Dark Horse Talent
Data Scientist AI/Protein Design
Dark Horse Talent, San Francisco, California, United States, 94199
Bachelor's degree or equivalent experience in quantative 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 quantative 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 improvementsThe ideal candidate's favorite words are learning, data, scale, and agility. 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 answers.
Read all the information about this opportunity carefully, then use the application button below to send your CV and application.
Responsibilities...• Analyze raw data: assessing quality, cleansing, structuring for downstream processing• Design accurate and scalable prediction algorithms• Collaborate with engineering team to bring analytical prototypes to production• Generate actionable insights for business improvements
Qualifications• Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)• At least 1 - 2 years' of experience in quantitative analytics or data modeling• Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms• Fluency in a programming language (Python, C,C++, Java, SQL)• Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau
Company informationDark Horse Talent is a full-service biotech recruiting firm focused exclusively on biotech — a competitive market that demands deep expertise and an extensive network of contacts at all levels of seniority.We’re based in the Boston/Cambridge area with presence on the west coast.We own the process from talent need identification through a new hire’s first day. Match for direct-hire, contract, contract-to-hire and consulting projects for Bioinformatics, Computational Biologists, Data Scientist, Machine Learning, Software Engineering, LIMS, Artificial Intelligence, NLP, LIMS, Automation, and Genomics.We apply a diagnostic approach to gathering information about hiring roadblocks or a candidate’s job search and assess where we can deliver value. We are our clients’ eyes and ears in the market; they rely on us to advise on the candidate landscape, share best practices for talent acquisition strategies, provide competitive analysis and to identify candidates who can solve a poignant problem that can secure their next round of funding, or gain FDA approval.Advertising, Marketing, Entertainment, Media, Arts and CulturePrivately HeldCompany Specialties:bioinformatics, computational biology, Data Science, Machine Learning, LIMS, Software Engineering, Genomics, Artificial Intelligence, NGS, Deep Learning, NLP, Life Sciences, Biotechnology, Personalized Medicine, Diversity, Equity and Inclusion Recruiting, and DEIB services
#J-18808-Ljbffr
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 quantative 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 improvementsThe ideal candidate's favorite words are learning, data, scale, and agility. 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 answers.
Read all the information about this opportunity carefully, then use the application button below to send your CV and application.
Responsibilities...• Analyze raw data: assessing quality, cleansing, structuring for downstream processing• Design accurate and scalable prediction algorithms• Collaborate with engineering team to bring analytical prototypes to production• Generate actionable insights for business improvements
Qualifications• Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)• At least 1 - 2 years' of experience in quantitative analytics or data modeling• Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms• Fluency in a programming language (Python, C,C++, Java, SQL)• Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau
Company informationDark Horse Talent is a full-service biotech recruiting firm focused exclusively on biotech — a competitive market that demands deep expertise and an extensive network of contacts at all levels of seniority.We’re based in the Boston/Cambridge area with presence on the west coast.We own the process from talent need identification through a new hire’s first day. Match for direct-hire, contract, contract-to-hire and consulting projects for Bioinformatics, Computational Biologists, Data Scientist, Machine Learning, Software Engineering, LIMS, Artificial Intelligence, NLP, LIMS, Automation, and Genomics.We apply a diagnostic approach to gathering information about hiring roadblocks or a candidate’s job search and assess where we can deliver value. We are our clients’ eyes and ears in the market; they rely on us to advise on the candidate landscape, share best practices for talent acquisition strategies, provide competitive analysis and to identify candidates who can solve a poignant problem that can secure their next round of funding, or gain FDA approval.Advertising, Marketing, Entertainment, Media, Arts and CulturePrivately HeldCompany Specialties:bioinformatics, computational biology, Data Science, Machine Learning, LIMS, Software Engineering, Genomics, Artificial Intelligence, NGS, Deep Learning, NLP, Life Sciences, Biotechnology, Personalized Medicine, Diversity, Equity and Inclusion Recruiting, and DEIB services
#J-18808-Ljbffr