Marketing Data Scientist
San Francisco, H, Costa Rica
Bridgestone Costa Rica
Información de la Compañía / Company Overview
Acerca de Bridgestone
Bridgestone Americas, Inc. (BSAM), con sede en Nashville, Tennessee, y Bridgestone Europa, Medio Oriente y África (BSEMEA), con sede en Bruselas, Bélgica, operan colectivamente como una región estratégica “Bridgestone West”. Esta región atiende las necesidades comerciales estratégicas de equipos en América, Europa, Medio Oriente y África. BSAM y BSEMEA son subsidiarias de Bridgestone Corporation, con sede mundial en Japón. Bridgestone y sus filiales desarrollan, fabrican y comercializan una amplia gama de productos y soluciones Bridgestone, Firestone y marcas asociadas para abordar las necesidades de una amplia gama de clientes e industrias.
En Bridgestone, siempre eres Libre para Ser
Creemos que las personas solo pueden brindar un servicio y una calidad superiores a los demás cuando pueden traer su yo más auténtico al trabajo. Creemos en defender todas las perspectivas, individualidades y equipos porque entendemos la importancia de ver el mundo y nuestro negocio a través de diferentes perspectivas. Estamos formando un equipo tan diverso como el mundo al que servimos.
Así que, muéstranos quién eres, porque quien eres es lo que necesitamos.
About Bridgestone
Bridgestone Americas, Inc. (BSAM), headquartered in Nashville, Tennessee, and Bridgestone Europe, Middle East and Africa (BSEMEA), headquartered in Brussels, Belgium, operate collectively as a “Bridgestone West” strategic region. This region services the strategic business needs of teams across the Americas, Europe, Middle East and Africa. BSAM and BSEMEA are subsidiaries of Bridgestone Corporation, globally headquartered in Japan. Bridgestone and its subsidiaries develop, manufacture and market a wide range of Bridgestone, Firestone and associate brand products and solutions to address the needs of a broad range of customers and industries.
At Bridgestone, you are always Free to Be
We believe people can only provide superior service and quality to others when they bring their whole self to work. We believe in championing all perspectives, individuals and teams because we understand the importance of seeing the world and our business through many different lenses. We are building a team as diverse as the world we serve. So, show us what you are made of, because who you are is what we need.
So, show us what you are made of, because who you are is what we need.
Responsabilidades / Responsibilities
Join Our Team as a Marketing Data Scientist!
Are you passionate about leveraging data science to drive marketing success? Do you thrive on uncovering insights and optimizing performance through advanced analytics and machine learning? We have the perfect opportunity for you!
As a Marketing Data Scientist, you will be a strategic partner to our Digital Marketing, Demand Generation, and Relationship Marketing teams. You will lead the implementation of a cutting-edge, cloud-based Marketing Mix Modeling (MMM) solution, ensuring we can effectively measure the impact of our marketing efforts across all channels and make informed strategic investment decisions.
- Lead the implementation of a scalable Marketing Mix Modeling (MMM) solution in collaboration with a third-party technology partner.
- Develop statistical and machine learning models to predict customer behavior, segment audiences, and enhance campaign targeting.
- Analyze large-scale marketing datasets to identify trends, causal relationships, and optimization opportunities.
- Partner with digital and CRM teams to evaluate campaign performance, build attribution models, and support A/B and multivariate testing.
- Automate data pipelines and analytical processes to streamline reporting and decision-making.
- Design and maintain robust marketing experiments, ensuring statistical rigor and accurate interpretation of results.
- Visualize and communicate insights through dashboards, reports, and presentations for business stakeholders.
- Collaborate with data engineers to ensure scalable, clean, and reliable data infrastructure.
- Drive adoption of data science tools and techniques across marketing functions through training and consultative support.
#LI-Hybrid
Requisitos / Qualifications
- Education: Master’s or Bachelor’s degree in Data Science, Statistics, Computer Science, Applied Mathematics, Econometrics, or a related field.
- Certifications: Microsoft Azure Data Scientist Associate, Google Professional Data Engineer, or recognized Data Science certifications – preferred. Certifications in Adobe Analytics, Google Analytics, or Meta Blueprint – a plus.
- Languages: English C1 - Native. Portuguese – desirable.
- Desired Experience: Hands-on experience with Marketing Mix Modeling (MMM) frameworks, applying data science in marketing or customer analytics, and familiarity with marketing platforms and CRM systems.
- Essential Experience: Minimum 4 years in a data science or marketing analytics role. Proficiency in Python or R, with experience in libraries such as pandas, scikit-learn, statsmodels, or caret. Strong background in SQL and querying structured and unstructured data sources.
Specific Technical Knowledge:
- Deep understanding of MMM modeling principles, time-series forecasting, and model validation techniques.
- Experience with data wrangling, exploratory data analysis, feature engineering, and model deployment.
- Strong knowledge of marketing KPIs like ROAS, CAC, LTV, retention, and conversion rates.
- Visualization and communication skills using Power BI, Looker, Tableau, or Python-based tools.
- Awareness of data privacy regulations such as GDPR and CCPA.
What we offer
At Bridgestone, what really matter is to foster co-creation opportunities and empowering you to be creative and curious to make mobility safer, more efficient, and more sustainable for future generations.
Whatever role you fill, when you represent Bridgestone, you are a valued teammate, and part of our larger mission to “Serve Society with Superior Quality”. We offer you more than just competitive payment; we will provide you:
- A supportive and engaging onboarding experience to ensure a smooth transition into our team.
- The opportunity to develop and grow, through training and regular mentorship.
- Corporate Social Responsibility activities.
- A truly global, dynamic and challenging work environment.
- Agility and work/life effectiveness and your long-term well-being.
- A diverse and inclusive team.
Bridgestone is proud to be an Equal Employment Opportunity. It is our policy to consider for employment all individuals regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, gender, sex, sexual orientation, gender identity and/or expression, genetic information, veteran status, or any other characteristic protected by federal, state or local law.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Azure Computer Science Data analysis Data pipelines Econometrics EDA Engineering Feature engineering KPIs Looker Machine Learning Mathematics ML models Model deployment Pandas Pipelines Power BI Privacy Python R Scikit-learn SQL Statistics statsmodels Tableau Testing Unstructured data
Perks/benefits: Team events
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