Senior Data Scientist

Responsibilities:

Data Analysis & Modeling:

- Perform in-depth data analysis to uncover hidden patterns and trends.

- Design and implement insightful statistical models to solve complex business problems.

- Participate in the development and improvement of data pipelines for efficient data access and processing.

Data Visualization & Communication:

- Create compelling and informative data visualizations to communicate findings effectively to stakeholders.

- Present complex data insights in a clear, concise, and actionable manner.

- Partner with cross-functional teams to translate data insights into tangible business strategies.

Analytical & Problem-Solving Skills:

- Utilize strong analytical and problem-solving skills to identify critical business questions and translate them into data-driven solutions.

- Stay up-to-date on the latest advancements in data science and analytics tools.

Qualifications:

- Master's degree or Ph. in Data Science, Statistics, Computer Science, or a related field (preferred).

- Minimum 2+ years of experience as a Data Scientist or similar role.

- Strong foundation in data analysis methodologies, statistical modeling (e., regression, machine learning), and hypothesis testing.

- Proficiency in data visualization tools (e., Tableau, Power BI) and programming languages (e. , Python, R).

- Excellent communication and presentation skills with the ability to explain complex data findings to technical and non-technical audiences.

- Experience collaborating effectively with cross-functional teams (e., business, engineering).

- A strong curiosity and passion for exploring and uncovering insights from data