Principal Data Scientist Manager Job at Microsoft Corporation (Redmond)

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

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 - 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

GenAI Model Risk Data Scientist

The Model Risk Data Scientist position is for a professional who would like to m...

Location

United States , Jersey City; New York

Salary:

142320.00 - 213480.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

Master's or advanced degree in quantitative fields such as Mathematics, Statistics, Financial Engineering, Quantitative Finance, Computer Science, Data Science, etc.
AI/ML development experience in a Data Scientist role or similar
NLP development experience in a Data Scientist role or similar
Knowledge of AI risk, safety, and ethics principals and hands-on experience with model validation in a financial institution
Experience in GenAI Model validation or AI/ML Model validation
Experience in a quantitative role in the Financial Markets/Banking/Insurance or experience in Risk capacity at a financial services / insurance institution
Strong organizational and project management skills
Risk and Controls mindset

Job Responsibility

Assist development teams with implementing new GenAI solutions from identification through validation phases
Collaborate with developers and business stakeholders on streamlining the adoption of GenAI within Citi
Own and maintain GenAI solution book of work for eligible GenAI use-cases
Assist with preparations for internal discussions and initial submission for model validation
Own relationships with governance-related stakeholders
Monitor and maintain GenAI solution inventory data and lifecycle
Educate development teams on the model validation process
Own tracking and modeling tools

What we offer

medical, dental & vision coverage
401(k)
life, accident, and disability insurance
wellness programs
paid time off packages including vacation, sick leave, and paid holidays
discretionary and formulaic incentive and retention awards

Fulltime

Principal Data Science, GenAI

The Principal Data Scientist at T-Mobile encompasses tasks such as conducting ma...

Location

United States , Bellevue; Overland Park; Frisco

Salary:

127400.00 - 229800.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

7+ years proven 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
4+ years demonstrated ability writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations while articulating and translating business questions and using statistical techniques to arrive at an answer using available data
4+ years experience with data querying, wrangling, cleaning, and feature engineering in big data environments such as AWS, Azure, and Google Cloud
4+ years experience in deploying data mining, visualization, and machine learning solutions using tools like Python, R, SAS in big data environments
Proficiency in SQL for complex data querying and management
Expertise in designing and implementing algorithms for predictive analytics and decision-making
Ability to lead and mentor a team of data scientists, driving project completion and innovation
Hands-on development experience with Azure services (e.g., Logic Apps, Function Apps, App Services, Blob Storage, CosmosDB)
Proficiency in GenAI workflows, including embedding, chunking, and working with LLM models such as GPT-4
Familiarity with managed identities and security integration within Azure environments

Job Responsibility

Leads and mentors a team of data scientists in the development of data science solutions
Manages data science projects from inception to completion, applying advanced analytical techniques
Designs and implements algorithms in data analysis, machine learning, and artificial intelligence
Enhances the company's capabilities in predictive analytics and decision-making
Collaborates with various stakeholders to translate data-driven insights into strategic actions
Contributes to maintaining the company's position as a leader in the telecommunications industry
Participates in other duties or projects as assigned by business management as needed

What we offer

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

Fulltime

Data Scientist 2

Join us on this journey as we execute this mission-critical contract providing h...

Location

United States , Central Maryland

Salary:

122000.00 - 168000.00 USD / Year

RealmOne

Expiration Date

Until further notice

Requirements

Bachelor’s Degree with 3 years of relevant experience, associate’s degree with 5 years of experience may be considered for individuals with in-depth experience that is clearly related to the position
Bachelor’s Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, data structures, data mining, artificial intelligence)
Broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university
Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering
Position requires active Security Clearance with appropriate Polygraph

Job Responsibility

Using AI/ML to impact and assess large datasets, including data modeling, computational mathematics, qualitative and quantitative techniques, data visualizations, and AI/ML model development and deployment
Be well-versed in advanced statistical and predictive modeling, and have large-scale data processing (e.g. Spark, cloud data platforms) and Python and SQL processing
Create data visualization using Tableau, PowerBI, or Python Libraries
Develop automated analytics workflows
Translate complex data into strategic insights
Make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge
Use analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique feature and limitations inherent in Government data holdings
Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data
Effectively communicate complex technical information to non-technical audiences

