Data Scientist - Digital Analytics

About the Opportunity:

• Schedule: Monday to Friday

• Hours: Standard business

• Setting: Hybrid (At least 3 days a week onsite)

Responsibilities:

• Analyze digital customer behavior to identify patterns in engagement, adoption, and experience.

• Perform exploratory and statistical analysis to evaluate digital experiences and support data-driven decisions.

• Partner with product, technology, and business stakeholders to translate questions into analytical solutions.

• Develop, automate, and maintain analytical solutions that deliver actionable business insights.

• Apply NLP, text analytics, and AI-assisted techniques to summarize feedback, identify sentiment, and surface friction points.

Qualifications:

• 1 to 5 years of experience in data science, business intelligence, analytics, statistical analysis, or a related field.

• Bachelor's degree in Data Science, Business Analytics, Statistics, Applied Mathematics, Economics, or a related quantitative discipline.

• Proficiency with SQL for data extraction and analysis.

• Proficiency with Python for data preparation, exploratory analysis, statistical analysis, and modeling.

• Experience applying analytical and statistical methods such as EDA, hypothesis testing, regression, forecasting, segmentation, clustering, experimentation, NLP, or sentiment analysis.

• Experience translating analytical findings into actionable insights, recommendations, or measurable business outcomes.

• Comfortable working in notebook-based analytical environments.

• Strong curiosity and ability to learn new analytical methods and technologies quickly.

• Excellent communication and data storytelling skills.

Desired Skills:

• Master's degree in Data Science, Business Analytics, Statistics, Applied Mathematics, Economics, or a related quantitative field.

• Experience analyzing customer behavior, digital products, customer feedback, or customer experience.