Data Scientist

September 26

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Description

• Develop and implement advanced predictive models and decision optimization algorithms. • Collaborate closely with Data Scientists and Software Engineers. • Implement predictive models using proprietary data science and machine learning processes. • Improve model performance and interpretability for customers. • Collaborate with Customer Success team to deliver model results. • Stay current with advancements in data science and machine learning. • Engage in R&D to scale the impact of data science work.

Requirements

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field. • 5+ years of experience (post graduation) in data analysis, statistical modeling, and machine learning. • Proficiency and substantial experience in Python, especially Pandas, Scikit-learn, PySpark, and Numpy. • Proficiency in Git workflow • Solid understanding of machine learning and statistical models and techniques, including validation and evaluation of model performance. • Experience with issues related to modeling (e.g., selection biases, causal inference) • Experience working with messy data, iterating with clients on a shared dataset • Experience with geospatial data models and visualization tools such as ESRI. • Strong problem-solving skills and ability to work independently or collaboratively in a team environment. • Excellent data visualization and communication skills with the ability to explain complex technical concepts to non-technical customers. • Previous experience working in either a predictive modeling-/analytics-focused company or a software-as-a-service start-up company.

Benefits

• Stock options • Health benefits • Simple IRA benefit • Co-working space/work place stipend