Advice for crime analyst to break into data science
4 days ago
- #crime-analysis
- #data-science
- #career-advice
- Crime analysts transitioning to data science need programming skills, especially Python.
- SQL and Excel are foundational but insufficient for entry-level data science roles.
- Machine learning or LLM (Large Language Model) skills are increasingly important for data science positions.
- Building a strong portfolio (GitHub, personal website) can compensate for the lack of a master's degree.
- Start applying to analyst roles immediately, even if some requirements seem out of reach.
- Larger companies offer better career ladders for analysts, with potential to transition into data science later.
- Remote roles are harder to secure; target crime-analysis-adjacent companies like Lexis Nexis, ESRI, or Axon.
- Additional resources include an alt-ac newsletter, blog posts on tech jobs/salaries, and resume advice.