Sr. Director Data Science - Snowflake, United States - Pfizer

Pfizer Snowflake, United States

1 week ago

Description

Sr. Director Data Science (TA Lead) page is loaded

Sr. Director Data Science (TA Lead)

Bewerben

locations

United States - New York - New York City

United States - Illinois - Lake Forest

time type

Vollzeit

posted on

Vor 3 Tagen ausgeschrieben

job requisition id

ROLE SUMMARY

Pfizer is looking for a senior leader of Data Science building and leading a best-in-class team in commercial analytics and data science.

Reporting to the VP of Data Science and Machine Learning, this person will be responsible for leading a team of data scientists who are aligned by therapeutic areas and support the brands (marketing and sales teams) in their strategy and execution.

You will be leading a team of leaders who oversee their respective therapeutic area (TA) analytics, and your goal will be to drive efficient and scalable analytics across TA analytics while ensuring tight alignment with business priorities.

You will be ensuring best in class methodologies and deliverables across the entire data journey from Descriptive to Predictive analytics.

Data based decisioning is at the heart of what we do, from optimizing go-to-market strategy and marketing to ensuring our sales teams are equipped with the most relevant and helpful information to power their discussions with providers.

We are seeking an experienced senior leader to manage and grow a team of data science professionals to design, develop, and deliver analyses and tools that have direct and measurable impact to customers and business outcomes.

We are looking for someone that is passionate about building analytics practices to solve complicated business problems and deliver on our strategies.

You will work cross functionally with CMO team, business leaders, and digital team to empower decision-making with high speed and scale and accelerate marketing transformation.

You are self-directed with wide range of technical skills, and are highly proficient in turning data discoveries into analytical insights and products that drive business and customer outcomes.

This role is meaningful tactically and strategically and requires a mix of leadership and deep experience directing the activities of a highly applied and deliverables focused team.

Can be hands-on if needed leading advanced analytics solutions using various supervised and unsupervised ML procedures to help drive incremental revenue.

ROLE RESPONSIBILITIES

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 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.

Lead and manage a team leaders responsible for data scientists across all therapeutic areas including delivery of high performance and scalable data science solutions and platforms across enterprise.

Execute the data science strategy and roadmap to identify and implement data pipelines and tools to ensure efficient and seamless integration with business.

Responsible for creation and maturation of data science delivery best practices and change management within the team and through relevant stakeholders

Partner with cross functional teams to drive implementation of new or existing applications by being a thought leader and identifying high impact project opportunities and process changes.

Use advanced machine learning techniques for driving highly applied analyses and tools to directly drive revenue and optimize resources.

BASIC QUALIFICATIONS
15+ years of relevant experience in data science/machine learning
8+ years' managerial experience.
Bachelor's Degree in Related Field

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.
Experience in one or more of pharmaceutical industry key therapeutic areas (Oncology, Primary Care, Specialty Care/Rare Diseases, etc.). You are familiar with analytics required in marketing and sales organization for launches, in-line products, and LoE. You are also familiar with field force analytics and omnichannel strategy and the analytics required therein. Any global experience 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.

Experience in best practices in data science delivery (version control, code review, production grade solutioning, etc.)
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.
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.

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

PREFERRED QUALIFICATIONS
Advanced degree in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field.
PHYSICAL/MENTAL REQUIREMENTS
NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTS

The annual base salary for this position ranges from $205,400.00 to $342, In addition, this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 25.0% 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 |

).

Pfizer compensation structures and benefit packages are aligned based on the location of hire.

The United States salary range provided does not apply to Tampa, FL or any location outside of the United States.

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.
EEO & Employment Eligibility

Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status.

Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA.

Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States.
Marketing and Market Research

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