Principal Applied Scientist Job at Microsoft Corporation (Redmond)

Principal Applied Researcher AI/NLP

At PointClickCare our mission is simple: to help providers deliver exceptional c...

Location

United States

Salary:

195800.00 - 217500.00 USD / Year

PointClickCare

Expiration Date

Until further notice

Requirements

PhD or comparable level of experience in Computer Science, Math, Physics, Engineering or a related field
4-10+ year industry experience building solutions in commercial SaaS, including at least 4 years working in applications of NLP, Search or AI/ML technologies for healthcare
Strong interest in applying AI/ML/NLP to healthcare related problems and data
Expert-level practical, hands-on experience developing and applying a wide range of techniques in Natural Language Processing, including fine tuning of LLMs and other Transformer models, plus one or more additional AI/ML or Search related areas of expertise to solve real-world problems at scale
Demonstrated ability to lead and perform research and experimentation to select appropriate approaches, algorithms, evaluation methods, and frameworks, as well as tasks such as feature selection, language modeling, evaluation and fine tuning or training models, applying standard approaches or developing new tools or workflows as needed to meet project requirements
Significant experience building and deploying AI/machine learning and NLP models for large-scale SaaS products, including familiarity with industry standard software development concepts such as scaling issues, version control, CI/CD pipelines, and security
Solid understanding and experience with transformer models and multiple kinds of NLP and ML models and approaches including logistic regression, random forest, ensemble methods, SVM, KNN, reinforcement learning, and other ML techniques
Proficiency in Python and Java required. Proficiency in JavaScript or TypeScript and modern UI frameworks for building prototype or tool front ends desired
Proficiency doing data engineering for ML and NLP applications, including exposure to database systems and proficiency with SQL
Proficiency building models from big data using modern packages, models and data analysis stacks such as NumPy, SciPy, Pandas, Scikit-learn, PyTorch, Keras, LightGBM, fastText, NLTK, and spaCy. Proficiency fine tuning Hugging Face Transformers required

Job Responsibility

You will be applying NLP including GenAI and other AI/ML techniques to develop model systems and solutions, collaborating across functions to scale and integrate advanced solutions into successful end user experiences in large-scale cloud based SaaS production environments for healthcare
You will be working with product leaders, clinical informaticists, data scientists, UI/UX researchers and designers, other AI and machine learning and domain experts, engineering teams and others, including work with customers and users who are healthcare professionals
Design, build and evaluate solutions that may involve structured or unstructured data including speech or natural language for healthcare use cases, delivering capabilities such as summarization, predictive models, recommenders, semantic search, extraction, classification or other NLP, AI or machine learning based techniques
You will be performing research and experimentation to select appropriate approaches, algorithms, evaluation methods and frameworks and doing the R&D to deliver model systems
You will perform, oversee and assist in data collection, data cleaning, data analysis, algorithm selection or design, prompt tuning, parameter fine tuning, training, development and evaluation of systems that deliver responsible AI solutions at scale, using existing or developing new tools or workflows as needed
As a principal applied researcher, you will bring deep technical expertise and also provide mentorship on advanced AI, NLP, data science, statistical and machine learning methods and technologies, helping the organization develop new capabilities for innovative solutions
You will have substantial independence and responsibility from day one

What we offer

Benefits starting from Day 1
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more

Fulltime

Principal Data Scientist - Machine Learning Engineering

Atlassian is looking for a Principal Data Scientist to uncover valuable insights...

Location

United States , San Francisco

Salary:

175100.00 - 233400.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

Experience applying your Data Science skills to identify and lead projects which have had impact on business strategy and performance
8+ years of experience in Data Science or related fields. (Preferred - 10+ years experience with a post-graduate degree in a quantitative discipline like Statistics, Mathematics, Econometrics, Computer science)
Expertise in applying a broad variety of ML methods including NLP and LLM to solve business problems and a strong sense of when to apply them to the problem at hand
Experience in managing ML projects end-to-end including deployment and monitoring
Expertise in SQL and a high level of proficiency in another data science programming language (e.g Python, R) with expertise in libraries like Pandas, Numpy, Scikit-learn etc.
A very high bar for output quality, while balancing 'having something now' vs. 'perfection in the future'
Comfort explaining complex concepts to diverse audiences and creating compelling stories for non-data experts
Proficiency in visualization tools (e.g. Streamlit, Tableau)

Job Responsibility

Influence strategy & important decisions around customer friction by surfacing data driven insights
Define, set and report on department level metrics or KRs to the CSS Executive team
Build and implement measurement frameworks, machine learning models and NLP/LLM tooling to accelerate Atlassian’s growth and improve product quality
Foster a world-class Data Science culture by leading training on technical concepts, driving continuous learning and mentoring Data Scientists on the team

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Principal Data Scientist - Machine Learning Engineering

We are looking for a Principal Machine Learning Data Scientist to develop and im...

