SR, Data Scientist

Mexico

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.

Sr. Data Scientist

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

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