Principal Data Scientist (Hybrid)

Date Posted:

2025-04-09

Country:

India

Location:

North Gate Business Park Sy.No 2/1, and Sy.No 2/2, KIAL Road, Venkatala Village, Chowdeshwari Layout, Yelahanka, Bangalore, Karnataka  560064

Position Role Type:

Unspecified

Are you interested in joining a dynamic global team that has a great impact on the Collins' organization? If so, then this is the job for you! 

The Global Technical Solutions (GTS) organization brings employees together across Collins that work on Electronic Computer-Aided Design (ECAD), Mechanical Computer-Aided Design (MCAD), Technical Documentation and Technical Excellence.

As a Data Scientist specializing in process improvements for Mechanical Computer-Aided Design (MCAD), Electrical Computer-Aided Design (ECAD), and Technical Publications, you will be integral to enhancing the efficiency, accuracy, and consistency of design and documentation processes within GTS. Leveraging data analytics and automation, you’ll develop data-driven solutions to streamline workflows, reduce errors, and improve quality across mechanical and electrical design outputs as well as technical publications. Collaborating closely with MCAD and ECAD design teams, technical authors, and cross-functional stakeholders, you’ll contribute to advanced process optimization and best practices for aerospace engineering documentation. 

This role can be based in India.

What YOU will do:

• Develop strategy on data in collaboration with senior leadership team, technology team and Tools leader by implementing innovative data technology to solve difficult business problems.

• Build and maintain data pipelines to collect, process, and store large volumes of data. Develop ETL/ELT pipelines to move and transform data. Ensure data systems are scalable, fast, and reliable. Work with big data tools like Data Lakes, Apache Spark, Kafka, and cloud platforms.

• Designing, creating and maintaining dashboards, reports, and other data visualizations for various departments within an organization by developing and implementing data visualization standards and guidelines, and providing technical support and training to other team members on data visualization tools and techniques by staying on top of latest data visualization trends and techniques.

• Data Analysis & Process Insights for Portfolio of programs: Collect, clean, and analyze data from MCAD and ECAD systems, technical documentations, finance, HR and related tools. Identify inefficiencies, error trends, and bottlenecks across the design-to-documentation lifecycle to drive improvements in process quality and speed.

• Workflow Optimization for Cross-Disciplinary Design & Documentation: Identify improvement opportunities within product areas of MCAD, ECAD, Technical Documentation and Technical Excellence processes. Develop and implement data-driven solutions to reduce manual steps, improve cross-functional integration, and enhance document consistency and accuracy.

• Dashboarding & Visualization for Process Monitoring: Build and maintain dashboards to provide real-time monitoring of key metrics for MCAD, ECAD, Technical Documentation and Technical Excellence processes. Enable data-driven insights into process performance, workload management, and error trends for continuous improvement

• Cross-Functional Collaboration: Work closely with MCAD, ECAD, and technical documentation teams to understand their challenges and requirements. Serve as a data-driven consultant to technical authors, design engineers, and quality teams, ensuring the integration of analytics solutions aligns with the needs of each function.

• Documentation & Reporting: Document analytical methods, model specifications, and process improvements. Provide regular impact reports and key insights for continuous process optimization across MCAD, ECAD, and technical publications.

• Process Improvement: Identify and implement improvements using CORE events and engagements.

• Travel up to 10% of the time per business needs.

Qualifications You Must Have:

• BE/B.Tech or MS/M.Tech or Phd with 8 to 13 Years of experience.

• 8+ years of experience in data engineering, data science, process improvement, or analytics, preferably within aerospace or a similar industry with a focus on design and documentation

• 8+ years’ experience in programming languages and relevant experience developing front end and backend tools (eg, Python, R, SQL, Cloud Platforms, PowerApps, PowerBI, Tableau, etc.) for data engineering, analysis and visualization.

• 8+ years’ experience creating data visualizations to articulate messaging to executive leadership using tools such as Power BI, Tableau, Alteryx etc.

Qualifications We Prefer:

• Bachelor’s or master’s degree in data science, Engineering, Computer Science, Business or a related field, with a focus on design processes, technical documentation, or process optimization

• Employee in Global Technical Solutions, effective January 2025

• Awareness of MCAD and ECAD tools (e.g., CATIA, SolidWorks, Altium, or Siemens EDA)

• Ability to explain data-driven insights to both technical and non-technical audiences

• Ability to collaborate effectively in cross-functional teams and drive alignment across disciplines

What We Offer:

Some of our competitive benefits package includes:   

• Transportation facility.

• Group Term Life Insurance.

• Group Health Insurance.

• Group Personal Accident Insurance.

• Entitled for 18 days of vacation and 12 days of sick leave annually.

• Employee scholar program

• Work life balance

• Car lease program

• National Pension Scheme

• LTA

• Fuel & Maintenance /Driver wages

• And more! 

Nothing matters more to Collins Aerospace than our strong ethical and safety commitments. As such, all India positions require a background check, which may include a drug screen.

At Collins, the paths we pave together lead to limitless possibility. And the bonds we form – with our customers and with each other -- propel us all higher, again and again.

Apply now and be part of the team that’s redefining aerospace, every day

RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.  

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