Remote Data Scientist: ML & AI for Business Insights

Carbon Data Solutions; United States; Presencial; USD 110.000 - 180.000; Jornada completa

Descripción de la vacante

Carbon Data Solutions seeks a Data Scientist to turn complex data into actionable insights. You will build predictive models, apply ML/AI to real business problems, and partner with product, engineering, BI, and marketing teams to translate needs into analytics.

You will deploy models, monitor performance, and communicate findings to non-technical stakeholders. The role emphasizes data pipelines, strong Python/SQL skills, and experience on cloud platforms.

Formación

• 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.
• Ability to communicate technical findings to business stakeholders.
• Professional English proficiency (B2+/C1 preferred).
• Ability to work independently in a remote, multicultural environment.

Responsabilidades

• 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, BI, Marketing, and Executives to translate problems into analytics.
• Design and maintain data pipelines, feature engineering processes, and model monitoring frameworks.
• Develop dashboards, reports, and visualizations to communicate insights to stakeholders.
• Conduct A/B testing, hypothesis testing, forecasting, and statistical modeling.
• Optimize data quality, model performance, and automation processes.
• Stay current with emerging AI/ML data science technologies and best practices.

Conocimientos

Data Science

Machine Learning

Predictive Analytics

Statistical Modeling

Data Mining

Feature Engineering

Forecasting

Time Series Analysis

A/B Testing

Data Visualization

Business Analytics

NLP

Recommendation Systems

Deep Learning

AI Model Development

Data Storytelling

Model Deployment

Model Monitoring

Data-Driven Decision Making

Educación

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Artificial Intelligence, or a related field

Master's degree in Data Science, Statistics, AI, Computer Science, or a related discipline

Herramientas

Python

SQL

R

PySpark

Scala

Git

Jupyter Notebook

Google Colab

Scikit-learn

TensorFlow

PyTorch

XGBoost

LightGBM

OpenAI API

LangChain

Hugging Face

MLflow

AWS

Azure

GCP

Databricks

Snowflake

BigQuery

Power BI

Tableau

Looker

Descripción del empleo

Carbon Data Solutions seeks a Data Scientist to turn complex data into actionable insights. You will build predictive models, apply ML/AI to real business problems, and partner with product, engineering, BI, and marketing teams to translate needs into analytics.

You will deploy models, monitor performance, and communicate findings to non-technical stakeholders. The role emphasizes data pipelines, strong Python/SQL skills, and experience on cloud platforms.