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Data Scientist Job Description: Top Duties and Qualifications

Edited by Indeed Employer Content Team
Last updated 16 July 2025
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Your job description is the first touchpoint between your company and your new hire. With millions of people searching for jobs on Indeed each month, a great job description can help you attract the most qualified candidates to your open position. To get you started, here are some tips for creating an effective job description.

Data Scientist job title

A great job title typically includes a general term, level of experience and any special requirements. The general term will optimise your job title to show up in a general search for jobs of the same nature. The level of experience will help you attract the most qualified applicants by outlining the amount of responsibility and prior knowledge required. And if your position is specialised, consider including the specialisation in the job title as well. But avoid using internal titles, abbreviations or acronyms to make sure people understand what your job posting is before clicking.

  • Data Scientist
  • Senior Data Scientist
  • Data Scientist (with SAS proficiency)
  • Data Scientist (Full-Time)
  • Research Analyst

Hire your next Data Scientist today.

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Hire your next Data Scientist today.

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Data Scientist Job Description Examples:

Example 1

Our client established its Canberra office in 2021 and has been steadily broadening its reach in Canberra ever since. They now need a Data Scientist to join their team, ideally with a Baseline security clearance. However, citizens who are a standout candidate will be considered.

About you

  • Combination of deep technical and interpersonal skills to interface with all levels and disciplines within our customer's organisation
  • Demonstrable track record of dealing well with ambiguity, prioritising needs, and delivering results in a dynamic environment
  • Experience in use of SQL, Python, R, Scala, Data Science Platforms
  • Machine Learning and Deep Learning frameworks

    Highly desirable experience:

  • AWS and/or Azure technologies
  • Databases (like Teradata, MS SQL, AWS Redshift)
  • Visualisation tools (Tableau, Qlik, Power BI)
  • DevOps tasks like Git, CI/CD, Docker, Kubernetes
  • Documentation frameworks like CRISP-DM
  • Real-Time technologies (Kafka, Spark Streaming, Kinesis)

    Job Types: Permanent, Fixed term
    Contract length: 12 months

    Salary: $150.00 –$160.00 per hour

    Schedule:
  • Morning shift

    Work (Preferred)

    • Example 2

    Job Description:
  • Experience of working on Integration Technologies like WSO2 or similar
  • Minimum 3 years of hands-on experience on WSO2 ESB, working knowledge of proxy services, connectors, error handling, custom mediators and good debugging skills
  • Certified WSo2 Developer in EI, APIM and IAM
  • Hands-on experience in designing and developing high-volume web services using API Protocols and Data Formats (REST, JSON, SOAP & XML).
  • Experience in WSO2 API Manager for designing API facades and designing and implementing API Proxies.
  • Experience in securing APIs using OAuth, SAML, Open ID Connect, etc.
  • Strong knowledge in API Modelling languages and annotation (YAML/Swagger)
  • Experienced troubleshooting WSO2 ESB, DSS, BPS
  • Solid programming skills using J2EE, Design Patterns, JMS, SOAP/REST Web Services, XSLT, CXF, etc.
  • Experience with all phases of software development life cycle from business requirement analysis to production implementation.
  • Design, Code, test, debug, implement and document complex WSO2 sequences.
  • Extensive development experience in Enterprise Integration, Application Manager and Key Manager.
  • Experience in working with the customer directly which includes initial requirement gathering, day-to-day technical discussions, technical demos, and project delivery
  • Should possess excellent oral, written, problem-solving and analytical skills.
  • Must be able to succeed with minimal resources and supervision.
  • Experience in PSD2 and Open Banking platform

    Job Type: Full-time

    Salary: $110,000.00 – $140,000.00 per year

    Schedule:
  • 8-hour shift

    Application Question(s):
  • Salary Expectation
  • Notice Period
  • Visa Status/ Working Rights
  • Personal Scientist: 5 years (Preferred)

    • Example 3

    Location : Brisbane / Perth

    Roles and Responsibilities:

  • Identify business and performance improvement opportunities across the value chain
  • Work closely with stakeholders to ensure that the relevant business problems are properly defined
  • Investigate complex problems using a structured problem-solving approach
  • Write code and conduct analysis utilising a range of technologies and techniques
  • Research and devise innovative statistical models for data analysis
  • Enable performance improvement by producing actionable insights from data
  • Confidently present ideas, results, and recommendations to stakeholders at all organisational levels
  • Use a structured approach to attain project goals
  • Have strong analytical, critical thinking and creative problem-solving skills
  • Have strong presentation and communication skills
  • Work with a global team in agile environments.

