Note: The job is a remote job and is open to candidates in USA. Dice is a recruiter offering a long-term contract opportunity for an Entry-Level Data Scientist. The role supports data analysis, machine learning, and predictive modeling initiatives by analyzing large datasets, developing models, performing data preparation, and communicating findings to technical and business stakeholders.
Responsibilities
- Analyze and interpret structured and unstructured datasets to identify trends and insights
- Develop and evaluate **machine learning and predictive models**
- Perform data cleaning, preprocessing, feature engineering, and exploratory data analysis
- Write **Python and SQL** code for data analysis and modeling
- Create data visualizations and communicate findings to technical and business teams
- Collaborate with data engineers, developers, and business stakeholders
- Test, validate, and improve model performance
- Document analysis, methodologies, and results
Skills
- 2+ years of experience in Data Science, Analytics, or Machine Learning, including internships or academic projects
- Strong knowledge of Python, SQL, Pandas, and NumPy
- Basic understanding of Statistics, Machine Learning, and Predictive Modeling
- Experience with data cleaning, preprocessing, and exploratory data analysis
- Familiarity with Scikit-learn or similar ML libraries
- Strong analytical and problem-solving skills
- Exposure to TensorFlow or PyTorch
- Knowledge of NLP or Generative AI is a plus
- Familiarity with Power BI, Tableau, or other visualization tools
- Exposure to AWS, Azure, or Google Cloud Platform
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field
Benefits
- Remote work arrangement
- Long-term contract
Company Overview
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