Location

United States , Remote

Salary:

145300.00 - 233400.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

8+ years of experience in Data Science or related fields
Expertise in applying a broad variety of ML methods including NLP and LLM to solve business problems using large amounts of data
Proven track record of delivering ML projects end-to-end, including designing, development, deployment and monitoring
Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story
Expertise in programming languages such as Python or Java with and the ability to write performant code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)
Agile development mindset, appreciating the benefit of constant iteration and improvement

Job Responsibility

Develop and implement our machine learning algorithms
Train sophisticated models
Collaborate with our technical and non-technical partner teams
Expand our AI/ML functionality in partnership with our CSS and/or Sales organization

What we offer

health coverage
paid volunteer days
wellness resources
bonuses
commissions
equity

Fulltime

Principal Data Scientist

At Atlassian, we're motivated by a common goal: to unleash the potential of ever...

Location

United States , San Francisco

Salary:

201300.00 - 268400.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

8+ Years of Experience in Data Science or related fields
Proficiency in SQL AND another data manipulation programming language (e.g Python, R)
Expertise at telling stories with data and familiarity with at least one visualization tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects, Looker, etc.)
Expertise in applying a broad variety of statistical concepts (e.g. regressions, A/B tests, clustering, probability) to business problems and a strong sense of when to adapt/combine approaches to suit the problem at hand
Experience driving projects or programs that have had a proven impact on business strategy and performance through your analytics skills
A proven track record for crafting analysis into well-written and persuasive content
Experience advising, presenting to and serving as a thought partner to senior executives

Job Responsibility

Collaborate on a variety of product and business problems with a diverse set of cross-functional partners, become a trusted strategic partner, and build credibility through the structure and clarity of your work
Apply technical expertise with quantitative analysis, experimentation, and the presentation of data to develop strategies for our business and help solve the business's biggest challenges
Focus on developing hypotheses through analytical approaches, different methodologies, frameworks, and technical approaches to test them
Define, understand, and test opportunities to improve the products and business and influence roadmaps through insights and recommendations
Partner with cross-functional teams to inform, influence, and execute strategy decisions
Identify and measure the success of product efforts through forecasting and monitoring of key product metrics to understand trends
You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Atlassian
You will use storytelling techniques to communicate insights broadly, including to company leadership teams

What we offer

Health coverage
Paid volunteer days
Wellness resources
Bonuses
Commissions
Equity

Fulltime

Principal Data Scientist

You will be part of a world-class Data Science team that leverages data to drive...

Location

United States , San Francisco

Salary:

167100.00 - 268400.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

8+ years of experience in analytics or related fields
2+ years of experience managing teams of 4+
Advanced proficiency in SQL and knowledge of another data science programming language (e.g Python, R)
Proficiency in at least one analytics & visualization tool such as Tableau, Mode, Looker
Expertise in applying a broad variety of statistical concepts (e.g. regressions, A/B tests, clustering) to business problems and a strong sense of when to adapt/combine approaches to suit the problem at hand
Proven experience influencing business strategy and driving change across organizational boundaries through clear and compelling communication of data-driven insights and analyses

Job Responsibility

Collaborate on a variety of product and business problems with a diverse set of cross-functional partners and become a trusted strategic partner through the structure and clarity of your work
Apply technical expertise with quantitative analysis, experimentation, and the presentation of data to develop strategies for our business and help solve the business's biggest challenges
Focus on developing hypotheses through analytical approaches, different methodologies, frameworks, and technical approaches to test them
Define, understand, and test opportunities to improve the products and business and influence roadmaps through insights and recommendations
Partner with cross-functional teams to inform, influence, and execute strategy decisions
Identify and measure the success of product efforts through forecasting and monitoring of key product metrics to understand trends
Use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Atlassian
Use storytelling techniques to communicate insights broadly, including to company leadership teams
Help structure, build, and grow teams of Data Scientists to deliver strategic impact across product and business areas you support
Work with your team to help them grow through coaching in technical, analytical, and soft skills

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Principal Data Scientist

The Principal Data Scientist – Media Attribution will lead the development of cu...

