Data Science Engineer Resume

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Data Science Engineer Resume

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What should I put on my resume for Data Science Engineer?
Your data science engineer resume should highlight your technical skills in programming languages and data analysis tools, as well as experience in building and maintaining data systems. Emphasize any projects or solutions you've developed that demonstrate your ability to effectively apply data science methods to real-world problems. Additionally, include any relevant degrees, certifications, or experience in data science, machine learning, statistics, or related fields.
What are the key characteristics of an effective Data Science Engineer?
An effective data science engineer should have strong technical skills in programming, data analysis, and machine learning, as well as experience in building and maintaining data systems. They should be able to collaborate effectively with data scientists and stakeholders to understand and solve real-world problems using data. Additionally, they should have a good understanding of software engineering practices and be able to design and implement scalable and efficient solutions.
What type of job path can one expect to have as a Data Science Engineer?
A career as a data science engineer can start with roles such as data analyst or data engineer, and progress to positions such as senior data scientist, machine learning engineer, or AI engineer. Opportunities exist in various industries such as finance, healthcare, retail, and technology, as well as with consulting firms and data-focused startups. With experience and expertise, one may also specialize in areas such as deep learning or natural language processing.

Charles Bloomberg

• New York City, New York • • in/cbloomberg




Master of Science in Biology - Data Science focus | New York University | 2020


Machine Learning: Python (scikit-learn, pandas, NumPy), keras, TensorFlow, Pytorch, Spark MLlib
Data Visualization Tools: Tableau, R Studio, Power BI, Latex, Advance Excel