Data Scientist

Lago; A distancia; MXN 400,000 - 600,000; Jornada completa

Descripción de la vacante

A leading data-driven company is seeking a Data Scientist to analyze large datasets and derive actionable insights. In this remote role, you will develop predictive models and automate reporting, collaborating with cross-functional teams to enhance customer retention and optimize ad spends. Ideal candidates possess a degree in a relevant field and 2-5 years of data science experience, demonstrating proficiency in Python, SQL, and machine learning tools. Opportunities for professional growth are available, emphasizing a supportive and innovative company culture.

Servicios

Work from anywhere

Growth opportunities

Innovative culture

Formación

• 2–5 years of experience as a Data Scientist, Data Analyst, or similar role.
• Strong proficiency in data analysis and modeling using Python or R.
• Hands-on experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch.

Responsabilidades

• Analyze large datasets to identify trends and actionable insights.
• Develop predictive models for sales and customer behavior.
• Design A/B tests to evaluate strategies.

Conocimientos

Data analysis

Machine Learning

Statistical analysis

ETL Processes

SQL

Communication

Educación

Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics

Herramientas

Python

R

Power BI

Tableau

scikit-learn

TensorFlow

PyTorch

Descripción del empleo

Role: Data Scientist
Hours: 9am - 6pm Eastern Time (Remote)
USD Salary: negotiable based on experience

The Data Scientist will be responsible for collecting, analyzing, and interpreting large datasets to generate actionable insights for marketing, operations, and product strategy. This role involves developing predictive models, automating reporting pipelines, and partnering with cross-functional teams to improve customer retention, optimize ad spend, and streamline operations.

The ideal candidate is passionate about data‑driven growth, skilled in statistical analysis and machine learning, and experienced in working with eCommerce datasets.

Responsibilities

• Analyze large datasets to identify trends, patterns, and actionable business insights.
• Develop predictive and forecasting models for sales, demand, and customer behavior.
• Partner with marketing, operations, and finance teams to support data‑driven decision‑making.
• Design and implement A/B tests to evaluate marketing campaigns, product changes, or pricing strategies.
• Create and maintain data dashboards and automated reports to track business KPIs.
• Build and maintain ETL processes to collect and clean data from multiple sources (e.g., Shopify, Google Analytics, CRM, etc.).
• Apply machine learning and statistical techniques to solve complex business problems.
• Work with engineers and analysts to ensure data accuracy, consistency, and reliability.
• Communicate findings and recommendations to stakeholders in clear, actionable ways.
• Stay up to date with emerging data science tools, technologies, and methodologies.

Qualifications

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
• 2–5 years of experience as a Data Scientist, Data Analyst, or similar role (preferably in eCommerce, retail, or consumer analytics).
• Strong proficiency in Python or R for data analysis and modeling.
• Experience with SQL and data manipulation in relational databases.
• Hands‑on experience with machine learning frameworks (scikit‑learn, TensorFlow, PyTorch, etc.).
• Knowledge of data visualization tools (Power BI, Tableau, or Looker Studio).
• Solid understanding of statistics, hypothesis testing, and regression modeling.
• Excellent analytical and problem‑solving skills with a business‑oriented mindset.
• Strong communication skills and ability to translate data insights into strategic recommendations.

Preferred Skills (Nice to Have)

• Experience with eCommerce platforms (Shopify, Magento, Amazon Seller Central, etc.).
• Familiarity with customer segmentation, LTV prediction, and churn modeling.
• Understanding of digital marketing analytics (Meta Ads, Google Ads, GA4, attribution modeling).
• Experience with cloud data tools (BigQuery, Snowflake, AWS Redshift).
• Exposure to A/B testing tools and experimentation frameworks.

Other Details

• Remote Work: Work from anywhere—our team is global, and we value work‑life balance.
• Growth Opportunities: As a key player you’ll have the chance to shape your role and grow with us.
• Innovative Culture: Join a team that is passionate about leveraging data to solve challenges and drive success in a rapidly evolving market.

As part of our recruitment process, all candidates are kindly asked to read, understand, and agree to Lago’s Confidentiality and Non‑Circumvention Agreement. This ensures a respectful and professional experience for everyone involved.