Senior Director, Data Science

Key Skills

Aartificial intelligence, Apache Hadoop, B2B, Data science techniques, Data Visualization, Databricks, Effective communication skills, Java Programming, Linear Algebra, Logistic Regression, Machine learning techniques, Mathematical modeling, Python Programming, Scala Programming, Snowflake, SPARK Programming, SQL

Job Description

This role is accountable for delivering data science driven insights & solutions and will partner with senior functional leads for Insight and Strategy, Analytics Engineering, Market Research, Analytics Governance to develop and implement models, insights, and data products that drive brands’ strategic priorities.

• You are a top-tier data scientist with significant experience in forming teams, organizing analytical processes and workflows, and mentoring/developing the managers what work on your team as well as junior team members.

• You are a hands-on leader who has demonstrated the ability to hire, build and develop high performing teams to meet the needs of a highly dynamic and complex business.

• You have a passion for applied empirical analytics and answering hard questions with data, and the demonstrated ability to conceptualize, promote and implement business insights.

• You have the ability to use advanced machine learning techniques for driving highly applied analyses and tools to directly drive revenue and optimize resources.

• You have experience building and leading enterprise team to develop end-to-end ML/AL solutions and application at large scale in the Cloud.

• Have a strong passion for conceptualizing, documenting and deploying complex analytical plans to take on business problems.

• Confirmed collaboration, executive communication and story telling skills with ability to adapt and connect across a variety of audiences. This includes strong writing, and data visualization skills with the ability to communicate complex quantitative analysis in a clear, precise, and actionable manner to senior executives.

• Leading ongoing and ad-hoc analyses and predictive analytics to provide leadership with actionable insights at tactical and strategic levels.

• Be a self-starter, driven, accountable and a high-energy leader.

• Background in healthcare, Pharma, or health payments analytics experience highly preferred.

• Experience in B2B and/or B2C marketing is a plus.

Key Qualifications

• 12+ years of relevant experience in data science/machine learning and 8+ years' managerial experience.

• You have expert level knowledge of applied regression techniques including, but not limited to: Linear, Logistic, Mixed models, Time Series, General Linear Models & Simultaneous Equations. You also have experience in the use of Neural Network models for sales forecasting and GAN models.

• Expertise in statistical data analysis and mathematical methodologies for unsupervised & supervised learning algorithms. Expertise in a wide variety of techniques such as neural nets, deep neural nets, boosted trees, support vector machines. Algorithm development in graph mining and social network analysis is a plus

• Expert level knowledge of relational databases, including SQL, and large-scale distributed systems such as Hadoop and or working in Snowflake/Databricks

• Conceive and coach the design of end to end scripted analytics solutions using Python, Scala, Java, or R as well as modern analytical systems in Spark + Hadoop/Databricks/Snowflake.

Education

• Advanced degree in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field. Ph.D is preferred.

• Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact.

Other Job Details:

• Eligible for employee referral bonus

• Location: Flexible

The annual base salary for this position ranges from $199,500 to $332,500. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 25% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site – U.S. Benefits | (uscandidates.mypfizerbenefits.com).Pfizer compensation structures and benefit packages are aligned based on the location of hire. The US salary range provided does not apply to Tampa, FL or any location outside of the US.

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.