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Senior Lead Data Scientist @ RTX

location icon North Gate Business Park Sy.No 2/1, and Sy.No 2/2, KIAL Road, Venkatala Village, Chowdeshwari Layout, Yelahanka, Bengaluru, Karnataka 560064
Full Time

Date Posted:





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:


Job Description

We are looking for an experience data scientist having 6-8 years of experience that will help us discover the information hidden in vast amounts of data and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products.

Objectives of this role

  • Supporting Business Operation by providing efficient solution to a business problem
  • Research and devise innovative statistical models for data analysis.
  • Collaborate with operations, product design and engineering teams to develop an understanding of needs.
  • Communicate findings to all stakeholders.
  • Enable smarter business processes by using analytics for meaningful insights.
  • Keep current with technical and industry developments.


  • Creating automated anomaly detection systems and constant tracking of its performance.
  • Serve as lead data strategist to identify and integrate new datasets that can be leveraged through our product capabilities, and work closely with the other teams in the development of data products.
  • Implement analytical models in production by collaborating with software developers and machine-learning engineers.
  • Building scalable machine learning pipelines and using feature engineering and optimization methods to improve data set performance.

Required Skills & Qualifications

  • Six or more years of experience in data science.
  • End to end development deployment of a statistical model starting from data gathering till end user uses the application.
  • Hands on experience in AI/ML model development using Regression, Classification, Deep Learning, Computer Vision, NLP and other algorithms.
  • Business intuition: Connect with stakeholders to gain a full understanding of the problems they’re looking to solve.
  • Statistical analysis: Identify patterns in data. This also includes having a keen sense of pattern detection and anomaly detection.
  • Machine learning: Implement algorithms and statistical models to enable a computer to automatically learn from data with excellent understanding.
  • Devise and utilize algorithms and models to mine big-data stores; perform data and error analysis to improve models.
  • Ability to work effectively in a dynamic, research-oriented group that has several concurrent projects.
  • Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (ex: Java/Python, SAS).
  • Experience with common data science toolkits, such as R, Weka, NumPy, MATLAB, etc.. Excellence in at least one of these is highly desirable.
  • Data storytelling: Communicate actionable insights using data, often for a non-technical audience.
  • Critical thinking, Inquisitiveness, Interpersonal Skills.

Educational Qualifications/ Additional Skills

  • Bachelor’s degree (or equivalent) in statistics, applied mathematics, or related discipline.
  • Hands on experience in Generative AI modelling will be an added advantage.
  • Professional certification

About Collins Aerospace:

Collins Aerospace, a Raytheon Technologies company, is a leader in technologically advanced and intelligent solutions for the global aerospace and defense industry. Collins Aerospace has the capabilities, comprehensive portfolio, and expertise to solve customers’ toughest challenges and to meet the demands of a rapidly evolving global market.

Digital Technology:

Do you want to be part of a new, exciting initiative to combine foundational IT with new digital technologies?  Our Digital Technology team is driving business efficiencies and a better customer experience by connecting technologies, people, information and processes. From making aircraft more electric, intelligent and integrated to building new software platforms such as Internet of Things, big data, artificial intelligence, and blockchain, there’s no better place to be right now than in digital. If you’re an agile thinker who enjoys utilizing modern technology to make big improvements, then you’re a perfect fit for this team. Join Collins Aerospace to help us revolutionize the aerospace industry today! 

Collins Aerospace Diversity & Inclusion Statement:

Diversity drives innovation and inclusion drives success. We believe a multitude of approaches and ideas enable us to deliver the best results for our workforce, workplace, and customers. We are committed to fostering a culture where all employees can share their passions and ideas so we can tackle the toughest challenges in our industry and pave new paths to limitless possibility.


Some of our competitive benefits package includes:

  • Group Term Life Insurance.
  • Group Health Insurance.
  • Group Personal Accident Insurance.
  • Entitled for 18 days of vacation and 12 days of contingency leave annually.
  • Employee scholar program.
  • Work life balance.
  • Car lease program.
  • National Pension Scheme
  • LTA
  • Fuel & Maintenance /Driver wages
  • Meal vouchers
  •  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.


  • Background check and drug screen required.


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 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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