186 Specialized Fields jobs in Australia

Urgent requirement of  Enterprise Computing Cloud Hybrid Specialist - Contract - Canberra Requirements The Enterprise Computing Hybrid Cloud Specialist will provide specialist advice and support to the Enterprise Computing Delivery Lead. Enterprise Computing Delivery Lead is responsible for contributing to the Department’s future enterprise computing approach and leading any subsequent approaches to market for these services. The Enterprise Computing Hybrid Cloud Specialist will work as part of a leveraged team of technical, commercial, and service delivery specialists under the direction of the Enterprise Computing Delivery Lead.The successful Enterprise Computing Hybrid Cloud Specialist applicant will have a strong technical understanding of private and public cloud enterprise computing technologies, practical hands-on technical experience designing or implementing solutions that utilise public and private cloud enterprise computing technologies, and a strong understanding of contemporary development and service delivery frameworks and models. This includes:Applying their knowledge of the following to various aspects of the program, including but not limited to the development of approach to market requirements for enterprise computing services, evaluating responses, agreeing solutions, and implementing contracted outcomes:How private and public cloud technologies (e.g. servers, storage, networks, security) are integrated to deliver services and solutions to application owners, developers, and end users.How enterprise computing solutions and services can be delivered via private cloud and hyper-scale public cloud provider’s (e.g. Microsoft, AWS) technologies and services.Contemporary identity and access management services for enterprise computing solutions and services.Contemporary development and service delivery frameworks and models such as DevSecOps, SAFe, and Service Integration and Management (SIAM).Cyber Security Essential 8 and how it applies to enterprise computing solutions and services. Essential skills and experience Demonstrated experience as an enterprise computing engineer or solution architect working on private and/or public cloud enterprise computing technologies and services.Demonstrated experience designing and implementing solutions and services utilising hyper-scale public cloud provider’s (e.g. Microsoft, AWS) technologies and services.Demonstrated experience in implementing ICT outsourcing arrangements, including experience in requirements development, tender evaluation, contract negotiation, and service implementation.Demonstrated experience in implementing enterprise computing services within Government.Previous experience in working with a wide range of complex and intertwining issues to identify paths to resolution.Ability to collaborate with technical and non-technical teams to identify gaps in strategy, delivery, and capability, resolve complex issues and seek consensus.Strong written and verbal communication skills to effectively communicate to stakeholders, executive and technical staff. The ability to present information and communicate expectations across conflicting priorities/workloads.The ability to present information and communicate expectations across conflicting priorities/workloads.Ability to work under pressure with close attention to detail. This includes the ability to plan, coordinate, and track the progress of various activities within agreed timelines. Deliverables Working with a diverse array of stakeholders to identify and develop enterprise computing requirements for inclusion in approaches to market.The ability to lead relevant workshops and technical discussions to produce a consensus view or outcome.Developing relevant documentation including current and future state requirements. Duration: 12 months  and possible extension of another 2* 12 months Eligibility:  Australian/NZ Citizens/PR Holders with  Baseline Clearance  holders only Email: 

Job Description

Help people create their tomorrow, while you create yours

We help people with their banking, super, retirement and finances. Through upturns, downturns, recessions, and major life transitions. Every day, we help people see and make more of their financial potential, so that they can create their tomorrow. And we've been doing it for over 175 years.

If we do our job well, we genuinely add to the prosperity of our country and its people.

How will you make an impact

This role is instrumental in advancing AMP's data-driven marketing capabilities through the development and application of advanced analytics, predictive models, and statistical techniques.

By uncovering deeper insights and future trends from complex customer, campaign, and business data, this role enables AMP to deliver more personalised, effective, and measurable marketing strategies across business units. Working closely with marketing managers, product teams, and senior stakeholders, the Marketing Data Scientist translates business questions into analytical solutions, providing robust evidence to inform and optimise marketing investment, targeting, and strategy. The role also brings innovation to the marketing analytics function, introducing new methodologies and automation to drive continuous improvement and competitive advantage.

