Need to start saving with a new ATS? Learn how to calculate the return on investment of your ATS Calculate ROI now

Senior Data Scientist job description

A Senior Data Scientist is an expert in statistical analysis, machine learning, and data mining techniques, leveraging these skills to extract insights and knowledge from data to drive decision-making and develop predictive models for business applications.

Alexandros Pantelakis
Alexandros Pantelakis

HR content specialist at Workable, delivering in-depth, data-driven articles to offer insights into industry and tech trends.

Refreshed on

February 22, 2024

Reviewed by

Eftychia Karavelaki

Senior Recruitment Manager

Use this Senior Data Scientist job description template to advertise open roles for your company. Be sure to modify requirements and duties based on the unique needs of the role you’re hiring for.

What is a Senior Data Scientist?

A Senior Data Scientist is a professional with extensive experience in the field of data science, specializing in turning complex data into actionable insights. They possess a deep understanding of statistical models, machine learning algorithms, and big data technologies. Their expertise enables them to solve complex problems, predict trends, and inform strategic decisions through data analysis.

What does a Senior Data Scientist do?

A Senior Data Scientist designs and implements models that can analyze large datasets to solve various problems and predict future outcomes. They work closely with business stakeholders to understand their challenges and goals, translating complex data into actionable insights.

This role involves not only technical skills in programming and data analysis but also the ability to communicate findings effectively and mentor junior team members. They play a crucial role in guiding data-driven decision-making processes within an organization.

Senior Data Scientist responsibilities include:

  • Developing and implementing advanced analytics models
  • Leading data-driven decision-making processes
  • Managing data science projects from conception to deployment
  • Mentoring junior data scientists

Job brief

We are seeking a highly skilled Senior Data Scientist to join our dynamic team. This role involves tackling complex data challenges, developing predictive models, and extracting valuable insights to inform strategic decisions.

The ideal candidate will have a strong background in data science, with proven experience in machine learning, statistical analysis, and big data technologies. You will lead projects from conception to deployment, mentor junior data scientists, and collaborate with cross-functional teams to drive innovation and improve our data-driven decision-making processes.

If you are passionate about leveraging data to solve problems and have a track record of delivering impactful data science solutions, we would love to hear from you.


  • Develop and implement advanced statistical and machine learning models to solve complex problems
  • Lead the data-driven decision-making process, from data collection and analysis to implementation and monitoring of solutions
  • Manage data science projects, ensuring they meet business requirements and are delivered on time
  • Mentor junior data scientists, providing guidance and support in their professional development
  • Collaborate with cross-functional teams to understand business challenges and objectives, translating complex data into actionable insights
  • Stay abreast of industry trends and advancements in data science and machine learning, continuously improving our methodologies and technologies

Requirements and skills

  • A minimum of two years of full-time work experience as a data scientist
  • A postgraduate degree in computer science, statistics, or a related subject
  • Solid and demonstrable knowledge of machine learning techniques and algorithms
  • Excellent programming skills in languages such as Java or Python
  • Experience with big data technologies and data analysis software like R or MATLAB
  • Exposure to natural language processing, image processing techniques, and big data stacks like Hadoop or Apache Spark is highly desirable
  • Familiarity with NoSQL databases, enterprise search technologies, and recommendation systems
  • Strong communication skills and the ability to work collaboratively across teams

Frequently asked questions

Jump to section