Remote Data Scientist

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.

Benefits:

• 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.