Data Scientist
Data Scientist
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Job Description
About Us:
We are a forwardthinking company specializing in Data science data analytics web design and development AI powered solutions. We are looking for a motivated and analytical Data Science Intern to join our growing team. This is an excellent opportunity for individuals interested in gaining handson experience in data analysis machine learning and datadriven decisionmaking while working remotely with industry professionals.
Key Responsibilities:
Assist in data collection cleaning and preprocessing for analysis and model building.
Work with large datasets to identify patterns trends and insights.
Help build and test machine learning models for predictive analysis classification or regression tasks.
Assist in the development of dashboards and visualizations to communicate datadriven insights to stakeholders.
Support the team in performing statistical analysis and hypothesis testing.
Collaborate with data engineers and business teams to understand and refine data requirements.
Document processes code and findings clearly to ensure reproducibility and knowledge sharing.
Stay updated on new data science techniques tools and technologies.
Requirements:
Currently pursuing a degree in Data Science Computer Science Statistics Mathematics or a related field or equivalent practical experience.
Proficiency in programming languages such as Python or R.
Familiarity with data manipulation and analysis libraries (e.g. Pandas NumPy SciPy).
Basic understanding of machine learning algorithms and frameworks (e.g. Scikitlearn TensorFlow Keras).
Knowledge of SQL for querying databases and working with structured data.
Strong problemsolving and analytical skills.
Excellent communication skills both written and verbal.
A strong desire to learn and a keen interest in data science.
Nice to Have:
Experience with data visualization tools (e.g. Tableau Power BI Matplotlib Seaborn).
Familiarity with deep learning concepts and frameworks (e.g. PyTorch TensorFlow).
Experience with cloud platforms (e.g. AWS Google Cloud) or big data tools (e.g. Hadoop Spark).
Understanding of statistical analysis and A/B testing.
Experience with version control systems like Git.
Benefits:
A remotefirst flexible work environment.
Mentorship and guidance from experienced data scientists.
Handson experience with realworld data science projects.
Exposure to cuttingedge tools and techniques in data science.
Opportunity to enhance your portfolio and skill set.
Potential for fulltime employment after the internship.
Employment Type
Full Time
