Data Scientist

Accountabilities:
- Collaborate with the Commercial Data Science team to identify and leverage internal and external data for business solutions.- Support the design, development, and deployment of AI and machine learning models tailored to business needs.- Assist with large-scale projects using both online/offline, structured/unstructured, and set-top box data to build customer-centric models and optimization tools.- Maintain and update scalable analytical models for recurring analyses and future use cases.- Conduct analytics using HCP and de-identified patient-level healthcare data to generate disease insights and support lead generation.- Develop machine learning models to analyze influences and interactions throughout the patient healthcare journey.- Optimize existing and create new ML tools and models to improve patient finding and HCP identification processes.- Apply predictive modeling to enhance customer experience, targeting, and other business outcomes.- Collaborate with Commercial teams and the AI community to develop best practices and cross-functional, value-driving opportunities.- Support ad hoc analyses and production operations as needed.

Essential Skills/Experience:
- BS/MS in a quantitative discipline such as Computer Science, Data Science, Engineering, Information Systems, or Economics, with solid foundation in statistical analysis and modeling.- At least 4 years experience in statistical and predictive modeling, ideally within consulting or fintech or related industries.- Excellent communication skills and the ability to convey complex findings to technical and non-technical audiences.- Deep experience with analytic tools and languages, such as Python, Dataiku, Databricks, Qlik, and Power BI; strong familiarity with machine learning and AI methods.- Proven skills in building and extracting insights from statistical models (e.g., linear regression, clustering, random forest, time series, and neural networks).- Hands-on experience working with EHR, administrative claims, and laboratory data (such as Prognos, IQVIA, Komodo, or Symphony claims data).- Technical knowledge of database structures, query languages, structured programming, and large dataset querying using ANSI SQL; experience with relational databases.- Role is primarily office-based and requires use of a computer, communication via phone/video/messaging, problem-solving, collaboration, and general availability during standard business hours, with or without accommodations.

Desirable Skills/Experience:
- Ability to analyze and visualize data using modern data visualization techniques.- Skilled in data manipulation, cleansing, and interpretation.

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. Thats why we work, on average, a minimum of three days per week from the office. But that doesnt mean were not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.

At AstraZenecas Alexion division, we champion diversity and foster an energizing culture where new ideas thrive. Our commitment to inclusion ensures that life-changing innovations can come from anywhere. We celebrate each others successes and take pride in giving back to our communities. Here, your career is more than just a path; its a journey to making a difference where it truly counts.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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