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Data Scientist Level 2

Base-2 Solutions United States

United States

Today

Full time Python Analytics Artificial Intelligence

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Job Description

Base-2 Solutions is seeking a Data Scientist Level 2 to support the VISTA (MT&E Team) by building and assessing machine learning, data mining, statistical, and graph-based analytics. The role converts mission requirements into scalable production analytics through collaboration with subject matter experts and engineering or cloud teams.

Responsibilities

Produce data visualizations that clarify dataset structure and meaning.
Partner with SMEs to identify key information within raw data and develop scripts to extract insights from multiple data formats, including SQL tables, structured metadata, and network logs.
Incorporate SME input into feature vectors for analytic development and testing.
Translate customer qualitative analysis processes and goals into quantitative formulations implemented in software prototypes.
Develop and implement statistical, machine learning, and heuristic techniques to support descriptive, predictive, and prescriptive analytics.
Create statistical tests to enable data-driven recommendations and decisions.
Design experiments to collect required data or build models to simulate data when data is not available.
Build feature vectors for machine learning algorithm input.
Select appropriate algorithms for a given dataset and tune input and model parameters.
Evaluate and validate analytic performance using standard methods and metrics, including cross-validation, ROC curves, and confusion matrices.
Oversee individual analytic efforts and guide the analytic development process for the team.
Direct analytic work toward solutions that can scale to large datasets.
Work with software engineers and cloud developers to deliver production analytics.
Develop and train machine learning systems based on statistical analysis of data characteristics to support mission automation.

Requirements

Active TS/SCI with Full Scope Polygraph.
Proficiency in 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, including TensorFlow and Scikit-Learn.
Ability to perform data wrangling, including cleaning, transforming, and organizing complex datasets.
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.
U.S. citizenship required.

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.

Technologies

Python, R
TensorFlow, Scikit-Learn
SQL, PostgreSQL, MongoDB
Tableau, Matplotlib
SAS, MATLAB

Benefits

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).
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.
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.
401(k) with immediate vesting: 4% company match plus a 4% non-elective company contribution (8% total).
401(k) pre-tax and Roth options.
Up to 20 days of flexible paid time off (PTO).
11 paid floating holidays.
Flexible work schedules, including flex time and compressed work periods (contract and project-dependent).

Location, Work Type, and Schedule

Location: Annapolis Junction, MD
Work type: On-Site
Shift: First
Location (stated): United States (onsite)

Additional Information

Requisition ID: 4923
Standard Title: Junior Data Scientist
Referral eligibility: Eligible
Required certifications: None specified

Required Education and Experience Equivalency

High School Diploma/GED with 9 years of experience.
Associate Degree with 9 years of experience.
Bachelor’s Degree with 5 years of experience.
Master’s Degree with 5 years of experience.
PhD with 1 years of experience.

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