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Data Scientist / Analyst

Soul Machines Ltd

N/A


Job Details

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Full Job Description

We are seeking a talented Data Scientist/Analyst to join our team. You will play a critical role in driving data-driven decision-making and product innovation. Your responsibilities will include:

Key Responsibilities:

  • Data Collection and Cleaning: Gather, clean, and preprocess large and complex datasets.
  • Exploratory Data Analysis (EDA): Conduct in-depth EDA to uncover insights and patterns.
  • Feature Engineering: Create and engineer relevant features to improve model performance.
  • Model Development and Training: Develop, train, and evaluate machine learning models, including classification, regression, clustering, and time series analysis.
  • Model Deployment: Deploy models into production environments, ensuring scalability and reliability.
  • Model Monitoring and Optimization: Continuously monitor model performance and make necessary adjustments.
  • Data Visualization: Create clear and informative visualizations to communicate insights to both technical and non-technical audiences.
  • Collaboration: Work closely with cross-functional teams, including engineers, product managers, and business analysts.

Requirements

  • Strong proficiency in Python or R programming languages.
  • Strong proficiency in SQL 
  • Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
  • Solid understanding of statistical concepts and data mining techniques.
  • Experience with data visualization tools like Tableau, PowerBI, or Matplotlib.
  • Excellent problem-solving and analytical skills.

Preferred Experience

  • Experience with our tech stack and working with the data in each would be preferred (amplitude and stripe, followed by domo, segment, braze)
  • Experience with cloud platforms (AWS, GCP, Azure).
  • Knowledge of big data technologies (Hadoop, Spark).
  • Experience with natural language processing (NLP) or computer vision.
  • A strong understanding of business needs and how data can drive business decisions.

Benefits

  • Remote Working
  • Flexible working arrangements

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