job summary: Randstad Technologies has partnered with a top healthcare client who delivers unparalleled healthcare solutions for their customers. Our client's integrated healthcare system allows their employees to play an integral part in their mission to serve their customers and community. If you are interested in learning more please apply to the following role; location: Aurora, Colorado job type: Contract salary: $61.13 - 68.78 per hour work hours: 8am to 4pm education: Bachelors responsibilities: Qualifications for Data Scientist strong problem solving skills with an emphasis on product development.Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.Experience working with and creating data architectures.Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages drawbacks.Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.Excellent written and verbal communication skills for coordinating across teams.A drive to learn and master new technologies and techniques.Experience manipulating data sets and building statistical modelsMasters or PHD in Statistics, Mathematics, Computer Science or another quantitative fieldfamiliar with the following software tools: Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc.Knowledge and experience in statistical and data mining techniques: GLM Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.Experience querying databases and using statistical computer languages: R, Python, SLQ, etc. Experience using web services: Redshift, S3, Spark, , etc.Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc. Top Daily Responsibilities: Support Data-Science and other analytics as needed.Develop SQL queries and data setsDevelop business and client facing reports Skills a Top Candidate Should Have: Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.Knowledge and experience with large data sets, event streams and distributed computing (Hive,Impala,Hadoop etc.) Ability to gather requirements and develop reports in tool selected by business and KPIT. Desired Skills: strong problem solving skills with an emphasis on product development.Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.Experience working with and creating data architectures.Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.Excellent written and verbal communication skills for coordinating across teams. A drive to learn and master new technologies and techniques.We're looking for someone with experience manipulating data sets and building statistical models, has a Masters or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with software. Soft Skills: Excellent Communication Skills.Ability to work with business to gather report requirementsTeam player. qualifications: Experience level: ExperiencedMinimum 3 years of experienceEducation: Bachelors (required) skills: Data Analysis Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status. For Colorado Residents Only: The hourly range for Colorado residents is $15.00 to $25.00/hour. Pay is based on several factors including but not limited to education, work experience, certifications, etc. In addition to your salary, Randstad offers a comprehensive benefits package, incentive and recognition program, and 401K contribution (all benefits are based on eligibility). For certain assignments, Covid-19 vaccination and/or testing may be required by Randstad's client or applicable federal mandate, subject to approved medical or religious accommodations. Carefully review the job posting for details on vaccine/testing requirements or ask your Randstad representative for more information.