Data Scientist job description
Updated March 14, 2024
8 min read
Data scientists are primarily responsible for managing and interpreting data received from various sources to provide analysis and recommend action plans to address the challenges of the organization. They are expected to create meaning and visualize stories from data by using statistical methods and tools, analyzing trends, and crafting presentations.
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Example data scientist requirements on a job description
Data scientist requirements can be divided into technical requirements and required soft skills. The lists below show the most common requirements included in data scientist job postings.
Sample data scientist requirements
- Bachelor's or Master's degree in math, statistics, computer science, or related field.
- Minimum of 5 years of experience in data analysis.
- Strong knowledge of data analysis and visualization tools.
- Proficiency in SQL and other programming languages.
- Strong knowledge of machine learning algorithms.
Sample required data scientist soft skills
- Excellent communication and problem-solving skills.
- Ability to work independently or in a team environment.
- Strong attention to detail and accuracy.
- Analytical mindset and creative problem-solving skills.
- Ability to interpret and present data in a meaningful way.
Data Scientist job description example 1
Cognizant data scientist job description
We are Cognizant Artificial Intelligence
Digital technologies, including analytics and AI, give companies a once-in-a-generation opportunity to perform orders of magnitude better than ever before. But clients need new business models built from analyzing customers and business operations at every angle to really understand them. With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate and scale the most desirable products and delivery models to enterprise scale within weeks
Location- Remote
Technical Skills
SNo Primary Skill Proficiency Level * Rqrd./Dsrd. 1 Machine Learning PL3 Required 2 3NF data modeling PL3 Desired 3 Python PL4 Desired 4 PL/SQL PL3 Desired
Job summary
Primary skill as Machine Learning.- Selecting appropriate data sets.
- Picking appropriate data representation methods.
- Identifying differences in data distribution that affects model perfor
mance.
- Verifying data quality.
As to the data management resource ideally we can get an onshore mid-level data management resource to help us with the items listed. They would need to have good knowledge of python and experience preparing unstructured (image) datasets for machine learning applications.
3.Experience
10to12yrs
4.Required Skills
Technical Skills- Machine Learning.
#LI-PT1 #CB #Ind123
Qualifications
Technical Skills
SNo Primary Skill Proficiency Level * Rqrd./Dsrd. 1 Machine Learning PL3 Required 2 3NF data modeling PL3 Desired 3 Python PL4 Desired 4 PL/SQL PL3 Desired
* Proficiency Legends
Proficiency Level Generic Reference PL1 The associate has basic awareness and comprehension of the skill and is in the process of acquiring this skill through various channels. PL2 The associate possesses working knowledge of the skill, and can actively and independently apply this skill in engagements and projects. PL3 The associate has comprehensive, in-depth and specialized knowledge of the skill. She / he has extensively demonstrated successful application of the skill in engagements or projects. PL4 The associate can function as a subject matter expert for this skill. The associate is capable of analyzing, evaluating and synthesizing solutions using the skill.
Digital technologies, including analytics and AI, give companies a once-in-a-generation opportunity to perform orders of magnitude better than ever before. But clients need new business models built from analyzing customers and business operations at every angle to really understand them. With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate and scale the most desirable products and delivery models to enterprise scale within weeks
Location- Remote
Technical Skills
SNo Primary Skill Proficiency Level * Rqrd./Dsrd. 1 Machine Learning PL3 Required 2 3NF data modeling PL3 Desired 3 Python PL4 Desired 4 PL/SQL PL3 Desired
Job summary
Primary skill as Machine Learning.- Selecting appropriate data sets.
- Picking appropriate data representation methods.
- Identifying differences in data distribution that affects model perfor
mance.
- Verifying data quality.
As to the data management resource ideally we can get an onshore mid-level data management resource to help us with the items listed. They would need to have good knowledge of python and experience preparing unstructured (image) datasets for machine learning applications.
3.Experience
10to12yrs
4.Required Skills
Technical Skills- Machine Learning.
#LI-PT1 #CB #Ind123
Qualifications
Technical Skills
SNo Primary Skill Proficiency Level * Rqrd./Dsrd. 1 Machine Learning PL3 Required 2 3NF data modeling PL3 Desired 3 Python PL4 Desired 4 PL/SQL PL3 Desired
* Proficiency Legends
Proficiency Level Generic Reference PL1 The associate has basic awareness and comprehension of the skill and is in the process of acquiring this skill through various channels. PL2 The associate possesses working knowledge of the skill, and can actively and independently apply this skill in engagements and projects. PL3 The associate has comprehensive, in-depth and specialized knowledge of the skill. She / he has extensively demonstrated successful application of the skill in engagements or projects. PL4 The associate can function as a subject matter expert for this skill. The associate is capable of analyzing, evaluating and synthesizing solutions using the skill.
