Senior Data Science Engineer
2 weeks ago
Key Responsibilities:
- Design, develop, and deploy scalable machine learning models and algorithms.
- Build robust data pipelines for large-scale data processing and transformation.
- Collaborate with data engineers, software developers, and business stakeholders to define requirements and deliver solutions.
- Perform exploratory data analysis (EDA), feature engineering, and model optimization.
- Implement MLOps practices for continuous integration and deployment of ML models.
- Ensure high-quality data governance, version control, and reproducibility of experiments.
- Translate complex datasets into clear insights and data visualizations for business stakeholders.
- Mentor junior data scientists and contribute to best practices within the team.
Required Skills & Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or related field.
- 4–6 years of professional experience in data science, ML engineering, or applied machine learning.
- Strong proficiency in Python/R and relevant libraries (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
- Experience with SQL and working with relational/non-relational databases.
- Hands-on experience with data engineering tools (Spark, Hadoop, Airflow, Kafka, etc.).
- Proven expertise in machine learning, statistical modeling, and deep learning techniques.
- Familiarity with MLOps tools and practices (MLflow, Kubeflow, Docker, Kubernetes, CI/CD pipelines).
- Experience with cloud platforms (AWS, GCP, Azure) for data science workflows.
- Strong problem-solving, analytical, and communication skills.
Preferred Qualifications:
- Experience in natural language processing (NLP) or computer vision projects.
- Knowledge of big data ecosystems and distributed computing.
- Familiarity with business intelligence tools (Tableau, Power BI, Looker).
- Prior experience in mentoring or leading junior engineers/data scientists.
Job Type: Full-time
Application Question(s):
- Are you comfortable with the onsite setting?
Experience:
- Data Science : 4 years (Required)
Location:
- Lahore (Required)
Work Location: In person
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