NAMS2 - Data Scientist I, II - job 1 of 2

As a Data Scientist I, II at Crown, you'll be tasked with identifying trends and anomalies within vast data sets by conducting thorough data analyses. Your responsibilities include data mining, cleaning, and aggregation to prepare and model data for insightful analyses. Additionally, you'll interpret results from structured and unstructured sources while employing statistical and analytical techniques. Your collaborative nature will also play a crucial role as you work with teams to ensure data analyses are aligned with project objectives.

Crown seeks candidates for the Data Scientist I, II positions who possess a Master's degree in computer science, mathematics, engineering, or a related field, along with 5 or more years of relevant experience. Previous engagement with machine learning algorithms for NASA-related projects is a plus. While experience is essential, we also value creativity and collaboration skills, particularly from candidates located within the San Francisco Bay Area.

Data Scientists at Crown will work on innovative and impactful projects related to advanced air mobility (AAM) and aerospace technologies. You'll engage in extensive data analysis to support projects developed in collaboration with government agencies and industry partners like NASA. The work you do will aim to derive insights that affect the future of aviation, making your contributions vital to the advancement of sustainable transportation solutions.

The salary range for Data Scientists I, II at Crown is competitive, falling between $150,000 and $170,000 annually. This range is reflective of the value we place on attracting top talent, especially those with expertise in relevant areas such as machine learning and data analysis in high-stakes environments like aerospace.

At Crown, we are committed to the continuous growth and development of our employees. Data Scientists have access to various resources including mentorship programs, opportunities to participate in cutting-edge research projects, and ongoing training in new technologies and methodologies related to data science. We foster an environment of learning and innovation, ensuring that our team remains at the forefront of the aerospace field.

When responding, highlight specific algorithms you've implemented and the results achieved. Discuss scenarios from relevant projects, particularly any work related to aerospace if applicable, to illustrate your problem-solving skills and application of theory to practice.

Explain your methodology carefully, including any tools or techniques you routinely utilize. Articulate your understanding of why these steps are critical in the data analysis pipeline to ensure data integrity and quality.

List specific programming languages, software, or platforms (like Python, R, SQL, etc.) that you have experience with. Provide context about how you've used them in past roles, which can demonstrate your hands-on experience and proficiency.

Choose a scenario that showcases your analytical thinking, problem-solving capabilities, and technical skills. Talk about the steps you took to arrive at a solution and the impact it had on the project or business.

Discuss any platforms, journals, or courses you regularly utilize to keep your knowledge current. Mention how you implement new findings or techniques into your work to illustrate a commitment to professional development.

Share examples of past collaborations, highlighting the importance of communication and integration across disciplines. This shows your ability to work well with others, which is key in a role like the Data Scientist at Crown.

Explain how you approach analysis interpretation and the methodologies you use to communicate results to stakeholders non-technically. Highlight your ability to paint a clear picture of data findings and implications.

Choose a specific instance to describe your presentation style, what tools you used (like dashboards or visualizations), and how you ensured your audience understood your insights. This demonstrates your communication skills.

Articulate your understanding and commitment to maintaining data ethics and privacy. Discuss any relevant experiences you have where ethical considerations played a role in your analytical work.

Share specific alignments between Crown’s mission in advanced air mobility and your professional interests and aspirations. Your excitement for contributing to innovative aerospace technologies will resonate strongly with interviewers.