Data Scientist Job Description: Top Duties and Qualifications

A Data Scientist, or Data Science Professional, is responsible for overseeing the collection, storage and interpretation of data for businesses. Their duties include sifting through data points to create organized categories, comparing data points to current company processes and writing reports outlining business predictions or proposals.

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Data Scientist duties and responsibilities

A Data Scientist’s job is to use data to help businesses make decisions. Here are some common duties and responsibilities of a Data Scientist:

  • Collecting data through means such as analyzing business results or by setting up and managing new studies
  • Transferring data into a new format to make it more appropriate for analysis
  • Creating new, experimental frameworks to collect data
  • Building tools to automate data collection
  • Searching through large data sets for usable information
  • Creating reports and presentations for business uses
  • Correlating similar data to find actionable results

Data Scientist Job Description Examples:


Data Scientist

Job Summary

Required Skills:

  • Ideal candidate should have a degree in a quantitative field [website] mathematics, computer science, physics, economics, engineering, statistics, operations research, quantitative social science, etc.).

  • Basic Knowledge on software development principles and architecture.

  • Good analytical and problem-solving abilities.

  • Ability to break down and understand complex business problems, define a solution and implement it using advanced quantitative methods.

  • Familiarity with programming for data analysis; ideally Python, SQL, or R.

  • Solid oral and written communication skills, especially around analytical concepts and methods.

  • Great work ethic and intellectual curiosity.

  • Knowledge of Cloud technologies such as AWS or Google Knowledge of any relational database such as My SQL.

  • Must be a team player with excellent communication and problem-solving skills and have experience working with customers across Types: Full-time, Contract
  • ×

    Data Scientist

    Please only local candidates apply - thank you

    ClearOne Advantage is a fast-growing company that is aggressively hiring due to increased business. We are always improving our marketing, culture and technology to provide our employees with the best work atmosphere and our customers with excellent customer service. COA’s proprietary software is tailored to our industry and allows the client to receive the best service possible.

    We are looking for a Data Scientist to analyze large amounts of raw information to find patterns that will help improve our company. We will rely on you to build data products to extract valuable business insights. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We want to see a passion for machine-learning and research. Your goal will be to help our company analyze trends to make better decisions.

    If you are looking to work in a team environment, a place where you are more a name than a number, where you interact with leadership daily, then please send your resume for review!


  • Great location, right on the water in the Canton Crossing Tower

  • Casual work environment and WFH flexibility

  • Room for advancement

    What you'll be doing:

  • Identify valuable data sources and automate collection processes

  • Undertake preprocessing of structured and unstructured data

  • Analyze large amounts of information to discover trends and patterns

  • Build predictive models and machine-learning algorithms

  • Combine models through ensemble modeling

  • Present information using data visualization techniques

  • Propose solutions and strategies to business challenges

  • Collaborate with engineering and product development teams

    What we need:

  • 1-2 years experience as a Data Scientist or Data Analyst

  • Soft skills, ability to build relationships - eager to learn and develop professionally

  • Experience in data mining

  • Understanding of machine-learning and operations research

  • Knowledge of R, SQL and Python; familiarity with Java or C++ is a plus

  • Experience using business intelligence tools [website] Tableau) and data frameworks [website] Hadoop) is a plus

  • Analytical mind and business acumen

  • Strong math skills [website] statistics, algebra)

  • Problem-solving aptitude

  • Excellent communication and presentation skills - team player mentality

  • BS/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred

    Job Type: Full-time

    Salary: $70,000.00 to $80,000.00 /year


  • Analytics: 1 year (Required)

  • Data Scientist: 1 year (Required)


  • Bachelor's (Required)

    Additional Compensation:

  • Bonuses


  • Health insurance

  • Dental insurance

  • Vision insurance

  • Retirement plan

  • Signing bonus

  • Paid time off

  • Flexible schedule

  • Professional development Monday to Friday
  • ×

    Data Scientist

    Notes: To apply for this position, please fill out an application here: [website]?utmsource=indeedremote. We will not review applications on indeed.

    Job Description

    Data Scientist (Full-Time)


  • Data Science


  • Boston, MA

    Who we are: At Proton, we're bringing cutting-edge machine learning to B2B distribution. By predicting what customers will buy, we're improving sales and efficiency, and driving growth. We're looking for an intern data scientist to help us make that vision a reality by developing and refining cutting-edge machine learning models and data processing systems.

