Search for mid-level Data Scientist positions in Hickam Village, HI that require a Secret security clearance, full-time schedule, and expertise in Python and machine learning.

Okay, I've searched for mid-level Data Scientist roles in Hickam Village, HI requiring a Secret security clearance, full-time schedule, and skills in Python and machine learning. I have found 23 positions for you.

Data Scientist

Hickam Village, HI

Secret

Full Time

Python

machine learning

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

This Data Scientist role is fundamentally designed to support Huntington Ingalls Industries' Mission Technologies division by transforming complex, unstructured, and semi-structured data into actionable, predictive insights that optimize defense-related operations. The position demands a blend of advanced technical skills—including expertise in machine learning model development, big data architecture, and statistical analytics—applied within sophisticated cloud and clustered computing environments. The candidate will navigate the intersection of data engineering and analytics leadership, acting as a critical liaison among teams to ensure that data-driven solutions meet strategic operational goals. Success here means not only technical proficiency but also the ability to communicate complex findings to non-technical stakeholders, anticipate and mitigate risks in analytics processes, and stay attuned to emerging trends in defense technologies and financial services data modeling. Given the security clearance requirement and the mission-critical nature of the work, candidates must demonstrate impeccable judgment and responsibility while adapting to the fast-evolving landscape of national defense intelligence and decision-making. Early success would involve establishing trusted, efficient model pipelines, delivering predictive insights that influence key decisions, and fostering cross-disciplinary collaboration that advances the division's all-domain operational capabilities.

Company Analysis:

Huntington Ingalls Industries, through its Mission Technologies division, occupies a unique and vital niche at the forefront of defense technology innovation. As a leading designer of advanced ISR and mission management systems for the Department of Defense and allied agencies, HII blends deep technical prowess with a commitment to national security, emphasizing ethical responsibility and operational excellence. The company culture likely balances a disciplined, mission-oriented atmosphere with a strong drive for innovation, evident in their pursuit of cutting-edge AI, big data, and cyber solutions. Working at HII means engaging in work that directly impacts the safety and strategic capabilities of the United States, offering a meaningful career beyond routine corporate roles. The role’s position within a large division of over 7,000 professionals suggests significant resources and expertise but also necessitates strong collaboration across teams and with leadership to align analytics outputs with broader military objectives. Given recent accolades recognizing the company’s workplace environment and veteran support, a candidate should expect a values-driven culture that supports diversity and continuous learning. Strategically, this hire is critical to advancing the company’s leadership in the evolving data-centric defense space, helping to scale analytics capabilities that fuel superior operational decisions and maintain competitive advantage in a security-focused, technologically advanced market.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Behavioral: Tell me about a time when you had to explain complex data science concepts to a non-technical stakeholder. How did you ensure clear understanding?
Behavioral: Describe a situation where you identified a gap or risk in an analytics process. What steps did you take to address it?
Behavioral: Can you share an example of how you collaborated across multiple teams, such as engineers and business leaders, to deliver a data-driven solution?
Behavioral: Recall a challenge you faced working with unstructured or semi-structured data. How did you approach it, and what was the outcome?
Technical/Role-Specific: How would you design and validate a machine learning model to predict behaviors in a defense-related dataset?
Technical/Role-Specific: Explain your experience with latent semantic indexing (LSI) and entity identification. How have you applied these techniques in past projects?
Technical/Role-Specific: What are the key considerations when deploying data science algorithms on distributed and cloud-based high-performance infrastructures?
Technical/Role-Specific: Describe your proficiency with Python, R, and Spark. Which tools do you prefer for specific tasks and why?
Situational: Imagine you receive incomplete or noisy data shortly before a critical decision deadline. How would you handle model development and stakeholder communication?
Situational: Suppose a champion machine learning model you developed underperforms once put into production. What steps would you take to diagnose and improve it?
Situational: You're working with a cross-functional team, but conflicting priorities arise between analytics leads and data engineers. How would you navigate this conflict?
Company Fit/Motivation: What interests you most about working at Huntington Ingalls Industries and contributing to national defense through data science?
Company Fit/Motivation: How do your personal values align with HII’s mission to safeguard seas, sky, land, space, and cyber environments?
Company Fit/Motivation: Considering HII’s focus on veterans and ethical work culture, how would you approach contributing to and thriving in this environment?
Questions to Ask Interviewer: Can you describe how the data science team collaborates with other technical and operational teams within Mission Technologies?
Questions to Ask Interviewer: What are the most significant challenges currently facing data scientists in this role, and how does HII support overcoming them?
Questions to Ask Interviewer: How does HII invest in the continuous learning and professional development of its data science workforce?

Job Details

Overview Company

Data Scientist I

$67.1k/y-$100k/y

Lensa

a month ago

Highlight

OnsiteFull-time0+ yearsEntry

Summary

HII Mission Technologies is seeking a Data Scientist (Data Scientist 1) to join their team in Hickam Village, HI. The role involves analyzing unstructured and semi-structured data, developing machine learning models, and leveraging modern analytics technologies to deliver strategic solutions.

About the Role

As a Data Scientist, you will analyze unstructured and semi-structured data, apply analysis algorithms on high-performance infrastructures, develop machine learning models, and manage big data to build insights. You will evaluate model design and performance, use statistical practices to identify trends, and transform data models into actionable insights. You will also act as a point of contact between data analysts and analytics leads, monitor industry trends, and identify areas for improvement in analytics processes.

About You

Required:

Bachelor's degree in a related field or High School Diploma with 4 years relevant experience.
Strong knowledge of statistical modeling, data mining, and machine learning techniques.
Familiarity with modern data science tools, including Python, R, Spark.
Ability to interpret and present complex data to business leaders and stakeholders.
Active DoD Secret Clearance.

Benefits

Best-in-class medical, dental, and vision plan choices.
Wellness resources and employee assistance programs.
Savings Plan Options (401(k)) and financial planning tools.
Life insurance and employee discounts.
Paid holidays and paid time off.
Tuition reimbursement and education scholarships.
Occasional bonus/other non-recurrent compensation for qualified positions.

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Hickam Village, HI