What you will bring to the role

• Demonstrated experience in a data science, advanced analytics, or similar role, with demonstrable impact in marketing, customer, or commercial domains

• Tertiary qualifications in a quantitative field such as statistics, mathematics, computer science, data science, or a related discipline

• Proven expertise in developing, validating, and deploying machine learning and statistical models using Python, R, or similar tools

• Hands-on experience with data wrangling, feature engineering, and working with large, complex, and unstructured datasets

• Proficiency in data visualisation and storytelling, with experience in tools such as Power BI, Tableau, or similar

• Strong understanding of marketing concepts, customer segmentation, lifecycle marketing, and campaign optimisation

• Experience in cloud-based analytics environments (e.g., AWS, Azure, GCP) and version control (e.g., Git)

• Familiarity with data privacy, security, and governance requirements in a regulated environment

• Experience working collaboratively with cross-functional teams, including marketing, product, and technology

Why we think you'll love working at AMP

Doing what we've always done is not an option, so your clever ideas will get airtime here. You'll be encouraged to speak up and try new things. If they don't work, we move on - better for it.

We know there's no one way of doing things. So, you won't have to sacrifice who you are or how you work to fit in here. We're inclusive and flexible in many of the ways you'd expect. And in some of the ways you wouldn't. As long as your health and wellbeing come first - at home and at work.

In fact, most of what makes AMP such a welcoming, enjoyable place to work are our people. Wherever you go, you'll find moments to connect, feel valued and do meaningful work.

Whether it's through our first-class leaders who are invested in you and your success. Through year-round opportunities to volunteer, fundraise and give back to the community. Or in the everyday challenges you face as we work together to strengthen this great organisation. Challenges that will stretch you, amplify your potential and compound the impact you have.

We believe in the power of inclusion and diversity

We're dedicated to fostering inclusion, diversity, and a warm feeling of belonging at AMP. It sparks creativity, ignites innovation, and turns up the dial on the quality of our decisions and performance. This not only makes our workplace more engaged but also leads to better connections with our customers.

We're your allies in the search for the perfect fit - when you apply, let us know how we can support you to put your best self forward during our selection process.

We're also committed to enhancing employment opportunities for Aboriginal and Torres Strait Islander people, so we enthusiastically encourage candidates from these backgrounds to apply and explore our Reconciliation Plan on our website.

Ready to create your tomorrow?

If you're someone who sees opportunity where others see challenge, come and work with us in smart, progressive ways as we transform an iconic Australian brand for the future. And, through a series of career-defining moments, create your own tomorrow.

Don't procrastinate! We review applications when we get them, and if we discover the ideal candidate, we may close the role earlier than the advertised close date.

Looking forward to meeting you.

Job Info

Location: NEDLANDS, WA

Salary: Award

Job Type: Permanent position | Full time position

Job Description

Job Description AI Talent is on the lookout for a Data Scientist to join our dynamic team. As a Data Scientist, you will apply analytical techniques and scientific procedures to large and complex datasets, using statistical models and machine learning frameworks to uncover actionable insights.

Your work will directly support strategic planning, innovation, and decision-making across the business. SKILLS & EXPERIENCE Qualifications:

Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Experience: Minimum 6 years of professional experience in a Data Science or Advanced Analytics role.

Skills: Prepare and clean structured and unstructured data for analysis; identify and resolve data quality issues. Apply analytics techniques using a combination of mathematics, statistics, programming, and database management skills.

Design, build, and deploy machine learning and artificial intelligence frameworks using tools such as Python, R, TensorFlow, or Scikit-learn. Apply and validate predictive and statistical models to uncover patterns, trends and insights. Evaluate, fine-tune and interpret model outputs to ensure accuracy, relevance, and business impact.

