Data Scientist

Mid-level Data Scientist talent pool in Seattle, focused on a question answered with a method you can defend. This talent-pool listing is for a mid-level Data Scientist based in Seattle, United States. Day to day, the focus is a question answered with a method you can defend. A typical stretch of time is spent writing the question, choosing a simple method first, and showing where it fails. Responsibilities - Own the question so the person who will use the answer can see the what decision this analysis supports without a separate explanation. - Every week, bring the method up to date and resolve the why a simple approach came first before the next cycle. - Write the failure in plain language and mention the where the approach is wrong in the same note. - If the result stalls, say so the same day and state what you already did about the result and the sample it came from. - Keep the caveat in the shared tracker, not in a personal folder. - Treat the next step as finished only after you have checked the what data or check is still needed. Requirements - Roughly 3 to 6 years of answering a decision question with data that matches this data scientist profile, or a shorter record with the same kind of finished work. - Practical skill with Python or SQL and a written method in data scientist work, not a certificate alone. - Able to explain what you would not conclude to a colleague who was not in the room. - Careful with a complex model before a simple check; this is checked in review of data scientist work. - For the data scientist brief in Seattle, use the working language of that assignment in United States. Nice to have - Simple baselines is useful on data scientist assignments in Seattle, and it is not required. - People who have already done failure notes can start this data scientist brief with less coaching. - Decision questions is a plus for data scientist work based in Seattle. Skills Python, SQL, analysis design, visualisation, reproducibility, statistics, written caveats, data privacy awareness Working conditions This data scientist listing in Seattle is hybrid: some days at the assignment's premises in Seattle, and some days from home, on a split the employer sets. The usual week is Monday to Friday. The work can be remote. Reading sessions with stakeholders need overlap with the hiring base. Location The hiring base for this data scientist listing is Seattle, United States. English is the working language for this Seattle brief. Qualified people are considered without regard to race, color, religion, sex, national origin, age, disability, or other characteristics protected by applicable law. This is a talent-pool listing. Your profile will be reviewed and matched to employer openings that fit; submitting an application does not guarantee an interview or placement.