Data Analytics Scientist Job
Details: Data Analytics Scientist needed for a contract opportunity with Yoh’s client located in St. Louis, MO. Long term opportunity. Top Skills You Should Possess: – Mathematical optimization concepts and simulation techniques – Monte-Carlo simulations, Stochastic Modeling, Estimation and Prediction – Statistical programming packages like R, MATLAB and Python – Commercial optimization software (example CPLEX) is desirable – Apache Hadoop / Spark is highly desirable What You’ll Be Doing: – Work on the global analytics team, a cutting edge group providing recommendations and solutions to accelerate and optimize the client’s product development. – Foster new game-changing ideas to produce sophisticated, intelligent optimization solutions and predictive models. – Work with interdisciplinary scientists (Mathematicians, Optimization Experts, Engineers, Operations Managers, and Breeders) to foster your career growth and development while delivering next-generation analytical solutions. – Use advanced mathematical models, machine learning techniques, optimization and strong business acumen to deliver insight, – Responsible for transforming large amounts of diverse data into descriptive knowledge using advanced quantitative analysis. – Formulate and apply mathematical modeling and other optimization methods to develop and interpret information that assists with decision making. – Work collaboratively with interdisciplinary scientists to address analytical scientific breakthroughs in the field of machine learning. – Utilize big data technologies to develop & deploy advanced analytics solutions for high throughput research strategies. – Present compelling, validated stories to all levels of organization, including peers, senior management and internal customers to drive both strategic and operational changes in business. What You Bring to the Table: – D. in Statistics, Computer Science, Electrical Engineering, Mathematics, – Bioinformatics or closely-related field. – Theoretical and practical knowledge of mathematical optimization concepts and simulation techniques is a must – Creative, proactive, bold and out-of-box thinking – Expertise in many of the following: Monte-Carlo simulations, Stochastic Modeling, Estimation and Prediction, Recommender Systems, Boosting and Bagging techniques, Bayesian analysis – Experience and passion for solving analytical problems involving big data sets using quantitative approaches to generate insights from data – 3+ years experience with statistical programming packages like R, MATLAB and Python and experience with commercial optimization software (example CPLEX) is desirable – Strong business aptitude, the ability to rapidly learn new problem domains, and become conversant in the domain with subject matter experts – Strong publication record in leading scientific journals – Strong organizational, interpersonal, and proven problem solving abilities – Ability to work in a matrix environment, leading & influencing people at varying levels of responsibility. – Proven ability to communicate complex qualitative analysis in clear, precise and actionable manner. – Desired skills: – Experience with object oriented programming (Java/C++) is highly desired – Background in big data technologies including Apache Hadoop / Spark is highly desirable – Expertise in queuing theory, and game theory is desirable – Drive for translating business problems into research initiatives that deliver business value – Creativity in defining challenging exploratory projects and developing solutions Call me now to discuss… Recruiter: Scott Bennekemper Phone Number: 314-275-1236 Yoh makes finding and applying for jobs simple. Partner with Yoh to find the right opportunities across multiple industries in the US and UK. Find out more here ! Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer, M/F/D/V. Click here to contact us if you are an individual with a disability and require accommodation in the application process. J2W: SCIENTIFIC ; J2W: ENG ; J2W: INFOTECH TAX TERM: CON_W2 J2WBRSTL Ref: 1062757 SFSF: RENApply for this job.