Resources
Post a Job
 Special Offer 

Jumpstart your hiring with a $75 credit to sponsor your first job.*

Sponsored Jobs are 2.6x times faster to first hire than non-sponsored jobs.**
  • Attract the talent you’re looking for
  • Get more visibility in search results
  • Appear to more candidates longer
*The $75 Sponsored Job credit offer is only available for new accounts in the US that post a job and expires one year after account creation. Upon expiration of the credit, users are charged based on Sponsored Job budget. Terms, conditions, and quality standards apply **Indeed data, based on median United States, Q2 2023

Data Scientist Job Description: Top Duties and Qualifications

Edited by Indeed Employer Content Team
Last updated March 4, 2025

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.

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

Hire your next Data Scientist today.

Build a job description

Hire your next Data Scientist today.

Build a job description
Close

Data Scientist Job Description Examples

Example 1

HealthPlanOne's mission is to help people find the right health insurance at the right price, so they live healthier lives. We are committed to making the shopping process simpler. Our mission has never been more important than it is today.

The Senior Data Scientist is responsible for leading advanced analytics projects that will allow us to transform data into actionable insights and solutions. As the Senior Data Scientist, you will own the full life cycle of data modeling projects, creating scalable data science solutions to help drive HPOne s business plans.

Supervisory Responsibilities:
  • The Senior Data Scientist has direct responsibility for supervising the Data Scientist(s)

    Duties/Responsibilities:
  • Create advanced data models and high-quality analyses for all aspects of our business to discover insights, provide actionable recommendations, and drive outcomes
  • Develop and implement predictive models like decision tree, regression using R or similar
  • Define and implement new statistical or other mathematical methodologies for specific models or analyses
  • Develop end-customer segmentation schemes by analyzing customer behavior
  • Partner with business leaders to articulate business requirements for data analyses
  • Manage and optimize the processes for data intake, validation and mining, as well as modeling, visualization and communication deliverables
  • Oversee the design and delivery of automated reports and dashboard products to display results to internal teams and key stakeholders
  • Communicate results and business impacts to stakeholders
  • Provide day to day supervision and oversight to team of data scientists
  • Performs other related duties as assigned

    Required Skills/Abilities:
  • Master s Degree in Computer Science, Statistics, Applied Mathematics, or related field
  • 10 years experience with data science and advanced analytics with proven record for delivery of data-driven insights to inform strategic decision making
  • 5 years experience with SAS (or similar), ETL, data processing, database programming and data analytics
  • 3 years in a leadership role
  • Experience in data mining and statistical analysis
  • Strong understanding of relational databases and data management as well as experience with data aggregation and normalization
  • Understanding of various data structures and common methods in data transformation
  • Excellent pattern recognition and predictive modeling skills
  • Experience conducting analyses and building predictive models using SAS (or similar)
  • Experience with programming languages such as Java / Python (or R )
  • Experience conducting regression analyses
  • Advanced MS Excel expertise (pivot tables, Vlookup, report filters, etc.)
  • Excellent communication, collaboration, and delegation skills with demonstrated ability to partner with both technical and non-technical stakeholders

    Preferred Skills/Abilities:
  • Coursework in at least one of the following: mathematics, business, analytical marketing, information systems, programming/databases, statistics/statistical modeling, finance, economics, or physics
  • Experience with business intelligence and data visualization tools preferred (like Domo or Tableau)

    Physical Requirements:
  • Prolonged periods of sitting at a desk and working on a computer, typically in an office or cubicle environment (constant noise, fluorescent overhead lighting)

    Our centers are consistent with CDC guidelines and align with local government orders pertaining to all Company physical locations in relation to COVID-19.

    Equal Employment Opportunity (EEO) is a fundamental principle at HPOne, where employment is based upon personal capabilities and qualifications. HPOne does not discriminate because of actual or perceived sex, sexual orientation or preference, gender identity, gender, transgender, race, color, religion, national origin, creed, citizenship status, ancestry, age, marital status, pregnancy, childbirth or related medical conditions, medical conditions including genetic characteristics, mental or physical disability, military and veteran status, or any other protected characteristic as established by law. HPOne requires the necessary drug testing and background checks as part of our pre-employment practices.

    Job Type: Full-time

    Schedule:
  • 8 hour Location: One location

    • Example 2

    About us

    We are professional and agile.

