Data scientist job descriptions: Data Scientist job description – Workable

Data Scientist job description – Workable

This Data Scientist job description template is optimized for posting to online job boards or careers pages and is easy to customize for your company.

Data Scientist responsibilities include:

• Undertaking data collection, preprocessing and analysis
• Building models to address business problems
• Presenting information using data visualization techniques

Job brief

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 also want to see a passion for machine-learning and research.

Your goal will be to help our company analyze trends to make better decisions.

Responsibilities

• 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

Requirements and skills

• Proven experience as a Data Scientist or Data Analyst
• Experience in data mining
• Understanding of machine-learning and operations research
• Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
• Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop)
• Analytical mind and business acumen
• Strong math skills (e. g. statistics, algebra)
• Problem-solving aptitude
• Excellent communication and presentation skills
• BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred

Frequently asked questions

What does a Data Scientist do?

Data Scientists use coding and other computer programming tactics to automate data collection and storage tasks. They may work closely with company departments or even create a system for storing collected information within their databases. Data Scientists help companies by providing them with valuable insights into how to improve their business operations.

What are the duties and responsibilities of a Data Scientist?

Data Scientists are responsible for leveraging their programming skills to develop automated systems that help companies improve business operations. Their duties include collecting raw data from different sources; this entails analyzing results or creating new studies and transferring it into an appropriate format which is then analyzed. In addition, they must work closely with other departments and make decisions about where data should go and what information is needed – all while following relevant guidelines set forth by law or regulation.

What makes a good Data Scientist?

Good Data Scientists are the bridge between business and data. They must have a deep technical understanding of how to communicate complex data in an accessible way while also having the ability to visualize their findings. A good data scientist will also possess excellent writing skills and analytical and problem-solving skills.

Who does a Data Scientist work with?

A Data Scientist typically works within an organization or business alongside a team of other Data Scientists to analyze various amounts of data. They may report their progress and findings to higher-ups, such as a Lead Data Scientist.

Data Scientist Job Description: Role, Responsibilities, and More

The data scientist is a relatively new key player in organizations — a new breed of analytical data experts. They are part mathematicians, part computer scientists, and they rule the world of big data. Businesses today are wrestling with volumes of unstructured information that’s a virtual gold mine, which can help boost revenue when unearthed. But they really need professionals who can dig in and find valuable business insights, sifting through the useless chaff and finding the precious nuggets of data. That is what the data scientist does; that is why they are highly sought after and well paid.   

Whether it’s the thrill of problem-solving or the hefty paychecks, the perks of being a data scientist are luring many IT professionals to take this career path. If you’re one of them, this article has everything you need to know about how to be a data scientist. 

Today, we’re covering the data scientist job description — what is a data scientist, what does a data scientist do, the qualifications for a data scientist, the data scientist roles and responsibilities, data scientist skills, how to be a data scientist, data scientist requirements, and the data scientist career path.  

Data Scientist Job Description

A Data Scientist is a professional who collects large amounts of data using analytical, statistical, and programmable skills. It is their responsibility to use data to develop solutions tailored to meet the organisation’s unique needs.

Organizations are increasingly using more and more data in their everyday operations. A data scientist interprets the raw data and extracts valuable meaning out of it. They then use this information to find patterns and develop solutions that an organization needs to grow and compete. 

If we must define a data scientist, it would be someone who makes value out of data. Wondering what exactly constitutes the job of a data scientist? Well, no points for guessing, a day of a data scientist revolves around – as the job title suggests – data and data everywhere.  

The data scientist job description involves fetching information from various sources and analyzing it to get a clear understanding of how an organization performs. The scientist uses statistical and analytical methods plus AI tools to automate specific processes within the organization and develop smart solutions to business challenges. After interpreting the data, they present the results in a clear and interesting way. The objective is to help the organization analyze trends to make better decisions. Thus, a good data scientist needs to have the right combination of technical, analytical, and communication skills. 

In order to understand the data scientist role, let’s first understand that the data scientist position has evolved and expanded from the data analyst job position. 

Both the data analyst and data scientist organize and analyze big data within an organization. But the data scientist has the additional role of using business sense and communication skills to influence how the organization tackles business challenges. 

Data scientists combine practical skills like coding and math with the ability for statistical analysis to achieve results. For instance, a data scientist working for a social networking site might analyze the types of pages users ‘Like’ and, based on that, decide what kind of advertisements users will see upon logging into their account.

