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Bayer Associate Manager, Digital Data Science (Consumer Health) in Carson City, Nevada

Bayer is a global enterprise with core competencies in the Life Science fields of health care and agriculture. Its products and services are designed to benefit people and improve their quality of life. At Bayer you have the opportunity to be part of a culture where we value the passion of our employees to innovate and give them the power to change.

Associate Manager, Digital Data Science (Consumer Health)

YOUR TASKS AND RESPONSIBILITIES

The primary responsibilities of this role, Associate Manager Digital Data Science, are to:

  • Use Machine Learning algorithms to understand behavioral cohorts of consumers, derived from media audiences based on combination of lifestyle choices, health conditions and demographics;

  • Understand unique path to purchase plus avenues for product and contact innovation;

  • Deploy and test the impact of dynamic content against scores of audience profiles that are lifestyle and health condition driven;

  • Test, learn and scale;

  • Develop short term attribution models based on path to purchase while controlling for select market conditions;

  • Leverage foundational knowledge and experience in working with various data sources and methodologies in the development of a Consumer Data Platform (CDP) that includes consumer insight and persona development, audience modeling and development and closed loop attribution modeling;

  • Leverage core understanding of data landscape and modeling that includes ad exposure and response data, retail and other third-party transaction data together with demographics/lifestyle and various first party data attributes to build out on a first party data vision;

  • Work closely with Consumer Insights and Media teams on how to creatively leverage this rich data asset for their respective insight, segmentation, measurement, and activation needs;

  • Identify data gaps and advocate for additional data sources to meet unmet marketplace need(s);

  • Work independently in a virtual, networked environment;

  • Deliver project outcomes;

  • Build frameworks and quality control mechanisms to ensure highest levels of data integrity;

  • Serve as a thought partner for functional counterparts to inform usage of predictive methods/tools for enhancing business units’ needs;

  • Identify and build relationships with potential external consulting firms/vendors or parties who may assist in the building of the predictive analytics capability.

WHO YOU ARE

Your success will be driven by your demonstration of our LIFE values. More specifically related to this position, Bayer seeks an incumbent who possesses the following:

Required Qualifications:

  • Master’s degree with at least six years of data science experience OR Ph.D. in a relevant Data Science field with at least three years of experience;

  • Educational preparation in at least one of the following areas, Machine Learning, Applied Mathematics, Computer Science or other related quantitative discipline;

  • Expertise in one or more core analytics methods including predictive modeling, machine learning, unstructured data analytics, simulation and optimization techniques;

  • Direct user experience in one or more data mining tools such as R or Python;

  • Ability to gather, transform and analyze data to create custom solutions;

  • Fit to Win competencies include, builds effective teams, cultivates innovation, learning and change agility, customer focus, action oriented/drives results, collaborates globally and locally, plans and aligns, drives stakeholder engagement, effectively manages suppliers;

  • Knowledgeable of the media planning, measurement, and optimization process and acumen (both online and offline);

  • Proficient with the application of analytic methods in digital and mobile channels;

  • Proficient with direct and/or interactive marketing test design;

  • Demonstrated history of innovation with emerging ad platforms, data, measurement, or analysis techniques;

  • Understanding of CDPs role in the market and the broader AdTech/MarTech space;

  • Critical thinking – capable of generating consistently accurate, useful reports as well experience in translating data into actionable insight relevant to marketing program objectives;

  • Proficient in integrating multiple data sources (first-party, third-party, media activity) and utilizing creative analytical approaches to answer client audience insight or performance questions;

  • Excellent financial management skills to critically and objectively assess programs and cost investments versus results;

  • Ability to streamline operational processes;

  • Superior analytical ability, assessing different models and related outputs, with understanding of impact;

  • Excellent communication skills;

  • Be able to create an environment that encourages innovation and risk taking;

  • Digital Excellence, strong analytical skills and comfortability with digital programs and platforms, including strong Microsoft Office skills;

  • Thorough knowledge of digital strategy development, digital strategies, channels, and measurement/analytics;

  • P&L Management, takes activist ownership of brand/category bottom line, has experience owning L.O.B. budgets and results;

  • Be persistent and committed to a successful completion of assignments on-time with complete accuracy.

Preferred Qualifications:

  • Experience with at least two years focused in CPG or healthcare;

  • Experience with digital consumer data platforms;

  • Knowledge of Google Analytics/Social Media Analytics.

YOUR APPLICATION

Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and you have the "Passion to Innovate" and the "Power to Change", we encourage you to apply now. To all recruitment agencies: Bayer does not accept unsolicited third party resumes.

Bayer is an Equal Opportunity Employer/Disabled/Veterans

Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.

Location: United States : Residence Based : Residence Based

Division: Consumer Health

Reference Code: 297861

Contact Us

Email: hrop_usa@bayer.com

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