Associate Software Engineer, Data Science
Devsinc
PythonPyTorchScikit-LearnSQLTensorflow
Associate Software Engineer - Data Science
Devsinc
full-time
Posted on:
Origin: • 🇵🇰 Pakistan
Visit company websiteJob Level
JuniorMid-Level
Tech Stack
PythonPyTorchScikit-LearnSQLTensorflow
About the role
- Design, develop, and deploy machine learning models including data preprocessing, feature engineering, model selection, training, and validation.
- Perform exploratory data analysis to uncover patterns, correlations, and insights in structured and unstructured data and refine ML approaches.
- Engage with multidisciplinary teams of data scientists, engineers, and business stakeholders to refine data requirements and deliver ML-driven solutions.
- Create visualizations and prepare reports and presentations to translate ML concepts into actionable business insights.
- Pursue learning opportunities in advanced ML techniques and incorporate cutting-edge research and tools to improve performance.
- Assist in development of prototypes for predictive models and test their effectiveness in real-world scenarios.
- Apply insights/datasets/code/models across other functions (for example HR and marketing) where applicable.
- Maintain clear verbal and written communication to understand data needs and report results.
- Stay curious and enthusiastic about using algorithms to solve problems and promote the benefits of ML work.
Requirements
- Bachelor’s degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or a related field with significant coursework or projects in machine learning.
- A minimum of 6 months - 1.5 years of experience in machine learning or data science, with a portfolio demonstrating projects in ML model development, data analysis, and feature engineering.
- Solid proficiency in ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and programming languages such as Python.
- Experience with SQL and familiarity with data visualization libraries (e.g., Seaborn, ggplot2).
- Exceptional skills in analyzing complex data sets to develop ML models that effectively address business needs.
- Strong ability to communicate complex ML concepts and the results of analyses clearly to both technical and non-technical stakeholders.
- Demonstrated ability to work effectively in a team, showing adaptability and openness to feedback.
