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Senior Data Scientist

extra holidays - fully flexible
Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

5+ years of experience in data science or machine learning., Strong proficiency in Python, R, and data manipulation libraries like Pandas and NumPy., Hands-on experience with machine learning frameworks such as TensorFlow and PyTorch., Advanced degree in Data Science, Statistics, or Computer Science is preferred..

Key responsabilities:

  • Lead the design and implementation of complex data science models.
  • Collaborate with cross-functional teams to identify data-driven business solutions.
  • Conduct statistical analysis to inform strategic decisions.
  • Mentor junior data scientists and promote a culture of continuous learning.

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MLabs Fintech: Finance + Technology Scaleup https://www.mlabs.city/
51 - 200 Employees
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Job description

Our client is actively seeking a highly skilled and experienced Senior Data Scientist to join our innovative team. The ideal candidate will possess a deep understanding of data science methodologies and machine learning techniques, with a strong commitment to driving impactful business solutions through data-driven insights.

Responsibilities:

  • Lead the design, development, and implementation of complex data science models that support business objectives and enhance operational efficiency.
  • Work closely with cross-functional teams, including product managers, engineers, and stakeholders, to identify opportunities for leveraging data to drive business solutions.
  • Conduct statistical analysis and interpret results to inform strategic decisions and optimize processes.
  • Collaborate with team members to create predictive models and machine learning algorithms that can be integrated into existing products and systems.
  • Mentor and guide junior data scientists, fostering a culture of knowledge-sharing and continuous learning.
  • Stay up-to-date with the latest advancements in data science and machine learning, and apply best practices to projects.

Requirements

  • 5+ years of experience in data science, machine learning, or a related field.
  • Strong proficiency in programming languages such as Python, R, or similar, with experience in data manipulation libraries (e.g., Pandas, NumPy).
  • Hands-on experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
  • Solid understanding of statistical analysis and predictive modeling techniques.
  • Experience working with large datasets and data visualization tools (e.g., Tableau, Matplotlib, Seaborn).
  • Excellent problem-solving skills and the ability to communicate complex ideas effectively to stakeholders.
  • Advanced degree (Master’s or Ph.D.) in Data Science, Statistics, Computer Science, or a related field is preferred.

Benefits

  • A supportive team environment where you can grow and make a real impact.
  • A competitive compensation package tailored to your experience and qualifications.
  • Flexible work arrangements to support work-life balance.
  • Continuous learning and development opportunities to ensure you stay at the cutting edge of AI.

How to Apply: Please apply if you think you would be suitable for this role. We look forward to your application and the opportunity to welcome you to our team.

Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Fintech: Finance + Technology
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Communication
  • Problem Solving

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