Data Scientist
Xapiens Teknologi Indonesia
- Contract
- Hybrid • Tangerang Selatan
- Rp7.000.000 – 13.000.000
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Job Description
- Develop and implement machine learning models for time series forecasting
- Work on NLP projects, including speech-to-text applications
- Assist in building and maintaining conversational AI systems
- Process and analyze data to extract meaningful insights
- Create and maintain data pipelines
- Develop clear documentation and reports
- Collaborate with team members on code review and implementation
- Participate in the full project lifecycle, from conception to deployment
Requirements
- Bachelor's degree in Computer Science, Statistics, Mathematics, or related field
- 1-2 years of professional experience in data science or related field
- Strong programming skills in Python
- Proficiency with common data science libraries (pandas, numpy, scikit-learn)
- Basic understanding of SQL
- Familiarity with version control (Git)
- Strong analytical and problem-solving skills
- Good communication skills
- Eagerness to learn and adapt to new technologies
Relevant Technical Areas:
- Time Series Analysis & Forecasting
- Natural Language Processing (NLP)
- Speech-to-Text Processing
- Large Language Models and RAG (Retrieval-Augmented Generation)
- Machine Learning & Deep Learning
- Data Analytics and Visualization
Preferred Qualifications
Experience with any of the following:
- Time series libraries (Prophet, statsmodels)
- NLP libraries (NLTK, spaCy, transformers)
- Speech processing libraries (librosa, SpeechRecognition)
- LLM frameworks (LangChain, LlamaIndex)
- Basic understanding of deep learning frameworks (PyTorch or TensorFlow)
- Experience with data visualization tools
- Familiarity with cloud platforms (AWS, GCP, or Azure)
- Previous internship or project experience in related areas
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Xapiens (part of Indika Energy Group) is a strategic technology solutions company with a wide range of products and services.
We support our clients in creating, optimizing, and aligning their digital assets and allow for better collaboration and access across departments, partners, vendors, products, and people.
Our resources contain strong technology talents with mostly more than 5-10 years of expertise and experience in various technology industries.
