
Data Science Leader
3 days ago
Norla AB Overview:
Norla is an IT and management consulting company driven by customer satisfaction and guided by our principle of 'Mind and Heart.'
Our Multicultural Environment:
We prioritize relationships with employees to ensure their professional growth and success.
About the Job:
We're seeking a skilled Senior Data Scientist to collaborate with our client's team and help build data-driven solutions that transform operations and provide value to customers.
Key Responsibilities:
- Develop advanced machine learning, deep learning, and statistical models to solve complex business problems.
- Design, implement, and manage end-to-end MLOps pipelines using Kedro, MLflow, and Prometheus for scalable machine learning operations.
- Develop A/B tests and other experiment designs to measure and optimize business strategies.
- Collaborate with data engineering and product teams to design and implement robust data pipelines and BI dashboards using SQL and Tableau.
- Leverage cloud platforms (AWS, GCP) to build, deploy, and scale machine learning models.
- Analyze large datasets from e-commerce and retail platforms to extract insights and support decision-making processes.
Requirements:
- Minimum 5 years of hands-on experience in data science, machine learning, and deep learning.
- Strong expertise in Python and machine learning libraries like Scikit-learn and PyTorch.
- Experience in working with Natural Language Processing (NLP) and Large Language Models (LLMs) such as LangChain.
- Proficient in building machine learning pipelines and deploying models using Kedro and MLflow.
- Solid understanding of time series forecasting, A/B testing, and advanced statistical techniques.
- Proficient in SQL and experience working with BI tools like Tableau.
- Experience in working with cloud platforms like AWS and GCP for data and model deployment.
- Strong analytical skills with experience in solving complex business problems, preferably within the e-commerce or retail sectors.
Desired Qualifications:
- Prior experience in e-commerce or retail industries is highly beneficial.
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