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Build trusted relationships with customer stakeholders, particularly in Ad Ops, engineering, data science, and product roles. Hands on with our software, configuring functionality and manipulating data to meet client needs.
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Ability to simplify the technically complex and drive well-educated decisions across product, engineering, design, and data science representatives. MBA or Masters Degree in a related technical field (Computer Science, Software Engineering) or equivalent experience.
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Experience applying data preparation methods, feature creation engineering, exploratory data analysis, model creation, and data visualization applied to advanced analytics, machine learning and artificial intelligence.
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Exceptional education - Advanced degree in a quantitative field such as data science, statistics, mathematics, physics, or engineering. We are currently working with an established global hedge fund who are looking to add an interest rates quant to their Relative Value team which is one of the biggest at the firm.
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VP, Data Science RWE | Top 5 Pharma. PhD in a relevant field (e.g., biology, math, pharmacology, biomedical engineering, chemical engineering, computation biology, computer science, etc.
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Bachelor's degree in statistics, engineering, economics, computer science, or another quantitative field. Proficiency with data analysis and BI tools (i.e. Tableau, Power BI, Looker, Python, R, etc.
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Analytic platforms, artificial intelligence (AI), data visualization and data reporting tools and scripting tools to conduct data science projects, as well as instruct others.
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Min Field Of Expertise: Computer Science/Information Systems with healthcare data analysis. Knowledge of system process engineering. Understands data structure modeling and applies that knowledge to generate solution for our clients, developing creative solutions to complex problems.
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Spearheads innovative (Proof of Concept) measurement solutions, tracks client adoption, and works with internal product and engineering teams on automation and productization. Utilizes big data querying techniques, while structuring and pulling data from various sources.
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