**ROLE SUMMARY**The Analytics Field Engineer will be responsible for end to end development of enterprise data science and analytics assets to streamline the analytics workflow. This role with partner with data scientists from different business teams (including Research and Development, Global Supply, Medical, and Commercial) to understand pain points and gaps in the analytics platform to identify and develop extensions, plug-ins, and reusable templates to optimize the data scientist day-to-day workflow. The role must have a strong data science and software develop background to develop extensions that include data enrichment utilities, data visualization charts, and AI/ML plug-ins. The role will be interfacing directly with both Digital and Business data science and analytical teams to understand requirements and develop assets in close collaboration with users.Given rise of complex systems built around data, we must put data and analytics at the center of our organization and empower our colleagues to use that data to gain novel insights and optimize decision-making processes. Pfizer Insights will be the digital engine that brings together investments we have made into a unified experience for colleagues that take us to the next level of value creation. It powers next generation insights by developing enterprise-grade data foundations, allowing data to flow horizontally, enabling a versatile analytics environment, and embedding insights into day-to-day work to create a digital, data-driven culture.**ROLE RESPONSIBILITIES**:- Hands-on data engineering and data science across multiple systems and data types.- Ability to work across analytical workflows from data acquisition, exploratory data analysis, feature engineering, modeling, and interactive storytelling.- Developing analytical products which leverage emerging data sources, advanced methodologies, and new cost-effective technologies.- Create, publish, and maintain a library of data enrichment, data visualization, and AI/ML plug-ins and extensions- Develop platform frameworks for support analytics practitioners to scale, automate, and deploy data pipelines, visual web apps, and/or AI/ML models- Clearly communicate the value and efficiency of new capabilities and technologies in order to advance adoption throughout the organization.- Ability to be flexible, prioritize multiple demands and deal with ambiguity.- Strong team player, experienced with complex matrix environments**BASIC QUALIFICATIONS**:- Bachelors Degree in Computer Science, Statistics, Mathematics, Operations Research, Data Science, Computational Biology, or other similar quantitative fields required.- At least 7 years of experience with 5 years experience in healthcare and/or consulting field- Expert knowledge and experience in statistical packages using languages like R or Python- Demonstrated familiarity and ability with data transformation and ETL processing- Experience with machine learning and associated tools/libraries such as scikit-learn and MLlib.- Experience with interactive data visualization tools like Tableau, PowerBI, Plotly, D3.jS, and/or Shiny- Experience with cloud architecture, docker, and containerization- Linux/Unix/shell scripting experience required.- Passion and curiosity for data and proven ability to take ideas from research to production.- Ability to deal with and solve ambiguous problems.LI-PFEPfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.Information & Business Tech
