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Data Scientist Level 2

Annapolis, MD, US • Posted 30+ days ago • Updated 9 hours ago

Full Time

On-site

USD $161,137.00 - 189,572.94 per year

Fitment

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Job Details

Skills

Microsoft Windows Vista
Data Mining
Workflow
Scripting
Meta-data Management
Network
Prototyping
Management
Programming Languages
Data Manipulation
Probability
Regression Analysis
Testing
Machine Learning (ML)
Algorithms
TensorFlow
scikit-learn
Data Wrangling
Organizational Skills
SQL
Database Administration
PostgreSQL
MongoDB
Data Visualization
Tableau
matplotlib
Statistics
Mathematics
Operations Research
Computer Science
Data Analysis
R
Python
SAS
MATLAB
Cloud Computing
Analytics
Analytical Skill
Qualitative Analysis
Security Clearance
Business Development
PPO
Point Of Sale
HMO
Life Insurance
Taxes
Apache Flex

Summary

Requisition ID: 2390
Standard Title: Junior Data Scientist
Required Security Clearance: Top Secret/SCI with Full Scope Polygraph
Location: Annapolis Junction, MD
Work Type: On-Site
Shift: First
Referral Eligibility: Eligible
U.S. Citizenship Required? Yes

Pay Range

$161,137.00 - $189,572.94 Annually

Position Summary

Base-2 Solutions is seeking a Data Scientist Level 2 to support the VISTA (MT&E Team). This role develops machine learning, data mining, statistical, and graph-based algorithms to analyze complex datasets, build and evaluate models, generate data-driven insights, and support the integration of analytics into production workflows. The position partners with subject matter experts, software engineers, and cloud developers to translate mission needs into scalable analytic solutions.
Essential Duties and Responsibilities

Produce data visualizations that provide insight into dataset structure and meaning.
Work with subject matter experts (SMEs) to identify important information in raw data and develop scripts that extract this information from a variety of data formats, including SQL tables, structured metadata, and network logs.
Incorporate SME input into feature vectors suitable for analytic development and testing.
Translate customer qualitative analysis processes and goals into quantitative formulations coded into software prototypes.
Develop and implement statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics.
Develop statistical tests to make data-driven recommendations and decisions.
Develop experiments to collect data or models to simulate data when required data are unavailable.
Develop feature vectors for input into machine learning algorithms.
Identify the most appropriate algorithm for a given dataset and tune input and model parameters.
Evaluate and validate the performance of analytics using standard techniques and metrics, including cross-validation, ROC curves, and confusion matrices.
Oversee the development of individual analytic efforts and guide the team in the analytic development process.
Guide analytic development toward solutions that can scale to large datasets.
Partner with software engineers and cloud developers to develop production analytics.
Develop and train machine learning systems based on statistical analysis of data characteristics to support mission automation.

Required Qualifications

Active TS/SCI with Full Scope Polygraph.
Proficiency in programming languages such as Python and R for data manipulation, analysis, and algorithm implementation.
Strong foundation in statistics and probability, including regression analysis, hypothesis testing, and statistical distributions.
Knowledge of machine learning algorithms and frameworks, such as TensorFlow and Scikit-Learn.
Ability to perform data wrangling, including cleaning, transforming, and organizing complex datasets into usable formats.
Familiarity with SQL and database management systems such as PostgreSQL and MongoDB.
Experience with data visualization tools such as Tableau and Matplotlib.
Bachelor's degree from an accredited college or university in a quantitative discipline, such as statistics, mathematics, operations research, engineering, or computer science.
Five (5) years of experience analyzing datasets and developing analytics.
Five (5) years of experience programming with data analysis software such as R, Python, SAS, or MATLAB.

Preferred Qualifications

Experience partnering with software engineers and cloud developers to develop production analytics.
Experience guiding analytic development efforts toward scalable solutions for large datasets.
Experience translating customer qualitative analysis processes into quantitative software-based solutions.

Required Education and Experience Equivalency

EducationYears of ExperienceHigh School Diploma/GED9Associate Degree9Bachelor's Degree5Master's Degree5PhD1

Required Certifications

None specified.

Required Security Clearance

Active TS/SCI with Full Scope Polygraph.

Pay & Benefit Highlights
Compensation

Competitive fixed salary or hourly pay (based on experience, skills, location, and internal equity).
Employee referral bonuses up to $10,000 per hired referral.
Additional bonus opportunities for exceptional performance and contributions to business development and company growth (role-dependent).

Health

100% company-paid medical premiums for employees and eligible dependents.
Choose from multiple plan options with CareFirst, Kaiser, and UnitedHealthcare, including PPO, POS, HMO, and HSA-compatible plans.
100% company-paid dental premiums for employees and eligible dependents.
100% company-paid vision premiums for employees and eligible dependents.

Income Protection

100% company-paid premiums for short-term disability.
100% company-paid premiums for long-term disability.
100% company-paid premiums for accidental death & dismemberment (AD&D).
100% company-paid premiums for life insurance up to $200,000.

Retirement

401(k) with immediate vesting: 4% company match plus a 4% non-elective company contribution (8% total).
401(k) pre-tax and Roth options.

Leave

Up to 20 days of flexible paid time off (PTO).
11 paid floating holidays.

Work-Life Balance

Flexible work schedules, including flex time and compressed work periods (contract and project-dependent).

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90984897
Position Id: 66a70a9bb50645b9fae0834b8f046ef6
Posted 30+ days ago

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