The role of a Data Scientist is a combination of quantitative analysis, programming, and narrative. High-ranking professionals make discoveries while swimming in data in this scientific discipline.

This template contains the data scientist job description, requirements, and responsibilities that help you find that ‘smart candidate’ for the job. You can modify them to fit your organization’s unique needs. Let’s unpack.

Data Scientist Job Description 

We are hiring Software Developers who are proficient in data science, analytics, and statistics.

Candidates must be well-versed in programming, graphs, and visualizations based on project requirements.

Certifications in data insights and machine learning frameworks are an extra advantage. 

What are we looking for?

• Advanced degrees in data science, statistics, and machine learning (nice to have)

• Proficiency in technical skills like data mining, processing huge data sets, and data wrangling

• Great passion for automation and optimization

• Ability to create business values through customer-centric ideas and approaches

• Demonstration of coding skills on the GitHub account

What a day in the life of a Data Scientist will look like?

• Support the construction of the base of futuristic and technical abilities within the Data and Analytics field.

• Plan, implement, and assess high-level statistical models and strategies for application in the business’s most complex issues.

• Play an important role in the advancement of innovative strategies to understand the business’s consumer trends and management.

• Deploy data tools such as Python, R, SAS, or SQL in data analysis.

• Collaborate with superior data scientists to communicate obstacles and findings to relevant stakeholders to enhance and drive business performance and decision-making.

• Explore different technologies and tools with the vision of creating innovative data-driven insights for the business at the most agile pace feasible.

• Assess and utilize new and enhanced data science methods for the business.

• Perform related tasks and tasks as assigned by the Senior Data Scientist, Head of Data Science, Chief Data Officer, or the Employer.

How can Glider AI help you with Hiring a Data Scientist?

Glider’s recruitment platform is built on the mission, of “competency over credentials”. This way, you can make the most of the hiring assessments through a structured and data-driven candidate-evaluation process. 

Glider AI’s Unique Features

• Conversational Chatbot for Talent Screening

• On-demand One-way Interviews 

• Interactive, coding-enabled skill tests

• Task-based and Live Coding enabled Video Interviews 

• Advanced AI proctoring 

• Powerful candidate analytics 

Discover Hiring Resources for Data Scientists

• Hiring a Data Scientist

• Data Scientist Interview Questions

• Data Scientist Skills Test

• How to hire a Data Scientist

Access 2,000 pre-built assessments covering over 500 skills with 250,000 questions, all validated by 2,000 SMEs including this for the Data Scientist role.

Go ahead and spotlight your Data Scientist with Glider AI today!  

You can always write to us at info@glider.ai to help you access the hiring resources.