Data Scientist

Job Summary:

The Data Scientist plays a critical role in leveraging data to drive insights and inform decision-making across the agency. They utilize their expertise in statistical analysis, machine learning, and data visualization to uncover trends, optimize campaigns, and deliver measurable results for clients.

Key Responsibilities:

• Data Collection and Analysis: Gather and analyze large datasets from various sources (e.g., campaign performance data, audience demographics, market trends) to identify patterns, trends, and actionable insights.
• Model Development: Develop and implement machine learning models to predict campaign outcomes, optimize media spend allocation, and personalize user experiences.
• Data Visualization: Create compelling data visualizations and dashboards to communicate complex findings clearly and effectively to stakeholders.
• Experimentation and A/B Testing: Design and conduct experiments to test hypotheses, evaluate the effectiveness of different media strategies, and optimize campaign performance.
• Collaboration: Work closely with media planners, buyers, and strategists to integrate data-driven insights into campaign planning and execution.
• Innovation: Stay abreast of the latest advancements in data science and machine learning, and identify opportunities to apply new technologies to enhance agency capabilities.
• Client Communication: Present data-driven insights and recommendations to clients, explaining complex concepts in a clear and concise manner.

Qualifications:

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field.
• 3+ years of experience in data science, preferably in a marketing or advertising context.
• Strong proficiency in Python or R, and relevant data science libraries (e.g., pandas, scikit-learn, TensorFlow).
• Experience with SQL or other query languages for data manipulation and extraction.
• Familiarity with cloud computing platforms (e.g., AWS, Google Cloud) and big data technologies (e.g., Hadoop, Spark).
• Excellent communication and presentation skills, with the ability to translate complex data insights into actionable recommendations.
• Intellectual curiosity, a passion for problem-solving, and a drive to continuously learn and improve.

Preferred Qualifications:

• Experience in media or advertising industry.
• Familiarity with ad serving platforms and marketing analytics tools.
• Expertise in deep learning or other advanced machine learning techniques.
• Experience with natural language processing or computer vision.
• This role is a great opportunity for someone passionate about using data to drive business results. The ideal candidate will be a self-starter, a team player, and a creative problem solver who thrives in a fast-paced, dynamic environment.