
Chief Data Architect
2 weeks ago
Key Responsibilities
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- We develop and apply advanced data analytics methods to extract value from large datasets.">
- We perform extensive experimentation, build predictive models and construct new analytics techniques to answer business questions.">
- We design hypotheses and experiments to identify hidden relationships in business data and construct new analytics methods.">
- We create Markov decision process models and healthcare economic models for solving complex business problems.">
- We visualize information and produce reports on the results of data analysis.">
- We communicate data-based recommendations to product teams and influence their decisions.">
- We spread best practices in analytics and product development.">
- We implement new tools to improve data analysis efficiency.
Requirements
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- Bachelor's degree in a relevant field such as computer science, data science or IT.">
- 3+ years of professional experience working with large datasets for drawing business insights.">
- 1+ years of experience in a data science role.">
- Professional knowledge of machine learning techniques including predictive modeling, leveraging structured and unstructured data sources, relational databases, and SQL.">
- Professional knowledge of statistics and modeling techniques.">
- Fluent in Python or R programming languages.">
- Demonstrated ability to learn new technologies quickly.
Preferred Qualifications
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- Master's degree in a relevant field.">
- Experience in cloud environments.">
- Professional knowledge of distributed computing and big data technologies such as Spark.">
- Proficient in statistical methodologies and tools (R, SAS, SPSS), mathematical optimization, control theory, and time-series analysis.
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