Gilead Sciences, Inc.
Director, Marketing Sciences
Gilead Sciences, Inc., Foster City, California, United States, 94420
We are seeking a visionary **Director, Data Science**, to lead high-impact, cross-functional initiatives across therapeutic areas (TAs) that drive strategic value and innovation throughout the organization. This role will partner with diverse stakeholders and data science peers to establish best practices, streamline operations, and deliver measurable improvements in driving business performance, team efficiency, and cost optimization.·
Work with other Data Scientists to define retraining schedule and measure propensity models for impact·
Excellent communication and ability to abstract backend complexity where it is not needed**Competencies:**
**Results orientation.**The ideal candidate will thrive in a fast-paced, high-growth environment. He/She/They will have a strong drive to meet and exceed goals, even under adverse circumstances, and is willing to take ownership of problems and make decisions in order to move forward. The candidate will be adept at clearly defining objectives and priorities and establishing appropriate milestones through a strong understanding of the market and innovative approaches. He/She/They will assign accountability and incorporate disciplined processes to ensure success and nimbly handle ‘derailments' with contingency plans and coordination.
**Team leadership.**The successful candidate will have demonstrated the ability to build, develop, and motivate a team as evidenced by effective hiring, coaching, and mentoring of direct reports. Additionally, this individual will have a track record of successfully leveraging diversity of thought to achieve the highest level of results. The ideal candidate will develop an inclusive culture comfortable with challenging current market paradigms to achieve and exceed goals. He/She/They will also have constructed an appropriate succession plan and process.
**Strategic Orientation.**The successful candidate will be able to articulate evolving priorities for the business, identify market opportunities and adapt short-term plans. This includes the ability to strategically assess customer needs and build/execute specific, segmented strategies to win business across a diverse set of customers. The successful candidate will have passion for, and success in, developing commercial strategies that have measurable business impact.
**Collaboration and Influence.**The qualified candidate must be able to influence without ownership, which they will do by demonstrating competence and confidence, being personally accessible and likable, being a good listener, use fact-based persuasion, passion, and persistence as appropriate to the audience and issue at stake. Gaining the support and involvement of key internal constituencies will be critical to success, as will influencing those important constituencies external to the company. The successful candidate must therefore have excellent skills at influencing outcomes and shaping and catalyzing dialogue across and outside the organization. Credibility and integrity are critical attributes to effectively command the respect and trust of key individuals* Bachelor's Degree and Twelve Years' Experience
OR
Masters' Degree and Ten Years' Experience
OR
PhD and Eight Years' Experience* Strong working knowledge of machine learning algorithms, including regression, clustering, neural networks, Bayesian models, RNN, CNN, Tree-based algorithms (RF, XGB, LightGBM), SMOTE and etc.* Experience in building, implementing and using AI-based solutions with proven business impact* Strong leadership that be able to manage initiatives from beginning to end himself/herself* Effective written and verbal communication skills* Experience in implementing, optimizing and using AI-based solutions to establish proven business impact]* Experience working with standard pharma and consumer data types and sources such as patient claims, Xponent, Plantrak, sales, activity.* Expertise in commonly used pharma datasets such as IQVIA, Symphony, Komodo claims, Optum, Definitive health, Health Verity, EMR/HER* Expertise in Python including commonly used data science libraries such as numpy, pandas, scikit-learn, seaborn, networkx, etc.* Expertise in data science techniques such ANCOVA, Bayesian Statistics, Econometric modeling, Neural Networks/Logistic, etc.* Understanding of cloud-based technologies and tools such as Databricks, S3, etc.* Experience designing measurement solutions in any visualization software (Tableau preferred)* Demonstrated product mindset* Familiarity with product management principles* Effective written and verbal communication skills* Strong team player. Inclusive, objective, cross-functional, team member with a positive and solution-oriented mindset* Understanding of emerging data science capabilities (fields, methodologies, algorithms, etc.) and potential application in pharma/health care* Thorough understanding of datasets including their strengths and limitations such as capture rate, projections and acceptable error ranges for different therapeutic spaces* Masters degree in a quantitative field with at least 6 years of relevant data science/analytics experience OR Undergraduate degree in a quantitative field with at least 8 years of relevant data science/analytics experienceGilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package. Benefits include company-sponsored medical, dental, vision, and life insurance plans\*.
