Data Scientist

November 11

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Description

• Collaborate with cross-functional teams to identify and define business problems that can be solved through data analysis. • Collect, clean, and preprocess raw data from various sources to prepare it for modeling and analysis. • Employ a variety of analytical methods such as statistical analysis, predictive modeling, clustering, classification, and anomaly detection. • Develop and validate machine learning models to generate predictions, forecasts, and recommendations. • Communicate findings, insights, and recommended actions to stakeholders through compelling data visualizations and narratives. • Stay up-to-date with the latest trends and advancements in data science, machine learning, and analytical tools. • Continuously improve data pipelines, analytical processes, and modeling techniques to enhance efficiency and accuracy. • Adapting to the role as needed.

Requirements

• Proficiency in programming languages such as Python, R, or SQL for data manipulation, analysis, and modeling. • Strong background in statistical methods, machine learning algorithms, and data mining techniques. • Expertise in data visualization tools (e.g., Tableau, Power BI, Matplotlib, Plotly.) • Ability to communicate complex technical concepts to both technical and non-technical audiences. • Experience working in an agile, collaborative environment and managing multiple projects simultaneously. • Strong problem-solving, critical thinking, and decision-making skills. • Someone looking for a fast-paced startup culture to grow in. • Fluent in written + verbal English.

Benefits

• 11 days PTO • Christmas Day and New Years Day paid off