Data Scientist - MX

WITHIN is the world's first Performance Branding company, partnering with some of the biggest brands in the world to drive business growth through innovative marketing strategies. Our integrated operating model collapses the traditional marketing silos between creative and media, performance and brand, and across media channels. With a full suite of offerings including media, creative, SEO, Lifecycle, Retail Media, Affiliate and Influencer, we’re able to work with our brand partners in an integrated fashion, allowing us to align marketing strategies back to core business objectives. Client teams at WITHIN are trained on how to always act as a trusted business partner, acting as a fiduciary to client needs above our own.

Teams at WITHIN have the ability to work with iconic brands such as The North Face, Timberland, Movado Watches and Jose Cuervo. Everyone at WITHIN wants to grow and be challenged. It’s a collaborative place made up of small, closely knit and versatile teams that are fast and adaptive to solve problems and build systems.

Brkfst.io is an incubated venture within WITHIN, focused on connecting creators with major brands to produce impactful ads at scale.

We are connecting creators with big brands to make impactful ads at scale. We have a network of thousands of content creators with a variety of different skill-sets, and we’re looking to build a program that empowers them to create great ads for brands like Corkcicle, Perfume.com, Casper Mattresses, & more!

This is a very ambitious project and our roadmap is full of exciting features, so we’re looking for people who love innovation and want to be challenged. We’re a small team of scrappy individuals who are growing fast, and we’re looking for someone to grow with us.

About the Role: We are looking for a versatile Data Scientist with a strong marketing background to join our dynamic team. As part of WITHIN, you will work on innovative end-to-end data solutions that drive growth for some of the most iconic brands in the world. This role is perfect for someone who enjoys thinking critically about complex data problems, building and testing models with a strong emphasis on interpretability, and turning innovative ideas into actionable solutions. You will be responsible for solving complex business challenges, designing and refining data pipelines, and applying statistical methods to real-world problems.

Responsibilities include but are not limited to:

• Develop and test new data science models, including Marketing Mix Modeling, time series forecasting and advanced regression models, to solve business problems and improve marketing strategies while ensuring model interpretability.
• Run statistical experiments to measure and optimize performance for clients to uncover key insights from large datasets.
• Implement and refine data models, ensuring they align with dynamic client business objectives and data engineering workflows, offering scalable solutions.
• Collaborate with cross-functional teams, including media, creative, and lifecycle marketing, to integrate data-driven insights into performance branding strategies.
• Communicate complex data findings effectively, both in written and spoken formats, to clients and internal stakeholders.

Requirements:

• 3-5 years of experience as a Data Scientist, preferably with a focus on marketing applications.
• Strong Bayesian statistics and mathematics background with the ability to understand complex algorithms and how they can be applied to solve real-world business challenges.
• Proficiency in Python, SQL, and R.
• Experience with optimization methods.
• Experience working with Google Cloud Platform (GCP) or another cloud platform (AWS, Azure).
• Deep understanding of standard data science algorithms.
• (optional) - Experience with Terraform, microservices and cloud infrastructure automation.
• Excellent written and verbal communication skills.
• A problem-solving mindset with the ability to adapt in a fast-paced environment.

We offer a competitive salary and benefits based on ability level, including:

• Base salary DOE.
• Unlimited vacation policy.
• Monthly phone/internet and food stipend.
• Health insurance coverage.
• Professional Development Program.
• This is a fully in-office role based in Mexico City, Mexico. Candidates must be available to work on-site five days a week.

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