Data Scientist, Data-Driven Marketing

Key Skills

Azure, Big Data Technology, Continuous Integration & Continuous Delivery - CI/CD, Databricks, Python Programming, Random forests, Regression Analysis, Snowflake, SQL, XGBoost

Job Description

As a Data Scientist, Data-Driven Marketing, you will uncover consumer behaviors through advanced analytics and modeling, discovering the audiences most relevant to our brands and categories, and creating models and algorithms that are actioned within marketing campaigns and programs.

What are we looking for?

• Bachelor’s degree in Analytics or related quantitative fields (statistics, mathematics, econometrics etc.). Advanced degree will be preferred.

• 2+ years experience in applied data science role or equivalent; ideally in CPG/Retail

• 2+ years of hands-on designing, building and testing machine learning models, preferably in a marketing context

• Experience in applying audience-based advanced analytics for consumer engagement across paid digital channels

• Knowledge and experience in modeling techniques and advanced applied skills (e.g. logistic regression, multivariate regression, Random Forest, Boosting, Trees, text analysis, etc.) as well as with Python, SQL, and with experience using Databricks, Snowflake, Azure or other big data technologies

• Experience with media measurement and ROI optimization a plus

• Experience with CDP, DMP, CRM, EMS platforms a plus

What will be your key responsibilities?

• Collaborate with marketing functions to activate data on specific campaigns, focused on consumer behavior models and attribute patterns, discovering engagement opportunities within and across audience groups.

• Develop and deploy models on Mars Wrigley’s consumer data platform (CDP) for reuse by content and activation teams. Building up the robustness of the platform with audience and segmentation logic is a key responsibility for this role.

• Leverage statistical modeling, machine learning, and other data mining techniques to develop audience segments that can be used for marketing activations, as well as insights into product and content strategy, quantifying segment value (LTV) and opportunities (CAC).

• Develop lookalike audiences based on segmentation modeling of 1P data, understanding the limitations and capabilities across key digital channels, including walled gardens.

What can you expect from Mars?

• Work with over 130,000 diverse and talented Associates, all guided by the Five Principles.

• Join a purpose driven company, where we’re striving to build the world we want tomorrow, today.

• Best-in-class learning and development support from day one, including access to our in-house Mars University.

• An industry competitive salary and benefits package, including company bonus.

#LI-AS3

#LI-HYBRID

Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.

About Mars:

Mars is a family-owned business with more than $35 billion in global sales. We produce some of the world’s best-loved brands: M&M’s®, SNICKERS®, TWIX®, MILKY WAY®, DOVE®, PEDIGREE®, ROYAL CANIN®, WHISKAS®, EXTRA®, ORBIT®, 5™, SKITTLES®, BEN’S ORIGINAL® and COCOAVIA®. Alongside our consumer brands, we proudly take care of half of the world’s pets through our nutrition, health and services businesses such as Banfield Pet Hospitals™, BluePearl®, Linnaeus, AniCura, VCA™ and Pet Partners™. Headquartered in McLean, VA, Mars operates in more than 80 countries. The Mars Five Principles – Quality, Responsibility, Mutuality, Efficiency and Freedom – inspire our 130,000 Associates into taking action every day towards creating the world we want tomorrow.