S-C Global Network - AI - Hi Tech - Data Science Analyst

Job Description:

We are looking for a highly motivated and skilled Data Science Analyst to lead innovative and high-impact projects across sectors like Consumer Tech, Enterprise Tech, and Semiconductors. This role requires a unique blend of data engineering, data science, and generative AI expertise, combined with hands-on experience in building scalable data infrastructure and delivering AI-driven solutions.

Responsibilities

Generative AI Expertise
- Fine-tune models for NLP, Computer Vision, and multimodal applications using GenAI tools
- Implement model evaluation metrics like BLEU, ROUGE, FID
- Architect GenAI deployment solutions, including API development and integration
Data Science & Engineering
- Design and maintain ETL/ELT pipelines and scalable data infrastructure
- Work with structured and unstructured data from diverse sources
- Collaborate with cross-functional teams to gather and understand data requirements
- Optimize data systems for performance, scalability, and reliability
- Monitor data quality and uphold data governance and compliance
- Maintain data models, metadata, and best practices in data engineering
Technical Skills
- Languages & Frameworks: Python, SQL, Scala or Java, scikit-learn, TensorFlow or PyTorch
- Data Tools: Pandas, NumPy, Matplotlib, Seaborn
- Big Data: Spark, Hive
- Cloud Platforms: AWS (S3, Redshift), GCP (BigQuery), Azure (Data Lake)
- MLOps & GenAI Tools: LangChain, LlamaIndex, Hugging Face Transformers, FAISS, Pinecone
- Orchestration: Apache Airflow, DBT, Luigi
- Version Control & CI/CD: Git, modern DevOps practices
- Containerization & IaC: Docker, Kubernetes, Terraform, CloudFormation
- Data Warehousing: Strong knowledge of concepts and modeling techniques
Preferred Experience
- Working with modern data stack: dbt, Snowflake, Databricks
- Hands-on with CI/CD pipelines and version control systems
- Exposure to infrastructure-as-code and cloud-native architectures