    Our work environment includes:
  • Modern office setting
  • Food provided


    Responsibilities:
    - Utilize data mining techniques to extract insights and patterns from large datasets
    - Develop and implement algorithms and models for predictive analytics
    - Collaborate with cross-functional teams to identify business problems and provide data-driven solutions
    - Conduct statistical analysis and hypothesis testing to support decision-making processes
    - Create data visualizations and reports to communicate findings to stakeholders
    - Stay up-to-date with the latest advancements in data science and analytics

    Requirements:
    - Bachelor's degree in a quantitative field such as Data Science, Statistics, Mathematics, or Computer Science
    - Proficiency in programming languages such as Python, R, or SQL
    - Experience with data mining techniques and tools
    - Strong analytical and problem-solving skills
    - Knowledge of machine learning algorithms and techniques
    - Familiarity with big data technologies such as Hadoop or Spark
    - Excellent communication and presentation skills

    Note: Experience with VBA, quantum engineering, or smash is a plus but not required for this position.

    Job Type: Full-time

    Pay: $113,772.00 - $121,673.00 per year

    Benefits:
  • 401(k)
  • 401(k) matching
  • Dental insurance
  • Flexible schedule
  • Flexible spending account
  • Health insurance
  • Life insurance
  • Paid time off
  • Parental leave
  • Tuition reimbursement
  • Vision insurance
    Compensation package:
  • Bonus opportunities
  • Hourly pay
  • Performance bonus
  • RSU
  • Signing bonus
    Experience level:
  • Under 1 year
    Schedule:
  • 8 hour shift



    Ability to commute/relocate:
  • Chapel Hill, NC 27516: Reliably commute or planning to relocate before starting work (Required)

    Experience:
  • Python: 1 year (Preferred)
  • SQL: 1 year Location: Hybrid remote in Chapel Hill, NC 27516

    • Example 3

    Position Data Scientist

    Location Onsite(Dallas, TX)

    Duration Long term Contract

    Must Have:-

    Pin Machine learning -AZ-ML, Python core, Pyspark

    Job Description:

    Experience in Machine Learning, supervised and unsupervised: - Forecasting,
    Classification, Regression, Text Mining, NLP, Decision Trees, Adaptive Decision Algorithms,
    Random Forest, Search Algorithms, Gradient algorithms etc
  • Exposure to Neural Networks/Deep Learning Algorithms
  • Good understanding of basic statical techniques QC tools, ANOVA, Hypothesis, Chi Square tests
  • Should have owned at least one ML model's complete life cycle in production. Should have analyzed the performance of this deployed model and deduced prescriptive ML / business actions
  • Experience with programming languages like Python, analytical packages/libraries like Pandas, Scikit-learn, Seaborn, matplotlib, numpy etc)
  • Experience with R language desirable
  • Identify and choose the right AI or cognitive computing technologies for solving problems and formulate AI recipes for development.
  • Develop required machine learning models or prototype applications applying formulated AI recipes and verify the problem/solution fit.
  • Using innovative ideas to collect, curate or synthesize data
  • Familiarity with machine learning frameworks (like Keras or TensorFlow)
  • Fair knowledge on any RDBMS (MySQL / Oracle /MS SQL)
  • Benchmark, validate and test the solution for real-world environments
  • Optimize the solution for accuracy and performance
  • Experience developing with AI cloud platforms and services on Azure is required
  • Must be a self-starter with the ability to manage their own work.
  • Demonstrated history of successful ML projects

    Job Type: Contract

    Salary: Up to $70.00 per hour

    Experience level:
  • 10 years
    Schedule:
  • 8 hour shift

    People with a criminal record are encouraged to apply



    Ability to commute/relocate:
  • Dallas, TX 75201: Reliably commute or planning to relocate before starting work (Required)

    Application Question(s):
  • Looking for local and who can take the face to face round of interview
  • Looking for 10+ years of experience

    Experience:
  • Python: 4 years (Required)
  • pyspark: 4 years (Required)
  • Machine learning: 5 years Location: In person

    • Example 4

    Data Scientist, Journeyman

    As a member of the data scientist team supporting an intelligence customer, you will work as part of a team to complete agile data projects supporting analysis important for National Security. You will support the investigation of complex unstructured and semi-structured data to provide innovative solutions that help improve the customer's accuracy, efficiency, and costs by giving them better control of their processes and data to support critical decisions.

    This position requires strong Python skills and an interest in complex techniques related to Natural Language Processing (NLP), including Latent Semantic Analysis / Indexing (LSA/LSI), Named-entity recognition (NER), and Complex Event Processing (CEP).