    Skills /Competencies:

    Essential:

  • Tertiary Qualification in IT / Computer Science / related discipline.
  • AWS Sagemaker
  • At least 5 years of relevant experience in programming using Python to:
  • Build descriptive, diagnostic, predictive and prescriptive modelling

  • Perform structured and unstructured data mining

  • Perform dimensionality reduction and feature engineering

  • Apply machine learning and statistical modelling techniques<

  • Proficiency with data mining, mathematics, and statistical analysis
  • Extensive experience in using big data technologies
  • Experience with Excel, PowerPoint, SQL
  • Experience with Agile/Scrum methodology

    Preferred:

  • Practical experience in mining, resources, or similar heavy industry
  • Ability to work in team in diverse/ multiple stakeholder environment.
  • Experience and desire to work in a Global delivery environment.

    Additional Skills:

  • Excellent customer interfacing skills.
  • Excellent written and verbal communication skills.
  • Strong attention to detail and outstanding analytical and problem-solving skills.

    Job Types: Full-time, Permanent

    Salary: Up to $80,000.00 per year

    Benefits:
  • Employee mentoring program
  • Professional development assistance
  • Visa sponsorship
    Schedule:
  • 8-hour shift



    Experience:
  • Python: 6 years (Preferred)
  • Django: 6 years (Preferred)

    Work (Preferred)

    • Example 4

    Data Scientist

    Salary: AUD 100,000 - 115,000 annually | Full Time

    If you are a talented Data Scientist who's passionate about transforming data into actionable insights. Join our esteemed team at Ingrity, where your expertise as a Data Scientist will be crucial for serving our clients.

    At Ingrity:

    Imagine the Impossible: It's not just an aspiration for our clients; we expect the same from our team.

    Ingrity isn't your typical workplace; we thrive on the fusion of Intelligence & Grit. Prioritising personal growth, open communication, continuous learning, career progression, and accountability, we're on the lookout for individuals like you.

    Do you seek roles fostering personal growth, allowing you to excel?

    Do you flourish in a culture that values open communication and diverse perspectives?

    Are you passionate about expanding your skills, eager to join a company that invests in employee development?

    Are integrity and accountability at the core of your values?

    If you answered yes to any of these questions, we invite you to explore opportunities with us and join a team committed to data smart excellence.

    About the job

    We are looking for two aspiring Data Scientists to join our dynamic team.

    Your Responsibilities
  • Working with business partners to identify and refine use cases.
  • Identifying, determining, and shaping data use cases
  • Determining appropriate analytical, statistical, or machine learning approaches to create value.
  • Performing analysis and creating prototypes
  • Communicating and influencing outcomes based on data.
  • Providing requirements to, and partnering with, technology/data engineering teams to productionise data prototypes

    Key Skills & Experience
  • 3 -5 years of working experience in the Data Science space in a fast-paced environment and complex business setting.
  • Interpreting, telling stories, and creating value with data.
  • Curious and business outcome-focused with an ability to quickly understand a business problem and work out how to solve it.
  • knowledge of Data Science principles and experience with data science methodologies.
  • Comfortable working across a wide range of data sets and systems.
  • Practical expertise applying statistical knowledge and machine learning to solve business problems through manipulating and analysing data with SQL and Python/ R.
  • Hand-on experience in Data Visualisation using Tableau/ Power BI.
  • Hands-on experience with statistical analysis and advanced machine learning methods.
  • Work with business users and clients' technical teams in defining the requirements and technical specifications for data transfer, ingestion, and transformation.
  • Ability to work independently and multitask to meet critical deadlines in a rapidly changing environment.
  • Exceptional written, verbal, and interpersonal communication skills to be able to bridge the gap between business and technical teams.

