- Company Name
- Ehub Global Inc
- Job Title
- Data Science Engineer/Data Scientist
- Job Description
-
Job title: Data Science Engineer / Data Scientist
Role Summary: Design, build, and deploy end‑to‑end data science solutions that translate business requirements into actionable insights and production‑ready machine‑learning models.
Expactations: Minimum 2–3 years of professional experience in data science or analytics, proven ability to implement scalable ML pipelines and collaborate across engineering, product, and stakeholder teams.
Key Responsibilities:
- Develop, test, and deploy predictive models, statistical algorithms, and machine‑learning pipelines.
- Collect, clean, and preprocess structured and unstructured data from varied sources to ensure data quality.
- Conduct exploratory data analysis to uncover trends, correlations, and actionable insights.
- Engineer features, train and evaluate models, and optimize for accuracy, scalability, and performance.
- Implement full data workflows, including feature engineering, model training, evaluation, and production deployment.
- Build reusable code modules, APIs, and model‑serving components for production use.
- Monitor model performance post‑deployment, detect drift, and iterate to improve accuracy.
- Ensure adherence to data governance, security, and compliance standards.
- Produce technical documentation, reports, and presentations to communicate findings and solutions.
Required Skills:
- Proficiency in Python (pandas, NumPy, scikit‑learn, TensorFlow/PyTorch).
- Strong SQL and data manipulation skills.
- Experience designing and implementing ML pipelines with Docker, Kubeflow, Airflow, or similar orchestration tools.
- Knowledge of feature engineering, model evaluation metrics, and hyperparameter optimization.
- Ability to develop and expose ML models via REST APIs or microservices.
- Familiarity with model monitoring, logging, and alerting (e.g., Prometheus, Grafana).
- Solid understanding of data governance, privacy, and compliance frameworks.
- Excellent communication and teamwork skills.
Required Education & Certifications:
- Bachelor’s degree in Computer Science, Data Science, Statistics, Engineering, or related field.
- Optional certifications in data science, machine learning, or cloud platforms (AWS/GCP/Azure).