    Experience analyzing algorithms to compute the time and memory size of different data science techniques for distributed, clustered, and cloud-based applications is helpful but not a requirement to start.

    Knowledge of various supervised and unsupervised machine learning techniques will be helpful, especially familiarity and application of data clustering techniques if you want immediate impact.

    We will evaluate candidates based on education, technical abilities, and domain experience in solving complex data problems. In addition, this position requires a mastery of Microsoft Excel and a strong desire to learn and grow in new advanced data techniques and software capabilities as the needs of the client change.

    Minimum Requirements:

  • Security Clearance: Top Secret/SCI with CI Poly
  • Bachelor of Science Degree in STEM + three (3) years experience OR
  • Master's Degree + one (1) year of experience
  • Strong expertise in Microsoft Excel
  • Experience supporting several data projects in Python
  • Strong interest in Natural Language Processing (NLP) applications

    Ideal Candidates:

    Ideal candidates for this role are energetic self-starters with a strong desire to solve complex data problems for national security. The candidate works well with teams by proactively seeking out opportunities to tackle challenging data problems by using their current skills, growing new skills, or seeking out other team members when they need help.

    The best candidates will be the ones with demonstrated experience in contributing to raising the bar for the entire team by freely sharing their abilities and talents to drive successful outcomes.

    The client will know they've hired the right person if, after one year, the candidate is frequently requested by name to solve the customer's problems.

    Job Type: Full-time

    Pay: $90,000.00 - $150,000.00 per year

    Benefits:
  • 401(k)
  • Dental insurance
  • Health insurance
  • Paid time off
  • Vision insurance
    Schedule:
  • Monday to Friday

    Ability to commute/relocate:
  • Glen Echo, MD 20812: Reliably commute or planning to relocate before starting work (Required)

    Education:
  • Bachelor's (Required)

    Security clearance:
  • Top Secret Location: One location

    • Example 5

    Senior Data Scientist Job Description

    Austin, TX

    About Us:

    Valkyrie is an applied science firm that builds industry-defining custom AI, ML and Knowledge Engineering solutions. Our team of advanced data scientists support our clients from data normalization all the way through model deployment. Our work can be found across industry from SiriusXM, Activision, Chubb Insurance, and the Department of Defense, to name a few.



    Senior Data Scientist Position:

    The Senior Scientist is the right fit for a motivated scientist that is excited to be part of a growing business and is passionate about finding insights in data through the scientific method. We are looking for candidates who are interested in analyzing data, developing models based on that data and transforming the outputs of those models to valuable insights. Senior Scientist are responsible for model development and implementation, data architecture, prototyping, and ideation. The right candidate for this role will be able to leverage statistical and programming knowledge to transform data into actionable insights.

    Senior Data Scientist Qualifications:

  • Bachelor s or Master s degree in STEM (Science, Technology, Engineering, Math) or related field
  • 4+ years of professional experience in a scientific or engineering role
  • Experience with at least one Data Science language: Python (preferred)
  • Ability to quickly comprehend an algorithm or machine learning method and apply to business domain challenges
  • Experience with Machine Learning techniques, such as:
  • --- Supervised, unsupervised modeling, reinforcement learning, classification, clustering, etc.
  • --- Deep learning techniques including convolutional neural networks, and the technologies to support them (PyTorch, TensorFlow, Keras, etc)
  • --- Interest in Computer Vision
  • Experience with Visualization tools: Plotly, Matplotlib, Seaborn, ggplot, etc.
  • Natural Language Processing (NLP) Like to Have
  • Conceptual understanding of various database structures: Relational (SQL), Document (MongoDB), Graph (Neo4j), Column (Google BigTable)
  • Strong experience in effective collaboration and technical problem solving within multidisciplinary teams
  • Experience leading small scientific teams (like to have)
  • Exceptional written and verbal communications skills along with experience in preparing and delivering documentation, proposals, presentations, and structured working sessions to all levels in a client organization

    Perks:

  • Competitive Compensation
  • Profit Sharing Bonus
  • Student Loan Reimbursement Program
  • Tremendous growth potential
  • Open and unlimited PTO & Sick time
  • Flexible hours, work from home as needed
  • Company phone plan
  • Medical, dental, vision, & HSA options
  • 401K
  • Parking Included
  • Onsite gym & showers
  • Stocked kitchen with healthy snacks, drinks, coffee, etc
  • Lots of team events including happy hours, catered lunches, and other fun outings
  • Innovative, collaborative, and fun work environment that fosters a positive and supportive culture for growth