Data Scientist Roles and Responsibilities: What Does a Data Scientist Do?

Data scientist roles and responsibilities include:

• Data mining or extracting usable data from valuable data sources
• Using machine learning tools to select features, create and optimize classifiers
• Carrying out preprocessing of structured and unstructured data
• Enhancing data collection procedures to include all relevant information for developing analytic systems
• Processing, cleansing, and validating the integrity of data to be used for analysis
• Analyzing large amounts of information to find patterns and solutions
• Developing prediction systems and machine learning algorithms
• Presenting results in a clear manner
• Propose solutions and strategies to tackle business challenges
• Collaborate with Business and IT teams

Data Scientist Skills

You need to master the skills required for data scientist jobs in various industries and organizations if you want to pursue a data scientist career. Let’s look at the must-have data scientist qualifications.  

Key skills needed to become a data scientist:

• Programming Skills – knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage.
• Statistics – Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies. 
• Machine Learning – good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests. 
• Strong Math Skills (Multivariable Calculus and Linear Algebra) – understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques.  
• Data Wrangling – proficiency in handling imperfections in data is an important aspect of a data scientist job description. 
• Experience with Data Visualization Tools like matplotlib, ggplot, d3.js., Tableau that help to visually encode data
• Excellent Communication Skills – it is incredibly important to describe findings to a technical and non-technical audience.
• Strong Software Engineering Background
• Hands-on experience with data science tools
• Problem-solving aptitude
• Analytical mind and great business sense
• Degree in Computer Science, Engineering or relevant field is preferred
• Proven Experience as Data Analyst or Data Scientist

How to Become a Data Scientist

If you are wondering how to get hired in a data scientist role, let me tell you such lucrative jobs don’t simply fall out of the sky, it takes time, effort, and knowledge.

To pursue data scientist careers, you have to devote time to learn data science, upgrade your skills, search for a job and prepare for interviews. Simplilearn’s Data Science Certification offer an excellent way to learn all the skills we discussed here. 

Consider these to start your career as a data scientist.

• Be Patient: you will apply for several jobs before bagging one
• Build up Data Analytics, Programming, and Business skills. 
• Be prepared to answer data science interview questions about how you would behave in various work situations. Remember, recruiters, are more interested in how you solve problems and how you tackle specific situations than your technical knowledge.  
• Consider earning a certificate in Data Science or Business Analytics 
• Create a portfolio to showcase some projects that you have done with real data

How Much Do Data Scientists Make?

The demand and salary for data scientists tend to be higher than most other ITES jobs. Experience is one of the key factors in determining the salary range of a data science professional. 

According to Glassdoor, a Data Scientist in the United States earns an annual average of USD 117,212, and the same site reports that Data Scientists in India make a yearly average of ₹1,000,000.

Looking forward to becoming a Data Scientist? Check out the Data Science Bootcamp and get certified today.

Data Scientist Career Path

Data Science is currently considered one of the most lucrative careers available. Companies across all major industries/sectors have data scientist requirements to help them gain valuable insights from big data. There is a sharp growth in demand for highly skilled data science professionals who can straddle the business and IT worlds. 

The career path to becoming a data scientist isn’t clearly defined since this is a relatively new profession. People from different backgrounds like mathematics, statistics, computer science or economics, end up in data science.  

The options for data scientist careers are quite varied. Since data science is a multidisciplinary profession, there are exposure and exit options in numerous areas. 

The major designations for data science professionals are:

• Data Analyst
• Data Scientist (entry-level)
• Associate data scientist
• Data Scientist (senior-level)
• Product Manager
• Lead data scientist
• Director/VP/SVP

That was all about Data Scientist Job Description.

Watch the video below that will help you explore the top job roles that you can get into after becoming a data science professional.

Become a Data Scientist Today! 

In this write-up, we covered the Data Scientist job description in detail. Irrespective of which location you are in, there is no dearth of jobs for skillful data scientists. A career in data science is a rewarding journey to embark on, especially in the finance, retail, and e-commerce sectors. Jobs are also available with Government departments, universities and research institutes, telecoms, transports, the list goes on.

Learn the latest in data science with a very practical applied certification bootcamp from Simplilearn – the PG in Data Science in partnership with Purdue University and in collaboration with IBM. This bootcamp program is ideal for anyone looking to build a career in data science or someone looking to really accelerate their career in the field.

Check out Simplilearn today, and get your data science career off to a strong start!

