
Lead Data Insights Specialist
2 weeks ago
We extract valuable insights from structured and unstructured data to inform business decision-making strategies.
From start to finish, we engage in machine learning and data analytics activities, including data manipulation, feature engineering, model development, and evaluation.
We continually research and implement new machine learning approaches to provide accurate and actionable information for business decisions.
Collaboration and CommunicationWe work closely with cross-functional teams to analyze, extract, standardize, and label relevant data.
We perform tasks such as data preprocessing, feature engineering, and data normalization to train and optimize machine learning models.
We utilize business intelligence tools to prepare reports, analyze data, and create visualizations.
Requirements- At least 3-5 years of experience in data analytics and machine learning.
- Familiarity with popular machine learning frameworks and libraries like TensorFlow, PyTorch, Scikit-learn, Pandas, and NumPy.
- Proficiency in writing production-quality code in Python, with a solid understanding of object-oriented programming principles.
- Proven ability to analyze and work with large datasets.
- Familiarity with various business intelligence tools.
- Expertise in applying both supervised and unsupervised learning techniques.
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