Job ID: 3035941696
Job date: 2017-07-27
End Date:
Company : KPMG | Rapid Interviews Country : Role : Research Scientist
Job date: 2017-07-27
End Date:
Company : KPMG | Rapid Interviews Country : Role : Research Scientist
Job Description:
The position listed below is not with Rapid Interviews but with KPMG If you re as passionate about your future as we are, join our team. KPMG is currently seeking a Healthcare&Life Sciences Data Scientist, to join our Advanced Analytics Organization. Responsibilities: Lead the development of highly innovative visualization, machine learning, optimization and statistical inference solutions for pressing Healthcare and Life Science challenges using very large scale proprietary and public data sets, computing infrastructure and insights from expert Healthcare partners Analyze and model structured data and implement algorithms to support analysis using advanced statistical and mathematical methods from statistics, machine learning, data mining, econometrics, and operations research Utilize a diverse array of technologies and tools as needed, to deliver insights, such as R, SAS, Python, Spark, Hadoop, Qlikview, and Tableau Drive client engagements focused on Big Data and advanced business analytics, in the Healthcare space; communicate results and educate others through reports and presentations Perform exploratory data analysis, generate and test working hypotheses, and uncover interesting trends and relationships Provide guidance and feedback to more junior team members through project performance evaluation Qualifications: A minimum of 5 years of professional experience as well as an M. S. or Ph. D. Degree in relevant discipline: Statistics, Applied Mathematics, Operations Research/Optimization, Computer Science, Computational/Theoretical Physics, Data Science/visualization, Machine Learning, Electrical/Computer Engineering or Health Sciences (e. g. Bioengineering /Bioinformatics) Strong mathematical background with strong knowledge in at least one of the following fields: statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing, and/or information retrieval Deep experience in extracting, cleaning, preparing and modeling data Experience with command-line scripting, data structures, and algorithms; ability to work in a Linux environment Proficient in the big data ecosystem such Hadoop, Spark, and Storm and programming languages (e. g. Python, Ruby, Java, Scala) KPMG LLP (the U. S. member firm of KPMG International) offers a comprehensive compensation and benefits package.
Additional Info:
Rapid Interviews is a private organization that works in collaboration with government agencies to promote emerging careers. Our goal is to connect you with supportive resources to supplement your skills in order to attain your dream career. Rapid Interviews has also partnered with industry leading consultants & training providers that can assist during your career transition. We look forward to helping you reach your career goals! If you any questions please visit our contact page to connect with us directly The fastest growing Big Four professional services firm in the U. S., KPMG is known for being a great place to work and build a career. We provide audit, tax and advisory services for organizations in today s most important industries. Our growth is driven by delivering real results for our clients. It s also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it s no wonder we re consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Working Mother Magazine, Diversity Inc. and others. KPMG is an equal opportunity employer. All qualified applicants are considered for employment without regard to race, color, creed, religion, age, sex/gender, national origin, ancestry, citizenship status, marital status, sexual orientation, gender identity or expression, disability, physical or mental handicap unrelated to ability, pregnancy, veteran status, unfavorable discharge from military service, genetic information, or other legally protected status. KPMG maintains a drug-free workplace. KPMG will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable local, state or federal law (including San Francisco Ordinance number 131192). No phone calls or agencies please. GL:4GF:15304 Associated topics: biochemistry, bioengineering, biological engineer, biomaterials, biomedical engineer, bioprocess, fermentation, hereditary, molecular, pharmaceutical[Click Here to Access the Original Job Post]
The position listed below is not with Rapid Interviews but with KPMG If you re as passionate about your future as we are, join our team. KPMG is currently seeking a Healthcare&Life Sciences Data Scientist, to join our Advanced Analytics Organization. Responsibilities: Lead the development of highly innovative visualization, machine learning, optimization and statistical inference solutions for pressing Healthcare and Life Science challenges using very large scale proprietary and public data sets, computing infrastructure and insights from expert Healthcare partners Analyze and model structured data and implement algorithms to support analysis using advanced statistical and mathematical methods from statistics, machine learning, data mining, econometrics, and operations research Utilize a diverse array of technologies and tools as needed, to deliver insights, such as R, SAS, Python, Spark, Hadoop, Qlikview, and Tableau Drive client engagements focused on Big Data and advanced business analytics, in the Healthcare space; communicate results and educate others through reports and presentations Perform exploratory data analysis, generate and test working hypotheses, and uncover interesting trends and relationships Provide guidance and feedback to more junior team members through project performance evaluation Qualifications: A minimum of 5 years of professional experience as well as an M. S. or Ph. D. Degree in relevant discipline: Statistics, Applied Mathematics, Operations Research/Optimization, Computer Science, Computational/Theoretical Physics, Data Science/visualization, Machine Learning, Electrical/Computer Engineering or Health Sciences (e. g. Bioengineering /Bioinformatics) Strong mathematical background with strong knowledge in at least one of the following fields: statistics, data mining, machine learning, statistics, operations research, econometrics, natural language processing, and/or information retrieval Deep experience in extracting, cleaning, preparing and modeling data Experience with command-line scripting, data structures, and algorithms; ability to work in a Linux environment Proficient in the big data ecosystem such Hadoop, Spark, and Storm and programming languages (e. g. Python, Ruby, Java, Scala) KPMG LLP (the U. S. member firm of KPMG International) offers a comprehensive compensation and benefits package.
Requeriments :
- M.Sc. or higher Degree in Bioinformatics
- M.Sc. or higher Degree in Computer Science
- M.Sc. or higher Degree in Statistics
Skills :
- Data Mining
- Lunix/Unix
- Machine Learning
- Mathematics
- Programing in Python
- Programing Skills
- Programming in Java
- Statistics
Areas :
Additional Info:
Rapid Interviews is a private organization that works in collaboration with government agencies to promote emerging careers. Our goal is to connect you with supportive resources to supplement your skills in order to attain your dream career. Rapid Interviews has also partnered with industry leading consultants & training providers that can assist during your career transition. We look forward to helping you reach your career goals! If you any questions please visit our contact page to connect with us directly The fastest growing Big Four professional services firm in the U. S., KPMG is known for being a great place to work and build a career. We provide audit, tax and advisory services for organizations in today s most important industries. Our growth is driven by delivering real results for our clients. It s also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it s no wonder we re consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Working Mother Magazine, Diversity Inc. and others. KPMG is an equal opportunity employer. All qualified applicants are considered for employment without regard to race, color, creed, religion, age, sex/gender, national origin, ancestry, citizenship status, marital status, sexual orientation, gender identity or expression, disability, physical or mental handicap unrelated to ability, pregnancy, veteran status, unfavorable discharge from military service, genetic information, or other legally protected status. KPMG maintains a drug-free workplace. KPMG will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable local, state or federal law (including San Francisco Ordinance number 131192). No phone calls or agencies please. GL:4GF:15304 Associated topics: biochemistry, bioengineering, biological engineer, biomaterials, biomedical engineer, bioprocess, fermentation, hereditary, molecular, pharmaceutical[Click Here to Access the Original Job Post]