Senior Lead Data Scientist

Key Skills

Aartificial intelligence, Algorithms, Computer Vision (CV), Data science techniques, Deep Learning, Java Programming, Machine learning techniques, Mathematics, MATLAB Programming, Microsoft-Excel, Natural Language Processing (NLP), NumPy, PowerBI, Python Programming, SQL, Statistics, Tableau

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. 

Responsibilities 

• 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 algotithms. 

• 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. 

Additional Skills

• Professional certification 

• Bachelor’s degree (or equivalent) in statistics, applied mathematics, or related discipline. 

Raytheon Technologies 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.