Data Scientist I
Knowesis Inc.
Alexandria, VA, United States
about 1 month ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Starter
Compensation
$90,000.0 - $110,000.0
Working hours
Regular working hours
Languages
English
Job source
Tech stack
Microsoft Access
Microsoft Word
Microsoft Excel
Data Analysis
Cloud Database
Data Governance
Extract Transform Load (ETL)
Data Mining
Data Visualization
Data Warehousing
R (Programming Language)
SPSS (Software)
+17 more
Python (Programming Language)
Machine Learning
Microsoft Office
Microsoft SQL Server
Natural Language Processing
Power BI
SAS (Software)
Data Processing
Microsoft Power Automate
Large Language Models
Apache Spark
Pyspark
Data Analytics
Low-code
Data Pipelines
Powerapps
Databricks
Job description
- Conducts data analytics, data manipulation, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual, and verbal narrative products, enabling more informed analytic decisions.
- Enter and analyze data within government systems. Aggregate data sets across numerous applications and develop trend analysis. Create products demonstrating these trends.
- Modify and update existing data sources to provide relevant program related outcome metrics.
- Maintain dashboards to automate data analysis, identifying, interpreting, and presenting trends, designed to record POTFF-related programmatic data.
- Assist the POTFF staff with survey design. Create, analyze, and report survey data.
- Provide consultation and assistance to supported units and POTFF staff to identify opportunities and methods for capturing data related to POTFF programs and initiatives.
- Work in consultation with POTFF program staff and the Government’s POTFF biostatistician.
- Provide subject matter expertise in the areas of program evaluation, research methodologies, and data analysis.
- Be able to use statistics/modeling tools and data visualization techniques to provide an accessible way to see and understand trends, outliers, and patterns in data to produce reports and presentations that accurately convey data trends supporting the mission.
Requirements
- Bachelor’s degree in quantitative science, social science, or a related discipline.
- Basic proficiency with the suite of Microsoft Office programs, including Word, Excel, and Access.
- Basic proficiency with commonly used statistical software applications such as SPSS, SAS, Python, and R-Shiny.
- Be able to read, write, and speak English fluently and clearly to effectively communicate with all personnel they will interact with.
- Possess excellent verbal, written, interpersonal communication, presentation skills, and shall be highly detail oriented.
- Possess sufficient initiative, interpersonal relationship skills, and social sensitivity such that they can relate constructively to a variety of contacts from diverse backgrounds., * Certification or documented experience with Human Performance.
- Experience working with Special Operations, athletics/sports, or other military settings.
- Strong technical and analytical skills in the following:
- SQL Server, Databricks, Apache Spark (PySpark), Python, Power BI, Power Apps, and Power Automate
- Knowledge of ETL/ELT development, dimensional data modeling, data governance, machine learning, statistical analysis, NLP, large language models (LLMs), retrieval-augmented workflows, and data pipeline orchestration.
- Experience supporting enterprise analytics, dashboard development, predictive modeling, and low-code automation solutions in Microsoft and cloud-based data environments preferred.
Benefits & conditions
Pulled from the full job description
- Health insurance
- 401(k) matching
- Vision insurance
- Dental insurance
- Life insurance
- Disability insurance, *
- Health (PPO & HDHP) Insurance, Dental, Vision, STD & LTD, Basic Life Insurance, 401k Company Match, & Voluntary Products.
Knowesis is committed to providing equal employment opportunities to all individuals based on merit and qualifications. We prohibit discrimination in all aspects of employment as required by Title VII of the Civil Rights Act and other applicable federal laws. Our company values all applicants and employees and fosters a work environment where everyone is treated with respect and dignity.
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