Data Scientist
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Requirements
• BA in statistics, computer science, mathematics, or related quantitative field • Experience programming in Python and familiarity with common data science packages (Pandas, Numpy, scikit-learn) • Strong problem solving and analytical skills • Comfort with statistics (e.g., linear regression, hypothesis testing) • Willingness to work and learn in a fast-paced environment • $95,000 - $125,000 a year • Essential Job Functions & Physical Requirements • Ability to sit for extended periods of time while working at a computer, with or without reasonable accommodation • Ability to use a computer, keyboard, mouse, and standard office equipment (e.g., phone, printer, scanner) • Ability to view a computer screen for prolonged periods, with or without reasonable accommodation • Ability to communicate effectively in person, by phone, and via email • Ability to occasionally stand, walk, bend, and reach within an office environment • Ability to lift and/or move up to 10–15 pounds occasionally (e.g., office supplies, files), with or without reasonable accommodation • Ability to perform repetitive motions, such as typing or data entry • Ability to maintain focus and attention while performing detailed tasks • Interested, but you don’t meet every qualification? Please apply! • Arbol values the perspectives and experience of candidates with non-traditional backgrounds and we encourage you to apply even if you do not meet every requirement. • Arbol is committed to accessibility and inclusivity in the hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you require an accommodation to apply or interview, please contact [email protected]
Responsibilities
• Develop and implement machine learning models to analyze large datasets for business insights. • Collaborate with cross-functional teams within the company to understand data needs and integrate findings into decision-making processes. • Conduct exploratory data analysis, cleanse data sets, and prepare them for modeling by identifying outliers or missing values. • Evaluate machine learning models using appropriate metrics (accuracy, precision, recall) based on business objectives to ensure they provide valuable insights. • Stay current with the latest developments in AI tools relevant to data science and apply them effectively within projects when beneficial. • Communicate complex technical concepts clearly to non-technical stakeholders through reports or presentations, ensuring that business decisions are informed by accurate interpretations of model outputs.
Benefits
• Arbol is proud to offer its full-time employees competitive compensation and equity in a high-growth startup. Our health benefits include comprehensive health, dental, and vision coverage, and an optional flexible spending account (FSA) to support your health. We offer a 401(k) match to support your future, and flexible PTO for you to relax and recharge.