Senior Manager, Analytics Field Engineer

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

• 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.
• Research, identify, and apply new algorithms and technologies to current business needs. 
• Work on and rotate through agile prototyping teams across the organization applying innovative big data capabilities to address corporate-wide business problems. 
• Apply emerging analytical techniques on structured and unstructured data to drive improvements in the speed and impact of business analytics for end users
• 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
• Proven ability to act as a strategic consultant partnering with business stakeholders across Research and Development, Global Supply, Medical, and Commercial Excellent communication skills with ability to communicate the business relevance of technical subject matter clearly and effectively.

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#PFE

Purpose 

Breakthroughs that change patients' lives... At Pfizer we are a patient centric company, guided by our four values: courage, joy, equity and excellence. Our breakthrough culture lends itself to our dedication to transforming millions of lives.

Digital Transformation Strategy

One bold way we are achieving our purpose is through our company wide digital transformation strategy. We are leading the way in adopting new data, modelling and automated solutions to further digitize and accelerate drug discovery and development with the aim of enhancing health outcomes and the patient experience.

Flexibility  

We aim to create a trusting, flexible workplace culture which encourages employees to achieve work life harmony, attracts talent and enables everyone to be their best working self. Let’s start the conversation!

Equal Employment Opportunity 

We believe that a diverse and inclusive workforce is crucial to building a successful business. As an employer, Pfizer is?committed to celebrating?this,?in all its?forms – allowing for us to be as diverse as the patients and communities we serve. Together, we continue to build a culture that encourages, supports and empowers our employees.

Information & Business Tech

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