Junior Data Scientist roles - what actually works? (Not the LinkedIn advice)
I'm transitioning into JDS roles and have done the "portfolio projects" thing - deployed 3 ML projects on Streamlit, tailored resumes, all that. But I'm trying to figure out what actually moves the needle. Background: 1.5 years as Data Analyst at a fintech . Built funnels, A/B testing, some ML work (XGBoost, Prophet, SHAP). AIML degree. I can code, I understand data, I think like a product person. My real questions: Which matters more - the project quality or that it's "live"? a Data Analyst? How do I position myself for that jump without 2+ years DAO experience? I could demo.) What do they actually test? for startups vs established companies? Not looking for generic "leetcode + networking" advice. Looking for what actually worked for people who made this jump. Would appreciate any real war stories or honest takes.
Posted by /u/Designer-Mirror-8823 on r/jobs
Source: www.reddit.com ↗
I'm transitioning into JDS roles and have done the "portfolio projects" thing - deployed 3 ML projects on Streamlit, tailored resumes, all that. But I'm trying to figure out what actually moves the needle. Background: 1.5 years as Data Analyst at a fintech . Built funnels, A/B testing, some ML work (XGBoost, Prophet, SHAP). AIML degree. I can code, I understand data, I think like a product person. My real questions: Which matters more - the project quality or that it's "live"? a Data Analyst? How do I position myself for that jump without 2+ years DAO experience? I could demo.) What do they actually test? for startups vs established companies? Not looking for generic "leetcode + networking" advice. Looking for what actually worked for people who made this jump. Would appreciate any real war stories or honest takes.
Posted by /u/Designer-Mirror-8823 on r/jobs
Source: www.reddit.com ↗