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Hybrid metro ML/data role with popular skills and mid-level experience increases applicant competition.
Technical ML and analytics skills are transferable, though MATLAB and product familiarity favor similar industry backgrounds.
Explicit 6-year requirement plus mandatory SQL, programming, ML/LLM, and visualization skills raises screening strictness.
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Lead end-to-end data science tasks: identify questions, analyze data, and support decision-making across teams.
Develop and maintain dashboards and reports using Power BI and MATLAB to communicate insights and trends.
Build statistical, machine learning, and NLP/LLM models to analyze data and user behavior for business impact.
Bachelor's degree with 6 years experience; or Master's degree with 3 years experience; or PhD or equivalent experience.
Strong knowledge of SQL and relational databases with experience querying large datasets.
Programming experience in Python, R, or MATLAB.
Familiarity with data visualization tools like Power BI or Tableau.
Has proven experience partnering with SMEs and cross-functional teams to translate business needs into data-driven solutions.
Experienced in building advanced models including machine learning and NLP/LLM for both quantitative and qualitative data analysis.
Comfortable explaining complex technical insights clearly to both technical and non-technical stakeholders.