Data Science Practitioner
KeySkills
Company Name
Job Description
Job Description:
Design, develop, and deliver AI/ML-based decision-making frameworks and predictive models that drive measurable business outcomes. Evaluate and justify the value of AI/ML-based solutions.
Roles & Responsibilities:
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Work independently and become a subject matter expert (SME).
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Actively participate in team discussions and solution design.
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Analyze complex datasets to generate actionable insights.
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Collaborate with stakeholders to gather project requirements and define deliverables.
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Present findings and insights using visualizations and reports.
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Evaluate AI/ML models for business impact and continuously improve solution accuracy and performance.
Must-Have Skills:
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Proficiency in Data Science
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Strong knowledge of machine learning algorithms and their real-world applications
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Hands-on experience with Python or R for data manipulation and analysis
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Ability to work with large datasets and apply statistical analysis
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Proficiency in data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn)
Good-to-Have Skills:
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Experience with cloud platforms (AWS, Azure, GCP)
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Knowledge of MLOps practices and version control (e.g., Git)
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Familiarity with deep learning frameworks like TensorFlow or PyTorch
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