Create dashboards, reports, and compelling data visualisations using tools like Power BI, Tableau, or Plotly. Present data-driven insights and recommendations clearly to non-technical stakeholders and senior decision-makers. Collaborate with cross-functional teams including product, engineering and operations to translate business problems into data science solutions.

Contribute to innovation and experimentation by testing new algorithms and modelling approaches. Provide strategic input into the organisation’s long-term data science roadmap and capability building. Requirements:

Proven ability to independently manage end-to-end data science projects. Strong coding skills in Python or R, and experience with SQL for data extraction and manipulation. Familiarity with cloud platforms (AWS, Azure, or GCP) and data pipelines.

Strong understanding of statistical inference, machine learning, and AI model deployment. Excellent communication skills with the ability to convey complex technical concepts to non-technical audiences. Creative thinker with a passion for problem-solving and continuous learning.

Job Details: Job Type: Full-time, Permanent Work Schedule: 8-hour shift

Salary: $70,000 – $120,000 per year + Super Work Authorisation: Australia (Required) Benefits:

Flexible work-from-home arrangements Opportunity to work on high-impact, data-driven projects Supportive and innovative team culture

About The Team

The International Analytics team is looking for a Data Scientist to guide measurement, strategy, and tactical decision-making using Advanced Analytics approaches, as we expand our logistics platform across the globe. Data Scientists at DoorDash work to uncover insights and turn them into actionable recommendations, helping drive decisions for the entire organisation. Analytics is very integral to all operational areas at DoorDash!

About The Role

Data Science at DoorDash involves diving deeper into our data to solve crucial business problems, ideate & run experiments to solve for insights gleaned from this deep dive and work with a cross-functional team to drive real-world operational change. It is NOT just about building Machine Learning models and putting them into production. This is a rare operational and actionable data-driven experience.

We solve many exciting challenges from all three sides of our marketplace including customer acquisition and growth, fraud and support, marketing, balancing supply and demand, marketplace efficiency, and more. If you enjoy finding patterns amidst chaos and turning them into explainable, actionable insights, are excited to build a market from 0 to 1, and have experience using analytics to affect revenue, growth, operations or beyond, we're looking for someone like you!

You're Excited About This Opportunity Because You Will…

Be a first-class thought partner to our product, business, finance and executive teams and help them make decisions on what’s next for DoorDashUse quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our businessBuild full-cycle analytics experiments, reports, and dashboards using SQL, Python, R, or other scripting and statistical toolsIdentify and measure levers to help move essential metrics and make recommendationsProduce recommendations and use statistical techniques and hypothesis testing and other experimentation techniques to validate your findingsProvide insights to enable our cross-functional team to understand marketplace dynamics, user behaviours, and long-term trendsPossess excellent stakeholder management skills, know how to effectively collaborate well with strategy, operations, product, finance and engineering while prioritizing competing needs

We're Excited About You Because You Have…

2+ years of experience in data analytics, consulting, or related quantitative roleThe insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported wayExperience leading /owning strategic projects to completion with multiple cross-functional teamsExperience working with experimentation techniques (A/B testing, Causal Inference) and interpreting hypothesis testingProficiency in at least one programming language, preferably Python or RVery experienced with SQL queries, Basic ETL, Regression techniques Proficiency in one or more analytics & visualisation tools

About DoorDash

At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.

DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.

Our Commitment to Diversity and Inclusion

We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

If you need any accommodations, please inform your recruiting contact upon initial connection.

Join our Enterprise Technology division where you will have the opportunity to revolutionise the way our company leverages Generative AI technology for staff productivity and sophisticated automation tasks. Our team is composed of talented professionals who are passionate about technology and build robust, scalable and secure platforms.

At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. We are a global financial services group operating in 31 markets and with 56 years of unbroken profitability. You’ll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes.

What role will you play?

As a Data Scientist, you will play a key role in harnessing data to drive strategic decision-making and deliver actionable insights across the organisation. You will apply advanced statistical techniques, machine learning models, and data engineering practices to solve complex business challenges in areas such as risk management, customer experience, team assistant tools, and operational efficiency.

