
Research Data Scientist 1
Posted May 7

Posted May 7
• Perform comprehensive data analysis and develop sophisticated statistical models to derive insights from extensive viewing and demographic datasets.
• Create, train, and implement cutting-edge machine learning models to address various measurement challenges.
• Collaborate with our Engineering teams to design and establish efficient data pipelines for collecting, processing, and transforming data from multiple sources.
• Keep abreast of the latest advancements in data science techniques, tools, and technologies, while exploring innovative solutions to tackle complex issues.
• A degree in mathematics, economics, statistics, computer science, physics, social sciences, or another quantitative field. A master's degree is preferred but not mandatory.
• 1-3 years of relevant professional experience in data science and/or modeling.
• Technical proficiency in machine learning, statistics, data science, and related disciplines.
• Advanced capabilities in various quantitative software tools, especially Python, R, and/or SQL; openness to learning new tools as necessary.
• Proficient in data wrangling and conducting comprehensive data analyses.
• Experience with high-dimensional datasets.
• Practical, team-oriented; fosters rapport and mutual respect.
• Exceptional communication, writing, and critical thinking abilities; meticulous attention to detail.
• Competitive salary
• Equity in the company
• Paid time off
• Hybrid & Flexible Workplace Policy
AbbVie
InPost Group
Syneos Health
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