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Data Scientist

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Description

Role & responsibilities :

Job Description

Role

Data Scientist

Experience

  • 5+ years of experience in Data Engineering or Data Analytics.
  • At least 2 years of experience leading and managing teams.

Technology Skills

  • Proficiency in Python, R, SQL.
  • Experience with visualization tools such as Tableau or Power BI.
  • Experience with predictive modeling, machine learning, and RAG (Retrieval-Augmented Generation) models.

Employment Type

Remote (Hybrid work model with occasional office visits)

Level

Mid-Senior

Location

To be specified

Responsibilities

  • Collect, clean, and prepare data from multiple sources.
  • Develop predictive models and machine learning algorithms.
  • Analyze data to identify trends, patterns, and business opportunities.
  • Create dashboards, reports, and visualizations to support decision-making.
  • Collaborate with cross-functional teams including IT, business, and marketing stakeholders.
  • Ensure ethical use of data and compliance with relevant regulations.

Required Qualifications

  • Bachelors degree in data science, Statistics, Computer Science, Mathematics, or a related field.
  • Hands-on experience with Python, R, SQL, and visualization tools such as Tableau or Power BI.
  • Experience with machine learning frameworks such as TensorFlow or PyTorch.
  • Strong analytical and problem-solving skills.
  • Ability to explain technical concepts to non-technical stakeholders effectively.

Preferred Qualifications

  • Experience working on Big Data projects using technologies such as Hadoop and Spark.
  • Experience with Dataiku and Cognite (highly preferred).
  • Professional certifications in Data Science or Machine Learning.
  • Knowledge of Agile methodologies.

Key Skills

Python | R | SQL | Machine Learning | Predictive Modeling | RAG Models | Tableau | Power BI | TensorFlow | PyTorch | Hadoop | Spark | Dataiku | Cognite | Data Analytics | Team Leadership



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