What You Offer

Proficiency in programming languages such as Python or SQLExperience monitoring and optimising model performance, ensuring scalability and efficiency in production environmentsUnderstanding of prompt engineering and fine-tuning large language models for specific tasksKnowledge of optimising RAG based solutions and interacting with various large language modelsExperience implementing solutions with new tools, techniques, and frameworks to improve AI and analytics capabilitiesStrong communication skills, with the ability to explain complex concepts to non-technical stakeholders Excellent problem-solving skills and the ability to work independently or in a team environment Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and Gen AI frameworks (e.g. Langchain).

We love hearing from anyone inspired to build a better future with us, if you're excited about the role or working at Macquarie we encourage you to apply.

About Technology

Technology enables every aspect of Macquarie, for our people, our customers and our communities. We’re a global team that is passionate about accelerating the digital enterprise, connecting people and data, building platforms and applications and designing tomorrow’s technology solutions.

Our commitment to diversity, equity and inclusion

We are committed to fostering a diverse, equitable and inclusive workplace. We encourage people from all backgrounds to apply and welcome all identities, including race, ethnicity, cultural identity, nationality, gender (including gender identity or expression), age, sexual orientation, marital or partnership status, parental, caregiving or family status, family and domestic violence status, neurodiversity, religion or belief, disability, or socio-economic background. We welcome further discussions on how you can feel included and belong at Macquarie as you progress through our recruitment process. To learn more, contact our team by clicking here.

Our aim is to provide reasonable adjustments to individuals who may need support during the recruitment process and through working arrangements. If you require additional assistance, please let us know in the application process.

Job Info

Location: SYDNEY, NSW

Salary: Award

Job Type: Permanent position | Full time position

Job Description

Job Description AI Talent is on the lookout for a Data Scientist to join our dynamic team. As a Data Scientist, you will apply analytical techniques and scientific procedures to large and complex datasets, using statistical models and machine learning frameworks to uncover actionable insights.

Your work will directly support strategic planning, innovation, and decision-making across the business. SKILLS & EXPERIENCE Qualifications:

Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Experience: Minimum 6 years of professional experience in a Data Science or Advanced Analytics role.

Skills: Prepare and clean structured and unstructured data for analysis; identify and resolve data quality issues. Apply analytics techniques using a combination of mathematics, statistics, programming, and database management skills.

Design, build, and deploy machine learning and artificial intelligence frameworks using tools such as Python, R, TensorFlow, or Scikit-learn. Apply and validate predictive and statistical models to uncover patterns, trends and insights. Evaluate, fine-tune and interpret model outputs to ensure accuracy, relevance, and business impact.

Create dashboards, reports, and compelling data visualisations using tools like Power BI, Tableau, or Plotly. Present data-driven insights and recommendations clearly to non-technical stakeholders and senior decision-makers. Collaborate with cross-functional teams including product, engineering and operations to translate business problems into data science solutions.

Contribute to innovation and experimentation by testing new algorithms and modelling approaches. Provide strategic input into the organisation’s long-term data science roadmap and capability building. Requirements:

Proven ability to independently manage end-to-end data science projects. Strong coding skills in Python or R, and experience with SQL for data extraction and manipulation. Familiarity with cloud platforms (AWS, Azure, or GCP) and data pipelines.

Strong understanding of statistical inference, machine learning, and AI model deployment. Excellent communication skills with the ability to convey complex technical concepts to non-technical audiences. Creative thinker with a passion for problem-solving and continuous learning.

