Senior Data Scientist Job at Posh (New York City)

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

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

Our Client is Europe’s leading health, sport, and leisure group. The organizatio...

Location

Ukraine; United Kingdom

Salary:

Not provided

ELEKS

Expiration Date

Until further notice

Requirements

5+ years of experience in Data Science
Experience with GenAI technologies (LLMs, agentic AI, agents, Azure OpenAI API)
Advanced level of English

Job Responsibility

Lead the development and improvement of an AI-powered chatbot integrated into a membership ecosystem for iOS and Android
Ensure scalability, security, and a high-quality user experience in production-ready conversational solutions
Design and optimize conversational flows, personalization features, and integration with client documentation systems
Collaborate with client stakeholders (Product Owners, Digital Director, consultants) to align chatbot strategy with business goals
Mentor and guide junior data scientists within the team
Work closely with cross-functional colleagues (Backend, Mobile, QA, BA, DevOps) in an Agile/Kanban delivery model

What we offer

Close cooperation with a customer
Challenging tasks
Competence development
Ability to influence project technologies
Team of professionals
Dynamic environment with low level of bureaucracy

Senior Data Scientist

As a Senior Data Scientist – Offer, you’ll play a key role in transforming how w...

Location

France , Aix-en-Provence

Salary:

Not provided

Voyage PrivÃ©

Expiration Date

Until further notice

Requirements

Master’s degree in Machine Learning or Data Science, with strong foundations in mathematics, statistics, and computer science
7+ years of experience as a Data Scientist or ML Engineer, ideally in a digital/tech environment
Strong expertise in Python and SQL, version control (GitLab/GitHub), and deploying ML models at scale
Advanced experience with cloud platforms (GCP preferred) and A/B testing frameworks
Excellent communication skills and ability to synthesize complex topics for diverse stakeholders
Autonomous, proactive, and eager to innovate and challenge existing approaches
Communicate well in English and French

Job Responsibility

Act as the go-to expert for AI within the “Offer” domain, understanding key business challenges and proposing new opportunities
Conduct research on cutting-edge algorithms, benchmark them, and apply the most suitable approaches to real-world use cases
Design and deploy at scale high-impact forecasting models to anticipate market demand and optimize supplier negotiations
Collaborate with Data Analysts to run and monitor A/B tests, enabling rapid iteration on new high-value features
Ensure models are accessible and reliable by embedding them into web applications and monitoring real-time performance
Contribute as a technical bar-raiser: uphold coding best practices, lead major code reviews, and introduce new workflows or tools
Strengthen team visibility through blog posts, demos, and participation in meetups or open-source projects

What we offer

Access our large on-site fitness center morning, noon, and night
Private padel court
Company Breaks, Carnival, Annual Convention, meetups and talks
Free tickets to every Provence Rugby home match and live music nights at the Dalida Institute
Up to 20% off our exclusive getaway offers
4 fully remote weeks per year

Fulltime

Senior Data Scientist

Posh

Location:
United States , New York City

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 21, 2026

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