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Data Analytics / Scientist

Company: People Force Consulting Inc
Location: Lansing
Posted on: May 17, 2019

Job Description:

Role Data AnalyticsScientist Location Lansing, MI Duration 12 Months Interview Face to Face Start ASAP Top Required Skills Strong knowledge of advanced statistical methods, Bayesian learning techniques, pattern recognition and outlier detection algorithms, as well as advanced topics such as decision trees, random forests, neural networks and other deep learning methods. Knowledge of one or more machine learning or statistical modeling tools such as R, SAS, MATLAB, or Python (scikit-learn, Theano). Ability to mine datasets and develop models built on large volumes of information collected by our client. Job Requirements (Knowledge, Skills Abilities) Strong knowledge of advanced statistical methods, Bayesian learning techniques, pattern recognition and outlier detection algorithms, as well as advanced topics such as decision trees, random forests, neural networks and other deep learning methods. Strong communication skills to convey complex and technical information both orally and in writing. Strong interpersonal skills to interact effectively with senior leadership, co-workers, and the broader public and to work collaboratively with cross-functional teams to achieve results against competing priorities. Ability to influence others through effective presentation of concepts and action plans. Understanding of business fundamentals. Knowledge of one or more machine learning or statistical modeling tools such as R, SAS, MATLAB, or Python (scikit-learn, Theano). Familiarity with one or more script-based data visualization tools, such as ggplot, matplotlib, Shiny, or D3. Proficiency in computer processes and methods, and familiarity with languages such as CC++, Java, C, SQL, Perl, Python familiarity with UNIX, shell scripting, distributedparallel computing, a scripting language such as Python or Perl or similar familiarity with regular expressions familiarity with state-of-the-art database techniques. Ability to mine datasets and develop models built on large volumes of information collected by internal team. Ability to assemble large, complex data sets that meet functional non-functional business requirements. Strong project management skills ability to successfully manage multiple projects with aggressive deadlines. Education Master s degree in statistics, math, computational or mathematical finance, computer science, engineering or related technical field required. Experience 3 years of quantitative experience in an advanced analytics, financial engineering, data science, risk analytics or related role required. Experience in bringing predictive models and other analytics tools to production required. Strong background in machine learning, hypothesis testing, regression analysis, statistics, or probability, as well as experience creating predictive analytics on high dimensional, noisy data that may also contain missing values preferred. Experience working with large volumes of financial data composed of different instruments, coming from different sources, for back-testing models, algorithms, and strategies preferred. Experience in natural language processing, especially in text analytics and news aggregation methodologies preferred. Hands-on technical experience with conceptualizing large scale data solutions, such as Hadoop, Teradata, Sybase IQ, Microsoft Analytics Platform System (Client), IBM Netezza, etc. preferred. Report authoringdevelopment experience using various tools like Tableau, Qlik, or Lumira preferred.

Keywords: People Force Consulting Inc, Lansing , Data Analytics / Scientist, Other , Lansing, Michigan

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