Job Description

Data Scientist job description

This Data Scientist job description template includes the list of most important Data Scientist’s duties and responsibilities. It is customizable and ready to post to job boards. Use it to save time, attract qualified candidates and hire best employees.

Data Scientist job description template

Data Scientist job profile

In short, Data Scientists are people who make value and sense our of raw data. Their main duty is to create and manage Machine Learning-based tools or processes within the company. Data Scientists usually possess excellent skills in statistics and math.

In order to attract Data Scientists that best matches your needs, it is very important to write a clear and precise Data Scientist job description.

Data Scientist job description

We are looking for an experienced and passionate Data Scientist to join our team of Data Professionals. As Data Scientist at our company, you will be responsible for processing and analzying raw data in a way that is useful and insightful.

If you love Data Science, you will also love this job! You will have a chance to work with the latest technology and perform Big Data research. Some of the methods you will be using include pattern recognition and learning systems, data visualization and solution feasibility.

Data Scientist duties and responsibilities

  • Develop, manage and maintain Machine Learning infrastructure
  • Utilize Natural Language Processing between users, stylists, and products.
  • Research, develop, plan and implement predictive algorithm
  • Use various regression and other data analysis techniques and methods
  • Work with other team mebers to build upon our data collection, storage, and processing infrastructure
  • Stay motivated to actively engage with customers
  • Motivation and drive to seek out for new projects and sales opportunities

Data Scientist requirements

  • X years of experience in Data Science/ Big Data Analytics / Data Engineering
  • BS degree in Computer Science or Engineering
  • Expertise in fields such as Mathematical Statistics, Machine Learning Systems and Automated Reasoning Algorithmic Solutions
  • X years of hands on experience with Big Data ETL processes, Data visualization, Data Exploring Algorithms
  • Proven experience in Data Modeling
  • X years of experience with Data Management, Analytical tools, languages and libraries (e.g. SAS, MATLAB, R, Apache Mahout, Scikit-learn).
  • Knowledge of computer programming (C++, Java, Ruby, or others)
  • Sense of ownership and pride in your performance and its impact on company’s success
  • Critical thinker and problem-solving skills
  • Team player
  • Good time-management skills
  • Great interpersonal and communication skills
See TalentLyft in action

Applicant Tracking, Recruitment Marketing, Sourcing and Talent CRM software are powerful alone, but unstoppable when used together!


Related content

Explore more topics

  • Recruiting Stats

    Stay informed with the latest recruitment statistics that can help you refine your hiring strategies. Discover key metrics on time-to-hire, candidate sourcing, retention rates, and more. Use these data-driven insights to improve your talent acquisition processes and make better hiring decisions.

  • Recruitment Metrics

    If you can't measure it, you can improve it. Or something like that. Either way, tracking metrics is in the recruitment process is crucial to see what works and what doesn't. Dive in to this topic to learn all about the most important metrics to track and how they can help you optimize your hiring process.

  • Recruitment Software

    Optimize your hiring process with powerful recruitment software. Streamline candidate sourcing, applicant tracking, and interview scheduling while improving efficiency and reducing time-to-hire. Learn how the right recruitment software can help you attract top talent, enhance collaboration, and make data-driven hiring decisions for better results.

  • Workplace Diversity

    Promote workplace diversity with strategies that foster an inclusive environment. Learn how to attract and retain diverse talent, create equitable hiring practices, and cultivate a culture of inclusion. Embrace diversity to drive innovation, enhance collaboration, and strengthen your organization’s overall success.

  • Training and Development

    Training and development of your existing and new employees is what drives organizational success in the long term. By giving your people opportunities to educate themselves and improve their skills and expertise, you create a culture of learning, reducing turnover and improving productivity. Learn all the best practices and set up your employees for success!

  • Video in Recruitment

    Discover how incorporating video can enhance your recruitment strategy. From video job postings to candidate video submissions and virtual interviews, video adds a personal touch, increases engagement, and streamlines the hiring process. Learn how to use video to attract, assess, and connect with top talent more effectively.

Simple and affordable recruitment software