Job Description
Role: Data Science & Machine Learning – Other
Industry Type: Miscellaneous
Department: Data Science & Analytics
Employment Type: Full Time, Permanent
Role Category: Data Science & Machine Learning
Job description
Qualifications:
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
Roles and Responsibilities
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.
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