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Job Overview:

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.

What’s For The Candidate:

• Competitive salary based on experience.
• Opportunities for professional development and career growth.
• A collaborative and dynamic work environment.

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.

Job Location: Remote/Hybrid/In-Office

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