    About the job: Our backend is largely written with Python, so some experience with that or another dynamic programming language are essential. We're also a small team — you'll need to be comfortable taking your idea from theory into deployment.

    As a data scientist, you'll collaborate with the team to improve models ranging from cyclic recommendations to churn prediction. We have lots of data from a growing client base, and use industry-standard tools such as TensorFlow for our modeling.

    Job Type: Full-time

    Salary: $75,000.00 to $150,000.00 /year


  • Bachelor's (Preferred)

    Work Location:

  • One location


  • Paid time off

  • Flexible schedule

  • Health Dental Vision Monday to Friday
  • What does a Data Scientist do?

    Data Scientists typically work for corporations across industries to provide them with meaningful insights about how to improve their current business operations. They use their knowledge of coding and other computer programming tactics to automate data collection and storage tasks. Their job is to work closely with company departments to pull data following department decisions or initiatives to weigh their success. They may also be responsible for creating a system for collecting and storing data within company databases.

    Data Scientist skills and qualifications

    Data Scientists must possess skills in a few key areas, such as:

    • Exceptional technical writing skills
    • Ability to communicate complex data in a simple, actionable way
    • Ability to visualize data in the most effective way possible for a given project or study
    • Analytical and problem-solving skills
    • Experience with machine learning and AI
    • Familiarity with data management tools
    • Ability to work independently and with team members from different backgrounds
    • Excellent attention to detail

    Data Scientist salary expectations

    A Data Scientist makes an average of $124,189 per year. Salary may depend on level of experience, education and the geographical location.

    Data Scientist education and training requirements

    Data Scientists need a master’s degree to work. Most applicants will come from backgrounds like computer science, social science, mathematics, statistics or engineering. In some cases, Data Scientists earn a bachelor’s degree in the field they’re interested in, such as marketing or IT, then earn a master’s degree in statistics or a related field. During their master’s programs, students should undergo internships to get practical training and experience. 

    Data Scientist experience requirements

    Data Scientists can find entry-level work once they get a master’s degree. Employers should seek recent graduates who have completed an internship in a similar field. Senior-level Data Scientists usually need at least five to seven years of experience. Experience in data analysis can serve as a substitute in some cases. 

    Job description samples for similar positions

    If you’re looking for candidates for similar roles to the Data Scientist, see our job description templates for related positions:

    Frequently asked questions about Data Scientists


    What is the difference between a Data Scientist and a Data Analyst?

    Data Scientists and Data Analysts have similar job responsibilities, however, they differ in seniority and the scope of their duties. For example, Data Analysts receive objectives from higher ups to review company data to provide them with information about employee retention, customer service abilities or sales quotas. Further, Data Analysts usually only pull data from company databases to complete their tasks. 

    In contrast, Data Scientists take on a more proactive role within a corporation. They pull data from company databases and outside sources to make predictions about company success or other factors. Based on their assessments, they address reoccurring issues or potential business opportunities to upper management. Therefore, they don’t rely on instructions from upper management about what to look for, like Data Analysts do. For this reason, Data Scientists hold more seniority and may communicate with Data Analysts to research certain data figures.


    What are the daily duties of a Data Scientist?

    On a typical day, a Data Scientist reviews their to-do list and searches internal or external databases for specific data points relating to areas like employee retention or market trends. Throughout the day, they participate in meetings with the data team and upper management officials to discuss their findings and make predictions about company operations based on their data. During downtime, they compile reports and create charts to illustrate their findings.


    What qualities make a good Data Scientist?

    A good Data Scientist has excellent written and verbal communication, which enables them to write reports and present their findings to upper management regarding topics like. market predictions, financial goals or employee training needs. Further, a good Data Scientist values continued education and makes an effort to obtain certifications in different coding languages and data management software to perform their job duties well. A good Data Scientist also enjoys working as part of a team and communicates with their coworkers to pull data and compile reports.


    Who does a Data Scientist report to?

    A Data Scientist typically reports to the Director of Data Science or Head of Data Analytics. These individuals delegate tasks to Data Scientists and other data professionals to pull data figures and update company databases. Data Scientists may also report to the Chief Data Officer (CDO) within a corporation.

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