Senior Data Scientist - Marketing Analytics

Mexico City

We are a global digital agency comprised of strategists, creatives, media experts, data scientists, and engineers driven by one common purpose — accelerate business growth through marketing and digital transformation. Named a top 3% Google Premier Partner and recognized by Inc. 5000 and Adweek’s 75 Fastest Growing Companies, we’re constantly looking for “A” players to join our team.

The rapid growth is attributed to our strongest asset — our people. Our teams are highly collaborative and work closely with each client to set clear goals and objectives so that we can deliver exceptional results. Mindgruve is a place where every opinion is valued. Not only will you be empowered to contribute ideas, but you will also play a key role in the execution and driving success for brands across a variety of industries. Sound fun? Perfect — you’ll fit right in.

We are a global digital agency composed of strategists, creatives, media experts, data scientists, and engineers driven by one common purpose — accelerate business growth through marketing and digital transformation. Named a top 3% Google Premier Partner and recognized by Inc. 5000 and Adweek’s 75 Fastest Growing Companies, we’re constantly looking for “A” players to join our team.

The rapid growth is attributed to our strongest asset — our people. Our teams are highly collaborative and work closely with each client to set clear goals and objectives so that we can deliver exceptional results. Mindgruve is a place where every opinion is valued. Not only will you be empowered to contribute ideas, but you will also play a key role in the execution and driving success for brands across a variety of industries. Sounds fun? Perfect — you’ll fit right in.

Position Overview:

This role is a cornerstone of our integrated machine learning software solution, responsible for helping to build solutions that tackle some of the most complex challenges businesses face today. As a Senior Data Scientist, you will serve as both architect and developer of the core models that drive our products. You’ll be a key contributor to the overall product architecture and codebase, ensuring that machine learning capabilities are seamlessly embedded into our software ecosystem.

You will create and deploy production-grade ML models of all kinds within our cloud-based ML pipeline. Within the Data Science sub-pillar of our Analytics Department, working closely with Analysts, Data Engineers, ML Operations engineers, and other Data Scientists, you’ll help design and build scalable, reliable, and high-performance models that connect into a network of other solutions. Your work will directly shape the intelligence layer of our software solutions and play a pivotal role in advancing our integrated platform.

What You’ll Do Here:

• Develop and implement machine learning models for various purposes, including:
• Marketing and Media Mix.
• Performance Forecasting.
• Price Elasticity.
• Competitive Pricing.
• Merchandising Optimization.
• Audience Segmentation.
• Lift Studies.
• Mentor junior data scientists and guide cross-functional teams in leveraging data-driven insights.
• Collaborate with product leads, MLOps Engineers, other Data Scientists, and other engineering teams to build enterprise data science solutions.
• Ability to translate complex data science concepts into working and scalable solutions.
• Contribute to the entire product lifecycle, from ideation and design to deployment and post-launch analysis
• Stay at the forefront of advancements in machine learning and data science, particularly in marketing applications, and lead the implementation of cutting-edge solutions
• Drive the adoption of best practices in data science across the organization
  
  

Skills and Experience:

• Bachelor's degree required, Master's or Ph.D. preferred in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• Expert-level proficiency in Python, with extensive experience using machine learning libraries.
• Deep expertise in advanced modeling algorithms including hierarchical bayesian modeling, time series forecasting, multivariate regression, causal inference and incrementality for lift studies.
• Deep expertise in ML and predictive modeling algorithms including gradient boosted ensembles, neural architectures, hyperparameter optimization, clustering and segmentation, dimensionality reduction, recommender systems.
• Strong experience with SQL and database management, including working with large-scale datasets.
• Demonstrated ability to lead and mentor junior team members.
• Excellent verbal and written communication skills, with the ability to explain complex concepts to both technical and non-technical audiences, occasionally directly with clients.
• Adaptability and eagerness to learn in a fast-paced environment.
• Professional and personal integrity.
• A detail-oriented mindset, focused on driving results.
  
  

What we consider as a plus:

• 5+ years of experience in applied data science, with at least 2 years focused on marketing analytics or related fields.
• Experience with cloud platforms (e.g., AWS, GCP, or Azure), experience with AWS SageMaker recommended.
• Proven track record of leading successful data science projects in a marketing, digital agency, or related environment.
• Advanced knowledge of MLOps practices and experience leading the implementation of MLOps workflows.
• Experience working in MLOps framework and ability to contribute to the pipeline and collaborate closely with MLOps Engineers.
• Experience with AI and agentic systems is a plus.
  
  

Compensation will be commensurate with experience. Additionally, for eligible full-time employees, we offer a competitive benefits package including medical insurance, dental insurance, and vision insurance; a flexible spending account; voluntary life and accident plans; and a 401(k) retirement plan with matching. Our headquarters is based in San Diego, California, with additional offices in Covington, Kentucky, Denver, Colorado, Nashville, Tennessee and Charleston, South Carolina. We're seeking local candidates (or those open to relocation) who are able to work collaboratively with us in one of our office's; however, based on business needs and unique job functions, some roles may be eligible for remote work. (Bonus points if you’re bilingual in Spanish and/or Portuguese.)

Mindgruve is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.