Prattwhitney
Data Scientist
Prattwhitney, Short Pump, Virginia, United States
locations VA543: 22270 Pacific Blvd, Dulles 22270 Pacific Boulevard Building CC5, Sterling, VA, 20166-6924 USA
time type Full time
posted on Posted 8 Days Ago
job requisition id 01741377
Date Posted:
2024-12-01 Country:
United States of America Location:
VA543: 22270 Pacific Blvd, Dulles 22270 Pacific Boulevard Building CC5, Sterling, VA, 20166-6924 USA Position Role Type:
Hybrid You have been redirected to RTX’s career page as we have recently transitioned from RTX to become a standalone company, which provides us with greater autonomy and opportunities for growth. As a prospective employee of Nightwing, you’ll have the chance to contribute to our continued success and shape the future of our cybersecurity, intelligence, and services offerings. At Nightwing, we don't just operate on the cutting edge—we create it. The nation's top intelligence and security agencies depend on us to outpace and outmaneuver evolving threats. We're the intelligence services company that constantly pushes boundaries to safeguard national security interests. The Role: We are building our data infrastructure from the ground up, embracing a data mesh paradigm and leveraging the power of AWS. We are looking for a Data Scientist with 5+ years of experience who is ready to take on leadership responsibilities while also being hands-on. In this role, you will primarily focus on optimizing reports and providing actionable insights across various business metrics. You will play a critical role in shaping data-driven decision-making within the organization, ensuring the accuracy and relevance of data, and enhancing reporting capabilities to support operational and strategic goals. This is your chance to shape the future of intelligence and data science at Nightwing, driving measurable improvements through data analysis and reporting. Responsibilities: Optimize and automate reports that provide insights into key business metrics, improving operational efficiency and decision-making. Collaborate with business stakeholders to identify reporting needs and ensure data is structured to deliver clear, actionable insights. Own the development and optimization of data pipelines to ensure seamless flow of clean, reliable data for reporting and analysis. Leverage AWS services to build a scalable, secure, and cost-effective data platform. Provide ongoing analysis of business performance metrics, identifying opportunities for process improvements and cost reductions. Work with cross-functional teams to ensure that data reports align with business objectives and help drive data-driven decisions. Stay ahead of trends in data science and machine learning technologies, continuously learning and sharing knowledge with your team. Mentor and provide leadership to junior data scientists and engineers, fostering a culture of collaboration and innovation. Qualifications: 5+ years of experience as a Data Scientist or in a similar role, with a proven track record in data architecture and machine learning. Strong foundational understanding of forecasting models and their applications in real-world data. Hands-on experience with data integration tools and data transformation (ETL) processes. Strong proficiency in SQL, Python, and R. Expertise in building data pipelines and automating reporting processes. Experience using data visualization tools like Tableau or PowerBI to communicate business insights. Deep familiarity with AWS cloud technologies and building scalable data platforms. Excellent problem-solving, communication, and leadership skills, with the ability to collaborate across teams. A strong sense of ownership and the ability to work independently, managing multiple projects simultaneously. Preferred Skills: Knowledge of data mesh principles and domain-driven design. Master’s degree in Computer Science, Statistics, Data Science, or a related field preferred. Experience with machine learning concepts and data preparation for ML models. Familiarity with data governance, security, and privacy best practices. Experience working in Agile environments and understanding the SDLC (Software Development Lifecycle). Exposure to M365 and Azure environments. Leadership experience, including mentoring junior team members. Location: Dulles, VA (Corporate site) (Hybrid) Security Clearance: Must be a US Citizen. No Clearance required, but Secret or higher preferred. The salary range for this role is 85,000 USD - 179,000 USD. RTX is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.
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2024-12-01 Country:
United States of America Location:
VA543: 22270 Pacific Blvd, Dulles 22270 Pacific Boulevard Building CC5, Sterling, VA, 20166-6924 USA Position Role Type:
Hybrid You have been redirected to RTX’s career page as we have recently transitioned from RTX to become a standalone company, which provides us with greater autonomy and opportunities for growth. As a prospective employee of Nightwing, you’ll have the chance to contribute to our continued success and shape the future of our cybersecurity, intelligence, and services offerings. At Nightwing, we don't just operate on the cutting edge—we create it. The nation's top intelligence and security agencies depend on us to outpace and outmaneuver evolving threats. We're the intelligence services company that constantly pushes boundaries to safeguard national security interests. The Role: We are building our data infrastructure from the ground up, embracing a data mesh paradigm and leveraging the power of AWS. We are looking for a Data Scientist with 5+ years of experience who is ready to take on leadership responsibilities while also being hands-on. In this role, you will primarily focus on optimizing reports and providing actionable insights across various business metrics. You will play a critical role in shaping data-driven decision-making within the organization, ensuring the accuracy and relevance of data, and enhancing reporting capabilities to support operational and strategic goals. This is your chance to shape the future of intelligence and data science at Nightwing, driving measurable improvements through data analysis and reporting. Responsibilities: Optimize and automate reports that provide insights into key business metrics, improving operational efficiency and decision-making. Collaborate with business stakeholders to identify reporting needs and ensure data is structured to deliver clear, actionable insights. Own the development and optimization of data pipelines to ensure seamless flow of clean, reliable data for reporting and analysis. Leverage AWS services to build a scalable, secure, and cost-effective data platform. Provide ongoing analysis of business performance metrics, identifying opportunities for process improvements and cost reductions. Work with cross-functional teams to ensure that data reports align with business objectives and help drive data-driven decisions. Stay ahead of trends in data science and machine learning technologies, continuously learning and sharing knowledge with your team. Mentor and provide leadership to junior data scientists and engineers, fostering a culture of collaboration and innovation. Qualifications: 5+ years of experience as a Data Scientist or in a similar role, with a proven track record in data architecture and machine learning. Strong foundational understanding of forecasting models and their applications in real-world data. Hands-on experience with data integration tools and data transformation (ETL) processes. Strong proficiency in SQL, Python, and R. Expertise in building data pipelines and automating reporting processes. Experience using data visualization tools like Tableau or PowerBI to communicate business insights. Deep familiarity with AWS cloud technologies and building scalable data platforms. Excellent problem-solving, communication, and leadership skills, with the ability to collaborate across teams. A strong sense of ownership and the ability to work independently, managing multiple projects simultaneously. Preferred Skills: Knowledge of data mesh principles and domain-driven design. Master’s degree in Computer Science, Statistics, Data Science, or a related field preferred. Experience with machine learning concepts and data preparation for ML models. Familiarity with data governance, security, and privacy best practices. Experience working in Agile environments and understanding the SDLC (Software Development Lifecycle). Exposure to M365 and Azure environments. Leadership experience, including mentoring junior team members. Location: Dulles, VA (Corporate site) (Hybrid) Security Clearance: Must be a US Citizen. No Clearance required, but Secret or higher preferred. The salary range for this role is 85,000 USD - 179,000 USD. RTX is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.
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