboards in Power BI, ensure data quality, and apply data governance practices while exploring new analytics tools and cloud platforms.

Qualifications

• Bachelor's degree in Data Engineering, Data Science, Computer Science or related field.
• 2+ years of professional experience in data engineering, analytics, and AI/ML.
• Experience assisting in AI/ML model development and deployment in production.

Responsibilities

• Design and maintain a centralized multimodal data repository.
• Build and optimize data pipelines for ETL across data sources.
• Develop AI/ML models and analyze performance.
• Maintain Power BI dashboards and create portfolio KPIs.
• Collaborate with engineers, PMs, and executives.

Skills

Data architecture

ETL pipelines

AI/ML development

Python

SQL

Cloud platforms

Data visualization

Data governance

Cross-functional collaboration

Data engineering

Education

Bachelor's degree in Data Engineering, Data Science, Computer Science or related field

Master's degree preferred

Tools

Power BI

AirFlow

Databricks

AWS

Azure

Google Cloud

SQL databases

NoSQL databases

Job description

SBI Consultants LLC is seeking a Data Science Engineer (DSE) to join its team and lead data infrastructure initiatives. You will design centralized data architecture, build ETL pipelines, and develop AI/ML models to support analytics-driven decisions in construction projects.

You will collaborate with engineers, project managers, and executives to implement dashboards in Power BI, ensure data quality, and apply data governance practices while exploring new analytics tools and cloud platforms.