Data Scientist, Mid Level

Jobright.ai; United States; Hybrid; USD 120,000 - 180,000; Full time

Job summary

Jobright.ai is seeking a Data Scientist to translate product and business questions into analytical problems, design experiments, and develop statistical models. You will prepare datasets, evaluate baselines, and partner with engineers to deploy models and monitor their performance over time.

The ideal candidate has practical data science project experience, strong Python/SQL skills, and solid knowledge of statistics and model evaluation.

Qualifications

• Applied data science projects experience.
• Strong Python and SQL skills for data prep and analysis.
• Solid understanding of statistics, hypothesis testing, supervised learning, and model evaluation.
• Ability to identify leakage, sampling bias, and data limits in experiments.
• Ability to explain methods and uncertainty to varied audiences.

Responsibilities

• Translate product questions into measurable analytical problems.
• Prepare and validate datasets, features, and evaluation splits.
• Develop ML models and compare with baselines.
• Design experiments and analyze uncertainty, bias, and model performance.
• Collaborate with engineers to integrate models and monitor performance.

Skills

Statistical analysis

Experiment design

Communication of results

Tools

Python

SQL

Pandas

Scikit-learn

Job description

Jobright is a personal AI job search agent that simplifies the job search process and helps users reach better outcomes. The Data Scientist develops and evaluates statistical and machine learning models, translates product and business questions into analytical problems, designs experiments, and collaborates on model integration and monitoring.

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

• Translate product and business questions into measurable analytical and modeling problems
• Prepare and validate datasets, features, and evaluation splits
• Develop statistical and machine learning models and compare them with meaningful baselines
• Design experiments and analyze uncertainty, bias, and model performance
• Partner with engineers to integrate useful models and monitor their performance over time

Qualification

Required

• Practical experience completing applied data science projects
• Strong Python and SQL skills for data preparation and analysis
• Understanding of statistics, hypothesis testing, supervised learning, and model evaluation
• Ability to identify leakage, sampling bias, and limitations in data and experimental results
• Ability to explain methods, uncertainty, and recommendations to different audiences

Preferred

• Experience with ranking, recommendation, or search problems
• Familiarity with experiment platforms, model monitoring, and reproducible ML workflows