FAQs

1. What does a Data Scientist do?

Data is a professional that collects large amounts of data using analytical, statistical, and programmable skills. They are responsible for using data to develop solutions tailored to meet the organization’s unique needs.

2. What are the duties and responsibilities of a Data Scientist?

A Data Scientist’s roles and responsibilities include extracting data from multiple sources, using machine learning tools to organize data, process, clean, and validate the data, analyze the data for information and patterns, develop prediction systems, present the data in a clear manner, and propose solutions and strategies.

3. What makes a good Data Scientist?

A good Data Scientist comes with a myriad of skills such as programming, communication, organizational, mathematical, data analysis, problem solving, and analytical skills.

4. Who does a Data Scientist work with?

Data Scientists collaborate with the Business, and IT teams to ensure proposed solutions and strategies are implemented.

5. What are skills required for data scientist?

Data Scientist requires skills such as programming, communication, organizational, mathematical, data analysis, problem solving, and analytical skills.

6. Is data scientist a stressful job?

Data science is definitely a difficult task. The volume of the work, the deadlines, and job demands from multiple sources can make data scientists a stressful job. 

7. What qualifications does a data scientist need?

An undergraduate degree is a must, but most data scientists often have a master’s or a Ph.D. in Data Science, Mathematics, or Statistics. They also take online courses to learn special skills and tools that help them make their tasks easier.

8. Are data scientists in demand?

With data becoming a huge part of today’s professional world, it is ideal that Data Scientists are one of the most demanding jobs. According to the U.S. Bureau of Labor Statistics, data science will see more growth than almost any other field between now and 2029.

9. Is data science a good career?

With the demand for data scientists at an all-time high, a data scientist is definitely a good career choice. Along with high demand, the salaries are also competitive and come with multiple perks.

Next Article

Data Scientist Job Description Update 2022 – Job Search

Did you know that data analyst is one of the most in-demand jobs in the world? To be in this position, you really need to learn what a data scientist job description looks like.

To avoid confusion when you finally get hired, this article will help you analyze how much you’ll be earning, your responsibilities, and what qualifications you’ll need to fit into the role. nine0003

See table of contents below for highlights.

Who is a data scientist?

A data scientist is someone who collects, analyzes, and interprets massive amounts of data using their analytical, statistical, and programming talents.

You then use this data to create data-driven solutions to complex business problems.

Data scientists are dominated by bachelor’s degrees in statistics, mathematics, computer science, or economics. nine0003

What do data scientists do?

Data scientists often work for businesses in various industries, providing them with useful information on how to improve their current operations.

They automate the work of collecting and storing data using their coding and other computer programming skills. Their role is to work closely with company departments to collect data to evaluate the success of a department selection or initiative.

They may also be responsible for developing a data collection and storage system for the company’s databases. nine0003

What skills do I need to have to become a Data Scientist?

There are skills you must have in key areas. These areas include;

• Technical writing skills that are second to none
• The ability to explain complex information in a simple and effective way
• Analytical and problem solving skills
• The ability to visualize data in the most effective way appropriate for a particular study. nine0030
• Experience in AI and machine learning
• Knowledge of data management programs
• Ability to work individually as well as with others of varying backgrounds in a team
• Outstanding attention to detail

See also: 15 bad communication skills you need get rid of it immediately

Duties/responsibility of a Data Scientist

The function of a data scientist is not set in stone. However, no matter how flexible they are, the following will always be on the list. nine0003

• Gathering data through many methods, such as evaluating company results or creating and managing new studies.
• Changing the data format to make it more suitable for analysis
• Designing a framework for collecting experimental data
• Creating automated data collection methods
• Searching huge datasets for information they can use
• Creating business reports and presentations
• Finding relevant results by combining related data

Basic data skills

In your daily work as a data scientist, you must use the following basic skills;

• Statistical Analysis: This helps you in the process of identifying patterns in the data. Being able to spot patterns and detect anomalies is part of that.
• Implement algorithms and statistical models that allow a computer to automatically learn from data. nine0030
• Apply artificial intelligence, database systems, human-computer interaction, numerical analysis and software development techniques in computer science.
• Writing computer programs and analyzing vast datasets to find solutions to complex problems is what programming is all about.
• Ability to code in multiple languages, including; Java, R, Python and SQL.

What are the salary expectations of a Data Scientist?

According to Indeed.com, Data Scientist makes approximately $124,189XNUMX dollars a year.

However, some factors such as your experience, education, and where you live can affect your income.

