As a Data Scientist proficient in R, your role involves leveraging statistical and analytical techniques to extract valuable insights from complex datasets. You will collaborate with cross-functional teams to inform strategic decisions and drive business outcomes.

Key Responsibilities:

Data Collection and Preprocessing: Gather and clean data from various sources, ensuring accuracy and consistency for analysis.

Statistical Analysis: Apply statistical methods to identify trends, patterns, and relationships within the data.

Model Development: Build and validate predictive models using machine learning algorithms to forecast outcomes and inform decision-making.

Data Visualization: Create clear and compelling visualizations to communicate findings to both technical and non-technical stakeholders.

Collaboration: Work closely with business units and IT teams to understand objectives and deliver data-driven solutions.

Required Skills:

Proficiency in R: Extensive experience with R for data analysis, including packages like dplyr, ggplot2, and caret.

Statistical Expertise: Strong understanding of statistical analysis, hypothesis testing, and experimental design.

Machine Learning Knowledge: Familiarity with machine learning algorithms and their applications.

Data Visualization: Ability to present data insights effectively using visualization tools.

Communication Skills: Proven ability to convey complex data insights in a clear and actionable manner.