About the job
Join the innovative team at Tsunami Tsolutions as a Data Scientist within our Aviation Analytics department. We are looking for a driven individual who is passionate about leveraging analytics to provide value for our clients. In this role, you will develop and implement advanced analytical solutions using a variety of tools and technologies. Collaborating closely with both team members and clients, you will uncover new opportunities and strategize to enhance our analytical capabilities.
Your responsibilities will include ensuring data integrity, analyzing metrics to gauge performance, and effectively communicating your insights to clients and senior leadership. This is an opportunity to make a significant impact in a dynamic field.
NOTE: This position requires access to technologies and hardware subject to U. S. national security export control requirements. All applicants must be U. S. Citizens (8 USC 1324b(a)(3)) or otherwise authorized by the U. S. Government. No company sponsorship is offered.
Key Responsibilities:
• Collaborate with stakeholders to comprehend intricate business processes and data flows.
• Engage in brainstorming sessions to devise optimal solutions.
• Gather, clean, and validate data from diverse sources.
• Analyze data to provide actionable business insights.
• Explore and implement various analytical techniques to identify the most effective applications.
• Partner with team members to roll out solutions organization-wide.
• Report on project progress and track the effectiveness of the models implemented.
Qualifications:
• Bachelor’s Degree in Computer Science, Data Science, or Engineering; Advanced Degree preferred.
• 3-5 years of relevant industry experience preferred.
• Proficient in developing dashboards and visualizations using tools like Qlik, Power BI, Tableau, or similar platforms.
• Strong coding skills in Python, R, and SQL.
• Advanced Excel skills, including experience with VLOOKUPs and pivot tables.
• Quick learner with the ability to apply new concepts in practical scenarios.
• Excellent communication skills, capable of presenting findings to non-technical audiences.
• Experience in building and deploying machine learning models in Python or R is a plus.
This offer is contingent upon successful completion of a background check and drug screening.

