Search for Data Scientist positions in Bethesda, MD, requiring TS/SCI clearance, with 8+ years of experience, proficiency in Python, and a focus on national security analytics.

Okay, I've searched for Data Scientist positions in Bethesda, MD that require TS/SCI clearance, with at least 8 years of experience, proficiency in Python, and a focus on national security analytics. I have found 27 positions for you.

Data Scientist

Bethesda, MD

Security Clearance

8 years + Experience

Python

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

Sure. Here's the analysis:

Job Analysis:

The Data Scientist role at Leidos involves conducting advanced research-level data science and analytics aimed at supporting mission-focused projects, particularly in national security. The core responsibility is to deliver state-of-the-art data science capabilities by applying machine learning and predictive analytics to make informed decisions based on vast amounts of data. The successful candidate will need to collaborate closely with a diverse team, demonstrating technical proficiency and strong communication skills to present complex findings to non-technical audiences. The role demands not only technical skills in programming and data handling but also the ability to think critically and apply strategic insight, as the candidate may encounter projects that require innovative approaches to problem-solving and data interpretation. Success in this role will likely be measured by the ability to produce actionable intelligence insights promptly and contribute to the development of algorithms that enhance national security capabilities. A candidate's ability to manage multiple projects while working under varying degrees of autonomy will be crucial as they navigate the complexities of big data and its implications on security developments.

Company Analysis:

Lensa has positioned itself as a transformative player in the job search industry by leveraging machine learning to streamline the talent acquisition process. This innovative focus suggests that the company values creativity, efficiency, and a mission-oriented approach towards connecting job seekers with opportunities. The culture at Lensa appears to prioritize collaboration among technology experts and a commitment to refining career strategies through analytical methodologies. Working for a company with a strong emphasis on technology and data analytics aligns well with the Data Scientist position, as the role requires a forward-thinking mindset and an ability to adapt to the rapidly changing technological landscape. Additionally, being part of a larger organizational structure that includes software developers and investigators implies that the Data Scientist will enjoy considerable support and opportunity for professional development, while also being expected to engage proactively in multidisciplinary collaboration. Overall, this role is strategically aligned with Lensa's objective to enhance and innovate within the career marketplace, positioning the candidate to make a substantial impact in the intersection of technology and career advancement.

Mock up some interview questions based on the job description.

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

Can you tell me about a time when you had to analyze a complex dataset and present your findings to a non-technical audience? What challenges did you face?
Describe a situation where you had to work collaboratively with a cross-functional team. How did you ensure effective communication and integration of ideas?
What is one of the most creative solutions you've implemented during a data science project? How did you come up with that idea?
How do you prioritize your tasks when working on multiple data science projects simultaneously?
What techniques would you employ to build and deploy predictive algorithms efficiently?
Describe your experience with one or more scripting languages, specifically in relation to data analysis and analytics.
Can you walk us through your approach to designing a research study that involves big data? What key elements do you consider?
Imagine you are tasked with improving the accuracy of a predictive model that has been underperforming. What steps would you take to address this issue?
Why are you interested in working for Leidos specifically, and how do you believe your background aligns with their mission?
What aspects of Lensa's approach to AI in recruitment resonate most with you, and how do you see your work contributing to that?
What has been your experience with data visualization tools, and how do you determine which visual representations best communicate results?
How comfortable are you in leveraging cloud services like AWS for data analytics, and what specific tools or methodologies have you utilized?
What strategies do you think are essential for encouraging user adoption of high-end data analytics platforms?
What questions do you have about the team you will be working with, and how collaboration might enhance your contributions in this role?
How do you stay current with industry trends in data science and analytics, and what resources do you utilize to deepen your knowledge?

Job Details

Overview Company

Senior Data Scientist

$104.65k/y-$189.18k/y

Lensa

11 days ago

Highlight

HybridFull-time8+ yearsSenior

Summary

Leidos is seeking a Data Scientist to join their team in Bethesda, MD. The role involves advancing national security objectives through cutting-edge data science capabilities.

About the Role

As a Data Scientist, you will support a major program in mission-focused big data and predictive analytics. You will work closely with a team to design, build, and optimize a Data Science platform, analyze big data, and deliver findings to a non-technical audience. The role includes working on multiple projects related to national security, cyber security, and business intelligence.

About You

Required:

B.S. Degree in a quantitative or analytical field such as Computer Science, Mathematics, Economics, Statistics, Engineering, Physics, or Computational Social Science; or master’s degree or equivalent graduate degree including certificate-based advanced training courses.
8+ years of experience in data science, analytics, or quantitative intelligence analysis, with 6+ years required with a Master’s degree.
Active TS/SCI clearance and ability to obtain and maintain Polygraph.
Proficiency in one or more scripting languages such as R or Python.
Experience working with a hybrid team of analysts, engineers, and developers.
Previous experience performing Data Science or Research in data analytics or big data.
Familiarity using git, svn, JIRA, or other version control technologies.

Preferred:

Experience in direct support of military or intelligence community customers.
Experience with data classes such as open source, publicly available information (PAI); forensic media; measurement and signatures intelligence (MASINT); or cybersecurity and cyber forensics.
Experience with information retrieval and search, e.g. SQL, and/or Elastic Stack.
Deployment of data science applications using Docker, Kubernetes, and/or OpenShift.
Experience with Knowledge Graphs and KG tech such as neo4j or graph ML.
Experience developing predictive algorithms, image classifiers, object detectors.
Familiarity with social network analysis, supply chain analysis, forensic accounting, pattern of life, natural language processing, social media analysis, classification algorithms, and/or image processing.
Experience with Amazon Web Services (AWS/C2S).
Familiarity with hardware platforms, e.g., CPUs, GPUs, FPGAs.
Familiarity or experience with building applications around Large Language Models, Agentic AI.
Familiarity with Kubernetes - deploying and managing applications.

Lensa

What if we could take the search out of job search? This is the question Lensa has been answering since launching in San Francisco, California in August 2016. Using machine learning, we instantly provide companies with candidates and match professionals with positions that fit their skills, goals, personalities, and needs. How does it work? Lensa applies complex algorithms that identify the skills needed to succeed on a given job. Candidates can play computer games that assess their work style, thus gaining insight into their strengths while unlocking career opportunities. The result: job search that puts people first while reducing the time and cost of talent acquisition.

Lensa passed 10 million job seeker registrations in 2019, making the com- pany one of the premier career platforms.

With teams in multiple U.S. locations and a 60-strong crew of developers and data scientists at its R & D headquarters in Europe, Lensa is working every day to share its transformative career technology with the world.

Bethesda, MD