    Educational Qualification:

    Degree in a quantitative discipline such as Mathematics, Statistics, Computer Science, IT, Data Science

    Job Type: Full-time

    Pay: $100,000.00 – $115,000.00 per year

    Schedule:
  • Monday to Friday



    Work Authorisation:
  • Australia
    Location: In person

    • Example 5

    We are currently recruiting for a Senior Data Scientist Power System Analysis.
    We are unique
    We are a regional business that thinks on a global level. We work with determined, passionate and curious people to empower communities to share and use energy for a better tomorrow. With a network that powers 95% of NSW and parts of Southern Queensland, we ensure homes, hospitals, schools, businesses, and services stay connected.
    We are currently recruiting for a Senior Data Scientist Power System Analysis.
    About the role
    Increasing customer access to solar generation, storage and electric vehicles is expected to increase demand on network access, making management of performance and customer outcomes increasingly challenging.
    The Senior Data Scientist is responsible for championing the discipline of data science applied to analysis of the electricity network through delivery of complex modelling and statistical analysis, which enables advanced business insights for better decision-making.
    The role will involve the development and application of various tools, data mining, statistical techniques, algorithms, and machine learning principles to identify trends, patterns, and insights from raw data.
    About You
    You have proven background in applying data science techniques into solving industry problems, including the development and application of analytical tools.
    You are confident in applying conceptual thinking in leading the development of approaches and tools for the analysis and optimisation of solutions to complex problems.
    Qualifications:

  • Bachelor degree in Data Science, Computer Science, or Applied Mathematics or demonstrated capability through past employment experience and/or relevant qualifications.

    Desirable

  • Specialisation in applied mathematics, statistics, and data science

    Experience

  • History of leveraging your data science experience, machine learning, modelling, and advanced analytics skills to build data models
  • Experience in a data science field applying data science and machine learning approaches in industry
  • Demonstrated ability to identify commercial relevance of analysis and manage and be responsible for the delivery these outcomes
  • Proven record of accomplishment in being able to understand the key business problems being explained, source smart data and develop data models needed to add value
  • Experience in development of statistical modelling of large datasets utilising cloud-based resources
  • Experienced troubleshooting and solving complex technical problems on large datasets.

    Skills

  • Capacity to understand available models and develop their application into industry problems
  • Strategic and critical thinking skills with good judgement and supported by a bias for action and outcomes
  • High levels of influencing and communication skills including the ability to liaise effectively with internal and external stakeholders at all levels, supported by excellent writing skills
  • Stakeholder engagement skills and an ability to support senior stakeholders, internally and externally
  • Experience in computer operations, business systems and tools including Hadoop, R, SAS, Python, SQL
  • Strong understanding of digital / technologies and how they drive business value, with working knowledge of cloud-based computing environments and platforms
  • Proven experience disseminating data science solutions for in real-world environments

    We are united in our purpose and we live our values. We love a challenge, thrive in a culture that's all about team work, and we are here for our customers no matter what.
    For further information, please contact Joel Prata on 0419 781 163
    Applications close on Midnight, 26th June 2022

    Passionate People, Global Thinking, Regional Heart.
    Building a better energy future.
    Essential Energy is committed to building a culturally diverse and inclusive workplace and strongly encourages applicants to apply regardless of gender, age, ethnicity, sexual orientation, or disability.
    As an organisation, our aim is to champion inclusivity in the workplace and celebrate the difference in all our Type: Full-time

    • Example 6

    About Us

    Committed to making a difference, InDebted was founded to change the world of consumer debt recovery for good. We're disrupting a broken industry and creating a better way for businesses to recover debt – where the customer comes first.

    We're a global, digital-first and customer-obsessed team of over 200 people, living and working across 11 different countries.

    And we've also recently been named the AFR BOSS Best Place to Work! By focusing on the happiness and wellbeing of our people, we've created a truly flexible, purpose-driven and engaging workplace. We're all here with one shared vision - to remove barriers to financial freedom for all people.

    About the role:

    We are at the forefront of revolutionising our industry by leveraging machine learning and AI models, data-driven approaches, and innovative technology to accelerate our disruption of the traditional debt collection industry. By utilising the rich datasets, we have accumulated from communicating with our customers via digital-first channels and other innovations, we are able to efficiently deliver significantly better results compared to our industry peers.

