Senior Data Scientist

2 days ago


Stockholm, Stockholm, Sweden Norla AB Full time

About Norla:

Norla is an IT and management consulting company driven by customer satisfaction. We work in a multicultural environment and are guided by our principle of "Mind and Heart." We prioritize that our relationships with our employees ensure their professional growth and success. Together, we collaborate with a network of major actors to discover the best talents to support our clients.

About the role:

We're looking for a skilled Senior Data Scientist to join our client´s team and help them build data-driven solutions that will transform their way we operate and provide value to customers. You will collaborate with cross-functional teams, working on projects that push the boundaries of data science, machine learning, and AI.

Key Responsibilities:

  • Lead and 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.

Required Skills & Experience:

  • 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.

Preferred Qualifications:

  • Prior experience in e-commerce or retail industries is highly meriting.
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