Data Scientist, Early Career
Jobright.ai · United States
- Hybrid
- Full-time
- $90,000 / year
- United States
Job highlights
- Build and deploy AI agents and models.
- Optimize LLM prompts and RAG pipelines.
- Analyze user data for product improvements.
- Monitor model performance and provide support.
- Entry-level role with high impact potential.
About the role
About Jobright.ai
Jobright is your personal AI job search agent that transforms the job search process into a fast, expert-guided journey. They are seeking an AI Engineer to build and scale business-facing AI agents, managing the entire lifecycle from prototype to production.Why Join Us
- Build real, production AI agents used by real users
- High ownership and impact
- Work at the intersection of AI, agents, and product
- Shape how people experience AI-driven job search
Responsibilities
- Develop and deploy predictive models and machine learning algorithms that power the core logic of our production AI agents
- Experiment with and optimize Large Language Model (LLM) prompts, fine-tuning techniques, and RAG pipelines to improve agent performance and reliability
- Perform deep-dive statistical analysis on user interaction data to identify patterns that drive product improvements and feature innovation
- Monitor model performance and provide technical support during critical product iteration cycles
Qualifications
Required
- Recent graduate or entry-level professional (0–2 years of experience) with a degree in Data Science, Computer Science, Statistics, or a related quantitative field
- Strong programming skills in Python and proficiency with machine learning libraries such as PyTorch, TensorFlow, or Scikit-learn
- Practical understanding of LLM architectures, prompt engineering, and the evaluation of generative AI outputs
- Excellent communication skills with the ability to articulate technical methodology and complex modeling results to the broader team
- Must live in and be authorized to work in the United States
Preferred
- Previous internship or research experience focused on Natural Language Processing (NLP), autonomous agents, or recommendation systems
- Experience building and maintaining data pipelines and working with cloud infrastructure (AWS/GCP/Azure)
- Strong technical foundation in SQL and database management for efficient data extraction and feature engineering
Key skills/competency
- Data Science
- Machine Learning
- Python
- LLMs
- Prompt Engineering
- Statistical Analysis
- RAG
- AI Agents
- Data Pipelines
- SQL
Skills & topics
- Data Scientist
- AI Engineer
- Machine Learning
- Python
- LLM
- Generative AI
- Prompt Engineering
- RAG
- Statistical Analysis
- Jobright.ai
How to get hired
- Tailor your resume: Highlight Python, ML libraries, and LLM experience.
- Showcase projects: Detail relevant internships or research in NLP or AI agents.
- Prepare for technical questions: Review ML concepts, Python coding, and LLM evaluation.
- Demonstrate communication: Practice explaining complex AI concepts clearly.
- Express enthusiasm: Convey your passion for AI and the job search domain.
Technical preparation
Master Python and ML libraries (PyTorch, TensorFlow, Scikit-learn).,Study LLM architectures and prompt engineering.,Practice RAG pipeline implementation.,Review SQL for data extraction and feature engineering.
Behavioral questions
Describe a complex AI concept simply.,How do you handle model performance issues?,Share your experience with team collaboration.,Why are you interested in AI job search?
Frequently asked questions
- What is the Early Career Data Scientist role at Jobright.ai?
- The Early Career Data Scientist position at Jobright.ai focuses on building and deploying AI agents, optimizing LLM performance, and analyzing user data to drive product innovation. It's an entry-level role for recent graduates with strong quantitative and programming skills.
- What programming languages and libraries are essential for this Jobright.ai role?
- Proficiency in Python is required, along with experience with machine learning libraries such as PyTorch, TensorFlow, or Scikit-learn. Strong SQL skills are preferred for data extraction and feature engineering.
- Does Jobright.ai require specific experience with Large Language Models (LLMs) for the Data Scientist role?
- Yes, a practical understanding of LLM architectures, prompt engineering, and the evaluation of generative AI outputs is a required qualification for this position.
- What kind of data analysis will an Early Career Data Scientist perform at Jobright.ai?
- You will perform deep-dive statistical analysis on user interaction data to identify patterns that drive product improvements and feature innovation, contributing directly to the evolution of Jobright.ai's AI agents.
- What is the preferred background for an Early Career Data Scientist at Jobright.ai?
- Preferred backgrounds include previous internship or research experience in Natural Language Processing (NLP), autonomous agents, or recommendation systems, as well as experience with cloud infrastructure.
- Is this a remote position? What are the location requirements for the Data Scientist job at Jobright.ai?
- No, this is not a remote position. Candidates must live in and be authorized to work in the United States.
- What educational background is needed for the Jobright.ai Data Scientist position?
- A degree in Data Science, Computer Science, Statistics, or a related quantitative field is required. This is an entry-level role suitable for recent graduates.
- How does Jobright.ai ensure the reliability of its AI agents?
- Jobright.ai focuses on experimenting with and optimizing LLM prompts, fine-tuning techniques, and RAG pipelines to enhance agent performance and reliability. Continuous monitoring and technical support are also key.