Mackinlay - Data Scientist - Machine Learning/Predictive Modeling
1 month ago
Key Responsibilities :
- Conduct in-depth analysis of large and complex datasets to identify patterns, trends, and insights.
- Develop and deploy machine learning models to solve various business problems, including predictive modeling, classification, clustering, and anomaly detection.
- Apply NLP techniques to extract information from text data, such as sentiment analysis, text classification, and information extraction.
- Identify and automate repetitive tasks using RPA to improve efficiency and accuracy.
- Work with data engineers to design and implement data pipelines and data infrastructure.
- Collaborate with business stakeholders and technical teams to understand requirements and deliver data-driven solutions.
Required Skills and Experience :
- 5+ years of experience in applying machine learning techniques, including artificial neural networks and deep learning.
- Strong knowledge of statistics and statistical analysis methods.
- Experience with various data storage technologies, including data warehouses, data lakes, graph databases, NoSQL, and clustering.
- Proficiency in data cleaning, preprocessing, and transformation.
- Solid software engineering skills, including coding, optimization, and deployment.
- Familiarity with cloud platforms like AWS and Azure, including serverless computing and machine learning tools.
Desired Skills and Experience :
- ML Engineering: Experience in deploying machine learning models into production environments.
- ML Operations: Knowledge of ML operations practices, including model monitoring, retraining, and governance.
- Domain Expertise: Experience in a specific domain (e.g., finance, healthcare, marketing) is a plus.
- Data Visualization: Proficiency in data visualization tools to communicate insights effectively
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