Job Details: Job Type: Full-time, Permanent Work Schedule: 8-hour shift

Salary: $70,000 – $120,000 per year + Super Work Authorisation: Australia (Required) Benefits:

Flexible work-from-home arrangements Opportunity to work on high-impact, data-driven projects Supportive and innovative team culture

Do you enjoy solving problems, looking at challenges through a different lens, and working closely with customers to innovate new solutions to complex problems? Do you jump with excitement at the opportunity to identify trends and provide unique business solutions? Do you want to join a team where learning about a new technology or solution is part of our work every day?
The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest challenges. We work closely with our customers' engineers and data scientists to jointly develop code for cloud-based solutions that can accelerate their organization. We work in collaboration with Microsoft product teams, partners, and open-source communities to empower our customers to do more with the cloud. We pride ourselves in making contributions to open source and making our platforms easier to use.
We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges. This work involves the development of broadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform. In this role, you will be working with engineers and data scientists from your team and our customers' teams to apply your skills, perspectives, and creativity to grow as engineers and data scientists and help solve our customers' toughest challenges.
We are hiring a Data Scientist with deep experience in developing and employing statistical and machine learning techniques to deliver business results. As part of our team, you will be working side-by-side with high-impact engineers and data scientists and strategic customers to solve complex problems. You will work cross-functionally with several teams including software engineers, data scientists, product teams, and program management to deploy business solutions.
Our team prides itself on embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique viewpoints and be their authentic selves. Join us and help create life-changing innovations that impact billions around the world!
**Responsibilities**
**Business Understanding and Impact:**
+ Contributes to the adoption of good practice on engagements that employ data science to align with business needs and deliver value. Can articulate the objective of an engagement in both technical and business terms and provide clear linkage between these.
+ Works closely with software engineering and business stakeholders on tasks to include artificial intelligence and machine learning in systems development. Contributes to the prioritisation of work to be undertaken in the engagement.
**Data Preparation and Understanding:**
+ Acquires data necessary for successful completion of the project plan. Proactively detects changes and communicates these to engagement leadership.
+ Builds usable data sets and assets for modelling purposes and contributes to the building of repeatable processes and pipelines to support data acquisition.
+ Contributes to ethics and privacy policies related to the collection and preparation of datasets.
**Modelling and Statistical Analysis:**
+ Has deep and demonstrated understanding of machine learning techniques, including the algorithms and modelling techniques used to deploy production grade machine learning and artificial intelligence solutions.
+ Demonstrated experience evaluating and selecting from multiple modelling approaches and automation of these solutions.
**Evaluation:**
+ Employs appropriate data analysis and modelling techniques. Ensures selected modelling techniques are appropriate and align with desired project outcomes.
**Industry and Research Knowledge/Opportunity Identification:**
+ Provides feedback, drives improvement, and shares knowledge as a data science practitioner. Contributes to ongoing team learning by bringing relevant and leading edge concepts and approaches to the teams attention.
