Sr Statistician, Data Science & Advanced Analytics

Key Skills

Java Programming, Analytical and Problem solving, Python Programming, SQL, Agile methodologies, Apache Hadoop, Scala Programming, Machine learning techniques, A/B Testing, Data Mining, Apache Hive, MapReduce, Apache Impala, Data Analytics, R Programming, PySpark, SPARK Programming, SAS

Job Description

• Perform analysis of media impact using test/control analysis or statistical modeling techniques to determine Impact and Return on Investment of marketing programs. Evaluation of media channels including digital ad, digital site, TV, OTT, print, and point of care.
• Developing, implementing, managing, and validating longitudinal statistical-based custom analytics for pharmaceutical client engagements to help answer complex business questions
• Assisting the IQVIA Real World Insights, Commercial Services, and Life Sciences teams with use of appropriate data assets, methodologies, statistical techniques, and delivery options to meet client information and analyses needs
• Consumer segmentation to provide advanced media targeting based on real world and consumer data assets
• Working with consulting principals and sales team on business development effort by providing ad-hoc feasibility reports, providing estimations of effort and developing methodologies that address client needs
• Managing the development work for urgent and/or complex projects requiring programming and statistical models in Python, R, Scala, PySpark, or other software packages
• Collaborating closely with project managers to create timelines for the project and to ensure that project results and conclusions are presented accurately and without bias
• Designing and document analytical plans and develop detailed programming specifications for the execution of the analysis plan
• Coordinating with offshore developers throughout the project lifecycle to ensure accurate and timely delivery

What We’re Looking For:

• Bachelor’s degree in a relevant field including statistics, mathematics, computer science, business analytics or other quantitative field. Master’s degree or doctorate preferred.
• Knowledge and experience with statistical and data mining concepts including one or more of the following: multivariate analysis, significance testing, regression, decision trees, clustering, forecasting, sampling, scenario analysis, simulation, advanced modeling, and machine learning techniques
• Experience using statistical programming languages (SQL, Python, R and/or SAS) to manipulate data and build statistical models. Experience with distributed data/computing tools such as MapReduce, Hadoop, Hive, Impala, Spark, etc. is preferred
• Experience in operations research, market research, business analytics, or applied statistics including manipulating larger datasets, conducting statistical analysis, and deriving insights. Healthcare industry experience preferred. Job title commensurate with experience/education
• Ability to problem solve and develop innovative approaches along with a drive to learn and master new techniques and technologies
• Strong organization skills and ability to work on multiple tasks simultaneously while achieving quality standards and meeting deadlines
• Excellent written and verbal communication skills. Strong interpersonal skills and ability to work collaboratively across teams
• Experience visualizing/presenting data for internal stakeholders and clients
• Desired - Prior experience with healthcare data analytics leveraging patient-level/longitudinal healthcare claims data, electronic medical records (EMR), or related data is highly desired
• Desired - Prior experience with statistical techniques involving A/B Testing
• Desired - Prior experience with ROI analyses