Job Description

Minimum Qualifications: (Specify if degree required type, number of years of prior experience, certifications, etc.) Post Graduate or MBA (preferred) OR Graduates in Engineering / Mathematics / Operations Research / Science / Statistics With atleast 4+ years experience in analytics using SQL, SAS, R or Python, basic statistical concepts and analyzing data interpreting results to the business Or 3+ years experience preferably from Top tier Analytics/consulting/Analytics startup companies (Mu Sigma, Tiger Analytics, Tredence, Ganit, Shell Data, Verizon data, eClerx, Optum ABCO, Unmetric, Accenture,EClerx, Latent View ) or Candidates with 2+ working on healthcare data problems would be preferred (Eg: those from United/Optum ABCO, Truven/IBM, Astra Zeneca, Zoom Rx, Sagitec solutions (Health) ) Proficient in data wrangling using SQL and libraries of R,Python such as Dplyr/Pandas, Pyspark etc Proficient in basic statistical concepts and analyzing data interpreting results to the business Applied Machine learning experience or experience in text mining, imaging mining, screen scraping and other big data techniques will be a plus Responsibilities and Essential Functions: Analytics Practice within SCIO: Ability to design data driven solutions and Frameworks (Descriptive and Predictive) from scratch consult in a leadership capacity on potential Solutions/Storyboards and POCs Drives business metrics that add to the top-line and / or profitability for SCIO s revenue optimization business Perform quantitative and qualitative analysis like (raw) data analysis, statistical modeling, data deep-dives etc. to acquire insights from data Develops Descriptive (reporting) through to Prescriptive Analytics Translates insights into an analysis reports and communicate insights back to the stakeholders Applies next-gen technology to all parts of the analytics lifecycle from data extraction, exploratory data analysis, predictive modeling, Data Mining and information extraction from unstructured data to visualization story boarding Special Skills and Qualifications: This role would suit candidates with the following attributes: Flexibility to work with different countries (time-zones), groups, and business environment Should be versatile and ready to learn and apply new technologies, techniques in data science Ability to break down a vague business problem into structured data analysis approaches Ability to work with incomplete information and take judgment-driven decisions based on experience Should have good organizational and people skills Should have good communication - able to collaborate with onshore stakeholders Strong aptitude to learn/understand health care data / databases

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