    We are seeking a passionate and experienced Data Scientist who can leverage their skills to drive business value by improving our key success metrics. You will play a vital role in using data science and machine learning solutions to resolve complex business problems, such as enhancing customer engagement and improving collection performance. This involves end-to-end project management, ranging from the conceptualisation and innovation of solutions to the sourcing and processing of data, and finally to the development, deployment, and monitoring of machine learning models. We also expect that there will be projects requiring support to develop AI solutions leveraging large language models.

    Duties and Responsibilities:

  • Design, develop, and implement machine learning models or AI solutions to address business needs and improve key success metrics.
  • Manage end-to-end machine learning project deployment and ensure seamless integration with existing systems and software.
  • Leverage large datasets to explore, analyse, and interpret trends or patterns in complex data sets.
  • Monitor and maintain deployed models to ensure they continue to perform as expected.
  • Translate complex data science concepts into digestible insights to guide data-informed business decisions.
  • Proactively identify opportunities for, and drive, business value by leveraging state-of-the-art techniques in data science and machine learning.

    Must Have:

  • Tech-savvy, results-oriented individual with a passion for data science and a keen interest in the business side of things.
  • Proven experience as a Data Scientist or similar role, particularly in driving business value and improving key success metrics with data science solutions.
  • Solid understanding and practical experience in machine learning techniques, including model development, deployment, and monitoring.
  • Proficiency in Python and SQL (Snowflake & Athena).
  • Experience working with cloud-based data technologies and services (preferably AWS Athena, Lambda, S3, etc.) .
  • Extensive experience with data sourcing, processing, and manipulation.
  • Strong communication skills, particularly in explaining complex ML problems and techniques to key stakeholders at all levels.

    Nice To Have:

  • Bachelor degree in IT, Mathematics, Statistics, Data Science, Machine Learning, or a related field.
  • Familiarity with containerisation technologies and infrastructure as code tools like Terraform.
  • Knowledge of and experience with LLM and frameworks such as Langchain.

    Tech Stack:

  • SQL, Python, Snowflake, AWS Athena, S3, Langchain

    Job Type: Full-time

    Salary: $130,000.00 $145,000.00 per year

    Benefits:
  • Work from home
    Schedule:
  • 8-hour shift



    Work Authorisation:
  • Australia
    Location: Remote

    • Example 7

    About us

    At South East Water, we deliver healthy water for life. We're here to help people live well and create a better and more sustainable future. We support healthy and liveable communities by delivering water, sewerage and recycled water services to 1.87 million people who rely on us every day and every night. Fresh thinking and collaboration are at the heart of our organisation. We are constantly learning, embracing the challenges of today and excited by the opportunities that tomorrow will bring.

    About the role

    We are looking for innovative graduates from a variety of disciplines who are passionate about making a real difference within the water industry through innovative solutions and exceptional service. Joining our team as a Graduate Data Scientist, you will provide specialist support that ensures we can continue to deliver and improve the reliability of an essential resource.

    Our three-year Graduate Program will introduce you to many facets within your relevant discipline, giving you exposure to different parts of the organisation and the ability to immerse yourself in the collaborative culture of the water industry. Rotating every 12 months, you will have a tailored program, supported by formal professional development training.

    Your desire to cultivate new skills and take on challenges will allow you to maximise the opportunities provided through this placement. Your strong problem-solving abilities combined with a high level of learning agility will allow you to successfully navigate through our fast-paced and dynamic environment. We will provide a unique environment to harness your potential through development programs, a strong team environment and supportive leadership.

    We're looking for purpose-driven individuals who share our values:

  • We put safety first: The wellbeing of all our people, customers and community comes first.
  • We're bold: We strive to excel. We have the courage to challenge ourselves. We're future-focused and accept change is constant.
  • We care: We listen to understand. We do all we can to meet the needs of our people, customers and community.
  • We discover: We search for new ways to deliver value. We're curious and creative, learn from mistakes, and celebrate success.
  • We're real: We embrace diversity. We take responsibility. We do what we say and get things done.
  • We deliver sustainably: Our decisions are made with the understanding every drop and action counts.

