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2 weeks ago
About Devsinc
">- We are Devsinc, a cutting-edge technology company dedicated to delivering innovative solutions that drive business growth.
Data Scientist Job Description
">As a Data Scientist with 6 months - 1.5 years of experience, you will play a key role in developing and deploying machine learning models to address specific business challenges. Your responsibilities will include:
">Main Responsibilities
">- Design, develop, and deploy machine learning models: This includes data preprocessing, feature engineering, model selection, training, and validation.
- Perform exploratory data analysis: Uncover hidden patterns, correlations, and insights within structured and unstructured data. Utilize these findings to refine ML models and approaches.
- Engage with cross-functional teams: Collaborate with data scientists, engineers, and business stakeholders to refine data requirements and deliver ML-driven solutions.
- Create clear visualizations: Represent the outcomes of ML models and analyses through clear and concise visualizations. Prepare comprehensive reports and presentations that translate complex ML concepts and findings into actionable business insights.
- Pursue learning opportunities: Actively seek out advanced machine learning techniques and algorithms. Incorporate cutting-edge research and tools into projects to enhance model performance and efficiency.
- Develop prototypes: Assist in the development of prototypes for predictive models and other ML applications, testing their effectiveness in real-world scenarios.
- Cross-functional application of insights: Look for opportunities to use insights/datasets/code/models across other functions in the organization.
- Clear communication: Maintain clear and coherent communication, both verbal and written, to understand data needs and report results.
Requirements and Qualifications
">- You have 6 months - 1.5 years of experience as a data scientist.
- You have a strong foundation in machine learning techniques.
- You have an analytical mindset for unraveling complex data puzzles.
- You are eager to apply your knowledge to solve real-world challenges.
