Data Scientist

Job not on LinkedIn

🔥 13 hours ago

💃 Latin America – Remote

⏳ Contract/Temporary

🟡 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.

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AgilityIO

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2011

💼 Consulting

📣 Marketing

🏥 Healthcare

Consulting • Marketing • Healthcare

AgilityIO is a product development partner and software engineering agency that designs and builds next-generation software for innovative startups and Fortune 500 companies. Led by Wall Street and Silicon Valley veterans, the company specializes in complex FinTech systems and consumer applications, offering senior engineers on-demand and dedicated weekly-retainer teams. AgilityIO is SOC 2 Type II compliant, hires and trains senior engineers in Vietnam and South America, and provides end-to-end services from ideation and design to development and scaling.

📋 Description

• Evaluate AI-built analyses on real datasets, including method choice, assumptions, and whether conclusions follow from the numbers • Red-team statistics to expose leakage, p-hacking, confounded comparisons, and unsupported conclusions • Write improved analyses with sound methodology, honest uncertainty, and clear takeaways • Build, train, and evaluate machine learning models for classification, regression, clustering, and forecasting • Apply feature engineering, cross-validation, and metric selection • Document methodology, assumptions, and limitations for review and reproducibility • Collaborate with engineers, product managers, and other team members • Turn open-ended questions into well-defined analytical problems

🎯 Requirements

• Professional, academic, or serious independent experience doing real data analysis in industry or research • Proficiency in Python and its data stack (pandas, NumPy, SciPy, scikit-learn, statsmodels, or equivalents) and in SQL • Experience working in Jupyter or similar notebook environments • Experience with data visualization tools and libraries (matplotlib, seaborn, Plotly, or BI tools such as Tableau or Power BI) • Working knowledge of machine learning fundamentals: model selection, overfitting, evaluation metrics, and validation strategies • Clear written and spoken English • No degree required • Preferred: Background as a Data Scientist, Data Analyst, or Analytics Engineer • Preferred: Experience reviewing, auditing, or red-teaming someone else's analysis or model output • Preferred: Familiarity with common pitfalls in applied statistics: p-hacking, leakage, confounding, multiple comparisons • Preferred: Familiarity with cloud platforms (AWS, GCP, or Azure), data warehouses (Snowflake, BigQuery, Redshift), and MLOps practices such as experiment tracking and model versioning • Preferred: Experience with Git and collaborative, version-controlled workflows • Preferred: Prior experience with AI/ML data annotation, evaluation, or model-training projects • Self-direction and comfort working independently and asynchronously in a remote environment

🏖️ Benefits

• Competitive salary and performance-based bonuses • Flexible remote work environment • Professional growth opportunities and mentorship • Engaging and collaborative team culture with cutting-edge projects