Principal Data Scientist - Gogo Commercial Aviation

Req ID:  33681
Travel:  Less than 10%

Chicago, IL, US, 60606

Education:  Advanced degree (e.g. Master’s)
Experience:  At least 7 years of experience required
Equivalency:  Combination of education/experience not considered


Equal Opportunity/Affirmative Action Employer including Vets and Disabled



Your role in helping us shape the future:

Join our dynamic and innovative team of Data Management professionals who specialize in designing and delivering solutions to enable big data analytics which support the growth and performance of our inflight connected experience under Intelsat’s Commercial Aviation (Gogo) division.

You will play a vital role in leading and managing the data science portfolio, infrastructure, and roadmap including development of modeling solutions that support Gogo’s growth and strategic priorities.  You will function as the primary point of contact for data science initiatives partnering with the business to identify opportunities to improve operational efficiency, increase revenue and reduce cost.  You will collaborate with Data Architecture, Data Engineering and Operations on productionalization of data to support models and decision systems.  You are assertive and inquisitive in your journey to understand business objectives that can be fulfilled using advanced analytics and predictive modeling solutions.


Are you up to the challenge?

  • Performs research and deep analysis on complex topics to drive value to the business (reduce cost, increase revenue) and/or related to the support of business operations.
  • Conducts exploratory data analysis and highly complex designs algorithm.
  • Designs experiments, tests hypotheses, validates analysis, identifies/creates appropriate algorithm, and builds and deploys models.
  • Applies advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple real-time/near real-time decision systems.
  • Leads discovery processes with institute stakeholders to identify business requirements and the expected outcome.
  • Makes strategic recommendations on data collection, integration and retention requirements incorporating business requirements and knowledge of best practices.
  • Develops innovative and effective approaches to solve analytical problems and communicates results and methodologies; works in iterative processes with client and regularly validates findings.
  • Uses a vast amount of programming tools / scripting languages to innovate and design new machine learning prototypes and solutions.
  • Provides on-going tracking and performance monitoring of decision systems and/or models, pipelines/processors, business rules, notifications and articulating overall functionality needed by the business.
  • Designs and builds self-service dashboards using a mixture of analytical and visualization techniques to derive actionable insight from the data to influence decision-making.
  • Educates the business on methodologies and approaches (hypothesis testing), statistical validation of results and model interpretability. 
  • Researches and maintains knowledge in emerging technologies and offers recommendations on the application to the business.


Can you drive these processes?

  • Manage the data science portfolio and develop advanced analytics roadmap which supports Intelsat-Gogo CA’s strategic priorities.
  • Architect, develop and deploy AI/ML/DL solutions that can be integrated into business systems and/or applications to improve decisions and outcomes.
  • Own execution and delivery of advanced analytic projects including demos/tooling for end-users; provide regular releases to validate systems and iterate to improve benefits.
  • Partner with business units to understand and assess new data sources (unstructured, semi-structured and structured) to improve existing capabilities and trigger new analytic solutions.
  • Work collaboratively with a diverse team of developers in an agile environment providing critical input to support data required for decision systems and modeling solutions.
  • Manage 2-3 data scientists and provide necessary direction to accomplish tasks to support EDA, data engineering, modeling, QA and performance monitoring.


You should definitely have:

  • Masters or PhD in a quantitative discipline (Computer Science, Mathematics, Statistics, ML/AI, Engineering, Econometrics or equivalent).
  • 7-10 years experience and high proficiency in data acquisition and manipulation of large datasets using databases in multiple environments.
  • 7-10 years experiene and high proficiency in Big Data programming languages.
  • High proficiency in the use of statistical packages.
  • Advanced experience and deep fundamental knowledge of supervised, unsupervised, reinforcement learning, machine learning algorithms such as classifiers, cluster analysis, dimension reduction, regression, ANN, CNN, RNN, Gradient Boosting, Random Forests, Bayesian Inference, NLP/NLU, etc. predictive and optimization modeling.
  • Proficiency in Python, Spark, and SQL.
  • Experience with model explainability and interpretability techniques.
  • Experience with cloud-based platforms and big data technologies Hadoop, Apache Spark, MapReduce, S3.
  • Experience with Tableau or equivalent data visualization tools.
  • Strong organization and planning skills and results-oriented mindset (driving to deadlines, targets, project goals).
  • Ability to articulate, translate and present value of AI/ML solutions to senior leaders (VP and higher) to solve problems.




  • These statements are intended to describe the general nature and level of work being performed by employees assigned to this job.  This is not intended to be an exhaustive list of all responsibilities, duties, and skills required of employees assigned to this job.

Nearest Major Market: Chicago