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Job Purpose
We are seeking a Data Scientist to spearhead multiple high-impact Machine Learning initiatives in collaboration with our business teams. This role plays a pivotal part in addressing strategic challenges aligned with company OKRs, enhancing our products, and creating measurable business impact using advanced Data Science methods and systems applied to unstructured, large-scale, and diverse Big Data sources.
As a trusted advisor to senior leadership, you will actively contribute to strategic decision-making, provide forward-thinking data guidance, and ensure our analytics capabilities drive competitive advantage. You will also be accountable for resource allocation, project prioritization, and leading teams towards delivering exceptional outcomes.
Key Accountabilities
1. Data Solutioning
.2. Data Insighting
3. Project Management
.4. Talent Development
Key Relationships
Direct Manager: Head / Director, Data Science
Success Profile — Qualifications & Experience
Qualification: Master's degree or higher in Statistics, Mathematics, Computer Science, or related quantitative fields
Experience & Skills
Experience: 5+ years in data analytics, ML/DL development, and deploying models on large-scale data
Business Problem Solving
Analytics
Machine Learning
Technical Skills
Stakeholder Management: Strong communication and stakeholder management skills, including senior leadership
Leadership & Delivery
Strategic Thinking: Ability to connect technology with business strategy and outcomes.
Why Join us
At Techcombank, you will have the resources of a leading bank and the opportunity to directly shape data-driven strategies that impact tens of millions of customers.
We offer:
Job ID: 152115197
Skills:
tokenization , Tensorflow, Pytorch, Docker, Python, AWS, Gcp, Azure, Kubernetes, LLM-based systems, embeddings, pgvector, RAGAS, Pinecone, Vector Databases, transformer architectures, Agentic frameworks, semantic search, Cloud MLOps, TruLens, CrewAI, LangChain, AutoGen, RAG, Milvus, Weaviate, LlamaIndex
Skills:
data engineering , Java, Python, R, Cloud Data Architecture, Data Mining Techniques, Prompt Engineering, Statistical Methods, Data Pipeline Development
Skills:
Machine Learning, Pandas, MLops, Unit Testing, Python, scikit-learn, Statistics
Skills:
Java, Machine Learning, C, Scala, Data Mining, Tableau, Sql, Deep Learning, Data Visualization, Agile Software Development, Python, Statistical Models, R, Data Analysis
Skills:
Python, Sql, Data Science, Analytics, company scorecards, business review processes, business intelligence, KPI systems, performance frameworks