Sr Consultant, Data Science

Opportunity to work as a Data Scientist in Information Partner Services with extremely complex data and methodologies in a fast-paced, ever-changing environment answering critical business questions for retail pharmacy and wholesaler clients. Combining modern analytic tools, methodologies, and challenging requests, this crucial role will help mold the way our team approaches analysis and builds data-driven analytics products. In addition, provide mentorship to the team and serve as a key liaison for our team with the client account team., * (Tech) Partner with pharmacy retailers and/or wholesalers and their IQVIA account teams to identify analytical and technical solutions, including appropriate data assets, statistical / machine learning models, algorithms and visualizations, that guide direct business transformation (analytical approaches that may be used include optimization, simulation, regression, mixed models, classification models, pattern recognition, machine learning, and deep learning).

• (Method) Design and implement stable, scalable and cost-effective data-centric solutions to complex business problems where analysis requires an in-depth knowledge of pharmacy retailer organizational objectives and data science domain expertise.
• (Communicate) Clear and concise articulation, presentation, and documentation of analytic and technical opportunities, constraints, recommendations, and action items to both internal and external senior management audiences.
• (Learn) Research and analyze market landscapes and emerging platforms, patterns, practices, and methodologies to drive differentiated service offerings for clients and foster greater professional development opportunities for internal talent.
• (Data) Build expertise in cross-platform applications of IQVIA assets with a specialization in encrypted patient-level longitudinal healthcare claims data.
• (Ownership) Proactively manage own project timelines, risks and challenges and work out mitigation alternatives with the team under minimum supervision.

• Knowledge of pharmaceutical market and experience with encrypted patient-level/longitudinal healthcare claims.
• Advanced use of statistical programming languages (SQL, R, Python, SAS) to manipulate data and build statistical and machine learning models.
• Demonstrable consulting, analytical, interpretative, and problem-solving skills and proven ability to develop innovative approaches through creativity and critical thinking.
• Knowledge and experience with statistical and data mining concepts including multivariate analysis, significance testing, regression, decision trees, clustering, forecasting, sampling, propensity matching, scenario analysis, simulation, advanced modeling and machine learning techniques.
• Ability to manage client relationships, establish realistic expectations, evaluate and propose strategies that meet client needs, negotiate analysis needs and associated value.
• Excellent understanding of handling Big Data along with a drive to learn and master new techniques and technologies.
• Working knowledge of large-scale distributed data/computing tools such as Hadoop, Hive, Impala, Spark, etc.
• Strong organization and project planning skills, ability to perform multiple tasks simultaneously with minimal supervision while achieving quality standards and meeting deadlines.
• Knowledge of data reporting/manipulation and business intelligence tools such as PowerBI, Spotfire, and/or Tableau.
• Excellent written and verbal communication skills, strong interpersonal skills, detail-oriented, and ability to work collaboratively across teams.
• Ability to work creatively and independently to carry out assignments of a complex nature.
• Willingness to learn new methodology, new technology, and new tools that will enhance offerings for retail pharmacy and wholesaler clients., * Bachelors-level degree in Statistics, Data Science, IT, Computer Science, Mathematics, Physics, or another related field with at least ten years relevant pharmaceutical/health insurance/retail experience
• Masters-level degree in Statistics, Data Science, IT, Computer Science, Mathematics, Physics, or another related field with at least six years relevant pharmaceutical/health insurance/retail experience
• Strong working knowledge of advanced SQL and other statistical programming languages, such as R, Python, and SAS
• In-depth knowledge of complex statistical methods
• Familiarity with retail pharmacy and/or health insurance operations
• Previous experience working collaboratively with internal and external teams
• Excellent interpersonal and organization skills

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism. IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create connections that accelerate the development and commercialization of innovative medical treatments. Everything we do is part of a journey to improve patient outcomes and population health worldwide. To get there, we seek out diverse talent with curious minds and a relentless commitment to innovation and impact. No matter your role, everyone at IQVIA contributes to our shared goal of helping customers improve the lives of patients everywhere. Thank you for your interest in growing your career with us.