Principal Data Scientist

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

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 Machine Learning System Engineer

As a Principal Machine Learning Systems Engineer, you will lead the design, deve...

Location

United States , Seattle; San Francisco

Salary:

190300.00 - 305600.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

Lead the design, development, and deployment of scalable machine learning (ML) systems and infrastructure
Collaborate closely with data scientists, software engineers, and product teams
Optimize model performance
Ensure system reliability
Implement efficient data pipelines
Drive architectural decisions for high-performance computing and cloud-based ML platforms
Mentor junior engineers
Promote best practices in ML operations (MLOps)
Stay updated on emerging technologies

Job Responsibility

Translate complex ML models into production-ready solutions
Ensure scalability and security
Deliver robust, scalable, and efficient machine learning solutions that support business growth and innovation

What we offer

Health coverage
Paid volunteer days
Wellness resources

Fulltime

Principal Data Scientist

Principal Data Scientist role in Data & AI organization building next-generation...

Location

United States , Jersey City

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Statistics, or related fields (PhD is a plus but not required)
10+ years of deep, hands-on machine learning experience, including building, optimizing, and scaling data-driven models for real-world business impact
Expert-level proficiency in Python and common ML/data libraries such as Pandas, Scikit-learn, TensorFlow, and PyTorch
Extensive experience with data wrangling, cleansing, feature engineering, and ETL pipeline development
Proven experience deploying models in cloud-based or distributed environments

Job Responsibility

Architect, develop, and deploy end-to-end machine learning models across structured and unstructured data sources
Lead the design and optimization of scalable data pipelines to support production-grade ML systems
Partner with engineering, research, and product teams to define requirements and deliver high-impact AI/ML solutions
Conduct model experimentation, analyze results, and continuously refine accuracy, performance, and robustness
Produce clear documentation and communicate insights effectively to both technical and non-technical audiences
Stay ahead of industry advancements in machine learning, data science tools, and emerging methodologies
Support the operationalization, governance, and monitoring of ML models within the company's product ecosystem

What we offer

medical
vision
dental
life and disability insurance
401(k) plan

Fulltime

Senior / Principal Machine Learning Scientist

Our mission is to restore cell health and resilience through cell rejuvenation t...

Location

United Kingdom , Cambridge

Salary:

136000.00 - 261050.00 GBP / Year

Altos Labs

Expiration Date

Until further notice

Requirements

Ph.D. in Machine Learning, Computer Science, Artificial Intelligence, Statistics, or a related quantitative field
6+ years of relevant post-PhD work experience in either an academic or industry setting
Proven experience developing and applying complex machine learning models
A strong track record of leading and publishing innovative, peer-reviewed research in top-tier ML conferences or high-impact scientific journals
Excellent scientific communication skills
Expertise in several of the following: deep learning, reinforcement learning, generative models, language models, computer vision, Bayesian inference, causal reasoning & inference, transfer & multi-task learning, graph neural networks, active learning, hybrid mechanistic/ML models
Proven experience applying sophisticated ML techniques to molecular and cell biological data sets

Job Responsibility

Pioneer novel machine learning methodologies and statistical frameworks
Contribute to setting the long-term technical vision and research strategy for a core domain within the Institute of Computation
Translate your deep understanding of the mathematical and theoretical underpinnings of cutting-edge AI research into high-impact applications
Design, implement, and optimize large-scale machine learning systems using modern frameworks and agile practices
Develop and manage efficient distributed training strategies across multiple GPUs and compute clusters
Develop robust approaches for multi-modal data integration and cross-domain mapping to extract actionable biological insights
Apply computational thinking to solve problems in drug target identification, compound assessment, and prediction of cellular perturbation responses
Lead the full ML development lifecycle from theoretical conception and data strategy through model development, training, and evaluation
Act as a key technical mentor to Machine Learning Scientists and Engineers

Fulltime

Senior / Principal Machine Learning Scientist

Our mission is to restore cell health and resilience through cell rejuvenation t...

Location

United States , Redwood City; San Diego

Salary:

260950.00 - 509450.00 USD / Year

Altos Labs

Expiration Date

Until further notice

Requirements

Ph.D. in Machine Learning, Computer Science, Artificial Intelligence, Statistics, or a related quantitative field
6+ years of relevant post-PhD work experience in either an academic or industry setting
Proven experience developing and applying complex machine learning models
A strong track record of leading and publishing innovative, peer-reviewed research in top-tier ML conferences or high-impact scientific journals
Excellent scientific communication skills
Expertise in several of the following: deep learning, reinforcement learning, generative models, language models, computer vision, Bayesian inference, causal reasoning & inference, transfer & multi-task learning, graph neural networks, active learning, hybrid mechanistic/ML models
Proven experience applying sophisticated ML techniques to molecular and cell biological data sets

Job Responsibility

Pioneer novel machine learning methodologies and statistical frameworks
Contribute to setting the long-term technical vision and research strategy for a core domain
Translate your deep understanding of the mathematical and theoretical underpinnings of cutting-edge AI research into high-impact applications
Design, implement, and optimize large-scale machine learning systems
Develop and manage efficient distributed training strategies across multiple GPUs and compute clusters
Develop robust approaches for multi-modal data integration and cross-domain mapping
Apply computational thinking to solve problems in drug target identification, compound assessment, and prediction of cellular perturbation responses
Lead the full ML development lifecycle
Act as a key technical mentor to Machine Learning Scientists and Engineers

Principal Data Scientist

We are seeking a Principal Data Scientist with deep expertise in forecasting and...

Location

United States

Salary:

Not provided

Duetto

Expiration Date

Until further notice

Requirements

MS or PhD in Statistics, Econometrics, Computer Science, Operations Research, or a related quantitative field
10+ years of experience delivering impactful data science solutions in production environments
Expertise in time series forecasting, including classical methods (e.g., ARIMA, Exponential Smoothing, State Space Models) and deep learning (e.g., RNNs, Temporal Fusion Transformers)
Practical experience with Bayesian modeling, including hierarchical models and probabilistic programming (e.g., PyMC3, Stan)
Proficiency with ML/DL frameworks (e.g., PyTorch, TensorFlow, scikit-learn, DARTS) and programming languages (Python, R, SQL)
Familiarity with cloud platforms and MLOps tools (e.g., AWS SageMaker, MLflow) for scalable model development and deployment
Strong communication and presentation skills, capable of conveying complex analytical concepts to non-technical stakeholders
Experience designing model evaluation and impact measurement frameworks, including causal inference

Job Responsibility

Lead the design, development, and deployment of forecasting and pricing models using a blend of classical time series, deep learning and Bayesian statistical techniques
Develop hierarchical forecasting frameworks, including multi-level Bayesian models, that scale across thousands of hotel properties
Build uncertainty quantification frameworks to increase trust and robustness in forecasts
Guide model architecture choices—balancing complexity, interpretability, and operational feasibility
Collaborate closely with engineering to deploy and monitor models in production (e.g., using AWS SageMaker)
Translate model outputs into actionable insights in partnership with product and business stakeholders
Define and execute model performance measurement strategies, including causal inference and uplift modeling
Present findings, experimental results, and strategic recommendations to senior leadership

Principal Data Scientist - Machine Learning Engineering

Atlassian

Location:
United States , Remote

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 19, 2025

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United States , Remote

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March 19, 2025