Data Exploration and Analysis: Conduct in-depth exploratory data analysis (EDA) to uncover patterns, trends, and insights within the given datasets.
Data Preprocessing and Cleaning: Prepare data for analysis by cleaning, transforming, and integrating data from various sources.
Model Development: Build and evaluate statistical and machine learning models to address specific OOH measurement challenges.
Experimentation: Design and execute experiments to test hypotheses and validate model performance.
Data Visualization: Create clear and informative visualizations to communicate findings to both technical and non-technical audiences.
Collaboration: Work closely with cross-functional teams, including data engineers, IoT engineers, and product managers to deliver actionable insights.
Stay Updated: Keep abreast of the latest advancements in data science, machine learning, and OOH measurement technologies.
Job Requirements:
Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
Strong foundation in statistical methods and probability.
Proficiency in programming languages such as Python or R.
Experience with data manipulation and analysis using libraries like Pandas, NumPyFamiliarity with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
Basic understanding of machine learning concepts and algorithms.
Excellent problem-solving and analytical skills.
Strong attention to detail and accuracy.
Ability to work independently and as part of a team.
Passion for data and a desire to learn and grow.
Experience with big data technologies and tools (e.g., Hadoop, Spark).
Knowledge of media industry and measurement concepts.
Exposure to computer vision and image processing techniques.
Experience with time series analysis and forecasting.