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 analyticsystems 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 Excellenceat scale. Excellent interpersonal skills and ability to work with several stakeholders across multipleorganizations Be curious, creative, opinionated thinker with a talent for detecting patterns and elevating throughstrategy Ability to facilitate conversations with Business Owners and Stakeholders to understand theproblem, rapidly iterate proposed solutions, and clearly present new findings/ 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 thedepartment 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 jobdone Abides by all regulations, policies, procedures and standardsDESIRED OUTCOMES:Job Description Successfully mining, interpreting, and cleaning data to uncover hidden opportunities forrealizing 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 tacklebusiness challenges. Facilitating conversations with Business Owners and Stakeholders to understand problemsand present new findings/solutions Demonstrating a commitment to getting the job done and achieving results.POSITION REQUIREMENTS & COMPETENCIES: Programming Skills – knowledge of statistical programming languages like R, Python, anddatabase query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C++ is anadded advantage. Statistics – Good applied statistical skills, including knowledge of statistical tests, distributions,regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies. Machine Learning – good knowledge of machine learning methods like k-Nearest Neighbors,Naive Bayes, SVM, Decision Forests. Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the fundamentalsof Multivariable Calculus and Linear Algebra is important as they form the basis of a lot ofpredictive performance or algorithm optimization techniques. Data Wrangling – proficiency in handling imperfections in data is an important aspect of a datascientist job description. Experience with Data Visualization Tools like matplotlib, ggplot, d3.js., Power BI, or Tableau thathelp to visually encode data Excellent Communication Skills – it is incredibly important to describe findings to a technical andnon-technical audience. Strong Software Engineering Background Hands-on experience with data science tools Problem-solving aptitude Analytical mind and great business sense