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Data Scientist

8 hours, 55 minutes ago
Serbia
Full-time
Mid Level
Data Scientist
Data Science and Analytics
CRM Facebook Ads GCP Google Ads Google Analytics Machine Learning Power BI Python PyTorch R Scikit-learn Shopify Snowflake SQL Statistics Tableau TensorFlow
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lago

lago

lago connects talented individuals from emerging markets with high-quality remote job opportunities, facilitating professional growth and increased earnings for both workers and agencies.

Professional Services
View All Jobs 53

Description

  • 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, finance, and other cross-functional teams to support data-driven decisions.
  • Design and implement A/B tests for marketing campaigns, product changes, and pricing strategies.
  • Create and maintain dashboards and automated reporting pipelines to track business KPIs.
  • Build and maintain ETL processes to collect and clean data from sources such as Shopify, Google Analytics, and CRM systems.
  • 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 terms.
  • Stay current 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 in a 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 such as scikit-learn, TensorFlow, or PyTorch.
  • Knowledge of data visualization tools such as 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.
  • Experience with eCommerce platforms such as Shopify, Magento, or Amazon Seller Central, preferred.
  • Familiarity with customer segmentation, LTV prediction, and churn modeling, preferred.
  • Understanding of digital marketing analytics including Meta Ads, Google Ads, GA4, and attribution modeling, preferred.
  • Experience with cloud data tools such as BigQuery, Snowflake, or AWS Redshift, preferred.
  • Exposure to A/B testing tools and experimentation frameworks, preferred.

Benefits

  • Remote work from anywhere with a global team.
  • Work-life balance supported by a remote-first setup.
  • Opportunities to shape the role and grow with the company.
  • Join an innovative, data-driven culture focused on solving business challenges.
  • USD salary that is negotiable based on experience.
  • Set working hours of 9am–6pm Eastern Time.

Interested in this position?

Apply directly on the company website

Apply Now

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