    Full-time Employment: Ability to work as a full-time employee

    Job Type: Full-time

    Pay: $100,000.00 - $130,000.00 per year

    Benefits:
  • 401(k)
  • Dental insurance
  • Flexible schedule
  • Health insurance
  • Health savings account
  • Paid time off
  • Parental leave
  • Professional development assistance
  • Retirement plan
  • Tuition reimbursement
  • Vision insurance
    Schedule:
  • Monday to Friday
    Supplemental pay types:
  • Bonus opportunities



    Ability to commute/relocate:
  • Austin, TX 78701: Reliably commute or planning to relocate before starting work (Preferred)

    Education:
  • Bachelor's (Preferred)

    Experience:
  • Python: 4 years (Required)


    Work In person

    • Example 6

    Skills : machine learning, python, REST API, ad attirbution, marketing mix modeling, Robyn, ligtmmm

    Hands-on experience in Building, training and deploying Client models

    10+ years of experience with 7+ in Machine Learning

    Expertise in programming using Python

    Excellent communication skills

    Entrepreneurial attitude and spirit - should be able to think and build business use cases by analysing data

    Should have worked on use cases like mixed media modeling, ad attribution, personalization, campaign optimization, lead scoring, budget optimization

    Working knowledge of libraries like light weight mmm and Robyn

    Expertise in Data Analysis using SQL

    Experience in Client techniques like Clustering, Classification, Regression

    Experience in working with Neural Networks

    Hands-on experience in working with frameworks like Tensor flow, PyTorch, SkLearn

    Working knowledge of deploying Client models as REST APIs

    Working knowledge of Docker/Kubernetes

    Experience in working on Azure/AWS clouds

    Job Type: Full-time

    Pay: Up to $150,000.00 per year

    Schedule:
  • 8 hour shift



    Ability to commute/relocate:
  • Sunnyvale, CA 94086: Reliably commute or planning to relocate before starting work (Required)

    Application Question(s):
  • working with frameworks like Tensor flow, PyTorch, SkLearn
  • Experience in working on Azure/AWS clouds
  • This is a onsite role based Sunnyvale, CA. Please confirm your current location with zip code.
  • looking for Green card and US Citizens for this role. Please confirm your visa status?

    Experience:
  • Data Scientist: 10 years (Preferred)
  • Machine Learning: 7 years (Preferred)
  • Python: 4 years Location: In person

    • Example 7

    Definitive Logic is looking for a motivated data scientist to join our team supporting Federal Agencies in the development and deployment of technology-enabled, real property asset management decision support systems. From harvesting and schema design to machine learning products and decision support, data science at Definitive Logic is an exciting role with many opportunities to positively impact our customer's success. We are looking for professionals to analyze large amounts of data to find patterns and solutions that will improve our client's capabilities to develop investment strategies to sustain large and complex asset management portfolios. Work will require working in teams to solve large, complex problems to achieve interrelated and interdependent objectives.
    The position will be a full-time, remote employee that is part of professional consulting team supporting digital transformation of client asset management systems.
    The position provides highly rewarding work environment with numerous training and professional growth opportunities.

    Responsibilities
  • Identify valuable data sources and automate mining/collection processes.
  • Undertake preprocessing of structured and unstructured data.
  • Analyze large amounts of data/information to discover and articulate trends and patterns.
  • Build predictive models and machine-learning algorithms.
  • Combine models through ensemble modeling.
  • Develop conclusive insights using statistical methods.
  • Make and defend arguments using data and data-based insight.

    Required Qualifications
  • 5+ years' experience as a data scientist, data analyst or data engineer
  • Bachelor's degree in Math, Science, Engineering, or Business
  • Has working knowledge of multiple programming languages and statistical packages, as well as knowledge of dataset tools and Artificial Intelligence/Machine Learning (AI/ML) tools.
  • Critical thinker that is comfortable supporting collaborative problem solving in a team environment
  • Has strong writing and communication skills
  • Willing to travel up to 20% of the time
  • Uphold and lead by example Definitive Logic's Credo of ethical, professional behavior

    Preferred Qualifications
  • Experience developing and working with robotic process automation (RPA) tools
  • Experience working on datasets involving facilities, built infrastructure, physical assets, and real property or real estate portfolios
  • Certifications or experience in project management or software development
  • Experience supporting digital transformation of workflows and business processes
  • Interest in learning about asset management and developing resource management and investment models