Related Articles: Best 30-60-90 Day Plan Guide Template for Beginners

Is there a difference between a Data Scientist and a Data Analyst?

Data scientist and data analyst have similar responsibilities, but they differ in length of service and field of activity.

For example, senior management might assign data analysts to analyze company data to provide them with comprehensive insights into employee retention, customer service capabilities, or sales quotas. nine0003

However, data scientists are more active in the company. They use data from internal and external databases to create predictions about the organization’s success.

As a result, unlike data analysts, they do not rely on orders from top management as to what to look for, while data scientists have more authority and can talk to data analysts to examine certain numbers of data.

What characteristics make a great data scientist? nine0009

A good Data Scientist has excellent written and verbal communication skills that enable them to write reports and present their findings to senior management on topics such as market forecasts, financial goals, and employee training requirements.

The Competent Data Scientist places great emphasis on continuing education and strives to gain certifications in various coding languages ​​and data management tools in order to perform their professional duties effectively. nine0003

An excellent Data Scientist values ​​teamwork and collaborates with colleagues to collect data and create reports.

To whom does a Data Scientist report?

In essence, the Data Scientist reports to the Director of Data Science because this is the person who delegates data collection duties to you.

However, you can also report to the Chief Data Officer.

Updated Data Scientist job description templates

Template 1

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5 Specialist Job Description for internal control sample

CHAPTER 1

GENERAL PROVISIONS

1. The specialist in internal control over the processing of personal data belongs to the category of specialists and reports to the director of the Organization (the person acting in his capacity).
2. A person with a higher education and work experience of at least 2 years is appointed to the position of an internal control specialist.
3. Appointment to the position of a specialist in internal control over the processing of personal data and dismissal from it is carried out by order of the Director of the Organization (the person performing his duties). nine0030
4. In his activities, the specialist in internal control over the processing of personal data is guided by:

The Constitution of the Republic of Belarus, the Law of the Republic of Belarus dated May 7, 2021 No. 99-З “On the Protection of Personal Data” (hereinafter referred to as the Law), other regulatory legal acts on personal data;

internal labor regulations and other local legal acts of the Organization;

this job description. nine0003

5. The specialist in internal control over the processing of personal data must know:

personal data legislation;

regulatory legal acts and local legal acts regulating the activities of the Organization on issues related to the performance of official duties;

structure, goals of activities, main tasks and directions of development of the organization;

legal and organizational measures to ensure the protection of personal data, the basics of technical and cryptographic protection of information in information systems; nine0003

modern means of communication and communication, computer equipment, rules for their operation;

fundamentals of labor legislation;

rules and regulations of labor protection and fire safety.

CHAPTER 2

JOB RESPONSIBILITIES

6. Personal data processing internal control specialist:

6.1. studies and analyzes the processes of processing personal data in the Organization, determines the risks associated with the processing of personal data, and proposes measures to minimize them; nine0003

6.2. develops and proposes for implementation in the Organization legal and organizational measures to ensure the protection of personal data, taking into account the requirements of the Law and other legislative acts, including developing and maintaining up to date:

documents defining the Organization’s policy regarding the processing of personal data;

local legal acts that determine the procedure for access to personal data, including those processed through automated systems; nine0003

other documents (forms) on the processing of personal data;

the form of the personal data processing register, coordinates its maintenance and up-to-date status, evaluates the completeness and correctness of entering information into it;

6. 3. takes part in determining measures for the technical and cryptographic protection of personal data and interacts with the system administrator on their implementation;

6.4. monitors compliance in the Organization with the requirements of legislation and local legal acts on personal data, including:

for the timely introduction by employees of the Organization of changes to personal data that are incomplete, outdated or inaccurate, unless a different procedure for making changes to personal data is established by legislative acts or if the purposes of processing personal data do not imply subsequent changes to such data;

for the timely termination of the processing of personal data, as well as the implementation of their deletion or blocking in the absence of grounds for the processing of personal data provided for by legislative acts; nine0003

conducts checks on compliance with the requirements of the legislation on personal data in the structural divisions of the Organization to identify violations and prevent their occurrence;

conducts investigations into violations by employees of the Organization of the requirements for the processing of personal data, makes proposals to the Director of the Organization on bringing the perpetrators to justice;

notifies the director of the Organization (the person acting in his capacity) of personal data protection violations that require prompt action; nine0003

6. 5. advises managers, other employees of the Organization and authorized persons on the processing and protection of personal data in the Organization;

