Data Scientist

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Data Scientist

6 month FTC

Location: Eindhoven (onsite 3 days per week)

Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.

About the Role

We are looking for a highly motivated and skilled Data Scientist to join our team. The ideal candidate will have a strong background in data science, machine learning, and statistical analysis, with hands-on experience in Python and industry-standard libraries. You will be responsible for deriving actionable insights, building predictive models, and effectively communicating findings through data storytelling.

Key Responsibilities 

• Develop, implement, and optimize machine learning models for predictive analytics and decision-making.

• Work with structured and unstructured data to extract meaningful insights and patterns.

• Utilize Python and standard data science libraries such as NumPy, Pandas, SciPy, Scikit-Learn, TensorFlow, PyTorch, and Matplotlib for data analysis and model building.

• Design and develop data pipelines for efficient processing and analysis.

• Conduct exploratory data analysis (EDA) to identify trends and anomalies.

• Collaborate with cross-functional teams to integrate data-driven solutions into business strategies.

• Use data visualization and storytelling techniques to communicate complex findings to non-technical stakeholders.

• Stay updated with the latest advancements in machine learning and AI technologies.

Required Qualifications 

• Minimum 3 years of hands-on experience in data science and machine learning.

• Experience in working on Linux Environment

• Strong proficiency in Python and relevant data science packages.

• Expertise in statistical analysis, hypothesis testing, and feature engineering.

• Understanding of segmentation and classification models.

• Experience in data visualization tools such as Matplotlib, Seaborn, or Plotly package

• Strong problem-solving skills and ability to work with large datasets.

• Excellent communication skills with a knack for storytelling using data.

Preferred Qualifications

Knowledge of big data technologies like Hadoop, Spark, or Databricks.

Exposure to NLP, computer vision, or deep learning techniques.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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