**Coding and Debugging:**
+ Leads by example in contributing code, artefacts, and guidance during the execution of engagements. Writes and debugs code for complex projects. Delivers production quality code in association with software engineers. Employs appropriate approaches to considering security throughout an engagement.
+ Has a good grasp and ability to apply core software engineering principals.
+ Coaches and mentors junior data scientists.
**Business Management:**
+ Collaborates with end customer and Microsoft internal cross-functional stakeholders to understand business needs. Formulates a roadmap of project activity that leads to measurable improvement in business performance metrics over time. Influences stakeholders to make solution improvements that yield business value by effectively making compelling cases through storytelling, visualizations, and other influencing tools. Exemplifies and enforces team standards related to bias, privacy, and ethics.
**Customer/Partner Orientation:**
+ Confirms the business outcomes are feasible and practical and links the approach employed to the business outcomes. Provides customer-oriented insights and solutions by understanding the business, product, data, and customer perspective.
**Qualifications**
**Required Qualifications:**
+ Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., applying statistical techniques, building and evaluating machine learning models, deploying models to production, maintaining models in production and reporting results)
+ OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., applying statistical techniques, building and evaluating machine learning models, deploying models to production, maintaining models in production and reporting results)
+ OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., applying statistical techniques, building and evaluating machine learning models, deploying models to production, maintaining models in production and reporting results)
+ OR equivalent experience.
**Preferred Qualifications:**
+ Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., , applying statistical techniques, building and evaluating machine learning models and reporting results)
+ OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., applying statistical techniques, building and evaluating machine learning models, deploying models to production, maintaining models in production and reporting results)
+ OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., applying statistical techniques, building and evaluating machine learning models, deploying models to production, maintaining models in production and reporting results)
+ OR equivalent experience.
+ Experience working as part of geographically dispersed, diverse, and virtual teams
+ Enjoy travel and are comfortable with travel up to 25%
+ Demonstrated ability to work with customers and collaborate across company boundaries.
+ 3+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.
Our team prides itself on embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique viewpoints and be their authentic selves. Join us and help create life-changing innovations that impact billions around the world!
At Microsoft, we are seeking people who have a passion for the positive impact technology can have on communities and for making a difference in the world. Within ISE, you will find a wide range of backgrounds, perspectives, personal and cultural experiences which are vital to our success with our customers. It's an informal and flexible work environment and you'll be welcome to work in the way that best enables you to get your job done.
We invest in your health, wellness, and financial future by offering a competitive package including a wide range of benefits built around your personal needs and those close to you.
#ISEngineering
#WSS
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .

Do you enjoy solving problems, looking at challenges through a different lens, and working closely with customers to innovate new solutions to complex problems? Do you jump with excitement at the opportunity to identify trends and provide unique business solutions? Do you want to join a team where learning about a new technology or solution is part of our work every day?
The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest challenges. We work closely with our customers' engineers and data scientists to jointly develop code for cloud-based solutions that can accelerate their organization. We work in collaboration with Microsoft product teams, partners, and open-source communities to empower our customers to do more with the cloud. We pride ourselves in making contributions to open source and making our platforms easier to use.
We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges. This work involves the development of broadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform. In this role, you will be working with engineers and data scientists from your team and our customers' teams to apply your skills, perspectives, and creativity to grow as engineers and data scientists and help solve our customers' toughest challenges.
We are hiring a Data Scientist with deep experience in developing and employing statistical and machine learning techniques to deliver business results. As part of our team, you will be working side-by-side with high-impact engineers and data scientists and strategic customers to solve complex problems. You will work cross-functionally with several teams including software engineers, data scientists, product teams, and program management to deploy business solutions.
Our team prides itself on embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique viewpoints and be their authentic selves. Join us and help create life-changing innovations that impact billions around the world!
**Responsibilities**
**Business Understanding and Impact:**
+ Contributes to the adoption of good practice on engagements that employ data science to align with business needs and deliver value. Can articulate the objective of an engagement in both technical and business terms and provide clear linkage between these.
+ Works closely with software engineering and business stakeholders on tasks to include artificial intelligence and machine learning in systems development. Contributes to the prioritisation of work to be undertaken in the engagement.
**Data Preparation and Understanding:**
+ Acquires data necessary for successful completion of the project plan. Proactively detects changes and communicates these to engagement leadership.
+ Builds usable data sets and assets for modelling purposes and contributes to the building of repeatable processes and pipelines to support data acquisition.
+ Contributes to ethics and privacy policies related to the collection and preparation of datasets.
**Modelling and Statistical Analysis:**
+ Has deep and demonstrated understanding of machine learning techniques, including the algorithms and modelling techniques used to deploy production grade machine learning and artificial intelligence solutions.
+ Demonstrated experience evaluating and selecting from multiple modelling approaches and automation of these solutions.
**Evaluation:**
+ Employs appropriate data analysis and modelling techniques. Ensures selected modelling techniques are appropriate and align with desired project outcomes.
**Industry and Research Knowledge/Opportunity Identification:**
+ Provides feedback, drives improvement, and shares knowledge as a data science practitioner. Contributes to ongoing team learning by bringing relevant and leading edge concepts and approaches to the teams attention.
**Coding and Debugging:**
+ Leads by example in contributing code, artefacts, and guidance during the execution of engagements. Writes and debugs code for complex projects. Delivers production quality code in association with software engineers. Employs appropriate approaches to considering security throughout an engagement.
+ Has a good grasp and ability to apply core software engineering principals.
+ Coaches and mentors junior data scientists.
**Business Management:**
+ Collaborates with end customer and Microsoft internal cross-functional stakeholders to understand business needs. Formulates a roadmap of project activity that leads to measurable improvement in business performance metrics over time. Influences stakeholders to make solution improvements that yield business value by effectively making compelling cases through storytelling, visualizations, and other influencing tools. Exemplifies and enforces team standards related to bias, privacy, and ethics.
**Customer/Partner Orientation:**
+ Confirms the business outcomes are feasible and practical and links the approach employed to the business outcomes. Provides customer-oriented insights and solutions by understanding the business, product, data, and customer perspective.
**Qualifications**
**Required Qualifications:**
+ Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., applying statistical techniques, building and evaluating machine learning models, deploying models to production, maintaining models in production and reporting results)
+ OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., applying statistical techniques, building and evaluating machine learning models, deploying models to production, maintaining models in production and reporting results)
+ OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., applying statistical techniques, building and evaluating machine learning models, deploying models to production, maintaining models in production and reporting results)
+ OR equivalent experience.
**Preferred Qualifications:**
+ Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., , applying statistical techniques, building and evaluating machine learning models and reporting results)
+ OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., applying statistical techniques, building and evaluating machine learning models, deploying models to production, maintaining models in production and reporting results)
+ OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., applying statistical techniques, building and evaluating machine learning models, deploying models to production, maintaining models in production and reporting results)
+ OR equivalent experience.
+ Experience working as part of geographically dispersed, diverse, and virtual teams
+ Enjoy travel and are comfortable with travel up to 25%
+ Demonstrated ability to work with customers and collaborate across company boundaries.
+ 3+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.
Our team prides itself on embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique viewpoints and be their authentic selves. Join us and help create life-changing innovations that impact billions around the world!
At Microsoft, we are seeking people who have a passion for the positive impact technology can have on communities and for making a difference in the world. Within ISE, you will find a wide range of backgrounds, perspectives, personal and cultural experiences which are vital to our success with our customers. It's an informal and flexible work environment and you'll be welcome to work in the way that best enables you to get your job done.
We invest in your health, wellness, and financial future by offering a competitive package including a wide range of benefits built around your personal needs and those close to you.
#ISEngineering
#WSS
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .

Do you enjoy solving problems, looking at challenges through a different lens, and working closely with customers to innovate new solutions to complex problems? Do you jump with excitement at the opportunity to identify trends and provide unique business solutions? Do you want to join a team where learning about a new technology or solution is part of our work every day?
The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest challenges. We work closely with our customers' engineers and data scientists to jointly develop code for cloud-based solutions that can accelerate their organization. We work in collaboration with Microsoft product teams, partners, and open-source communities to empower our customers to do more with the cloud. We pride ourselves in making contributions to open source and making our platforms easier to use.
We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges. This work involves the development of broadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform. In this role, you will be working with engineers and data scientists from your team and our customers' teams to apply your skills, perspectives, and creativity to grow as engineers and data scientists and help solve our customers' toughest challenges.
We are hiring a Data Scientist with deep experience in developing and employing statistical and machine learning techniques to deliver business results. As part of our team, you will be working side-by-side with high-impact engineers and data scientists and strategic customers to solve complex problems. You will work cross-functionally with several teams including software engineers, data scientists, product teams, and program management to deploy business solutions.
Our team prides itself on embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique viewpoints and be their authentic selves. Join us and help create life-changing innovations that impact billions around the world!
**Responsibilities**
**Business Understanding and Impact:**
+ Contributes to the adoption of good practice on engagements that employ data science to align with business needs and deliver value. Can articulate the objective of an engagement in both technical and business terms and provide clear linkage between these.
+ Works closely with software engineering and business stakeholders on tasks to include artificial intelligence and machine learning in systems development. Contributes to the prioritisation of work to be undertaken in the engagement.
**Data Preparation and Understanding:**
+ Acquires data necessary for successful completion of the project plan. Proactively detects changes and communicates these to engagement leadership.
+ Builds usable data sets and assets for modelling purposes and contributes to the building of repeatable processes and pipelines to support data acquisition.
+ Contributes to ethics and privacy policies related to the collection and preparation of datasets.
**Modelling and Statistical Analysis:**
+ Has deep and demonstrated understanding of machine learning techniques, including the algorithms and modelling techniques used to deploy production grade machine learning and artificial intelligence solutions.
+ Demonstrated experience evaluating and selecting from multiple modelling approaches and automation of these solutions.
**Evaluation:**
+ Employs appropriate data analysis and modelling techniques. Ensures selected modelling techniques are appropriate and align with desired project outcomes.
**Industry and Research Knowledge/Opportunity Identification:**
+ Provides feedback, drives improvement, and shares knowledge as a data science practitioner. Contributes to ongoing team learning by bringing relevant and leading edge concepts and approaches to the teams attention.
**Coding and Debugging:**
+ Leads by example in contributing code, artefacts, and guidance during the execution of engagements. Writes and debugs code for complex projects. Delivers production quality code in association with software engineers. Employs appropriate approaches to considering security throughout an engagement.
+ Has a good grasp and ability to apply core software engineering principals.
+ Coaches and mentors junior data scientists.
**Business Management:**
+ Collaborates with end customer and Microsoft internal cross-functional stakeholders to understand business needs. Formulates a roadmap of project activity that leads to measurable improvement in business performance metrics over time. Influences stakeholders to make solution improvements that yield business value by effectively making compelling cases through storytelling, visualizations, and other influencing tools. Exemplifies and enforces team standards related to bias, privacy, and ethics.
**Customer/Partner Orientation:**
+ Confirms the business outcomes are feasible and practical and links the approach employed to the business outcomes. Provides customer-oriented insights and solutions by understanding the business, product, data, and customer perspective.
**Qualifications**
**Required Qualifications:**
+ Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., applying statistical techniques, building and evaluating machine learning models, deploying models to production, maintaining models in production and reporting results)
+ OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., applying statistical techniques, building and evaluating machine learning models, deploying models to production, maintaining models in production and reporting results)
+ OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., applying statistical techniques, building and evaluating machine learning models, deploying models to production, maintaining models in production and reporting results)
+ OR equivalent experience.
**Preferred Qualifications:**
+ Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., , applying statistical techniques, building and evaluating machine learning models and reporting results)
+ OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., applying statistical techniques, building and evaluating machine learning models, deploying models to production, maintaining models in production and reporting results)
+ OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., applying statistical techniques, building and evaluating machine learning models, deploying models to production, maintaining models in production and reporting results)
+ OR equivalent experience.
+ Experience working as part of geographically dispersed, diverse, and virtual teams
+ Enjoy travel and are comfortable with travel up to 25%
+ Demonstrated ability to work with customers and collaborate across company boundaries.
+ 3+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.
Our team prides itself on embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique viewpoints and be their authentic selves. Join us and help create life-changing innovations that impact billions around the world!
At Microsoft, we are seeking people who have a passion for the positive impact technology can have on communities and for making a difference in the world. Within ISE, you will find a wide range of backgrounds, perspectives, personal and cultural experiences which are vital to our success with our customers. It's an informal and flexible work environment and you'll be welcome to work in the way that best enables you to get your job done.
We invest in your health, wellness, and financial future by offering a competitive package including a wide range of benefits built around your personal needs and those close to you.
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Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .