Data Science Intern

CULTFIT; Bengaluru; Sur place; INR 700 000 - 1 200 000; Plein temps

Résumé du poste

CULTFIT is seeking a Data Science & Machine Learning-focused candidate to join our Data Science & Analytics team in Bengaluru. You will work on collecting, cleaning, and preprocessing large wellness datasets related to fitness, nutrition, and mental wellness.

You will perform EDA to uncover trends, build and evaluate ML models, and collaborate with cross-functional teams to translate insights into product enhancements. Strong Python/R programming and visualization skills are essential.

Qualifications

• Pursuing a Bachelor's or Master's in Data Science, CS, Statistics, Mathematics, or related field.
• Strong programming skills in Python or R.
• Experience with data manipulation and analysis using 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.

Responsabilités

• Assist in collection, cleaning, and preprocessing of large datasets related to fitness, nutrition, and mental wellness.
• Conduct exploratory data analysis (EDA) to identify trends and patterns for product/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 communicate findings to stakeholders.
• Stay up-to-date with latest industry trends, tools, and techniques in data science and health analytics.

Connaissances

Python

R

Pandas

NumPy

Scikit-learn

ML algorithms

Tableau

Matplotlib

Seaborn

Statistics

Communication

Teamwork

Formation

Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics

Outils

Pandas

NumPy

Scikit-learn

Tableau

Matplotlib

Seaborn

TensorFlow

PyTorch

Hadoop

Spark

AWS

Google Cloud

Azure

Description du poste

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.