Advanced Data Science Professional
6 days ago
**Job Title:** Advanced Data Science Professional
At Antal International, we are seeking a highly skilled Senior Data Scientist to join our team. The ideal candidate will possess strong proficiency in Python and a deep understanding of statistical methods and machine learning algorithms.
**Estimated Salary:** $120,000 - $180,000 per annum
**Job Description:
We are seeking a seasoned Senior Data Scientist with over 6 years of experience in the field of Data Science. Your key responsibilities will include designing and developing innovative data solutions that drive business decisions and enhance our data capabilities.
**Key Responsibilities:*
1. Develop and implement robust machine learning models, including clustering, regression, and classification algorithms.
2. Design and architect neural networks for complex problem-solving.
3. Conduct statistical analyses and linear expressions to derive insights from data.
4. Utilize Natural Language Processing (NLP) techniques such as word embeddings, tokenization, semantic and syntactic analysis, and lemmatization.
5. Work with tensors, vectors, and matrices to manipulate and analyze data.
6. Leverage the Hugging Face library and BERT for advanced NLP applications.
7. Strong foundation in mathematics and statistics, with experience in statistical analysis, predictive modeling, and exploratory data analysis.
8. Strong organizational and leadership skills, with the ability to mentor junior team members
9. A business mindset and experience in data-driven decision-making processes.
10. Proven experience as a data scientist or similar role, with hands-on experience with large-scale projects.
**Requirements:**
To be successful in this role, you will need a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. You should also have at least 5 years of experience in Data Science, with a strong portfolio of projects demonstrating your expertise.
**Preferred Qualifications:**
We would prefer candidates with experience working with large datasets and cloud-based data solutions, familiarity with data engineering concepts and tools, and experience in leading the development of predictive models and machine learning algorithms.
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