Data Science Engineer
Data Science Engineer
Posted on :
22-08-2025
Employer Active
1 Vacancy
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Job Description
About the Role
We are seeking a highly skilled Data Science Engineer with 5 years of experience to join our clients fast-growing SaaS business. The ideal candidate will work at the intersection of data engineering machine learning and product development building scalable data solutions that power business decisions and enhance product performance.
Key Responsibilities
- Design develop and maintain data pipelines and ETL processes for large-scale data.
- Build train and deploy machine learning models to solve business problems and optimize SaaS product features.
- Collaborate with product engineering and business teams to translate requirements into data-driven solutions.
- Perform statistical analysis predictive modeling and A/B testing to generate insights.
- Ensure data accuracy quality and governance across all systems.
- Implement and optimize data storage retrieval and real-time processing solutions.
- Monitor model performance and continuously improve algorithms.
- Document processes models and best practices for reproducibility.
Key Requirements
- 5 years of experience as a Data Science Engineer / Machine Learning Engineer.
- Strong proficiency in Python SQL and ML frameworks (TensorFlow PyTorch Scikit-learn).
- Hands-on experience with big data technologies (Spark Hadoop Kafka) and cloud platforms (AWS GCP Azure).
- Deep understanding of statistical modeling data mining and predictive analytics.
- Experience with data pipelines and workflow orchestration tools (Airflow Luigi Prefect).
- Strong problem-solving and analytical skills with the ability to work in fast-paced SaaS environments.
- Excellent communication skills to present findings to both technical and non-technical stakeholders.
Nice to Have
- Exposure to NLP recommendation systems or deep learning applications.
- Prior experience in scaling SaaS platforms using AI/ML.
- Familiarity with MLOps tools (MLflow Kubeflow Docker Kubernetes).
What We Offer
- Opportunity to work with a fast-growing SaaS company at the forefront of innovation.
- A dynamic environment where your work directly impacts product growth and customer success.
- Career growth in advanced data science AI and product engineering.
Employment Type
FULL_TIME
Key Skills
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