Data Scientist job description
Cloutra team · Last updated October 12, 2026
A data scientist uses statistics, programming and machine learning to find patterns in data and help a company make better decisions. Use this data scientist job description template to attract qualified candidates, and adjust the duties and requirements to fit your company.
Data Scientist responsibilities include:
- Analyzing data to answer business questions
- Building and testing predictive models
- Explaining findings to technical and non-technical teams
Job brief
We are looking for a Data Scientist to turn our data into insights and models that help us make better decisions and build better products.
In this role you will work with teams across the company to define the questions worth answering, gather and clean the data, build and test models, and present what you find. You will work closely with data engineers, analysts, product managers and business leaders.
To succeed, you should have a strong grounding in statistics and machine learning, write clean code, and be able to explain complex results in plain language to people who are not data specialists.
Responsibilities
- Work with business and product teams to turn their questions into data problems
- Collect, clean and prepare data from different sources
- Explore data to find trends, patterns and unusual results
- Build, train and test statistical and machine learning models
- Design experiments such as A/B tests and analyze their results
- Work with engineers to put models into production
- Monitor models in use and retrain or adjust them when performance drops
- Present findings and recommendations with clear charts and plain language
- Document methods, code and assumptions so others can repeat the work
- Keep up with new methods and tools and share what is useful with the team
Requirements and skills
- Proven experience as a Data Scientist or in a similar analytical role
- Strong knowledge of statistics, probability and machine learning methods
- Proficiency in Python or R and common data science libraries
- Strong SQL skills and experience working with large data sets
- Experience building, evaluating and deploying predictive models
- Experience with data visualization tools
- Ability to explain technical results clearly to non-technical audiences
- Degree in statistics, computer science, mathematics or a related field, or equivalent experience
Hiring a data scientist?
Paste this job description into Cloutra. Its agents score every resume against it, run the first-round interview with each candidate, and write up the evidence. You review it and decide.
Frequently asked questions
What does a data scientist do?
A data scientist collects and analyzes data, builds statistical and machine learning models, and uses the results to answer business questions and improve products.
What are the duties and responsibilities of a data scientist?
Typical duties include defining data problems with business teams, preparing and exploring data, building and testing models, running experiments, helping put models into production, monitoring their performance and presenting findings.
What makes a good data scientist?
A good data scientist is curious and rigorous, questions the data before trusting it, picks the simplest method that solves the problem, and can explain results in a way that leads to action.
Who does a data scientist work with?
Data scientists usually report to a head of data science, analytics manager or chief data officer. They work with data engineers, data analysts, software engineers, product managers and leaders in the business teams they support.