    About Definitive Logic
    Definitive Logic (DL) is a management and technology consulting firm known for delivering outcomes and ROI for agencies' most complex business challenges. DL delivers performance-based and outcome-driven technology consulting solutions that directly support the strategic intent of our Defense, Homeland Security, Emergency Management, Federal Civilian and Commercial clients. We're the preferred technology integration partner for Federal agencies to apply the best of data science, app dev, DevSecOps, cyber and cloud solutions to improve decision support, empower front-line employees and enhance back-office operations. We serve as trusted advisors providing objective, fact-based, vendor & technology-neutral consulting services.

    Job Type: Full-time

    Pay: $105,000.00 - $135,000.00 per year

    Benefits:
  • 401(k)
  • 401(k) matching
  • Dental insurance
  • Employee assistance program
  • Flexible schedule
  • Flexible spending account
  • Health insurance
  • Health savings account
  • Life insurance
  • Paid time off
  • Parental leave
  • Professional development assistance
  • Tuition reimbursement
  • Vision insurance
    Schedule:
  • Day shift
  • Monday to Friday

    Experience:
  • Python: 1 year (Preferred)
  • SQL: 1 year Location: Remote

    • Example 8

    Position Title: Data Scientist II
    Remote
    Duration: 6 months+

    Only for US Citizen or GC Card Holder

    Description:
    Data scientists use data and analytical ability to find and interpret rich data sources:
  • manage large amounts of data despite hardware, software, and bandwidth constraints;
  • merge data sources; ensure consistency of data sets;
  • create visualizations to aid in understanding data;
  • build mathematical models using the data;
  • present and communicate the data insights/findings.
  • 2-4 years of experience required.

    Job Type: Full-time

    Salary: $35.00 - $50.00 per hour

    Schedule:
  • 8 hour shift

    Experience:
  • Python: 4 years (Preferred)
  • SQL: 4 years (Preferred)
  • Power BI: 2 years (Preferred)
  • Data visualization: 2 years (Preferred)

    Work Remote

    • Example 9

    Job Description:
  • Exceptional technical writing skills Required 3 Years
  • Ability to communicate complex data in a simple, actionable way Required 3 Years
  • Ability to visualize data in the most effective way possible for a given project or study Required 3 Years
  • Analytical and problem-solving skills Required 3 Years
  • Experience using statistical computer languages (R, Python, SQL, SAS, etc.) to manipulate data and draw insights from large data sets. Required 3 Years
  • Experience with machine learning and AI Required 3 Years
  • Familiarity with data management tools Required 3 Years
  • Ability to work independently and with team members from different background Required 3 Years
  • Excellent attention to detail Required 3 Years
  • Masters or PhD in Informatics, Data Science, or related field, and 3+ years experience Required 3 Years

    Note: Only local to North Carolina can apply.

    Job Types: Full-time, Contract

    Pay: $70.00 - $75.00 per hour

    Schedule:
  • 8 hour Location: One location

    • Example 10

  • Required Skills:
    Must have 5+ years of Data Scientist or equivalent experience working with data (Software Engineering, Database Design, etc.)

  • Must have a software development background in order to prototype custom analytics/tooling

  • Practical experience with data analysis and exploration, especially with diverse data sets

  • Experience in streaming and/or batch analytics (e.g. Kafka, Spark, Flink, Storm, MapReduce, Hadoop)

  • Architect and work closely with other team members to develop scalable cloud-based data analytic solutions

  • Familiar with scalable distributed data processing, management, and visualization tools (e.g. Hadoop, ELK, Kafka, Accumulo, graph databases, etc.).

  • Capable of applying the latest technologies and methodologies in machine learning, data mining, and predictive analytics to correlate disparate datasets and events, and derive value.

