Data Science Team Lead

3 days ago

Stockholm, Stockholm, Sweden Norla AB Full time

About Norla:

Norla is a leading IT and management consulting company committed to delivering exceptional service to our clients. Our multicultural environment is built on the principle of 'Mind and Heart,' which guides our interactions with employees and drives their professional growth and success. We partner with major actors to identify top talent who can drive business growth.

About the role:

We are seeking an experienced Senior Data Scientist to join our client's team and help them develop innovative data-driven solutions that drive business transformation and enhance customer value. This role involves collaborating with cross-functional teams to design and implement cutting-edge data science, machine learning, and AI solutions.

Key Responsibilities:

  • Develop advanced machine learning, deep learning, and statistical models to address complex business challenges.
  • 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.
  • Deploy machine learning models using cloud platforms (AWS, GCP).
  • Analyze large datasets from e-commerce and retail platforms to extract insights and inform business decisions.

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 desirable.

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