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Manager, Data Scientist - Biopharma
Company | Pfizer |
Address | New York, NY, United States |
Employment type | FULL_TIME |
Salary | |
Category | Pharmaceutical Manufacturing |
Expires | 2023-08-21 |
Posted at | 9 months ago |
ROLE SUMMARY:
- Design, deploy, and evaluate experiments that help define opportunities for higher adoption, improved business performance, and better patient experience
- Communicate insights to senior management by distilling complex analysis and concepts into concise business-focused takeaways
- Collaborate with cross-functional teams to identify new growth opportunities, develop data requirements, establish critical metrics, and evangelize data products
- Take deep dives in large-scale data to identify key insights that will shape future product/brand strategy for a specific therapeutic area
- Research new technologies and methods across data science and data engineering to improve the technical capabilities of the team
- Conduct hypothesis-driven exploratory analyses, select appropriate ML algorithms, and build complex optimization engines to deliver impactful data solutions!
- Communication skills for communicating complex quantitative analyses to senior business executives
- Experience working with a data visualization tool/package, including Dash, Tableau, and Angular etc.
- Ability to extract significant business insights from data and identify the roots behind the patterns
- Working knowledge of relational databases, including SQL, and large-scale distributed systems such as Hadoop and or working in Snowflake/Databricks
- Bachelor’s degree with 5+ years of experience OR Masters Degree with 3+ years of experience OR PhD with 0-2 years of experience
- Preferred experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field preferred.
- Degree preferably in engineering, economics, statistics, computer science, or related quantitative field.
- Practical experience with and theoretical understanding of ML algorithms for classification, regression, clustering, and anomaly detection
- Well versed with and have experience applying various statistical methodologies including Bayesian and non-parametric techniques, hypothesis testing, ANOVA, Regression, fixed and random effects etc. to measure the impact of experiments
- Hands on experience working in big data environments such as Hadoop, Spark, and using Python / SQL or comparable languages for manipulating and analyzing complex clickstream and or unstructured data
- Ability to implement data science pipelines and applications in a general programming language such as Python, Scala, Java, or R.
- Last Date to Apply for Job: July 31, 2023
- Additional Location Information: US virtual and any US Pfizer site
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