Remote Data Scientist – Survey Data & Cleaning (Part-Time)

Lumecg; Sacramento (CA); Hybrid; USD 55,000 - 83,000; Part time

Job summary

Lume Consulting Group, a Sacramento-based IT consulting firm, is seeking a skilled Data Scientist for remote, part-time engagement focused on data cleaning and survey data analytics. Candidates should have Master’s level training or equivalent experience in survey methodology and statistics, with proficiency in R, Python, or Stata.

Responsibilities include transforming raw survey data for analysis, managing data dictionaries, and applying disclosure avoidance techniques to protect

Qualifications

• Master’s level training or equivalent experience in survey methodology, statistics, data science, or computational social science.
• Experience with demographic, workforce, and/or business survey data.
• Proficiency in at least one of R, Python, or Stata.
• Experience transforming raw survey data into a usable format for statistical and demographic analysis.
• Experience with data management: merging, cleaning, transforming, harmonizing, verifying, publishing data for analysis.
• Experience evaluating data quality and verifying data validity.
• Experience creating/managing databases, data dictionaries, and codebooks.
• Experience applying disclosure avoidance techniques to confidential data and preparing public data products.
• Strong written and verbal communication, including technical writing.
• Ability to identify data/analytic needs, problem-solve, and provide expert recommendations to clients.

Skills

Data Cleaning

Survey methodology

Applied statistical analysis

Data science/analytics

Computational social science

Education

Master’s degree or equivalent experience

Tools

R

Python

Stata

Job description

Lume Consulting Group, a Sacramento-based IT consulting firm, is seeking a skilled Data Scientist for remote, part-time engagement focused on data cleaning and survey data analytics. Candidates should have Master’s level training or equivalent experience in survey methodology and statistics, with proficiency in R, Python, or Stata.

Responsibilities include transforming raw survey data for analysis, managing data dictionaries, and applying disclosure avoidance techniques to protect