Location

United States , Bellevue

Salary:

127400.00 - 229800.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Proven experience in marketing and media analytics, with a focus on attribution modeling, causal inference, and media mix optimization
Strong background in machine learning, econometrics, and statistical modeling with applications in marketing measurement
Expertise in Python, R, SQL, and cloud platforms (AWS, GCP, or Azure) for scalable modeling and data processing
Experience with experimental design and incrementality testing in digital and traditional media channels
Ability to communicate complex data science concepts to both technical and non-technical stakeholders, influencing business decisions
Ph.D. or Master’s degree in a quantitative field (e.g., Statistics, Economics, Computer Science, Applied Mathematics)

Job Responsibility

Lead the development and refinement of attribution models (MTA, MMM) to quantify the impact of media investments across channels (digital, social, TV, search, etc.)
Advance causal inference techniques to improve media measurement, including uplift modeling, propensity scoring, and Bayesian methods
Develop forecasting models to predict marketing performance, budget allocation impacts, and long-term customer acquisition trends
Enhance ad testing methodologies, including A/B testing, synthetic control experiments, and incrementality testing, to measure media effectiveness accurately
Collaborate with marketing, finance, and analytics teams to translate model insights into business strategies that drive ROI improvements
Optimize media spend through AI-driven decisioning, leveraging reinforcement learning, Bayesian optimization, and econometric modeling
Stay at the forefront of AI & ML innovations in marketing measurement, driving technical advancements and thought leadership within the team
Work closely with data engineers to scale and automate model deployment, integrating ML solutions into production environments

What we offer

medical, dental and vision insurance
flexible spending account
401(k)
employee stock grants
employee stock purchase plan
paid time off
up to 12 paid holidays
paid parental and family leave
family building benefits
back-up care

Fulltime

Principal Data Scientist

T-Mobile’s Strategy and Corporate Development (S&CD) team is looking for a Princ...

Location

United States , Bellevue; Overland Park

Salary:

127400.00 - 229800.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Quantitative Discipline (math, statistics, economics, computer science, physics, engineering)
Master's/Advanced Degree Quantitative Discipline (math, statistics, economics, computer science, physics, engineering)
7-10 years of industry experience in predictive modeling, data science, and analysis in an ML engineer or data scientist role building and deploying ML models or hands on experience developing deep learning models
7-10 years of Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data
7-10 years of Experience with data scripting languages (e.g., SQL, Python, R) and Extended experience working with relational database using SQL
4-7 years of Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations
4-7 years of Experience with statistical methods and advanced modeling techniques. For example- SVM, Random Forest, graph models, Bayesian inference, NLP, Computer Vision, neural networks
4-7 years of Experience with big data architecture and pipeline, Hadoop, Hive, Spark, Kafka, etc
4-7 years of Experience in data visualization
2-4 years Management consulting, investment banking, or corporate strategy

Job Responsibility

Extract, prepare, and model large, complex data sets using a combination of skills, including machine learning theory, mathematics, statistics, and programming
Identify critical and emerging technologies that will support and extend our consumer data, data integration, and quantitative analytic capabilities
Lead the implementation, assessment and standardization of advanced analytics and modeling toolkits for our data science team
Partner with data engineering teams to shape data management strategies, architecture, governance, pipelines, and infrastructure enabling effective modeling environments for data science teams
Provide senior level guidance to the data science and measurement science teams on approach and methodologies
Communicate important information and insights to business leaders using verbal, written, and data visualization skills

What we offer

competitive base salary and compensation package
annual stock grant
employee stock purchase plan
401(k)
access to free, year-round money coaches
medical, dental and vision insurance
flexible spending account
employee stock grants
paid time off
up to 12 paid holidays

Fulltime

Principal Data Scientist

Working at Atlassian. Atlassians can choose where they work – whether in an offi...

Location

United States , Seattle; San Francisco

Salary:

167100.00 - 268400.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

8+ Years of Experience in Data Science or related fields
Proficiency in SQL AND another data manipulation programming language (e.g Python, R)
Expertise at telling stories with data and familiarity with at least one visualization tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects, Looker, etc.)
Expertise in applying a broad variety of statistical concepts (e.g. regressions, A/B tests, clustering, probability) to business problems and a strong sense of when to adapt/combine approaches to suit the problem at hand
Experience driving projects or programs that have had a proven impact on business strategy and performance through your analytics skills
A proven track record for crafting analysis into well-written and persuasive content
Experience advising, presenting to and serving as a thought partner to senior executives

Job Responsibility

Collaborate on a variety of product and business problems with a diverse set of cross-functional partners, become a trusted strategic partner, and build credibility through the structure and clarity of your work
Apply technical expertise with statistical analysis, experimentation, and the presentation of data to develop strategies for our business and help solve the business's biggest challenges
Focus on developing hypotheses through analytical approaches, different methodologies, frameworks, and technical approaches to test them
Define, understand, and test opportunities to improve the products and business and influence roadmaps through insights and recommendations
Partner with cross-functional teams to inform, influence, and execute strategy decisions
Identify and measure the success of product efforts through forecasting and monitoring of key product metrics to understand trends
Use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Atlassian
Use storytelling techniques to communicate insights broadly, including to company leadership teams

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Principal Applied Scientist

Microsoft Corporation

Location:
United States , Redmond

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 19, 2026

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