6.6. coordinates local legal acts, agreements of the Organization for their compliance with the legislation on personal data;

6.7. familiarizes the employees of the Organization (if necessary, other persons directly involved in the processing of personal data) with the provisions of the legislation on personal data, including the requirements for the protection of personal data, documents defining the policy of the Organization regarding the processing of personal data; nine0003

6.8. organizes training for employees of the Organization on the processing and protection of personal data in the manner prescribed by law, offers optimal forms of training based on the functions of employees processing personal data;

6.9. considers applications of personal data subjects on the processing of personal data in the Organization, provides, upon their application, information about their personal data, as well as about the provision of their personal data to third parties, with the exception of cases provided for by the Law and other legislative acts; nine0003

6. 10. considers complaints of personal data subjects regarding the processing of personal data in the Organization, takes the necessary measures in accordance with the law to restore the violated rights of personal data subjects;

6.11. ensures interaction with the authorized body for the protection of the rights of subjects of personal data, including:

notifies the authorized body for the protection of the rights of subjects of personal data about violations of personal data protection systems; nine0003

changes, blocks or deletes false or illegally obtained personal data of the subject of personal data at the request of the authorized body for the protection of the rights of subjects of personal data, unless a different procedure for making changes to personal data, blocking or deleting them is established by legislative acts;

fulfills other requirements of the authorized body for the protection of the rights of subjects of personal data to eliminate violations of the legislation on personal data. nine0003

6.12. prepares reports within the competence;

6.13. continuously improves its professional and qualification level;

6.14. ensures the safety of documents generated in the activities of the leading specialist in the implementation of internal control over the processing of personal data, their execution and transfer to the archive;

6.15. cooperates with the employer in ensuring healthy and safe working conditions;

6.16. takes the necessary measures to limit the development of an emergency and its elimination, provides first aid to the victim, takes measures to call an ambulance, emergency services, fire brigade; nine0003

6.17. fulfills the requirements for labor protection and fire safety, complies with the rules of internal labor regulations;

6.18. takes part in the conclusion of a collective agreement, the development and implementation of measures to strengthen labor discipline;

6.19. complies with the rules of the organization of office work;

6. 20. performs other duties in accordance with local legal acts, instructions (instructions) of the Director of the Organization (the person performing his duties). nine0003

CHAPTER 3

RIGHTS

7. The specialist in internal control over the processing of personal data has the right to:

7.1. make decisions within the competence on issues related to the performance of official duties;

7.2. get acquainted with the draft decisions of the Director of the Organization (the person performing his duties) relating to his activities;

7.3. submit for consideration by the director of the Organization (the person acting as his/her duties) proposals for improving activities related to the performance of official duties; nine0003

7.4. request and receive from other employees of the Organization information and documents necessary for the performance of their duties;

7.5. receive from the director of the Organization (the person acting as his/her duties) assistance in the performance of their official duties and the exercise of rights;

7. 6. within its competence, report to the director of the Organization (the person acting as director) about shortcomings in the activities of the Organization (individual employees) identified in the course of performing their duties, and make proposals for their elimination; nine0003

7.7. improve their qualifications, including by sending them to educational institutions to master the content of the educational program for the advanced training of managers and specialists, the educational program for the retraining of managers and specialists with higher education;

7.8. take part in the discussion of labor protection issues, as well as meetings of the labor collective (trade union organization) submitted for consideration.

CHAPTER 4

RELATIONSHIPS (COMMUNICATIONS BY POSITION)

8. The specialist in internal control over the processing of personal data, within the limits of his competence, interacts with all employees of the Organization.
9. The requirements of a specialist in internal control over the processing of personal data within his competence are mandatory for employees of the Organization.
10. If a disagreement arises between the specialist in internal control over the processing of personal data and the director of the Organization (the person acting as him) on issues related to the performance of official duties, they are accepted for execution by the specialist in internal control over the processing of personal data upon written instruction of the director An organization (a person performing its duties), which bears full responsibility for the consequences of decisions made. nine0030

CHAPTER 5

RESPONSIBILITY

11. The specialist in internal control over the processing of personal data is responsible:

for failure to perform (improper performance) of official duties provided for by this job description – within the limits determined by labor legislation;

for offenses committed in the course of carrying out their activities – within the limits determined by administrative, criminal and civil legislation; nine0003

for causing material damage – within the limits determined by labor, criminal and civil legislation;

for violation of labor protection or fire safety laws.