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Data Scientist job description example 2
Google data scientist job description
Minimum qualifications:
+ Master's degree in Computer Science, Mathematics, Applied Statistics, Machine Learning, or equivalent practical experience.
+ 3 years of experience in Deep Learning, Natural Language Processing (NLP), or Natural Language Understanding (NLU) and frameworks.
+ 3 years of experience using SQL and programming in Python, TensorFlow or Pytorch.
Preferred qualifications:
+ PhD in a quantitative discipline such as Computer Science or Engineering.
+ Experience in driving a project from an experimental idea to a proof-of-concept to a launched product feature.
+ Experience in cross-functional collaboration, with engineering teams and product teams.
+ Publications and experience working with cutting-edge technologies.
In this role, you will work in close partnership with several Engineering, Product, and Finance teams across Google to develop and deliver machine learning and predictive analytics solutions at scale to our Sales and Marketing stakeholders. You will build recommendation engines and impact measurement tools for Google Customer Solution Sales and Marketing to increase impact and operational effectiveness across the customer journey. You will also build, test, and scale statistical and machine learning models that measure and amplify impact across the entire advertiser journey from acquisition to growth and retention.
You will also be responsible for the regular and ad-hoc delivery of business growth incrementality of programs, as well as the design and statistical analysis of pilot results. You will partner with various teams to develop statistical models, customer-level recommendations, and automated solutions, consolidating existing Google technologies and building new ones. You'll also work with others on the team to harness the power of Google's data with machine learning to provide insights at scale that drive both long-term strategy and near-term operations for Sales and Marketing.
When our millions of advertisers and publishers are happy, so are we! Our Google Customer Solutions (GCS) team of entrepreneurial, enthusiastic and client-focused members are the "human face" of Google, helping entrepreneurs both individually and broadly build their online presence and grow their businesses. We are dedicated to growing the unique needs of advertising companies. Our teams of strategists, analysts, advisers and support specialists collaborate closely to spot and analyze customer needs and trends. In collaboration, we create and implement business plans broadly for all types of businesses.
+ Build efficient and scalable ML models that help small and midsize businesses around the world to grow their business leveraging the power of Google solutions.
+ Solve real-world problems with the latest research in deep learning, natural language processing, and understanding.
+ Work with product teams to understand their objectives, product requirements, constraints, and key metrics.
+ Propose, build, evaluate and debug machine learning models and algorithms.
+ Integrate pipelines, models, and predictions into production serving systems.
+ Master's degree in Computer Science, Mathematics, Applied Statistics, Machine Learning, or equivalent practical experience.
+ 3 years of experience in Deep Learning, Natural Language Processing (NLP), or Natural Language Understanding (NLU) and frameworks.
+ 3 years of experience using SQL and programming in Python, TensorFlow or Pytorch.
Preferred qualifications:
+ PhD in a quantitative discipline such as Computer Science or Engineering.
+ Experience in driving a project from an experimental idea to a proof-of-concept to a launched product feature.
+ Experience in cross-functional collaboration, with engineering teams and product teams.
+ Publications and experience working with cutting-edge technologies.
In this role, you will work in close partnership with several Engineering, Product, and Finance teams across Google to develop and deliver machine learning and predictive analytics solutions at scale to our Sales and Marketing stakeholders. You will build recommendation engines and impact measurement tools for Google Customer Solution Sales and Marketing to increase impact and operational effectiveness across the customer journey. You will also build, test, and scale statistical and machine learning models that measure and amplify impact across the entire advertiser journey from acquisition to growth and retention.
You will also be responsible for the regular and ad-hoc delivery of business growth incrementality of programs, as well as the design and statistical analysis of pilot results. You will partner with various teams to develop statistical models, customer-level recommendations, and automated solutions, consolidating existing Google technologies and building new ones. You'll also work with others on the team to harness the power of Google's data with machine learning to provide insights at scale that drive both long-term strategy and near-term operations for Sales and Marketing.
