About Agreeya Solutions
Sourced by ZipRecruiter
Industry
It services
Company size
1,001 - 5,000 Employees
Headquarters location
Folsom, CA, US
Year founded
1999
Job description
Job Title: Data Scientist with Gen AI
Project Location: Plano, TX (On-site)
Job Description:
- Advanced proficiency in Python, including experience with asynchronous programming, data structures, and object-oriented design.
- DS/ML algorithms and model working knowledge XGBoost, Linear Regression, Clustering, Decicion Tree, KNN, SVN, etc.
- LangChain & LangGraph: Hands-on experience building, deploying, and maintaining applications using LangChain and LangGraph frameworks.
- Large Language Models (LLMs): In-depth understanding and practical experience with LLMs such as OpenAI GPT-3/4, Anthropic Claude, Meta Llama, or similar.LLM Fine tuning experience
- Prompt Engineering: Expertise in designing, testing, and optimizing prompts for generative models to achieve desired outputs.
- Graph-Based Workflow Design: Demonstrated ability to architect, implement, and debug complex, stateful, branching conversational flows using LangGraph.
- API Development & Integration: Experience integrating external APIs, tools, and data sources into AI-driven workflows.
- Machine Learning Libraries: Familiarity with ML/AI libraries such as PyTorch, TensorFlow, Hugging Face Transformers, or similar.
- Hands-on experience in Python, Pyspark/Spark, NO-SQL (MongoDB), SQL- PostgreSQL, Redis, Databricks, Delta Lake, Azure Cloud
- Experience productionizing AI/ML or LLM-powered workflows (using LangGraph, LangChain, CrewAI etc.) with a focus on reliability, reproducibility, and auditability
- Strong understanding of LLMOps fundamentals, including prompt/model/config versioning and traceable run metadata.
agreeya.com
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Frequently asked questions
Q: What skills or qualities help someone succeed as a Data Scientist?
A: To succeed as a Data Scientist, one must possess core technical skills such as proficiency in programming languages like Python, R, or SQL, as well as expertise in machine learning algorithms, data visualization tools like Tableau or Power BI, and statistical modeling techniques. Additionally, strong soft skills like effective communication, collaboration, and problem-solving abilities, along with traits like curiosity, adaptability, and attention to detail, are crucial for success in this role. By combining these technical and soft skills, Data Scientists can effectively extract insights from complex data, drive business decisions, and drive career growth through continuous learning and innovation.
Q: What is the career path for a Data Scientist?
A: A Data Scientist's typical career progression involves starting as a Junior Data Analyst or Data Scientist, where they develop foundational skills in data analysis, machine learning, and visualization. As they gain experience, they can move into mid-level roles such as Senior Data Scientist or Lead Data Analyst, where they take on more complex projects, mentor junior team members, and contribute to strategic decision-making. Ultimately, senior Data Scientists can transition into leadership positions like Director of Data Science or Chief Data Officer, or pursue specialized roles like Data Engineering or Artificial Intelligence Research Scientist, depending on their interests and skills.
