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["Artificial Intelligence","Mental Health","Healthcare Technology","SaaS"]

Full Stack Data Scientist

San Francisco, California, United StatesRemoteFull TimePosted 2 months ago

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Role summary

MHAYA.ai is seeking a Full Stack Data Scientist for a full-time remote position. The role involves collecting and analyzing large datasets, developing predictive models and machine learning algorithms, and creating visualizations to communicate insights. The Data Scientist will collaborate with cross-functional teams to identify business opportunities and deliver data-driven solutions, leveraging GenAI and ResponsibleAI principles. A Bachelor's degree in a related field and strong programming skills in Python and SQL are required, along with experience in data manipulation, statistical analysis, machine learning, and data visualization tools. Experience with deep learning frameworks and cloud platforms is also beneficial.

Company Description

Helping enterprises leverage the power of GenAI and ResponsibleAI to rapidly identify high quality diverse & inclusive talent. Visit our website to learn more about our AI powered D&I recruitment platform MHAYA.

Role Description

This is a full-time remote role for a Full Stack Data Scientist at MHAYA.ai. As a Full Stack Data Scientist, you will be responsible for collecting and analyzing large datasets, developing and implementing predictive models and machine learning algorithms, and creating visualizations and reports to communicate insights to stakeholders. You will collaborate closely with cross-functional teams to identify business opportunities and provide data-driven solutions.

Qualifications

  • Strong programming skills in Python and proficiency in SQL
  • Experience with data manipulation, cleaning, and preprocessing
  • Knowledge of statistical analysis, predictive modeling, and machine learning algorithms
  • Experience with data visualization tools and libraries, such as Tableau or Matplotlib
  • Experience with deep learning frameworks, such as TensorFlow or PyTorch
  • Strong problem-solving and analytical skills
  • Excellent communication and collaboration skills
  • Bachelor's degree or higher in Computer Science, Data Science, Statistics, or a related field
  • Experience with cloud platforms, such as AWS or Azure, is a plus
  • Experience with big data technologies, such as Hadoop or Spark, is a plus
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