About the Role:
We’re seeking a highly analytical and technically capable Data Analyst to support our Artificial Intelligence (AI) initiatives. In this role, you’ll collaborate with data scientists, ML engineers, and product teams to analyze structured and unstructured data, support the training and evaluation of machine learning models, and help drive strategic decision-making around AI product performance.
Key Responsibilities:
- Analyze large-scale datasets to extract insights supporting AI model training, fine-tuning, and evaluation
- Monitor AI model performance across key metrics (accuracy, precision, recall, latency, fairness)
- Collaborate with ML engineers to support data labeling, preprocessing, and quality assurance workflows
- Build dashboards and reports to track AI system health, user interaction patterns, and deployment outcomes
- Help design A/B tests and experiments to evaluate AI product enhancements
- Assist in curating datasets for supervised learning, natural language processing, computer vision, or recommendation engines
- Translate complex results into actionable insights for business and product teams
Required Qualifications:
- Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field
- 2–5 years of experience in data analysis, preferably in AI/ML, tech, or analytics-heavy environments
- Proficient in SQL and Python (Pandas, NumPy, etc.); familiarity with Jupyter notebooks
- Experience with data visualization tools (e.g., Tableau, Power BI, Looker, Plotly)
- Strong understanding of machine learning fundamentals and common performance metrics
- Excellent problem-solving and communication skills
Preferred Qualifications:
- Experience working with unstructured data (text, image, audio)
- Exposure to tools and frameworks like TensorFlow, PyTorch, Hugging Face, or OpenAI APIs
- Familiarity with MLOps platforms (e.g., MLflow, Weights & Biases, SageMaker, Vertex AI)
- Knowledge of bias detection, explainability (XAI), or responsible AI practices
- Understanding of data pipelines and cloud environments (AWS, GCP, Azure)
What We Offer:
- Competitive salary, bonus, and equity options
- Health, vision, and dental coverage
- Remote flexibility with cutting-edge tech tools
- Learning & development budget, including AI/ML certifications
- Opportunity to work on impactful AI products used by thousands or millions
How to Apply:
📩 Please send your resume and a short cover letter to: ai-analytics@[yourcompany].com
Subject: Data Analyst – AI – [Your Name]
🗓️ Deadline: Applications reviewed on a rolling basis