Job description

We are looking for an experienced Data Scientist to join our team to work on varied and
challenging projects across Aerospace business processes. An organized Data Scientist who
has a strong passion understanding business processes, analyzing various input data flows,
parameters processing and decision making that impact business performance.
This role support a project from conception to final product, as a sole contributor, or part of
an AI/ML solution development team. This role will also need to work with Data Engineering
team and Application Development team, for the integration of the AI/ML solutions with
input data flow solutions, as well as the downstream applications that consume the models.

Roles and Responsibilities:
  • Understand and solve identified business problems from curated datasets.
  • Work with engineering teams to improve data collection procedures.
  • Process, clean, and verify the integrity of data. Investigate new sources that can
extend and improve our insights.
  • Design experiments that will measure and test for key performance indicators.
  • Design analytical solutions and experiments.
  • Conduct data exploration, feature engineering, visualization and develop models.
  • Model validation and deployment preparation with engineering team.
  • Be a thought-leader and drive innovation within the organization.


Qualification and Education Requirements
Minimum Education required :
  • Degree in Statistics, Mathematics, Artificial Intelligence, Machine Learning or a related field.
Minimum years of experience in role:
  • Experience of working experience with AI, ML, Data Science or a related field
  • Extensive knowledge in statistical methods and data mining.
  • Excellent application skills in experimentation methodologies and causal inferences.
  • Experience in applying machine learning techniques and designing algorithms that are
scalable.
  • Working experience with analytical tools and languages such as Python scikit-learn, R,SAS ML or equivalents. Experience with Spark, H2O or other Hadoop based frameworks is a plus.
  • Working experience with Cloud base AI/ML tools and data analytical tools in Azure or AWS
  • Clear communicator, with the ability to articulate ideas with data.
  • Experience with operating in a corporate environment and stakeholder management.
  • Strong results driven personality with an innovative spirit.

Preferred Skills (if any):
  • Extensive knowledge in statistical methods and data mining.
  • Working experience with analytical tools and languages such as Python scikit-learn, R,
SAS ML or equivalents. Experience with Spark, H2O or other Hadoop based frameworks is a plus.

Please let the company know that you found this position on this Job Board as a way to support us, so we can keep posting cool jobs.