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Mid-level ML role with broad skill requirements but lesser-known employer and non-metro location.
Core ML, Python, SQL, and visualization skills are broadly transferable across industries.
Explicit three-year minimum plus mandatory ML, statistical, and big-data tool requirements.
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Analyze large datasets to extract actionable business insights and drive value.
Develop and implement machine learning models using Python/R and relevant libraries.
Communicate technical findings effectively to non-technical stakeholders and support data-driven decision making.
Minimum 3 years of experience in data science or analytics roles.
Proficiency in Python and/or R with strong statistical analysis skills.
Experience with machine learning libraries (scikit-learn, pandas, NumPy), SQL, and big data technologies (Spark, Hadoop).
Expertise in data visualization tools such as Tableau, Power BI, or matplotlib.
Experienced in experimental design and A/B testing to validate data-driven strategies.
Capable of working independently with strong problem-solving skills in fast-paced environments.
Skilled in translating complex data and model results into business insights for diverse audiences.