Data Scientist, Level 1

WOOD Federal Solutions

Fort Meade (MD)

On-site

USD 138,000 - 152,000

Full time

9 hours ago
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Benefits offered by this job

Health Insurance
401(k) with company match
Paid Time Off (PTO)
Professional Development
Work-Life Balance
Wellness Programs

Job summary

WOOD Federal Solutions in Fort Meade, Maryland, is seeking a Data Scientist, Level 1, for full-time work with daytime shifts. The role requires US citizenship and an active TS/SCI clearance with polygraph.

Salary ranges from $138,200 to $152,000 per year, with starting pay based on education and experience. Responsibilities include producing data visualizations, collaborating with SMEs to extract information from diverse data formats, and transforming qualitative goals into quantitative features

Qualifications

  • Bachelor's degree in statistics, mathematics, operations research, engineering, or computer science with four years of analytics experience.
  • Master's degree may substitute for two years analytics experience and one year programming with data analysis software (R, Python, SAS, MATLAB).
  • In lieu of a Bachelor's Degree, four additional years of analytics experience may substitute for eight years of analytics experience and two years programming.

Responsibilities

  • Produce data visualizations that provide insight into dataset structure and meaning.
  • Collaborate with SMEs to identify important information and develop scripts that extract this information from various data formats (e.g., SQL tables, structured metadata, network logs).
  • Incorporate SME input into feature vectors suitable for analytic development and testing.
  • Translate customer qualitative analysis 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.

Skills

Data visualization
Statistical analysis
Machine learning
Data wrangling
Collaboration with SMEs

Education

Bachelor's degree in statistics / mathematics / OR / engineering / computer science
Master's degree substitution: 2 years analytics + 1 year programming
Alternative: 8 years analytics experience in lieu of Bachelor's

Tools

Python
R
SAS
MATLAB
SQL

Job description

Overview

Data Scientist, Level 1

woodfederalsolutions.com

Location: Fort Meade, Maryland, USA

Job Type: Full-Time

Shift: Day

Telework: None

Salary Range: ** $138,200 to $152,000 per year

Starting salary is based on minimum education and years of experience and increases based on education and/or experience.

Security Clearance Requirements

This position requires all candidates to be U.S. Citizens and possess an active TS/SCI Security Clearance with a Polygraph.

Responsibilities
  • Produce data visualizations that provide insight into dataset structure and meaning.
  • Collaborate with subject matters experts (SMEs) to identify important information in raw data and develop scripts that extract this information from a variety of data formats (e.g., SQL tables, structured metadata, network logs).
  • Incorporate SME input into feature vectors suitable for analytic development and testing.
  • Translate customer qualitative analysis process and goals into quantitative formulations that are 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.
Qualifications
  • Requires a Bachelor's degree in a relevant discipline (e.g., statistics, mathematics, operations research, and engineering or computer science) from an accredited college or university, and four (4) years of experience analyzing datasets and developing analytics and two (2) year of experience programming with data analysis software such as R, Python, SAS, or MATLAB.
  • A Master's degree in relevant discipline may be substituted for two (2) years of relevant experience analyzing datasets and developing analytics, and one (1) year of relevant experience programming with data analysis software such as R, Python, SAS, or MATLAB.
  • In lieu of a Bachelor’s Degree, an additional four (4) years of relevant experience may be substituted for a total of eight (8) years of relevant experience analyzing datasets and developing analytics, and two (2) years of experience programming with data analysis software such as R, Python, SAS, or MATLAB.
Fringe Benefits
About WOOD
  • Health Insurance: Comprehensive medical, dental, and vision plans.
  • Retirement Plan: 401(k) with company match.
  • Paid Time Off: Generous PTO policy including vacation, sick leave, and holidays.
  • Professional Development: Opportunities for training, certifications, and career advancement.
  • Work-Life Balance: Flexible work schedules and remote work options.
  • Wellness Programs: Employee assistance programs, wellness initiatives, and gym membership discounts.
Why Join Us?
  • Career Growth: Take advantage of professional development opportunities and career advancement. As a vital part of impactful projects, you will have the chance to drive innovation and shape the future of government systems engineering.
  • Supportive Environment: Work in a collaborative and flexible environment that values work-life balance. Join a team of top-tier professionals and engage in dynamic, cross-functional collaboration. Your strategic mindset and proactive approach will be highly valued and supported.
  • Competitive Compensation: Enjoy a competitive salary and comprehensive benefits package. We recognize and reward your expertise and dedication to excellence.

WOOD Federal Solutions, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

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