Remote Data Scientist / Analyst

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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 gathering, cleaning, and preprocessing large and complex datasets.
  • You will conduct in-depth exploratory data analysis (EDA) to uncover insights and patterns.
  • You will create and engineer relevant features to improve model performance.
  • You will develop, train, and evaluate machine learning models, including classification, regression, clustering, and time series analysis.
  • You will deploy models into production environments, ensuring scalability and reliability.
  • You will continuously monitor model performance and make necessary adjustments.
  • You will create clear and informative visualizations to communicate insights to both technical and non-technical audiences.
  • You will work closely with cross-functional teams, including engineers, product managers, and business analysts.

Requirements:

  • Strong proficiency in Python or R programming languages is required.
  • Strong proficiency in SQL is required.
  • Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn is required.
  • A solid understanding of statistical concepts and data mining techniques is required.
  • Experience with data visualization tools like Tableau, PowerBI, or Matplotlib is required.
  • Excellent problem-solving and analytical skills are required.
  • Preferred experience includes familiarity with our tech stack and working with data in each (amplitude and stripe, followed by domo, segment, braze).
  • Experience with cloud platforms (AWS, GCP, Azure) is preferred.
  • Knowledge of big data technologies (Hadoop, Spark) is preferred.
  • Experience with natural language processing (NLP) or computer vision is preferred.
  • A strong understanding of business needs and how data can drive business decisions is preferred.

Benefits:

  • Remote working is offered.
  • Flexible working arrangements are available.
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