Job description for Middle Data Scientist at Celerates
Responsibilities:
- Clean, transform, and prepare large datasets to ensure data quality and usability for analysis and modeling.
- Perform exploratory data analysis (EDA), feature engineering, and statistical analysis to uncover trends and generate business insights.
- Design, develop, evaluate, and optimize machine learning models for predictive and analytical use cases.
- Collaborate with cross-functional teams to translate business requirements into data-driven solutions and present findings to stakeholders.
Requirements:
- Bachelor's/Master's degree in Mathematics, Statistics, Computer Science, Information Technology, Engineering, or a related field.
- 2–4 years of experience in Data Science, Machine Learning, or a related role.
- Strong experience in data cleansing, data wrangling, exploratory data analysis (EDA), and statistical analysis.
- Hands-on experience with feature engineering, machine learning techniques (classification, regression, clustering, anomaly detection, forecasting), and model evaluation/optimization.
- Proficient in developing and documenting data science solutions using best programming practices.
- Strong analytical, problem-solving, and communication skills with the ability to present insights to both technical and non-technical stakeholders.