What we offer

Medical: Three (3) rich healthcare options through CareFirst with 100% or majority company-paid premiums
Tax-advantaged health savings account available with generous employer contribution
Dental + Vision: 100% employer-paid for employees and family, with a buy-up option available
401K – 10% TOTAL CONTRIBUTION – 5% safe harbor – 5% annual profit share (both immediately vested!)
4 weeks starting PTO – 11 federal holidays + 2 floating holidays – Paid hours for company-required training
Access to FREE 24/7 learning via Udemy
Opportunities to participate in tech councils, industry initiatives, etc.
$7,500 annual Educational & Professional Development Assistance
Paid parental leave
Annual swag drops

Fulltime

Principal Data Platform Engineer

Are you passionate about data platforms and tools? Are you an open-minded, struc...

Location

India , Bengaluru

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Deep understanding of big data challenges
Built solutions using public cloud offerings such as Amazon Web Services
Experience with Big Data processing and storage technologies such as Spark, S3, DBT
SQL knowledge
Solid understanding and experience in building RESTful APIs and micro services, e.g. with Flask
Experience with test automation and ensuring data quality across multiple datasets used for analytical purposes
Experience with continuous delivery, continuous integration, and source control system such as Git
Expert level programming skills in OO Programming language like Java, Kotlin or Python
Degree in Computer Science, EE, or related STEM discipline

Job Responsibility

You will partner with analytical teams, data engineers and data scientists across various initiatives working with them to understand the gaps, and bring your findings back to the team to work on building these capabilities
In this role, you will be part of the Analytics Management Platform team under the Data Platform
The team focuses on building the foundation for Atlassian analytical platforms
We are creating frictionless data experiences for data products builders by offering different services and frameworks that help engineers to move fast and enable their users to generate valuable insights from data

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Principal Product Manager, Growth

PagerDuty is seeking a Principal Product Manager to lead our AI growth initiativ...

Location

United States , Atlanta

Salary:

180000.00 - 248000.00 USD / Year

PagerDuty

Expiration Date

Until further notice

Requirements

7+ years of product management experience, with at least 3 years focusing on data-led growth products at SaaS organizations
Experience building enterprise-grade products that leverage Machine Learning or Large Language Models
Proven analytical and problem-solving skills, ideally with a background in data product management: pipelines, ingestion, modeling, governance, and APIs
Strong business acumen and customer empathy with the ability to synthesize qualitative customer feedback with data-led insights (A/B and multivariate testing) to ruthlessly prioritize based on impact

Job Responsibility

Lead the vision, strategy, and execution for AI growth products and services
Align and get buy-in from executive stakeholders around a product roadmap that distills company strategy with qualitative and quantitative customer data, market trends, and competitive insights
Collaboratively work with data scientists, engineers, designers, and product managers to take ambiguous projects and mold them into amazing experiences to delight our customers
Passionate about leveraging user-centric approaches to drive product adoption and growth while also working collaboratively with Marketing, Sales and Customer Success to define and execute successful go-to-market strategies for the products you deliver and manage
Guide the product through Beta, Early Access, and General Access stages, setting clear success criteria and stage-gates for each leg of the journey, making data-driven decisions to optimize and drive maximal impact
Comfortable navigating fast-paced environments, making rapid progress, and aligning diverse stakeholders around a shared vision

What we offer

Competitive salary
Comprehensive benefits package from day one
Flexible work arrangements
Company equity
ESPP (Employee Stock Purchase Program)
Retirement or pension plan
Generous paid vacation time
Paid holidays and sick leave
Dutonian Wellness Days & HibernationDuty - companywide paid days off in addition to PTO
Paid parental leave: 22 weeks for pregnant parent, 12 weeks for non-pregnant parent

Fulltime

Principal Data Scientist Manager

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:
January 26, 2026

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