Data Scientist II
About The Position
Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or a related field Minimum of 2 years of professional data science (or similar) experience; candidates with advanced degrees in relevant fields may be considered eligible, with advanced degrees being considered in lieu of industry experience Excellent proficiency in Python programming language as well as experience in other languages (e.g. R, Matlab, Julia, Javascript, C++, Java, etc.) Solid experience with data analysis and visualization tools such as Pandas, NumPy, Matplotlib, Streamlit, Plotly, Seaborn, Scipy, or similar Excellent familiarity with machine learning frameworks and libraries such as PyTorch, Scikit-learn, TensorFlow, or similar Basic understanding of statistical modeling, machine learning algorithms, and predictive analytics techniques Basic understanding of database management systems Strong problem-solving skills and attention to detail Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders Ability to work independently as well as collaboratively in a team environment Hands-on experience building, evaluating, and deploying Generative AI-powered applications, including model integration, prompt engineering, and production deployment Robust understanding of large language models (LLM) and frameworks. (e.g. LangChain, LlaMA, GPT, Bard, etc.) Experience with cloud platforms such as AWS or Azure Experience with version control systems such as Git Demonstrated ability to stay current with cutting-edge academic and industry research and translate emerging methods into practical solutions for novel business problems
Requirements
- Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, or a related field
- Minimum of 2 years of professional data science (or similar) experience; candidates with advanced degrees in relevant fields may be considered eligible, with advanced degrees being considered in lieu of industry experience
- Excellent proficiency in Python programming language as well as experience in other languages (e.g. R, Matlab, Julia, Javascript, C++, Java, etc.)
- Solid experience with data analysis and visualization tools such as Pandas, NumPy, Matplotlib, Streamlit, Plotly, Seaborn, Scipy, or similar
- Excellent familiarity with machine learning frameworks and libraries such as PyTorch, Scikit-learn, TensorFlow, or similar
- Basic understanding of statistical modeling, machine learning algorithms, and predictive analytics techniques
- Basic understanding of database management systems
- Strong problem-solving skills and attention to detail
- Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders
- Ability to work independently as well as collaboratively in a team environment
- Hands-on experience building, evaluating, and deploying Generative AI-powered applications, including model integration, prompt engineering, and production deployment
- Robust understanding of large language models (LLM) and frameworks. (e.g. LangChain, LlaMA, GPT, Bard, etc.)
- Experience with cloud platforms such as AWS or Azure
- Experience with version control systems such as Git
- Demonstrated ability to stay current with cutting-edge academic and industry research and translate emerging methods into practical solutions for novel business problems
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
