Senior Data Architect
2 months ago
PBT Group: Data Science Innovation
We are seeking a skilled Senior Data Scientist to enhance our data-driven decision-making processes. This role requires expertise in Python programming, cloud platforms (AWS or Azure), and Generative AI concepts.
- Lead the development and implementation of data science models, including machine learning, deep learning, and statistical models.
- Design, develop, and optimize end-to-end data pipelines to extract, transform, and load data for analysis.
- Collaborate with cross-functional teams to identify and deliver impactful data insights that influence business decisions.
- Apply advanced machine learning techniques, including natural language processing, predictive modeling, and optimization.
- Stay abreast of the latest developments in Generative AI and evaluate its potential applications within the organization.
- Mentor junior data scientists and data engineers, providing guidance on best practices and model development.
- Work with large datasets to build predictive models and perform data-driven decision-making.
- Deploy and manage machine learning models in production environments on cloud platforms (AWS or Azure).
- Collaborate with stakeholders to define project objectives, scope, and deliverables.
Requirements
- Bachelor's or Master's degree in Data Science, Mathematics, Computer Science, Statistics, or a related field.
- 5+ years of experience in data science, machine learning, or a related role.
- Proficiency in Python for data analysis, machine learning, and statistical modeling.
- Experience with cloud technologies such as AWS or Azure for building and deploying models.
- Strong experience with SQL for querying databases and manipulating data.
- Experience working with libraries and frameworks such as Pandas, NumPy, Scikit-learn, and TensorFlow or PyTorch.
- Solid understanding of machine learning algorithms, including regression, classification, clustering, and deep learning.
- Familiarity with Generative AI and its applications will be an added advantage.
- Experience in data visualization tools such as PowerBI, Tableau, or Matplotlib.
- Excellent problem-solving skills and ability to communicate complex ideas effectively to both technical and non-technical stakeholders.
Preferred Qualifications
- Experience with CI/CD pipelines for machine learning models.
- Strong understanding of MLOps and managing machine learning lifecycle in production environments.
- Certification in AWS or Azure (e.g., AWS Certified Machine Learning Specialty, Microsoft Azure AI Engineer Associate).
- Familiarity with natural language processing (NLP) and deep learning models.
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