Senior Data Scientist (Aerospace)

Position : Senior Data Scientist (Aerospace)

Position type : FTE

Citizen: USC/GC

Mandatory skills: data analysis, machine learning, statistical modeling, CI/CD and MLOP, advanced analytic methods in aerospace, Python, SQL, data wrangling, feature engineering, model development, DataBricks, Snowflake, Azure, AWS, SAP data, aerospace manufacturing,

• 12 to 18 years of experience applying data science and advanced analytic methods in aerospace or related industries.
• Proven track record of successfully leading data science projects to production.
• Strong programming skills in Python and SQL.
• Experience with data wrangling, feature engineering, and model development.
• Experience with MLOPS practices and deployment pipelines.

Submissions should have skill set and experience details.

Job Description

As a Lead AI/Data Scientist, you will be responsible for providing project guidance on data analysis, machine learning, and statistical modeling. You will oversee and prioritize data science projects, ensuring alignment with business goals and objectives. In this role, you will impact the aerospace industry by providing transformative insights and innovation. The actionable insights derived from your work will optimize processes, reduce costs, and identify growth opportunities, positioning company at the forefront of data-driven innovation. Leveraging cutting-edge technologies and advanced analytics, we specialize in turning data into actionable intelligence that propels the aerospace industry forward. Let’s shape the future of how we use data together.

Key Responsibilities

• Lead highly complex data science and advanced analytics projects in support of supply chain, finance, customer experience, engineering, and defense & space domains within aerospace manufacturing.
• Define and implement ingestion, data preparation, curation, and governance of large, multi-faceted data sets supporting analytics models and workflows.
• Demonstrated project management skills, serving as project lead guiding less experienced team members in multiple facets of project execution.
• Independently develop data science models or algorithms using disciplined software development processes, making recommendations for developing new code or re-using existing code, implementing version control and maintaining documentation of created applications.
• Effectively work with enterprise partners to transfer promising proof-of-concept data science models and data pipelines into production and support CI/CD and MLOPs activities.
• Work directly with customers and business partners to develop requirements and provide technical solutions through an analysis of manufacturing/business needs and pain points.
• Proactively assess current capabilities to identify areas for improvement by proposing solutions that align with core strategy and operation.
• Guide and produce information products, supporting visualization and data accessibility in a customer centric manner.
• Develop guidelines and standards for analytics and machine learning models, their deployment, and associated processes.
• Provides technical guidance or business process expertise, technical leadership, coaching and mentoring to team members.

MUST HAVE

• 5-10 years of experience applying data science and advanced analytic methods in aerospace or related industries.
• Proven track record of successfully leading data science projects to production.
• Strong programming skills in Python and SQL.
• Experience with data wrangling, feature engineering, and model development.
• Experience with MLOPS practices and deployment pipelines.
• Experience with DataBricks, Snowflake, Azure, and AWS
• Experience working with SAP data
• Ability to understand a broad array of technical and business issues, prioritize work, and analyze issues to develop innovative and effective solutions.
• Broad experience and working knowledge of advanced analytic methods and applications in data science (classic and GenAI), optimization, and statistics.
• Effectively lead team interaction, including meetings and collaboration, to resolve issues.
• Experience with Scaled Agile Framework and managing project work in Jira.
• Ability to develop and communicate technical vision for projects and initiatives that can be understood by customers and management.
• Proven mentoring ability to drive results and technical growth in peers.
• Effective communication skills (verbal, written, and presentation) for interacting with customers and peers.