Data Scientist (REMOTE :: W2 ONLY)

• 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 dataand 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