Description:

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 include analyzing large datasets to identify trends, patterns, and actionable business insights, developing predictive and forecasting models for sales, demand, and customer behavior, and partnering with marketing, operations, and finance teams to support data-driven decision-making.
The Data Scientist will 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, and build and maintain ETL processes to collect and clean data from multiple sources.
The role requires applying machine learning and statistical techniques to solve complex business problems, ensuring data accuracy, consistency, and reliability, and communicating findings and recommendations to stakeholders in clear, actionable ways.
The candidate should stay up to date with emerging data science tools, technologies, and methodologies.

Requirements:

A Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field is required.
The candidate must have 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 is essential.
Experience with SQL and data manipulation in relational databases is required.
Hands-on experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch is necessary.
Knowledge of data visualization tools like Power BI, Tableau, or Looker Studio is expected.
A solid understanding of statistics, hypothesis testing, and regression modeling is required.
Excellent analytical and problem-solving skills with a business-oriented mindset are essential.
Strong communication skills and the ability to translate data insights into strategic recommendations are necessary.

The position offers remote work, allowing employees to work from anywhere, as the team is global and values work-life balance.
There are growth opportunities, as the candidate will have the chance to shape their role and grow with the company.
The company promotes an innovative culture, encouraging team members to leverage data to solve challenges and drive success in a rapidly evolving market.

Skills