How to write a Data Scientist job description

Your job description is the first touchpoint between your company and your new hire. With millions of people searching for jobs on Indeed each month, a great job description can help you attract the most qualified candidates to your open position. To get you started, here are some tips for creating an effective job description.

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Data Scientist job title

A great job title typically includes a general term, level of experience and any special requirements. The general term will optimise your job title to show up in a general search for jobs of the same nature. The level of experience will help you attract the most qualified applicants by outlining the amount of responsibility and prior knowledge required. And if your position is specialised, consider including the specialisation in the job title as well. But avoid using internal titles, abbreviations or acronyms to make sure people understand what your job posting is before clicking.

Examples of Data Scientist job titles

    Data Scientist
    Senior Data Scientist
    Data Scientist (with SAS proficiency)
    Data Scientist (Full-Time)
    Research Analyst

Data Scientist job summary

A great job description starts with a compelling summary of the position and its role within your company. Your summary should provide an overview of your company and expectations for the position. Outline the types of activities and responsibilities required for the job so job seekers can determine if they are qualified, or if the job is a good fit.

Example of a Data Scientist job summary

Our leading data management and integration organisation is currently in need of a Data Scientist to join our fast-growing team. The ideal candidate will be intricately involved in running analytical experiments in a methodical manner, and will regularly evaluate alternate models via theoretical approaches. This is the perfect opportunity for the successful candidate to become a part of an innovative and energetic team that develops analysis tools which will influence both our products and clients.

Data Scientist responsibilities and duties

The responsibilities and duties section is the most important part of the job description. Here you should outline the functions this position will perform on a regular basis, how the job functions within the organisation and who the employee reports to.

Examples of Data Scientist responsibilities

    Research and develop statistical learning models for data analysis
    Collaborate with product management and engineering departments to understand company needs and devise possible solutions
    Keep up-to-date with latest technology trends
    Communicate results and ideas to key decision makers
    Implement new statistical or other mathematical methodologies as needed for specific models or analysis
    Optimise joint development efforts through appropriate database use and project design

Data Scientist qualifications and skills

Next, outline the required and preferred skills for your position. This may include education, previous job experience, certifications and technical skills. You may also include soft skills and personality traits that you envision for a successful hire. While it may be tempting to include a long list of skills and requirements, including too many could dissuade qualified candidates from applying. Keep your list of qualifications concise, but provide enough detail with relevant keywords and terms.

Examples of Data Scientist skills

    Master’s degree in computer science, statistics, applied maths or related field
    7+ years’ practical experience with SAS, ETL, data processing, database programming and data analytics
    Extensive background in data mining and statistical analysis
    Able to understand various data structures and common methods in data transformation
    Excellent pattern recognition and predictive modelling skills
    Experience with programming languages such as Java/Python an asset

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