Job description template
Data Scientist Job Description Template
A copy-ready data scientist job description with responsibilities, qualifications, skills and pay guidance: customize it for your company in minutes.
Copy the template below, replace the bracketed fields and tailor duties to your workplace. For pay, national BLS data shows data scientists earn a median of $120,230 ($57.80/hour); the middle 50% earn $85,660–$158,880.
Job title
Data Scientist
Job summary
[Company name] is seeking a dependable data scientist to join our team in [city, state]. In this role, you will gather and clean data from many sources, explore data with statistics and visualizations and support our team’s commitment to safety, quality and service.
Responsibilities
- Gather and clean data from many sources
- Explore data with statistics and visualizations
- Build predictive and machine learning models
- Design and analyze experiments
- Deploy and monitor models
- Create dashboards and reports
- Explain findings to stakeholders
- Follow company policies, safety procedures and applicable regulations
Required qualifications
- Bachelor's degree
- Working knowledge of python or r and sql
- Curiosity and communication
- [Add role-specific requirements, such as driver’s license or ability to pass a background check, if job-related]
Preferred qualifications
- Google Advanced Data Analytics Certificate
- Microsoft Certified: Azure Data Scientist Associate
- AWS Certified Machine Learning
- Experience with python libraries such as pandas and scikit-learn
Skills
- Statistics
- Machine learning
- Data visualization
- Experiment design
- Critical thinking
- Business sense
Work environment and schedule
Data scientists work in offices or remotely at computers, collaborating with engineers, analysts and business teams. Most work full-time with flexible hours and occasional deadline crunches.
Pay and benefits
$[min]–$[max] per [hour/year], depending on experience. [List benefits: health insurance, paid time off, retirement plan, training and certification support.]
Equal opportunity
[Company name] is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status or any other characteristic protected by law, and we provide reasonable accommodations upon request.
Tips for a data scientist job posting that attracts applicants
- Use the title candidates search for. “Data Scientist” is the clearest; alternates include Data Analyst, Machine Learning Engineer, Analytics Specialist.
- Show the pay range. Postings with pay get more qualified applicants, and a growing number of states and cities require pay ranges in job postings.
- Separate must-haves from nice-to-haves. Long requirement lists discourage qualified candidates, especially career changers.
- Describe a real day. Borrow from our day in the life of a data scientist so applicants self-select accurately.
- Mention training. Highlighting structured onboarding: such as Data Scientist training: widens your applicant pool.
Next steps
Screen and interview with our Data Scientist hiring guide, then onboard with the 30-60-90 day plan.
