Junior Data Scientist
2 months ago
Job Description :
As a Junior Data Scientist, you will play a crucial role in analyzing complex datasets, developing machine learning models, and deriving actionable insights to drive business decisions. You will work closely with senior data scientists and cross-functional teams to solve challenging problems and contribute to the advancement of data-driven initiatives.
Responsibilities :
- Collect, clean, and preprocess large datasets from various sources to ensure data quality and integrity.
- Perform exploratory data analysis to identify patterns, trends, and anomalies.
- Develop and implement machine learning models for predictive analytics, classification, clustering, and regression tasks.
- Evaluate model performance using appropriate metrics and techniques, and iterate on model improvements.
- Collaborate with software engineers to deploy models into production environments and integrate them into scalable systems.
- Utilize statistical techniques and methodologies to derive actionable insights and recommendations.
- Communicate findings and results to technical and non-technical stakeholders through reports, visualizations, and presentations.
- Stay updated on the latest advancements in data science, machine learning, and related technologies.
- Contribute to the development and maintenance of data pipelines, tools, and infrastructure.
Requirements :
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or related field.
- Strong proficiency in programming languages such as Python or R.
- Experience with data manipulation and analysis libraries such as Pandas, NumPy, and scikit-learn.
- Knowledge of machine learning algorithms and frameworks, and practical experience in model development and evaluation.
- Familiarity with database systems and SQL for data extraction and manipulation.
- Excellent analytical and problem-solving skills, with attention to detail.
- Strong communication and interpersonal skills, with the ability to collaborate effectively in a team environment.
- Ability to work independently, manage multiple tasks, and meet deadlines.
- Previous internship or project experience in data science or related field is a plus
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