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Senior Data Scientist

unlimited holidays - extra holidays - extra parental leave - long remote period allowed
Remote: 
Full Remote
Experience: 
Senior (5-10 years)
Work from: 

Offer summary

Qualifications:

Master's or PhD in Computer Science, Statistics, Mathematics or related field, Minimum 5 years industry experience as data scientist, Strong knowledge in machine learning, statistical modeling, data mining, Proficiency in Python or R for analysis and modeling, Experience with big data technologies like Hadoop, Spark, or SQL.

Key responsabilities:

  • Lead development of data science projects including problem formulation, analysis, modeling, and deployment
  • Collaborate with teams to identify business opportunities for data projects
  • Develop machine learning algorithms to solve complex business problems
  • Perform exploratory data analysis to gain insights from large datasets
  • Stay up-to-date with latest data science and machine learning advancements
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Creative Chaos SME https://www.creativechaos.co/
201 - 500 Employees
See more Creative Chaos offers

Job description

Job Brief:
We are seeking a highly skilled Data Scientist to join our dynamic team. The ideal candidate will have a strong background in data analysis, machine learning, and statistical modeling. You will be responsible for analyzing large datasets to uncover trends and insights, building predictive models, and contributing to data-driven decision-making processes.

Duties and Responsibilities:

  • Lead the development and execution of data science projects, including problem formulation, data collection, analysis, modeling, and deployment of machine learning models.
  • Collaborate with cross-functional teams to identify business opportunities and translate them into data science projects.
  • Develop and implement machine learning algorithms and statistical models to solve complex business problems.
  • Perform exploratory data analysis to gain insights and identify patterns in large and complex datasets.
  • Work with data engineers to build robust and scalable data pipelines.
  • Evaluate and validate models using appropriate performance metrics and statistical techniques.
  • Present findings and insights to stakeholders in a clear and concise manner.
  • Stay up-to-date with the latest advancements and best practices in data science and machine learning.
  • Mentor and guide more junior data scientists in the team.

Requirements

  • Master's or PhD in Computer Science, Statistics, Mathematics, or a related field.
  • Minimum of 5 years of industry experience as a data scientist.
  • Strong knowledge and experience in machine learning, statistical modeling, and data mining.
  • Proficiency in Python or R for data analysis and modeling.
  • Experience with big data technologies such as Hadoop, Spark, or SQL.
  • Experience with deep learning frameworks such as TensorFlow or PyTorch is a plus.
  • Strong problem-solving and critical-thinking skills.
  • Excellent communication and presentation skills.
  • Ability to work effectively in cross-functional teams.
  • Strong attention to detail and ability to work on multiple projects simultaneously.

Required profile

Experience

Level of experience: Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Problem Solving
  • Communication
  • Critical Thinking
  • Presentations
  • Detail Oriented

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