Data Analyst
3 weeks ago
We are on the hunt for a skilled Data Scientist to bolster our innovative team at ProArch. The ideal candidate will be responsible for designing and implementing predictive models, analyzing complex datasets, and possessing a working knowledge of statistics, mathematics, and data science programming languages (e.g., SQL, R, Python). Additionally, the successful candidate will have executed multiple projects taking ML concepts to production.
Key Responsibilities:- Collaborate with stakeholders to identify key metrics and opportunities for improving business processes, products, and services.
- Perform exploratory data analysis (EDA) to uncover insights.
- Develop expertise in natural language processing (NLP) and natural language generation (NLG).
- Stay up-to-date with large language models (LLM) and its techniques, such as RAG, RLHF, and Prompt Tuning.
- Understand machine learning operations (ML Ops), LLM Ops, and/or feature management operations (FM Ops).
- Design, train, and implement machine learning algorithms.
- Leverage ensemble techniques to create high-performing ML models.
- Bachelor's degree in data science, data analytics, or a related field.
- Master's degree or Ph.D. in a quantitative field, such as statistics, computer science, mathematics, or engineering.
- Proficiency in Python, R, C#, Java, or Kotlin.
- Knowledge of data science toolkits such as R, NumPy, and MatLab.
- Experience with big data analytics technologies such as Spark/Databricks and Hadoop.
- Experience with data visualization tools such as PowerBI and Tableau.
- Expertise in data mining and machine learning.
- Working knowledge of statistical models and business intelligence.
- Familiarity with cloud-based infrastructure.
- Ability to store and process unstructured data with NoSQL databases and machine learning models.
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