Senior Data Scientist Job at The New York Times (Roseland)

Senior Data Scientist – Audience Data Product

We are looking for a Senior Data Scientist – Audience Data Product to join our G...

Location

United States , Bethesda, MD

Salary:

52.06 - 82.45 USD / Hour

Marriott Bonvoy

Expiration Date

Until further notice

Requirements

4-year degree from an accredited university in Data Analytics, Computer Science, Engineering, Information Systems, or a similar quantitative discipline, with 4+ years of experience demonstrating progressive career growth and a history of exceptional performance in data science or analytics OR 2+ years of experience in data science or analytics with a Master's degree
Proven experience in building and optimizing audience segmentation and lookalike models for targeted advertising using data science techniques, including clustering, classification, and predictive modeling
Strong experience with writing AI/ML models in Python, Spark or SQL, and familiarity with cloud data warehouses (e.g., Snowflake, AWS) for data processing and model deployment
Demonstrated ability to use data science methodologies (e.g., machine learning, statistical modeling) to analyze and optimize large-scale datasets for audience targeting
Ability to collaborate cross-functionally with marketing, digital, and technology teams to align on broader data strategies and contribute insights to media optimization and performance measurement

Job Responsibility

Design and develop audience segmentation and various lookalike models to optimize targeting across owned & paid channels
Work with cross-functional teams to collect, analyze, and optimize media exposure data for continuous media optimization and audience measurement
Collaborate closely with teams from marketing, digital, and technology to evolve the media data ecosystem, leveraging advanced tools such as cloud data warehouses (Snowflake), data cleanrooms, and customer data platforms (CDPs)
Develop and implement segmentation and modeling strategies
Collaborate with marketing and analytics teams to design and build segmentation models and lookalike models for optimized targeting across paid media channels
Work with the AdTech and IT teams to ensure effective integration and deployment of data infrastructure that supports segmentation and audience activation efforts
Align segmentation models and tactics with the broader organizational data strategy to ensure consistency with long-term business goals and objectives
Collaborate closely with marketing and analytics teams to define key performance indicators (KPIs) and data requirements for optimizing segmentation strategies, improving campaign targeting, and driving ROI
Collaborate with technical teams and vendors (e.g., AWS, Snowflake) to build and enhance infrastructure that supports data-driven segmentation, model development, and performance measurement
Identify and work on improving processes that enhance data quality and reduce manual interventions in segmentation model development and activation workflows

What we offer

Coverage for medical, dental, vision, health care flexible spending account, dependent care flexible spending account, life insurance, disability insurance, accident insurance, adoption expense reimbursements, paid parental leave, 401(k) plan, stock purchase plan, discounts at Marriott properties, commuter benefits, employee assistance plan, and childcare discounts

Fulltime

Senior Data Scientist

The Community Growth team at the Wikimedia Foundation works to improve knowledge...

Location

United States of America , San Francisco

Salary:

106227.00 - 167858.00 USD / Year

Wikimedia Foundation

Expiration Date

Until further notice

Requirements

Fluency in English
Bachelor’s degree and five years related experience OR a Master’s degree and at least three years related experience
or equivalent advanced work experience in data analysis, data science, research and analytics or a related field
Proven experience with programming languages, particularly SQL and Python
Experience calling and working with APIs in Python, including authentication, pagination, and JSON data handling
Experience working with large-scale data processing & storage tools (we use Hadoop, Hive, Presto, and Spark)
Experience with data visualization and dashboarding tools like Apache Superset, Google Looker Studio, or similar tools
Experience with Google Suite (Including the full suite of collaborative apps and advanced coding in Google Sheets/MS Excel)
Ability to address problems of diverse scope using good judgment in selecting methods and techniques for obtaining quality and efficient solutions
Ability to communicate findings and recommendations clearly to colleagues with diverse backgrounds and areas of expertise

Job Responsibility

In partnership with the DL&E Manager, building data systems for grant-funded activities and outcomes that enable standardization and connection with our primary data pipelines
Creation and maintenance of internal data dashboards to track Community Growth programs' outcomes and impacts
Identifying actionable insights from trends and themes across datasets to inform reports and decision-making about grantmaking, partnerships, and programmatic interventions
Designing Community Growth data processes for maximum effectiveness, building data frames and connecting to pipelines for effective and efficient storage and retrieval, basic aggregation and ETL
Collaborating across departments, including with technology data teams, to ensure that calculation of metrics are aligned with Foundation-level metric practices
Proactively identifying requirements to support and improve an evolving data ecosystem

Fulltime

Senior Data Scientist

Data Science is all about breaking new ground to enable businesses to answer the...