For additional benefits information, visit: #J-18808-Ljbffr
Work with other Data Scientists to define retraining schedule and measure propensity models for impact·
Excellent communication and ability to abstract backend complexity where it is not needed**Competencies:**
**Results orientation.**The ideal candidate will thrive in a fast-paced, high-growth environment. He/She/They will have a strong drive to meet and exceed goals, even under adverse circumstances, and is willing to take ownership of problems and make decisions in order to move forward. The candidate will be adept at clearly defining objectives and priorities and establishing appropriate milestones through a strong understanding of the market and innovative approaches. He/She/They will assign accountability and incorporate disciplined processes to ensure success and nimbly handle ‘derailments' with contingency plans and coordination.
**Team leadership.**The successful candidate will have demonstrated the ability to build, develop, and motivate a team as evidenced by effective hiring, coaching, and mentoring of direct reports. Additionally, this individual will have a track record of successfully leveraging diversity of thought to achieve the highest level of results. The ideal candidate will develop an inclusive culture comfortable with challenging current market paradigms to achieve and exceed goals. He/She/They will also have constructed an appropriate succession plan and process.
**Strategic Orientation.**The successful candidate will be able to articulate evolving priorities for the business, identify market opportunities and adapt short-term plans. This includes the ability to strategically assess customer needs and build/execute specific, segmented strategies to win business across a diverse set of customers. The successful candidate will have passion for, and success in, developing commercial strategies that have measurable business impact.
**Collaboration and Influence.**The qualified candidate must be able to influence without ownership, which they will do by demonstrating competence and confidence, being personally accessible and likable, being a good listener, use fact-based persuasion, passion, and persistence as appropriate to the audience and issue at stake. Gaining the support and involvement of key internal constituencies will be critical to success, as will influencing those important constituencies external to the company. The successful candidate must therefore have excellent skills at influencing outcomes and shaping and catalyzing dialogue across and outside the organization. Credibility and integrity are critical attributes to effectively command the respect and trust of key individuals* Bachelor's Degree and Twelve Years' Experience
OR
Masters' Degree and Ten Years' Experience
OR
PhD and Eight Years' Experience* Strong working knowledge of machine learning algorithms, including regression, clustering, neural networks, Bayesian models, RNN, CNN, Tree-based algorithms (RF, XGB, LightGBM), SMOTE and etc.* Experience in building, implementing and using AI-based solutions with proven business impact* Strong leadership that be able to manage initiatives from beginning to end himself/herself* Effective written and verbal communication skills* Experience in implementing, optimizing and using AI-based solutions to establish proven business impact]* Experience working with standard pharma and consumer data types and sources such as patient claims, Xponent, Plantrak, sales, activity.* Expertise in commonly used pharma datasets such as IQVIA, Symphony, Komodo claims, Optum, Definitive health, Health Verity, EMR/HER* Expertise in Python including commonly used data science libraries such as numpy, pandas, scikit-learn, seaborn, networkx, etc.* Expertise in data science techniques such ANCOVA, Bayesian Statistics, Econometric modeling, Neural Networks/Logistic, etc.* Understanding of cloud-based technologies and tools such as Databricks, S3, etc.* Experience designing measurement solutions in any visualization software (Tableau preferred)* Demonstrated product mindset* Familiarity with product management principles* Effective written and verbal communication skills* Strong team player. Inclusive, objective, cross-functional, team member with a positive and solution-oriented mindset* Understanding of emerging data science capabilities (fields, methodologies, algorithms, etc.) and potential application in pharma/health care* Thorough understanding of datasets including their strengths and limitations such as capture rate, projections and acceptable error ranges for different therapeutic spaces* Masters degree in a quantitative field with at least 6 years of relevant data science/analytics experience OR Undergraduate degree in a quantitative field with at least 8 years of relevant data science/analytics experienceGilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package. Benefits include company-sponsored medical, dental, vision, and life insurance plans\*.
For additional benefits information, visit: #J-18808-Ljbffr