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, developing predictive models, partnering with various teams, designing A/B tests, creating data dashboards, building ETL processes, applying machine learning techniques, ensuring data accuracy, communicating findings, and staying updated with emerging tools and methodologies.

Requirements:

A Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field is required.
Candidates 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 necessary.
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 essential.
Knowledge of data visualization tools like Power BI, Tableau, or Looker Studio is required.
A solid understanding of statistics, hypothesis testing, and regression modeling is necessary.
Excellent analytical and problem-solving skills with a business-oriented mindset are required.
Strong communication skills and the ability to translate data insights into strategic recommendations are essential.

Remote work allows employees to work from anywhere, promoting a global team environment and valuing work-life balance.
There are growth opportunities as a key player, allowing individuals to shape their roles and grow with the company.
The company fosters an innovative culture, encouraging team members to leverage data to solve challenges and drive success in a rapidly evolving market.

Skills