Manager, Data Scientist - Biopharma

Key Skills

AngularJS, Apache Hadoop, Dash framework, Data Analytics, Data Mining, Data science techniques, Database, Databricks, Effective communication skills, Machine learning techniques, Python Programming, Snowflake, SQL, Tableau

Job Description

ROLE RESPONSIBILITIES:

This role is accountable for delivering data science driven support for an assigned brand and will partner with US Commercial, business, and digital teams, to develop and implement models, insights, and data products that drive brands’ strategic priorities.

• Take deep dives in large-scale data to identify key insights that will shape future product/brand strategy for a specific therapeutic area
• Collaborate with cross-functional teams to identify new growth opportunities, develop data requirements, establish critical metrics, and evangelize data products
• Design, deploy, and evaluate experiments that help define opportunities for higher adoption, improved business performance, and better patient experience
• Conduct hypothesis-driven exploratory analyses, select appropriate ML algorithms, and build complex optimization engines to deliver impactful data solutions!
• Research new technologies and methods across data science and data engineering to improve the technical capabilities of the team
• Communicate insights to senior management by distilling complex analysis and concepts into concise business-focused takeaways

QUALIFICATIONS:

• Bachelor’s degree with 5+ years of experience OR Masters Degree with 3+ years of experience OR PhD with 0-2 years of experience
• Degree preferably in engineering, economics, statistics, computer science, or related quantitative field.
• Preferred experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field preferred.
• Working knowledge of relational databases, including SQL, and large-scale distributed systems such as Hadoop and or working in Snowflake/Databricks
• Ability to implement data science pipelines and applications in a general programming language such as Python, Scala, Java, or R.
• 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 extract significant business insights from data and identify the roots behind the patterns
• Experience working with a data visualization tool/package, including Dash, Tableau, and Angular etc.
• Communication skills for communicating complex quantitative analyses to senior business executives

Other Job Details: 

• Last Date to Apply for Job: July 31, 2023

• Additional Location Information: US virtual and any US Pfizer site

The annual base salary for this position ranges from $90,800.00 to $151,300.00. In addition, this position offers an annual bonus with a target of 12.5% of the base salary and eligibility to participate in our share based long term incentive program. Benefits offered include a retirement savings plan, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage in accordance with the terms and conditions of the applicable plans. Pfizer compensation structures and benefit packages are aligned locally, the US Salary range provided does not apply to the Tampa, FL or any EXUS locations.

Relocation assistance may be available based on business needs and/or eligibility.

Sunshine Act

Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.