  • Has a proven ability to learn quickly and works well both independently as well as in a team setting

    Job Type: Full-time

    Schedule:
  • 8 hour shift

    Ability to commute/relocate:
  • Fort Meade, MD: Reliably commute or planning to relocate before starting work (Required)

    Experience:
  • Python: 1 year (Preferred)
  • SQL: 1 year (Preferred)

    Security clearance:
  • Secret (Preferred)

    Work Location: One location

    Speak with the [phone number]

    • Example 11

    Definitive Logic is looking for a motivated data scientist to join our team supporting Federal Agencies in the development and deployment of technology-enabled, real property asset management decision support systems. From harvesting and schema design to machine learning products and decision support, data science at Definitive Logic is an exciting role with many opportunities to positively impact our customer's success. We are looking for professionals to analyze large amounts of data to find patterns and solutions that will improve our client's capabilities to develop investment strategies to sustain large and complex asset management portfolios. Work will require working in teams to solve large, complex problems to achieve interrelated and interdependent objectives.
    The position will be a full-time, remote employee that is part of professional consulting team supporting digital transformation of client asset management systems.
    The position provides highly rewarding work environment with numerous training and professional growth opportunities.

    Responsibilities
  • Identify valuable data sources and automate mining/collection processes.
  • Undertake preprocessing of structured and unstructured data.
  • Analyze large amounts of data/information to discover and articulate trends and patterns.
  • Build predictive models and machine-learning algorithms.
  • Combine models through ensemble modeling.
  • Develop conclusive insights using statistical methods.
  • Make and defend arguments using data and data-based insight.

    Required Qualifications
  • 5+ years' experience as a data scientist, data analyst or data engineer
  • Bachelor's degree in Math, Science, Engineering, or Business
  • Has working knowledge of multiple programming languages and statistical packages, as well as knowledge of dataset tools and Artificial Intelligence/Machine Learning (AI/ML) tools.
  • Critical thinker that is comfortable supporting collaborative problem solving in a team environment
  • Has strong writing and communication skills
  • Willing to travel up to 20% of the time
  • Uphold and lead by example Definitive Logic's Credo of ethical, professional behavior

    Preferred Qualifications
  • Experience developing and working with robotic process automation (RPA) tools
  • Experience working on datasets involving facilities, built infrastructure, physical assets, and real property or real estate portfolios
  • Certifications or experience in project management or software development
  • Experience supporting digital transformation of workflows and business processes
  • Interest in learning about asset management and developing resource management and investment models

    About Definitive Logic
    Definitive Logic (DL) is a management and technology consulting firm known for delivering outcomes and ROI for agencies' most complex business challenges. DL delivers performance-based and outcome-driven technology consulting solutions that directly support the strategic intent of our Defense, Homeland Security, Emergency Management, Federal Civilian and Commercial clients. We're the preferred technology integration partner for Federal agencies to apply the best of data science, app dev, DevSecOps, cyber and cloud solutions to improve decision support, empower front-line employees and enhance back-office operations. We serve as trusted advisors providing objective, fact-based, vendor & technology-neutral consulting services.

    Job Type: Full-time

    Pay: $105,000.00 - $135,000.00 per year

    Benefits:
  • 401(k)
  • 401(k) matching
  • Dental insurance
  • Employee assistance program
  • Flexible schedule
  • Flexible spending account
  • Health insurance
  • Health savings account
  • Life insurance
  • Paid time off
  • Parental leave
  • Professional development assistance
  • Tuition reimbursement
  • Vision insurance
    Schedule:
  • Day shift
  • Monday to Friday

    Experience:
  • Python: 1 year (Preferred)
  • SQL: 1 year Location: Remote
    • Optimize Your Interviews
    Use our toolkit to optimize your interview process, improve your hiring decisions and enhance the candidate experience.
    Get the Toolkit

    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 salary expectations

    2025-09-0135000.00129608.10282000.00YEARLY
    • Common salary: 129608.10 YEARLY
    • Typical salaries range from 35000.00 - 282000.00 YEARLY
    • Find more information on Indeed Salaries

    *Indeed data – 2025-09-01

    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:

    Optimize Your Interviews
    Use our toolkit to optimize your interview process, improve your hiring decisions and enhance the candidate experience.
    Get the Toolkit

    Three individuals are sitting at a table with a laptop, a disposable coffee cup, notebooks, and a phone visible. Two are facing each other, while the third’s back is to the camera. The setting appears to be a bright room with large windows.

    Hire your next Data Scientist today.

    Build a job description

    Frequently asked questions about Data Scientists

    Job Description Examples

    Need help writing a job description for a specific role? Use these job description examples to create your next great job posting. Or if you’re ready to hire, post your job on Indeed.

    No search results found

      Related articles

      Best Interview Questions to Ask Candidates
      Read article
      How To Hire Employees: A Step-by-Step Guide
      Read article
      Roles and Responsibilities Template (With 3 Samples)
      Read article