Senior Data Scientist (Onsite)

Raytheon Technologies • East Hartford, CT

151d • $82,000 - $164,000

About The Position

Pratt & Whitney is working to once again transform the future of flight—designing, building and servicing engines unlike any the world has ever seen. And because transformation begins from within, we're seeking the people to drive it. So, calling all curious. Come ready to explore and you'll find a place where your talent takes flight—beyond the borders of title, a country or your comfort zone. Bring your passion and commitment and we'll welcome you into a tight-knit team that takes our mission personally. Channel your drive to make a difference into shaping an organization and an industry that's evolving fast to the future. At Pratt & Whitney, the difference you make is on display every day. Just look up. Are you ready to go beyond?

Requirements

• Bachelor's degree in quantitative field (computer science, engineering, mathematics, etc)
• 5+ years of relevant experience, or advanced degree with 3+ years of experience
• Demonstrated practical experience with SQL and Python
• Demonstrated practical experience building and deploying statistical models
• Strong communication skills
• Curiosity and creativity
• U.S. citizenship required due to government contracts

Nice To Haves

• Experience with time series data
• Experience with SAP and Solumina
• Experience with Power BI
• Experience with Git
• Experience with Databricks
• Familiarity with aerospace manufacturing and shop-floor environments
• Familiarity with continuous improvement methodologies like Six Sigma
• Familiarity with Operations Research
• Familiarity with change management principles

Responsibilities

• Work with stakeholders across functional areas to understand key processes, data sources, and requirements.
• Conduct exploratory analysis of business and manufacturing process data, focusing on our most challenging and complex datasets.
• Develop, test, deploy, and validate statistical models.
• Work closely with the Digital Technology team to ensure data infrastructure meets organizational needs.
• Create documentation and standard work for deployed models.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Transportation Equipment Manufacturing
• Education Level: Bachelor's degree