Data Scientist

Essential knowledge, skills and abilities:


* Strong analytical and problem-solving skills with attention to detail.


* Excellent verbal and written communication skills with the ability to explain technical concepts to a variety of audiences.


* Demonstrates curiosity, initiative, and a willingness to continuously learn new technologies and analytical techniques.


* Ability to manage multiple assignments while meeting deadlines.


* Strong organizational skills and ability to document work effectively.


* Ability to work collaboratively in a team-oriented environment.


* Basic understanding of statistical analysis and machine learning concepts.

Basic Qualifications:


* Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Information Systems, or a related quantitative discipline.


* 0-2 years of experience in data science, analytics, software development, or a related field, including internships, co-op programs, undergraduate research, or equivalent project experience.


* Working knowledge of Python and SQL.


* Basic understanding of statistics, probability, machine learning concepts, and data visualization.


* Employees must be legally authorized to work in the United States.

Verification of employment eligibility will be required at the time of hire.

Visa sponsorship is not available for this position

Preferred Qualifications:


* Internship, co-op, academic research, or personal project experience involving analytics, machine learning, or artificial intelligence.


* Experience with Python libraries such as:


* Machine Learning: Scikit-learn, TensorFlow, PyTorch, or similar frameworks.


* Data Analysis: Pandas, NumPy.


* Visualization: Matplotlib, Seaborn, or Plotly.


* Basic familiarity with cloud platforms such as Oracle Cloud Infrastructure (preferred), AWS, Azure, or Google Cloud.


* Exposure to Jupyter Notebooks, Git, Docker, or basic MLOps concepts.


* Exposure to Large Language Models (LLMs) and Generative AI concepts through coursework, internships, research, or personal projects.


* Familiarity with AI frameworks and libraries such as LangChain, LlamaIndex, Hugging Face Transformers, or similar tools.


* Experience using commercial or open-source LLMs (e.g., OpenAI, Anthropic, Meta Llama, Mistral) through APIs or local deployments.


* Basic understanding of Retrieval-Augmented Generation (RAG), prompt engineering, vector databases, embeddings, and semantic search concepts.


* Experience with Power BI or similar visualization tools is beneficial.

This position is an opportunity to convert a current temp-to-hire role into a permanent position.

Salary Range: $38k - $43k/year approximation (actual compensation is subject to variation due to factors such as education, experience, skillset, and/org location).Howmet Aerospace Inc.

("Howmet") is currently in search of a Data Scientist join the Global Infor...