• You will create cutting-edge models and solutions to enhance and streamline marketing decision-making processes, seamlessly integrating them into our market-leading technology platform. • You will assess the effectiveness of our marketing initiatives by employing advanced techniques such as attribution analysis, incrementality tests, and media mix modeling. As well as translate the resulting insights into actionable strategies that will guide our marketing budget allocation. • You will leverage your expertise in handling extensive data sets to conduct comprehensive analyses from start to finish, including data preparation, modelling training, and thorough evaluation. • You will own, improve and promote best practices and scientific models for Machine Learning, advanced statistics and predictive modeling within the team. • You will join a dynamic Data Science team and collaborate closely with a talented group of Data Engineers, Analytics Engineers and Data Analysts who bring diverse experience and skills to the table. Together, we will drive success across Emma's marketing efforts.

Role Description - Provides leadership to develop, implement and advance quantitative genetics innovations and processes in the Product Design pipeline. - Executes the quantitative genetics technical strategy to design improved cohorts of germplasm that are aligned with Product Concept targets from initial crossing through the handoff to Product Development. - Leads quantitative genetics projects on implementation of Precision Breeding technical innovations in Product Design. - Contributes strong technical and process expertise in coding, delivering, and utilizing models, algorithms and systems for: - Breeding program design and optimization - Breeding goal definition - Optimization of automated crossing processes - Genetic evaluation - Optimization of data acquisition at scale - Attracts and develops talent and serves as a mentor for peers or colleagues in key areas of expertise that support personal development. - Identifies key areas of opportunity for innovative technology implementation and/or process improvement, while positively contributing to a collaborative, innovative, and design-centric culture. - Integrates and leads multi-function teams across Product Design and partners across other world regions (LATAM, EMEA and APAC) to support innovation projects for Precision Breeding. - Focuses on driving genetic gain and product performance through digital transformation and innovative technology development and deployment. - Supports the Health Safety & Environment, Compliance, Business Conduct and Human Rights policies and culture in the site. Qualifications - Master’s degree in Quantitative Genetics, Plant Breeding, Animal Breeding, Computer science or other relevant scientific field. - Demonstrated experience working collaboratively in cross-functional and cross-cultural teams to achieve common goals. - Demonstrated experience leading and influencing activities of cross-functional teams without direct reporting relationships. - Ability to lead and influence key stakeholders through challenges, opportunities, and facilitate solutions. - Results orientation with demonstrated ability to manage multiple projects/priorities simultaneously. - Experienced in building and operating processes for the analysis of large biological data sets, quantitative genetics, statistical genetics, as well as coding experience in C, Fortran, R or similar languages. - Strong collaboration and ability demonstrated through building cross-functional partnerships and influencing others to drive results and innovation focused on solving business problems. - Demonstrated ability to manage complex problems. Requirements - Demonstrated track record of success and 6+ years of experience in deriving quantitative genetics theory, in coding, in delivering and in utilizing models, algorithms and systems for at least three of the following areas: - Breeding program design and optimization - Breeding goal definition - Optimization of automated crossing processes - Genetic evaluation - Optimization of data acquisition at scale in plant or animal breeding programs - Execution of quantitative genetics processes at scale in plant or animal breeding programs - Ph.D. degree in Quantitative Genetics, Plant Breeding, Animal Breeding, or other relevant scientific field. - 6-10+ years of experience in developing quantitative genetics methods and processes for routine use in breeding programs. Benefits - Salary range: $120,560.00 to $180,840.00. - Additional compensation may include a bonus or commission (if relevant). - Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc.

• Maintain data pipelines for automated data processing suitable for downstream reporting, tabling, and summarizing • Execute and build upon reproducible reports via efficient code for complex tabling and data visualization. • Contribute to internal or external R packages. • Collaborate with Clinical Operations and Data Management teams to understand emerging trial and business needs, assess available data, and determine how to appropriately summarize and present results.

• Build and maintain Marathon's marketing attribution model, identifying which touchpoints across email, SMS, push, direct mail, and care team outreach are influencing activation, empanelment, and sustained engagement • Develop standardized campaign performance dashboards for use by the marketing team for optimization • Own funnel analysis across the full member journey from eligibility through activation, empanelment, and sustained engagement identifying where and why members drop off • Design and analyze incrementality tests that isolate true lift from campaigns versus organic member behavior • Partner with the lifecycle marketing manager and marketing automation team members to define test methodology, measurement plans, and success criteria across incrementality, A/B, and other experiment types, and own the analysis and reporting that turns results into clear optimization recommendations • Serve as the analytical connective tissue across marketing automation, engagement enablement, product, data, and engineering teams, ensuring data flows correctly and is interpreted consistently