Marketing Data Scientist

Detalhes da Vaga

We have an exciting opportunity for you to join our team as a Marketing Data Scientist.

Who we are:
FedEx is the largest express transportation company in the world, connecting more than 220 countries and territories. We work every moment to deliver the most important package of someone's day. Our team of passionate people know their day-to-day work is invaluable in delivering outstanding experience to our customers. 530,000 team members strong, we are as diverse as the world we serve. We love what we do, and we do it well. Our reach is big, and so are our dreams. Join us and let's write our next chapter together.

What you will be doing: Develop Data-Driven Insights: Utilize advanced data analysis techniques to extract actionable insights from large and diverse datasets across different European markets, driving strategic marketing decisions and commercial execution optimization.
Utilizing ML methods (e.g supervised, unsupervised) on an Azure platform with languages such as Python, build and implement Predictive Models: Design, build, and deploy predictive and machine learning models to identify market trends, customer behaviour, and business process outcomes.
Analyze Multi-Channel Marketing Data: Integrate and analyze data from various marketing channels (e.g., transactional, firmographic, behavioral, digital data from advertising, social media, email campaigns) to assess performance, identify patterns, generate usable segmentations and recommend improvements to amplify future success of activities.
Collaborate with Cross-Functional Teams: Work closely with marketing, sales, and data teams to ensure alignment of data science initiatives with business goals. Enable analysts to further work on data points and reach data-driven recommendations to support in strategic planning and decision-making processes.
Ensure compliance to the Machine Learning Lifecycle from Data gathering through to Deployment. Appropriate checks and balances along with sufficient validation steps should be incorporated to maintain Data Quality and Compliance (e.g. GDPR and internal data governance policies).
What do you bring with you: The ideal candidate would demonstrate:
Advanced Data Analysis and Modeling: Proficiency in statistical analysis and machine learning techniques, with experience in coding with Python, R, and SQL along with a good knowledge of Databricks is important. Knowledge of tools like Power BI for translating data into insights is a benefit.
Experience with Marketing Analytics: Strong background in analyzing and interpreting marketing data, with knowledge of marketing metrics, customer segmentation, and business performance evaluation.
Multi-Channel Data Integration: Expertise in integrating and analyzing data from various sources, including digital marketing platforms, CRM systems, large transactional databases, to create in-depth intelligent views of customer cohorts.
Strong Communication Skills: Ability to clearly communicate complex data findings and insights to non-technical stakeholders, including creating detailed reports, visualizations, and presentations.
Cross-Cultural and Regional Awareness: Understanding of the nuances and variations in marketing practices and consumer behavior across different European markets, with the ability to adapt strategies to diverse regional needs.
What do we offer: Attractive compensation packageTraining to get you started and on-the-job learning opportunitiesExtensive learning resources to further develop your skills and knowledgeTuition Assistance Program (*applicable for FedEx positions with a permanent contract)Employee Assistance Program for you and your family in difficult life situationsEmployee reduced-rate shippingGreat career opportunitiesFedEx is one of the world's most admired companies and trusted brands year after yearBring your ideas, individuality, and dreams to our global community. Feel good about where you work. Choose your career path - we're ready to invest in your development. Join FedEx.
#LI-Hybrid
FedEx was built on a philosophy that puts people first, one we take seriously. We are an equal opportunity employer and we are committed to a diverse and inclusive workforce in which we provide growth opportunities for all.
Our CompanyFedEx is one of the world's largest express transportation companies and has consistently been selected as one of the top 10 World's Most Admired Companies by "Fortune" magazine. Every day FedEx delivers for its customers with transportation and business solutions, serving more than 220 countries and territories around the globe. We can serve this global network due to our outstanding team of FedEx team members, who are tasked with making every FedEx experience outstanding.
Our PhilosophyThe People-Service-Profit philosophy (P-S-P) describes the principles that govern every FedEx decision, policy or activity. FedEx takes care of our people; they, in turn, deliver the impeccable service demanded by our customers, who reward us with the profitability necessary to secure our future. The essential element in making the People-Service-Profit philosophy such a positive force for the company is where we close the circle, and return these profits back into the business, and invest back in our people. Our success in the industry is attributed to our people. Through our P-S-P philosophy, we have a work environment that encourages team members to be innovative in delivering the highest possible quality of service to our customers. We care for their well-being, and value their contributions to the company.
Our CultureOur culture is important for many reasons, and we intentionally bring it to life through our behaviors, actions and activities in every part of the world. The FedEx culture and values have been a cornerstone of our success and growth since we began in the early 1970's. While other companies can copy our systems, infrastructure and processes, our culture makes us unique and is often a differentiating factor as we compete and grow in today's global marketplace.

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Salário Nominal: A acordar

Fonte: Jobleads

Função de trabalho:

Requisitos

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