Data Science Engineer - Python

Role Overview :

We are seeking a highly skilled Data Science Engineer to join our analytics and machine learning team.
The ideal candidate will be responsible for building and deploying scalable data pipelines and ML models, collaborating closely with data scientists, analysts, and engineers to turn data into actionable insights and AI solutions.

Key Responsibilities :

- Design, develop, and deploy machine learning models for real-world business problems

- Build scalable data pipelines to extract, transform, and load (ETL) large datasets from multiple sources

- Work closely with data scientists to productionize models and monitor their performance

- Implement model training, validation, and inference workflows using best practices

- Optimize algorithms and data workflows for performance, scalability, and cost-efficiency

- Collaborate with engineering and product teams to integrate ML solutions into applications

- Conduct data analysis and exploratory data mining to support experimentation and insight generation

- Maintain high-quality documentation and versioning of models, datasets, and code

Required Technical Skills :

- Proficiency in Python and key libraries : NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn

- Experience with deep learning frameworks : TensorFlow, PyTorch, or Keras

- Strong knowledge of SQL and experience with data query optimization

- Hands-on experience with big data technologies : Spark, Hadoop, Kafka, Airflow

- Solid understanding of ML concepts : supervised/unsupervised learning, regression, classification, clustering, NLP

- Familiarity with MLOps tools : MLflow, Kubeflow, Docker, Kubernetes, Jenkins

- Experience working with cloud platforms : AWS, GCP, or Azure (e.g., SageMaker, Vertex AI)

- Good understanding of APIs and model deployment strategies (RESTful APIs, Flask, FastAPI)

Preferred Skills :

- Experience with data visualization tools like Tableau, Power BI, or Plotly

- Knowledge of feature engineering, hyperparameter tuning, and cross-validation techniques

- Exposure to A/B testing and experimental design

- Working experience with data versioning tools like DVC

- Familiarity with CI/CD pipelines for model deployment

Qualifications :

- Bachelors or Masters degree in Computer Science, Data Science, Statistics, or related field

- 37 years of professional experience in data science or data engineering roles

- Strong problem-solving and communication skills

- Ability to work in a fast-paced, collaborative environment

What We Offer :

- Competitive salary and performance-based incentives

- Opportunity to work with cutting-edge ML technologies

- Cross-functional collaboration with data, product, and engineering teams

- Learning and development programs for continuous growth

- Flexible working arrangements and a supportive work culture