cult.fit Data Science Intern
cult.fit Data Science Intern
Job Description:
Qualifications
● A Bachelor's or Master's degree in data science, computer science, statistics, mathematics, or a related discipline is what the individual is now pursuing.
● Excellent R or Python programming abilities.
● Proficient working with pandas, NumPy, and scikit-learn libraries for data analysis and manipulation.
● Mastery of statistical techniques and machine learning algorithms.
● Expertise with programs such as Tableau, Seaborn, or Matplotlib for data visualization.
● Excellent critical thinking and problem-solving abilities.
● Superb teamwork and communication skills.
● Excellent R or Python programming abilities.
● Proficient working with pandas, NumPy, and scikit-learn libraries for data analysis and manipulation.
● Mastery of statistical techniques and machine learning algorithms.
● Expertise with programs such as Tableau, Seaborn, or Matplotlib for data visualization.
● Excellent critical thinking and problem-solving abilities.
● Superb teamwork and communication skills.
Additional Qualifications:
● Knowledge about the wellness and health sector.
● Should Proficient working in large-scale data technologies, such Spark or Hadoop.
● Proficient with deep learning frameworks such as PyTorch or TensorFlow.
● Knowledge of cloud computing platforms like Azur, Google Cloud, or AWS
● Should Proficient working in large-scale data technologies, such Spark or Hadoop.
● Proficient with deep learning frameworks such as PyTorch or TensorFlow.
● Knowledge of cloud computing platforms like Azur, Google Cloud, or AWS
Mandatory Skills:
Tensorflow, Pytorch, Spark, Hadoop, Natural Language Processing, Data Science, Machine Learning, and Deep Learning
Major Key responsibilities include:
● Participate in the gathering, cleansing, and preprocessing of sizable datasets pertaining to mental, physical, and nutritional health.
● Use exploratory data analysis (EDA) to find patterns and trends that could lead to better services and products.
● Create, apply, and assess machine learning models to improve user interaction and experience.
● Work all together with cross-functional teams to achieve business needs and offer data-driven perspectives.
● Produce reports and visualizations to inform stakeholders of findings in an efficient manner.
● Use exploratory data analysis (EDA) to find patterns and trends that could lead to better services and products.
● Create, apply, and assess machine learning models to improve user interaction and experience.
● Work all together with cross-functional teams to achieve business needs and offer data-driven perspectives.
● Produce reports and visualizations to inform stakeholders of findings in an efficient manner.
● Must Keep abreast on the most recent developments in data science and health analytics, including tools, approaches, and industry trends.
Location
Bangalore, India.
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