Location

United States , Round Rock, Texas; Hopkinton, Massachusetts

Salary:

160000.00 - 206000.00 USD / Year

Dell

Expiration Date

Until further notice

Requirements

Proficient with writing sophisticated, clean, and object oriented Python code
Strong background in math, statistics, and machine Learning knowledge (deep learning, NLP, classification, forecasting, regression) with experience in ML model deployment
Ability to work with internal stakeholders to transfer business questions into data science problem statements
Ability to effectively communicate data science progress to non-technical internal stakeholders and ability to lead a team of data scientists
5+ years of experience as a data scientist

Job Responsibility

Contribute to business strategy and influence decision making based on information gained from deep dive analysis
Produce actionable and compelling recommendations by interpreting insights from complex data sets
Design processes to consolidate and examine unstructured data to generate actionable insights
Partner with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines
Solve business and customer issues utilizing AI/ML
Build prototypes and scalable AI/ML solutions that will be integrated into software products
Collaborate with software engineers, business stakeholders and product owners in an Agile environment
Have complete ownership of model outcomes and drive continuous improvement

What we offer

Comprehensive Healthcare Programs
Award Winning Financial Wellness Tools and Resources
Generous Leave of Absence for New Parents and Caregivers
Industry Leading Wellness Platform
Employee Assistance Program

Senior Data Scientist

KAYAK, part of Booking Holdings (NASDAQ: BKNG), is the world’s leading travel se...

Location

Germany , Berlin

Salary:

Not provided

KAYAK

Expiration Date

Until further notice

Requirements

Advanced degree (Masters, PhD) in Data Science, Statistics or a related field.
Extensive experience with data manipulation and extraction using relational databases (SQL)
Ability to write high quality, scalable, maintainable code (Python, R)
Strong story-telling and presentation skills to understand and communicate in the language of business partners, mostly within Marketing
Strong foundation in experimentation methods and causal inference techniques
Experienced in marketing science measurement methodologies like Causal impact, geo-lift on Google, and Marketing mix models
Proactive work style, needing minimal guidance and demonstrating good judgment
Has a keen sense of success criteria and demonstrates success through end-to-end QA. Independently adheres to strong testing and validation principles
Passionate about large data sets in marketing, finance, and economics. Skilled in paid marketing data, time-series analysis, econometrics, and regression models

Job Responsibility

Manage into end to end experimentation from formulating hypotheses, experiment design to collecting right data, doing power analysis to finally then implementing and analyzing experiment results
Support in the initiatives towards building a robust framework for efficiently creating and evaluating creative, bidding and landing page experiments
Develop new models and advanced analytics techniques to measure and optimize the marketing spend in a robust manner
Support the development of less senior scientists, collaborates with team members to assure timely delivery of high-quality work
Build standardized and scalable solutions, and lead from front in setting up the best practices

What we offer

Work from (almost) anywhere for up to 20 days per year
Company-paid therapy sessions through SpringHealth
Company-paid subscription to HeadSpace
Company-wide week off a year - the whole team fully recharges (and returns without a pile-up of work!)
No meeting Fridays
Paid parental leave
Generous paid vacation + time off for your birthday
Paid volunteer time
Development Dollars
Leadership development

Fulltime

Senior Data Scientist

The Marketing Measurement team's mission is to improve KAYAK's ability to measur...

Location

United States , Cambridge

Salary:

Not provided

KAYAK

Expiration Date

Until further notice

Requirements

Advanced degree (Masters, PhD) in Data Science, Statistics or a related field.
Extensive experience with data manipulation and extraction using relational databases (SQL)
Ability to write high quality, scalable, maintainable code (Python, R)
Strong story-telling and presentation skills to understand and communicate in the language of business partners, mostly within Marketing
Strong foundation in experimentation methods and causal inference techniques
Experienced in marketing science measurement methodologies like Causal impact, geo-lift on Google, and Marketing mix models
Proactive work style, needing minimal guidance and demonstrating good judgment
Has a keen sense of success criteria and demonstrates success through end-to-end QA. Independently adheres to strong testing and validation principles
Passionate about large data sets in marketing, finance, and economics. Skilled in paid marketing data, time-series analysis, econometrics, and regression models

Job Responsibility

Manage into end to end experimentation from formulating hypotheses, experiment design to collecting right data, doing power analysis to finally then implementing and analyzing experiment results
Support in the initiatives towards building a robust framework for efficiently creating and evaluating creative, bidding and landing page experiments
Develop new models and advanced analytics techniques to measure and optimize the marketing spend in a robust manner
Support the development of less senior scientists, collaborates with team members to assure timely delivery of high-quality work
Build standardized and scalable solutions, and lead from front in setting up the best practices

What we offer

Work from (almost) anywhere for up to 20 days per year
Company-paid therapy sessions through SpringHealth
Company-paid subscription to HeadSpace
Company-wide week off a year - the whole team fully recharges (and returns without a pile-up of work!)
No meeting Fridays
Paid parental leave
Generous paid vacation + time off for your birthday
Paid volunteer time
Development Dollars
Leadership development

Fulltime

Senior Data Scientist

The Marketing Measurement team's mission is to improve KAYAK's ability to measur...

Location

Denmark , Copenhagen

Salary:

Not provided

KAYAK

Expiration Date

Until further notice

Requirements

Advanced degree (Masters, PhD) in Data Science, Statistics or a related field
Extensive experience with data manipulation and extraction using relational databases (SQL)
Ability to write high quality, scalable, maintainable code (Python, R)
Strong story-telling and presentation skills to understand and communicate in the language of business partners, mostly within Marketing
Strong foundation in experimentation methods and causal inference techniques
Experienced in marketing science measurement methodologies like Causal impact, geo-lift on Google, and Marketing mix models
Proactive work style, needing minimal guidance and demonstrating good judgment
Has a keen sense of success criteria and demonstrates success through end-to-end QA. Independently adheres to strong testing and validation principles
Passionate about large data sets in marketing, finance, and economics. Skilled in paid marketing data, time-series analysis, econometrics, and regression models

Job Responsibility

Manage into end to end experimentation from formulating hypotheses, experiment design to collecting right data, doing power analysis to finally then implementing and analyzing experiment results
Support in the initiatives towards building a robust framework for efficiently creating and evaluating creative, bidding and landing page experiments
Develop new models and advanced analytics techniques to measure and optimize the marketing spend in a robust manner
Support the development of less senior scientists, collaborates with team members to assure timely delivery of high-quality work
Build standardized and scalable solutions, and lead from front in setting up the best practices

What we offer

Work from (almost) anywhere for up to 20 days per year
Company-paid therapy sessions through SpringHealth
Company-paid subscription to HeadSpace
Company-wide week off a year
No meeting Fridays
Paid parental leave
Generous paid vacation
Time off for your birthday
Paid volunteer time
Development Dollars

Fulltime

Senior Data Scientist

The Marketing Measurement team's mission is to improve KAYAK's ability to measur...

Location

Switzerland , Zurich

Salary:

Not provided

KAYAK

Expiration Date

Until further notice

Requirements

Advanced degree (Masters, PhD) in Data Science, Statistics or a related field
Extensive experience with data manipulation and extraction using relational databases (SQL)
Ability to write high quality, scalable, maintainable code (Python, R)
Strong story-telling and presentation skills to understand and communicate in the language of business partners, mostly within Marketing
Strong foundation in experimentation methods and causal inference techniques
Experienced in marketing science measurement methodologies like Causal impact, geo-lift on Google, and Marketing mix models
Proactive work style, needing minimal guidance and demonstrating good judgment
Has a keen sense of success criteria and demonstrates success through end-to-end QA
Independently adheres to strong testing and validation principles
Passionate about large data sets in marketing, finance, and economics

Job Responsibility

Manage into end to end experimentation from formulating hypotheses, experiment design to collecting right data, doing power analysis to finally then implementing and analyzing experiment results
Support in the initiatives towards building a robust framework for efficiently creating and evaluating creative, bidding and landing page experiments
Develop new models and advanced analytics techniques to measure and optimize the marketing spend in a robust manner
Support the development of less senior scientists, collaborates with team members to assure timely delivery of high-quality work
Build standardized and scalable solutions, and lead from front in setting up the best practices

What we offer

Work from (almost) anywhere for up to 20 days per year
Focus on mental health and well-being: Company-paid therapy sessions through SpringHealth, Company-paid subscription to HeadSpace, Company-wide week off a year - the whole team fully recharges (and returns without a pile-up of work!)
No meeting Fridays
Paid parental leave
Generous paid vacation + time off for your birthday
Paid volunteer time
Focus on your career growth: Development Dollars, Leadership development, Access to thousand of on-demand e-learnings
Travel Discounts
Employee Resource Groups
5 weeks paid vacation

Fulltime

Senior Data Scientist

Are you brimming with fresh ideas to lead our Data Science team in providing dat...

Location

Belgium , Diegem

Salary:

Not provided

Sopra Steria

Expiration Date

Until further notice

Requirements

At least 7+ years of experience in Data Science
Coordinate the development and implementation of solutions with machine and deep learning at our customers
Assess the quality and performance of existing predictive models
Lead a team of talented Data Scientists
Master's degree (or equivalent through experience) in a field that is highly data-driven
Experience with some of the following data science techniques: supervised and unsupervised learning models, deep learning, anomaly detection, recommender systems, natural language processing, computer vision and reinforcement learning
Experience in one of the following languages: Python, R, Spark, Scala, Java or C++
Extensive experience in building and implementing advanced analytics solutions backed up with some reference cases
Well versed in open-source software and libraries in Python and/or R for machine and deep learning
Experience with big data and platforms such as Azure Machine Learning Services and Amazon SageMaker is a plus

Job Responsibility

Lead our Data Science team in providing data-driven solutions to our customers based on the latest machine learning models and deep learning algorithms
Apply skills to real scenarios and in different domains, such as drug discovery in healthcare, fraud detection in banks, the development of recommendation systems in the retail sector, and more

What we offer

Mobility options (including a company car), insurance coverage, meal vouchers, eco-cheques, and more
Continuous learning opportunities through the Sopra Steria Academy
The opportunity to connect with fellow Sopra Steria colleagues at various team events

Fulltime

Senior Data Scientist

The New York Times

Location:
United States , Roseland

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 10, 2026

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