Data Science Intern


  • Full Time

Job Description

● Currently pursuing a Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

● Strong programming skills in Python or R.

● Experience with data manipulation and analysis using libraries such as pandas, NumPy, and scikit-learn.

● Familiarity with machine learning algorithms and statistical methods.

● Proficiency in data visualization tools like Matplotlib, Seaborn, or Tableau.

● Strong analytical and problem-solving skills.

● Excellent communication and teamwork abilities.

Preferred Qualifications:

● Understanding of the health and wellness industry.

● Experience with big data technologies such as Hadoop or Spark.

● Knowledge of deep learning frameworks like TensorFlow or PyTorch.

● Familiarity with cloud platforms such as AWS, Google Cloud, or Azur
Skills Required
Machine Learning, data science, python, Deep Learning, Natural Language Processing, Pytorch, spark, hadoop, Tensorflow
Key Responsibilities:

● Assist in the collection, cleaning, and preprocessing of large datasets related to fitness, nutrition, and mental wellness.

● Conduct exploratory data analysis (EDA) to identify trends and patterns that can drive product and service improvements.

● Develop, implement, and evaluate machine learning models to enhance user experience and engagement.

● Collaborate with cross-functional teams to understand business requirements and provide data-driven insights.

● Create visualizations and reports to effectively communicate findings to stakeholders.

● Stay up-to-date with the latest industry trends, tools, and techniques in data science and health analytics.

Job Overview