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Skills mentionedPythonSQLNLP
ACTFORE delivers AI/ML-powered data mining solutions that help legal teams, insurers, and corporations respond to cyber incidents with unmatched speed and accuracy. Our Data Science team ingests and prepares client data so the rest of ACTFORE can analyze it fast and accurately.
As a Jr. Data Scientist, you build and maintain the Python workflows that clean, structure, and validate data at scale. This is a hands-on, individual-contributor role focused on data preparation and process improvement, with room to grow into more advanced modeling and automation work over time.
Job Summary: The Jr. Data Scientist prepares, cleans, and processes data for analysis, working across structured and unstructured sources to build automation workflows and strengthen data processes. Over time, this role also contributes ideas and solutions to make ACTFORE's data operations more efficient.
Compensation
$22/hr
Possibility of moving into a full time position which would have a competitive salary, benefits, and annual bonus.
Typical Schedule
Onsite in Reston, VA (in‑office presence required)
Temporary Part-time role with normally giving you 30hrs per week. The full-time position may require the employee to remain in the office beyond standard working hours until all essential duties and assignments are completed. Work hours may vary depending on workload and business needs.
Key Responsibilities
Build and maintain Python workflows for text and data processing
Review and validate extracted data for accuracy
Collaborate with data engineering and IT teams to ensure data is available and reliable
Support improvements to data science workflows and best practices
Document methods, assumptions, and limitations of data processes
Monitor data quality and ensure integrity across sources
You will be a fit if
Bachelor's degree in Data Science, Computer Science, Statistics, or a related field
Experience working with data analytics tools, including hands-on data cleaning, preprocessing, and feature engineering would be preferred
Proficiency in Python is required to build and maintain workflows
Strong MS Excel skills, including advanced formulas, functions, and macros
Basic knowledge of SQL for data querying and manipulation
Exposure to AI, machine learning, or deep learning is a plus
Experience with text processing or natural language processing is preferred
Equal opportunity and legal
Knowledge of PII, PHI, GDPR, FERPA, or other data privacy regulations is a plus
