Data Scientist

• Great storyteller 
• Data mining or extracting usable data from valuable data sources 
• Using machine learning tools to select features, create and optimize classifiers 
• Carrying out preprocessing of structured and unstructured data 
• Enhancing data collection procedures to include all relevant information for developing analytic systems 
• Processing, cleansing, and validating the integrity of data to be used for analysis 
• Analyzing large amounts of information to find patterns and solutions 
• Developing prediction systems and machine learning algorithms 
• Presenting results in a clear manner 
• Propose solutions and strategies to tackle business challenges 
• Collaborate with Business and IT teams 
• Builds actionable data visualizations that identify areas of opportunity and help drive excellence at scale 
• Excellent interpersonal skills and ability to work with several stakeholders across multiple organizations 
• Be curious, creative, opinionated thinker with a talent for detecting patterns and elevating through strategy 
• Ability to facilitate conversations with business owners and stakeholders to understand the problem, rapidly iterate proposed solutions, and clearly present new findings and solutions 
• Embrace and drive a culture of data-driven, continuous improvement and help identify, analyze, and implement improvement opportunities 
• Maintains a high degree of confidentiality at all times due to access to sensitive information 
• Maintains regular, predictable, consistent attendance and is flexible to meet the needs of the department 
• Follows all Medicare, Medicaid, HIPAA, and private insurance regulations and requirements 
• Results-oriented individual with a demonstrated commitment to do what it takes to get the job done 
• Abides by all regulations, policies, procedures and standards 

DESIRED OUTCOMES: 

• Successfully mining, interpreting, and cleaning data to uncover hidden opportunities for realizing the data’s full potential 
• Developing and optimizing machine learning classifiers and prediction systems 
• Enhancing data collection procedures and ensuring the integrity of data used for analysis 
• Collaborating with business and IT teams to propose solutions and strategies to tackle business challenges 
• Facilitating conversations with business owners and stakeholders to understand problems and present new findings and solutions 
• Demonstrating a commitment to getting the job done and achieving results 

POSITION REQUIREMENTS & COMPETENCIES: 

• Bachelor’s Degree in Information Systems or related field and 5+ years of data and analytics experience or equivalent combination of education and experience 
• Programming skills in statistical languages such as R, Python, and database query languages such as SQL, Hive, Pig; familiarity with Scala, Java, or C++ is a plus 
• Strong applied statistical skills including statistical tests, distributions, regression, and maximum likelihood estimators 
• Knowledge of machine learning methods such as k-Nearest Neighbors, Naive Bayes, SVM, and Decision Forests 
• Strong math skills including multivariable calculus and linear algebra 
• Data wrangling proficiency 
• Experience with data visualization tools such as matplotlib, ggplot, d3.js, Power BI, or Tableau 
• Excellent communication skills 
• Strong software engineering background 
• Hands-on experience with data science tools 
• Strong problem-solving ability 
• Analytical mindset and strong business sense