Job Description

SENIOR DATA ANALYST - REMOTE POSITION

MC-SQUARED.AI BY MODULUS CONSULTING LLC is a boutique strategy consulting and decision sciences firm with a focus on health care. We excel at learning our client's key business questions and answering them by connecting the dots with data. We add a spark of genius to all their decision-making. We’re looking for SENIOR DATA SCIENTISTS with a passion for seeking deeper insights and meaning hidden in disparate data sets to unlock sustainable competitive advantages and deliver unprecedented patient impact and business outcomes. The Senior Data Scientist role is a high-profile role, with a direct line of sight into all clients working directly with partners and client executives. The Data Scientist will be responsible for supporting Exploratory Data Analysis, Machine Learning, Probabilistic modeling, and Predictive Analytics solutions within our Big Pharma and Life Sciences practices.

ROLES & RESPONSIBILITIES -

• Work independently with Analytics leaders and business partners to complete impact studies
• Build sound statistical and probabilistic models to link disparate data sources with deterministic as well as advanced probabilistic methods
• Working towards a common goal, contribute to the team to deliver new solutions, enhancements, or AI-based tools that rapidly deliver impact to business leaders.
• Use Patient attributes, Patient types, HCP behaviors & attitudes to create machine learning, predictive algorithms & recommendation engines
• Use activity data, spending data, and market data to create regression models for investment (NPV) maximization scenarios.
• Build probabilistic models for understanding & improving customer journeys and optimizing customer targeting
• Create predictive models for forecasting patient evolution, market demand, pricing component using Real-World Data
• Use structured and unstructured data from publications, social media listening, industry events

QUALIFICATIONS -

• 4+ years relevant experience with a proven track record of leveraging machine learning or AI to drive significant business impact
• MS degree or equivalent in computer science, statistics, mathematics, physics, economics, finance, engineering, machine learning or related field preferred (Ph.D. would be a plus)
• Must have a Degree or equivalent training in statistical principles and mathematics
• Must have expert knowledge and current working experience using (Python, PySpark, SQL, Pandas, SparkML, sklearn)
• Experience or at least Familiarity with pharmaceutical prescription, sales activity, and promotional data (IMS / IQVIA data sets, Veeva, Real-world data, Real-world evidence, DRG, etc.)
• Experience using advanced data analysis & visualization platforms such as Palantir Foundry, IBM Watson, Looker, or equivalent is a plus.
• Passion for learning and innovating with new methodologies at the intersection of applied math/probability/statistics and computer science.
• Proficient in translating unstructured business problems into an abstract mathematical framework
• Ability to initiate and drive projects to completion with minimal guidance
• The ability to communicate the results of analyses in a clear and effective manner is usually summarized in Powerpoint as well as using interactive data visualization tools
• Exceptional interpersonal and communication skills, including the ability to describe the logic and implications of a complex model to all types of partners (product managers, engineers, designers, senior executives)
• Experience with large data sets and distributed computing using big data stores such as Apache Spark (SparkSQL, PySpark).
• Expertise in the development of a sound Machine Learning foundation, including expertise in combining disparate datasets and development of customized algorithms
• Experience in AI and pattern recognition techniques in Natural Language Processing of scientific documents with Health care industry taxonomy would be a plus

Company Description

The world of bio-pharmaceutical commercialization is a complex multi-stakeholder universe, and we get it

• Commercial Model forecasting
• Market Value Drivers
• Qualitative Segmentation
• Quantitative Segmentation
• In Field Teams
• Multi-Channel Marketing
• Sub national Business Structures
• Social Media Monitoring
• KOL/TL Universe & Recommendation
• Patient Journeys and Link to Care
• Patient Segmentation
• Patient Adherence and Persistence
• Digital Campaign Optimization
• Multi touch attribution