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Key job responsibilities
• Clearly define business questions through an extensive requirement definition process with business stakeholders
• Translate the business questions into solvable data science problems and select the most appropriate statistical and/or machine learning methodologies to address the problems
• Autonomously build the data science models as well as access, gather, and explore source data leveraging SQL skills
• Implement statistical methods to solve specific business problems utilizing code (Python, R, etc.).
• Own the validation processes to generate the most accurate and usable output data
• Develop key insights from the analysis and write both business-facing as well as science summary documents for review
• Lead engagements with business stakeholders throughout the data science projects and ensure timely deliverables
A day in the life
- 2+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience
- Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent)
- Experience with SQL
- Are enrolled in or have completed a Master's degree or above in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
- Experience in manipulating/transforming data, model selection, model training, cross-validation and deployment at scale
- Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R
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