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About the role
- 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.
Requirements
- 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.
Benefits
- Remote Work: Work from anywhere—our team is global, and we value work-life balance.
- Growth Opportunities: As a key player i 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.*
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analysispredictive modelingforecasting modelsmachine learningstatistical techniquesSQLdata manipulationA/B testingdata visualizationregression modeling
Soft Skills
analytical skillsproblem-solving skillscommunication skillsbusiness-oriented mindset