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

As a Data Scientist I, II at Crown, you'll engage in extensive data analysis to identify trends, patterns, and anomalies in big data sets while preparing data through mining and aggregation processes. You'll be responsible for interpreting results from both structured and unstructured data sources using your programming and analytical skills. Furthermore, you will design and implement machine learning tools to extract relevant information, ensuring your insights align with the objectives of various data analysis projects.

Crown requires a Master's degree in computer science, mathematics, engineering, or an equivalent field, along with five or more years of relevant experience for the Data Scientist role. Familiarity with implementing machine learning algorithms, especially in contexts relevant to NASA, is also desirable. Candidates based in the SF Bay Area are preferred to facilitate collaboration and communication with the team.

The salary range for the Data Scientist I, II positions at Crown is between $150,000 - $170,000. This compensation reflects the level of expertise and experience required for this pivotal role in our innovative team focused on groundbreaking aerospace projects.

Collaboration is central to the Data Scientist role at Crown. You will work closely with interdisciplinary teams to ensure that each data analysis project is not only aligned with its core objectives but also leverages diverse perspectives. This teamwork helps drive innovative solutions and sustainable outcomes in our aerospace and advanced transportation initiatives.

Data Scientists at Crown will work on the NAMS-2 project, focusing on advanced air mobility (AAM) within the aerospace sector. They will analyze big data sets, develop insights, and implement machine learning algorithms that contribute directly to the advancement of aviation technologies, including projects related to NASA and Federal Aviation Administration initiatives.

When answering this question, provide specific examples of projects where you performed data mining and analysis. Describe the tools you used, such as Python or R, and detail how your analysis led to actionable insights, highlight any significant outcomes of your work.

Share your familiarity with various machine learning algorithms such as regression, decision trees, or neural networks. Discuss any projects where you successfully implemented these algorithms and the results they achieved to demonstrate your technical prowess.

Explain your approach to data cleaning and validation. Highlight methods you use to identify missing values, erroneous data, or outliers, and how you preprocess data to ensure it's in the best possible condition for analysis.

Use this opportunity to narrate a specific project where you faced obstacles. Discuss how you navigated these challenges, the methodologies you used, and the positive impact the project had on the organization or a specific decision.

Detail your strategies for translating complex data findings into clear and understandable language for non-technical audiences. Mention any visualization tools you use, like Tableau or Power BI, and provide examples of successful communications.

List the programming languages you're comfortable with, such as Python, R, or SQL. Provide context on how you've used these languages in previous projects, emphasizing how they contributed to your analysis efficiency and effectiveness.

Talk about your commitment to continuous learning within the evolving field of data science. Mention resources, such as online courses, industry conferences, or academic journals you follow to keep your knowledge current.

Share specific examples of how you've handled unstructured data, such as text or images. Discuss the techniques and tools you used to extract meaningful insights from this type of data and how it impacted your overall analysis.

Discuss the key factors you consider when developing machine learning models, such as feature selection, model evaluation, and tuning. Highlight your experience with different model types and how you optimize their performance.

This is your chance to express your enthusiasm for Crown's mission and the specific projects you find compelling. Discuss how your personal values align with the company's focus on sustainability and innovation in the aerospace sector.