Performance Analyst
We are seeking a highly skilled and detail-oriented AI Performance Analyst to join our data science team. As an AI Performance Analyst at ContactAI, you will be responsible for analyzing the performance of our AI-driven LinkedIn outreach automation platform. You’ll work on gathering, analyzing, and interpreting large datasets to extract actionable insights that improve our AI models and support data-driven decision-making. You will collaborate with cross-functional teams to identify business requirements, develop performance metrics, and create visualizations and reports that showcase the effectiveness of our AI in B2B networking. Your role will involve conducting statistical analysis, performing data cleansing and validation, and presenting findings to stakeholders to continuously enhance our AI’s capabilities.
Responsibilities:
- Collaborate with AI engineers and product managers to understand AI model requirements and performance objectives.
- Extract, transform, and load data from our LinkedIn outreach platform and client campaigns for analysis.
- Conduct exploratory data analysis to identify patterns, trends, and outliers in AI-driven outreach performance.
- Apply statistical methods to analyze datasets and perform hypothesis testing on AI model improvements.
- Develop and maintain dashboards and reports using visualization tools to showcase AI performance metrics.
- Identify data quality issues, implement data cleansing techniques, and ensure accuracy of AI training data.
- Collaborate with engineering teams to optimize AI model performance and data integration processes.
- Stay updated on industry trends in AI, machine learning, and B2B networking strategies.
- Present findings and insights on AI performance to stakeholders through clear and concise reports.
- Contribute to AI governance initiatives, including model documentation and ethical AI practices.
Requirements:
- Bachelor’s or master’s degree in a relevant field such as data science, AI, machine learning, or computer science.
- Proven experience in data analysis, particularly in the context of AI and machine learning models.
- Proficiency in SQL and data querying languages for large-scale data analysis.
- Strong knowledge of data visualization tools such as Tableau, Power BI, or similar.
- Experience with Python or R for data manipulation, analysis, and machine learning tasks.
- Familiarity with NLP concepts and techniques, particularly in the context of message personalization.
- Excellent analytical and problem-solving skills with a focus on AI performance optimization.
- Strong attention to detail and the ability to work with complex, multi-dimensional datasets.
- Effective communication skills to convey complex AI concepts to non-technical stakeholders.
- Ability to work independently and collaboratively in a remote team environment.
- Understanding of LinkedIn’s platform and B2B networking strategies is a plus.