Dark Horse Talent
Data Scientist AI/Protein Design
Dark Horse Talent, San Francisco, California, United States, 94199
Minimum Requirements
Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)At least 1 - 2 years' of experience in quantitative analytics or data modelingDeep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithmsFluency in a programming language (Python, C, C++, Java, SQL)Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)Responsibilities
You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answersAnalyze raw data: assessing quality, cleansing, structuring for downstream processingDesign accurate and scalable prediction algorithmsCollaborate with engineering team to bring analytical prototypes to productionGenerate actionable insights for business improvementsQualifications
Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)At least 1 - 2 years' of experience in quantitative analytics or data modelingDeep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithmsFluency in a programming language (Python, C, C++, Java, SQL)Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)
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Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)At least 1 - 2 years' of experience in quantitative analytics or data modelingDeep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithmsFluency in a programming language (Python, C, C++, Java, SQL)Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)Responsibilities
You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answersAnalyze raw data: assessing quality, cleansing, structuring for downstream processingDesign accurate and scalable prediction algorithmsCollaborate with engineering team to bring analytical prototypes to productionGenerate actionable insights for business improvementsQualifications
Bachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)At least 1 - 2 years' of experience in quantitative analytics or data modelingDeep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithmsFluency in a programming language (Python, C, C++, Java, SQL)Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)
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