Data Scientist, Machine Learning

Job not on LinkedIn

🕒 August 21

🇲🇽 Mexico – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Cobalto Talent

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2022

🎯 Recruiter

🤝 B2B

Recruitment • B2B

Cobalto Talent is a Mexico- and North America-focused recruitment agency that connects companies with vetted candidates through a fast, efficiency-oriented hiring process. They offer a large candidate pool, candidate evaluation, and support services, and emphasize speed (placements in as little as 24 hours), cost and time savings, and the use of specialized software and AI to enhance sourcing and selection. Cobalto Talent serves companies (B2B) across industries, providing end-to-end recruitment and onboarding support.

📋 Description

• Collect, clean, transform, and analyze structured and unstructured data from multiple sources • Develop predictive models, machine learning algorithms, and statistical analyses to solve business problems • Build, validate, and deploy machine learning models for production environments • Analyze customer behavior, business performance, operational efficiency, and market trends • Collaborate with Product, Engineering, Business Intelligence, Marketing, and Executive teams to translate business problems into analytical solutions • Design and maintain data pipelines, feature engineering processes, and model monitoring frameworks • Develop dashboards, reports, and visualizations for technical and non-technical stakeholders • Conduct A/B testing, hypothesis testing, forecasting, and statistical modeling • Optimize data quality, model performance, and automation processes • Stay current with emerging AI, Machine Learning, and Data Science technologies and best practices • Support U.S.-based organizations across Technology, SaaS, Healthcare, Finance, Retail, Manufacturing, and Biotechnology industries • Complete a One-Way Video Interview as the next hiring-process step

🎯 Requirements

• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Artificial Intelligence, or a related field • 3+ years of experience in Data Science, Machine Learning, or Advanced Analytics • Strong proficiency in Python and SQL • Experience building, validating, and deploying machine learning models • Strong knowledge of statistics, predictive modeling, and data analysis • Experience working with large datasets and cloud-based data platforms • Experience communicating technical findings to business stakeholders • Strong problem-solving, analytical thinking, and critical reasoning skills • Professional English proficiency (B2+/C1 preferred; B2+ listed in resume requirements) • Ability to work independently in a remote, multicultural environment • Experience with machine learning libraries such as Scikit-learn, TensorFlow, PyTorch, XGBoost, or LightGBM • Experience with data cleaning, feature engineering, and data visualization • Experience with cloud platforms such as AWS, Azure, or Google Cloud • Experience using Power BI, Tableau, or Looker for data visualization and executive reporting

🏖️ Benefits

• Full-time employment • Remote work arrangement • Opportunity to collaborate with world-class teams • Opportunity to influence strategic decisions • Opportunity to build innovative solutions with measurable business impact • One-Way Video Interview as the next step in the hiring process