Data Scientist

Pratt & Whitney; East Hartford (CT); On-site; USD 87,000 - 165,000; Full time

Benefits offered by this job

Medical, Dental, Vision

Life insurance

Short-term disability

Long-term disability

401(k) match

Flexible spending accounts

Flexible work schedules

Employee assistance program

Employee Scholar Program

Parental leave

Paid time off and Holidays

Annual incentive programs

Job summary

Pratt & Whitney in East Hartford, CT is seeking a Data Scientist to bridge predictive modeling, business intelligence, and aviation MRO shop operations. You will design BI architectures, lead machine learning initiatives, and set data standards to enable reliable overhaul workflows.

The role emphasizes predictive modeling, data quality, and actionable analytics to support maintenance planning, shop floor efficiency, and supply chain optimization in an FAA‑regulated environment.

Qualifications

• Advanced degree in Data Science or related quantitative field.
• 3+ years in Data Science, Advanced Analytics, or ML in manufacturing/aerospace or FAA-regulated environment.
• Or 5+ years with a Bachelor's degree.
• Proficiency in Python, R, and SQL.
• Experience with data cleaning, EDA, and deploying production‑level predictive models.
• Experience with enterprise databases, data warehousing, and ETL/ELT pipelines.

Responsibilities

• Lead the design, implementation, and ongoing support of local BI applications and their underlying architecture.
• Define standards for BI tools, reporting systems, and data governance.
• Improve BI performance via data filtering and indexing strategies for faster reports.
• Create testing methodologies and data quality metrics to support trust in data products.
• Evaluate emerging BI/data technologies and build business cases for adoption.
• Analyze shop operations and supply chain trends to produce actionable insights.
• Perform statistical modeling and predictive analytics for aerospace datasets.

Skills

Python

R

SQL

Data cleaning

Exploratory data analysis

Production‑level modeling

Education

Advanced degree in Data Science

Bachelor's degree

Tools

Databricks

Solumina databases

SAP

S/4HANA

Power BI

Job description

The Data Scientist role supports Pratt & Whitney by connecting predictive modeling, business intelligence, and aviation MRO shop operations. The position focuses on BI application architecture, machine learning initiatives, and data standards that enable reliable overhaul workflows.

Key Responsibilities

• Lead the design, implementation, and ongoing support of local business intelligence (BI) applications, including their underlying architecture.
• Define organizational standards, policies, and procedures for the form, structure, and attributes of BI tools and reporting systems.
• Improve BI tool performance through data filtering and indexing strategies that increase report speed and usability.
• Create testing methodologies, validation criteria, and data and information quality metrics to support operational trust in data products.
• Evaluate emerging BI and data technologies and develop business cases to guide adoption decisions.
• Analyze trends in shop operations and supply chain data to produce actionable insights and support operational decision-making.
• Perform statistical modeling and interpretive analysis of complex aerospace datasets to deliver robust analytical and predictive outputs, such as component failure forecasting and turnaround time optimization.
• Define standards, software protocols, and procedures for building predictive models and analytical pipelines.
• Discover, clean, extract, and leverage data from enterprise systems to improve both analytical accuracy and overall data system performance.
• Design end-to-end testing and validation frameworks, including strict quality metrics for predictive models.
• Run targeted analyses to address engineering, overhaul, and shop floor bottlenecks.

Required Qualifications

• Advanced degree, plus 3+ years of experience in Data Science, Advanced Business Analytics, Technology and Machine Learning; preferably in Manufacturing, Aerospace, supply chain, or an FAA-regulated environment.
• OR Bachelor’s degree, plus 5+ years of relevant industry experience.

Preferred Qualifications

• Advanced degree in Data Science, Computer Science, Statistics, Analytics, Engineering, Economics, Finance, or another related quantitative field.
• Proficiency in common data science programming languages, including Python, R, and SQL.
• Proven ability in data cleaning, exploratory data analysis, and deployment of production-level predictive models.
• Experience with enterprise databases, data warehousing, and ETL/ELT pipelines.
• Extensive hands‑on experience with Databricks for big data processing, collaborative analytics, and managing machine learning pipelines.
• Familiarity with Solumina databases and manufacturing execution system (MES) data structures used to track shop floor assembly, repair, and quality workflows.
• Experience integrating and querying SAP databases (including SAP ERP and S/4HANA) for resource planning, supply chain, and inventory insights.
• Expertise in Power BI to build executive dashboards, interactive reports, and optimize enterprise BI applications.

Technologies

• Python, R, SQL
• Databricks
• Power BI
• Solumina databases
• SAP, SAP ERP, S/4HANA

Work Location and Role Type

East Hartford, CT (onsite). Onsite roles work primarily onsite, including roles supporting production and maintenance activity related to engine development.

Compensation Range

The salary range for this role is USD 86,800 - 165,200 per year.

Benefits

• Medical, Dental, Vision
• Life insurance
• Short-term disability, Long-term disability
• 401(k) match
• Flexible spending accounts
• Flexible work schedules
• Employee assistance program
• Employee Scholar Program
• Parental leave
• Paid time off and Holidays
• Annual short-term and/or long-term incentive compensation programs

Citizenship and Program Access

• U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program or contract.

Security Clearance

• Security clearance type: None/Not Required
• Security clearance status: Not Required