    Eligibility to apply

    We're accepting applications from candidates that can meet each of the following criteria:

  • You hold a Bachelor of Data Science
  • You have or will obtain your qualification in 2020, 2021 or 2022
  • You are based in Victoria, with the ability to commute to our WatersEdge office in Frankston, or are willing to re-locate for the program prior to commencement
  • You are an Australian or New Zealand Citizen or hold Australian Permanent Residency

    As an employer of authorised workers, we ultimately need for all of our employees to be able to freely and safely enter any of our workplaces and sites. It's important for the safety of our people and our customers that our workforce is fully vaccinated.

    Our culture

    We're committed to providing an inclusive, diverse and equitable workplace that represents the community we serve. We strongly encourage applications from Aboriginal and Torres Strait Islander people, members of the Lgbtiq+ community, people with disability and from culturally diverse backgrounds.

    We believe great teams do great work. We are ambitious, we work hard and we back one another. We embrace diversity, we challenge ourselves and demand the best because that's what our colleagues, customers and communities deserve. We provide flexible opportunities to work, learn and grow, supporting, encouraging and inspiring you every day. South East Water offers employees a range of benefits, including cultural leave and flexible work arrangements. We invest in our people and offer various development and growth opportunities, and we celebrate success by recognising achievements.

    South East Water corporation acknowledges Aboriginal Traditional Owners of Country throughout our catchment area and pays respect to their cultures and Elders past, present and emerging. Find out more about our Reconciliation Action Plan (RAP). If you would like to speak with an Aboriginal person about these opportunities and working at South East Water, please contact Kirsty Bell, Aboriginal Cultural and Employment Advisor on 0459 470 385.

    The next steps

    Applications for our 2023 Graduate Program intake close at midnight on Thursday, 30th June 2022.

    We'll be reviewing applications shortly following the closing date above. If you are selected, you'll receive an invitation to complete a short video interview and some online game-based activities. If your application is progressed, you'll be required to provide a copy of your latest academic record.
    Type: Full-time
    • Our mission

    Indeed’s Employer Resource Library helps businesses grow and manage their workforce. With over 15,000 articles in 6 languages, we offer tactical advice, how-tos and best practices to help businesses hire and retain great employees.

    Read our editorial guidelines

    Data Scientist job summary

    A great job description starts with a compelling summary of the position and its role within your company. Your summary should provide an overview of your company and expectations for the position. Outline the types of activities and responsibilities required for the job so job seekers can determine if they are qualified, or if the job is a good fit.

    Example of a Data Scientist job summary

    Our leading data management and integration organisation is currently in need of a Data Scientist to join our fast-growing team. The ideal candidate will be intricately involved in running analytical experiments in a methodical manner, and will regularly evaluate alternate models via theoretical approaches. This is the perfect opportunity for the successful candidate to become a part of an innovative and energetic team that develops analysis tools which will influence both our products and clients.

    Data Scientist responsibilities and duties

    The responsibilities and duties section is the most important part of the job description. Here you should outline the functions this position will perform on a regular basis, how the job functions within the organisation and who the employee reports to.

    • Research and develop statistical learning models for data analysis
    • Collaborate with product management and engineering departments to understand company needs and devise possible solutions
    • Keep up-to-date with latest technology trends
    • Communicate results and ideas to key decision makers
    • Implement new statistical or other mathematical methodologies as needed for specific models or analysis
    • Optimise joint development efforts through appropriate database use and project design

    Data Scientist qualifications and skills

    Next, outline the required and preferred skills for your position. This may include education, previous job experience, certifications and technical skills. You may also include soft skills and personality traits that you envision for a successful hire. While it may be tempting to include a long list of skills and requirements, including too many could dissuade qualified candidates from applying. Keep your list of qualifications concise, but provide enough detail with relevant keywords and terms.

    • Master degree in computer science, statistics, applied maths or related field
    • 7+ years’ practical experience with SAS, ETL, data processing, database programming and data analytics
    • Extensive background in data mining and statistical analysis
    • Able to understand various data structures and common methods in data transformation
    • Excellent pattern recognition and predictive modelling skills
    • Experience with programming languages such as Java/Python an asset

    Hire your next Data Scientist today

    Post a job

    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.

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