Data Scientist

Data ScientistIntegrated Resources, Inc., is led by a seasoned team with combined decades in the industry. We deliver strategic workforce solutions that help you manage your talent and business more efficiently and effectively. Since launching in 1996, IRI has attracted, assembled and retained key employees who are experts in their fields. This has helped us expand into new sectors and steadily grow.We've stayed true to our focus of finding qualified and experienced professionals in our specialty areas. Our partner-employers know that they can rely on us to find the right match between their needs and the abilities of our top-tier candidates. By continually exceeding their expectations, we have built successful ongoing partnerships that help us stay true to our commitments of performance and integrity.Our team works hard to deliver a tailored approach for each and every client, critical in matching the right employers with the right candidates. We forge partnerships that are meant for the long term and align skills and cultures. At IRI, we know that our success is directly tied to our clients' success.Job DescriptionPosition: Data ScientistDuration: Full-time with benefits+ BonusLocation: Penn Plaza, Newark, NJDirect client: Immediate interviewThe Data Scientist will work closely with the data science lead, other analysts in the department and business owners from across the Enterprise to create, decipher, and utilize sophisticated statistical/econometric data analytics to drive effective decision making on this is a high visibility role with regular exposure to the senior officer level.Job responsibilitiesHelp build a foundation for state-of-the-art technical and scientific capabilities to support a number of ongoing and planned data analytics projects. Stay on top of industry's achievements and capabilities, in order to partner with the business and provide forward-thinking recommendations.Build an in-depth understanding of the problem domain and available data assets, especially pertaining to value based programs and other strategic initiatives.Research, design, implement, and evaluate advanced statistical approaches and models for application with most complex business issues. Build statistical and econometric models for various problems including: projections, clustering, classification, sampling, simulations, pattern analysis, etc.Perform ad-hoc exploratory statistics and data mining tasks on very large datasets related to strategies, following consultative analytics workflow. Code your solutions and remain highly collaborative.Take initiative in evaluating and adapting new approaches from data science and health outcomes research to business situationInvestigate data visualization and summarization techniques for conveying key findings related to the applied analyticsCommunicate findings and obstacles to stakeholders to help drive the delivery to market. Come up with superb visualizations and illustrations of data that can easily be comprehended and simplified for various audiences. Write production quality code while implementing your own ideas. Present findings to internal stakeholders along with external industry conferences and academic meetings as needed.Work alongside machine learning experts, technologists, product managers and other informatics analysts from across the organization to solve complex business problems. Responsible for identifying the data we should be collecting, devising methods of instrumenting our system to extract this information and working with technologists to develop the process to transform raw data into business insights.Mentoring of Informatics Analyst level IIIs.Education/Experience:Advanced degree (Master's level or higher) in mathematics, statistics, epidemiology, computer science, Public Health or other highly quantitative discipline is required10+ years in Health Analytics preferredPrefer candidates with proven track record in published research as principal investigator in health industry journalsKnowledge:Demonstrated knowledge of health informatics / health outcomes research and exceptional business analysis/informatics skills are requiredRequires academic journal process awareness.Thorough understanding of probability and statistics, econometric time series analysis, and similarExpertise in theory and practice of Machine Learning and Natural Language processing (i.e. Experience in the use of advanced statistical analysis and machine learning methods {e.g. linear regression, statistical significance, correlation, etc.}).Requires strong programming skills.Experience with tools such as R Programming, visualizations, SAS, Open Source etc.Experience and in-depth knowledge of the SAS Enterprise Miner, Python programming language or similarKnowledge of big data platforms such as Hadoop, Aster, etc.Green Field analysis preferred