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Data Scientist
Job Description:
As a Data Scientist, you will be involved in full spectrum analytic technical support to mission operations and the intelligence lifecycle: requirements collection and refinement, translating user requirements into technical requirements, environment configuration, exploratory data analysis, model development, selection, and evaluation, identifying insights from analytic products and then communicating those results to a nontechnical audience. To that end, you will work with cross-functional teams to identify relevant and permissible data sources, access available infrastructure, and to develop analytic products tailored to mission user requirements. Strong communication and interpersonal skills are critical in your ability to collaborate with your technical colleagues and building rapport with the customer. Your analytic products should clearly and succinctly distill trends, illuminate latent patterns, and spotlight insights in an easy-to-consume manner for customers to take action on.
Qualifications:
• Bachelor’s degree or equivalent practical experience.
• 6 years of experience in computer science, data science, data analytics
• Experience executing data science methods using python libraries for Data Cleaning/Wrangling, Exploratory Data Analysis (EDA), Statistical Analysis, Data Visualization
• Strong proficiency in programming languages such as Python
• Agile development experience along with related technologies (e.g., Jira)
Preferred Qualifications:
• Understanding of version control, testing, and debugging.
• Familiarity and experience with the Intelligence Community (IC), and the intel cycle.
• Familiarity and experience with the Department of Homeland Security (DHS).
• Strong communications skills with the ability to effectively convey technical concepts to various stakeholders and audiences
• Master’s degree or equivalent experience in a related field
Role Requirements:
• Minimum education requirements: Bachelor’s Degree
• Required professional and vendor certifications: AWS Certified Developer Associate
Responsibilities:
• Participate in architectural design discussions
• Help make decisions on changes cloud infrastructure as needed to accommodate changing user requirements
• Consider cost trade-offs of various cloud environment configurations and contribute to budget discussions
Skills:
• Data Analytics
• Data Visualisation
• Jupyter Notebooks
• Data Science
• Python and R Studio
• GitLabAnalytical Approach
Full Time
$122k-150k (estimate)
04/28/2024
05/16/2024
m9solutions.com
ARLINGTON, VA
50 - 100
2007
JAMES MCKEE
$5M - $10M
Business Services
Founded in 2007, M9 Solutions is a fast-growing small business dedicated to providing IT services and solutions to the Federal Government. We focus on developing and delivering robust, secure, and stable technology solutions across multiple core capabilities to include software development, cloud migration and infrastructure, cybersecurity, data delivery, and data analytics. M9 is DELIVERING THE DIGITAL FUTURE by mobilizing the right people, skills, clearance levels, and technologies to help organizations who desire improved performance and modern, sustainable change.
The following is the career advancement route for Data Scientist positions, which can be used as a reference in future career path planning. As a Data Scientist, it can be promoted into senior positions as a Data Scientist IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Scientist. You can explore the career advancement for a Data Scientist below and select your interested title to get hiring information.
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Quotes from people on Data Scientist job description and responsibilities
Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.
12/22/2021: Dallas, TX
Data scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.
02/17/2022: Lompoc, CA
A data scientist develops software to structure the raw data.
02/16/2022: Lansing, MI
Data scientist will need to meet with their business stakeholders early and often to ensure that they are on the same page about the goals and deliverables of the project.
02/12/2022: San Diego, CA
Data scientists may spend some of their time working on ad hoc data requests, but these types of requests should only take up a small portion of their time.
02/01/2022: Peoria, IL
Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Scientist jobs
Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.
01/31/2022: Passaic, NJ
Data scientists lay a solid foundation to help perform all kinds of analysis.
01/31/2022: Champaign, IL
Data scientists are also expected to have stronger software engineering skills that data analysts.
02/19/2022: Springfield, OR
Business analysts are focused on reporting, just like data analysts.
02/04/2022: Jamestown, NY
A data scientist should understand the assumptions that need to be met for each statistical test.
03/04/2022: Hialeah, FL
Step 3: View the best colleges and universities for Data Scientist.