When our millions of advertisers and publishers are happy, so are we! Our Google Customer Solutions (GCS) team of entrepreneurial, enthusiastic and client-focused members are the "human face" of Google, helping entrepreneurs both individually and broadly build their online presence and grow their businesses. We are dedicated to growing the unique needs of advertising companies. Our teams of strategists, analysts, advisers and support specialists collaborate closely to spot and analyze customer needs and trends. In collaboration, we create and implement business plans broadly for all types of businesses.
+ Build efficient and scalable ML models that help small and midsize businesses around the world to grow their business leveraging the power of Google solutions.
+ Solve real-world problems with the latest research in deep learning, natural language processing, and understanding.
+ Work with product teams to understand their objectives, product requirements, constraints, and key metrics.
+ Propose, build, evaluate and debug machine learning models and algorithms.
+ Integrate pipelines, models, and predictions into production serving systems.
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Data Scientist job description example 3
CVS Health data scientist job description
Description/Fundamental Components: Develops, validates and executes algorithms and predictive models to investigate problems, detect patterns and recommend solutions Explores, examines and interprets large volumes of data in various forms Performs analyses of structured and unstructured data to solve moderately complex business problems Utilizing advanced statistical techniques and mathematical analyses Develops data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs Uses data visualization techniques to effectively communicate analytical results and support business decisions Creates and evaluates the data needs of assigned projects and assures the integrity of the data Explores existing data and recommends additional sources of data for improvements Documents projects including business objectives, data gathering and processing, detailed set of results and analytical metrics
Pay Range
The typical pay range for this role is:
Minimum: 60,000
Maximum: 128,700
Please keep in mind that this range represents the pay range for all positions in the job grade within which this position falls. The actual salary offer will take into account a wide range of factors, including location.
Required Qualifications
1+ years of relevant analytic experience Experience programming using R or Python Experience in SQL
COVID Requirements
COVID-19 Vaccination Requirement
CVS Health requires certain colleagues to be fully vaccinated against COVID-19 (including any booster shots if required), where allowable under the law, unless they are approved for a reasonable accommodation based on disability, medical condition, religious belief, or other legally recognized reasons that prevents them from being vaccinated.
You are required to have received at least one COVID-19 shot prior to your first day of employment and to provide proof of your vaccination status or apply for a reasonable accommodation within the first 10 days of your employment. Please note that in some states and roles, you may be required to provide proof of full vaccination or an approved reasonable accommodation before you can begin to actively work.
Preferred Qualifications
Demonstrates good written and verbal communication skills. Able to present information to various audiences Effectively resolves problems and roadblocks as they occur Demonstrates proficiency in several areas of data modeling, machine learning algorithms, statistical analysis, data engineering and data visualization Ability to work with large data sets from multiple data sources
Education
Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline. Master's degree preferred
Business Overview
Bring your heart to CVS HealthEvery one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand - with heart at its center - our purpose sends a personal message that how we deliver our services is just as important as what we deliver.Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
Pay Range
The typical pay range for this role is:
Minimum: 60,000
Maximum: 128,700
Please keep in mind that this range represents the pay range for all positions in the job grade within which this position falls. The actual salary offer will take into account a wide range of factors, including location.
Required Qualifications
1+ years of relevant analytic experience Experience programming using R or Python Experience in SQL
COVID Requirements
COVID-19 Vaccination Requirement
CVS Health requires certain colleagues to be fully vaccinated against COVID-19 (including any booster shots if required), where allowable under the law, unless they are approved for a reasonable accommodation based on disability, medical condition, religious belief, or other legally recognized reasons that prevents them from being vaccinated.
You are required to have received at least one COVID-19 shot prior to your first day of employment and to provide proof of your vaccination status or apply for a reasonable accommodation within the first 10 days of your employment. Please note that in some states and roles, you may be required to provide proof of full vaccination or an approved reasonable accommodation before you can begin to actively work.
Preferred Qualifications
Demonstrates good written and verbal communication skills. Able to present information to various audiences Effectively resolves problems and roadblocks as they occur Demonstrates proficiency in several areas of data modeling, machine learning algorithms, statistical analysis, data engineering and data visualization Ability to work with large data sets from multiple data sources
Education
Bachelor's degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline. Master's degree preferred
Business Overview
Bring your heart to CVS HealthEvery one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand - with heart at its center - our purpose sends a personal message that how we deliver our services is just as important as what we deliver.Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
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Updated March 14, 2024
Updated March 14, 2024