Data Scientist

Senior Data Scientist in Marketing Analytics

Join Ekimetrics, a leading data science and AI solutions provider, as a Senior D...

Location

United States , New York

Salary:

110000.00 USD / Year

Assessfirst

Expiration Date

Until further notice

Requirements

Bachelor or Master's degree in a quantitative discipline (statistics, applied mathematics, computer science, economics, operations research, business/MBA) from a leading academic institution
3+ years of experience in Data Analysis / Modeling / Advanced Analytics / Econometrics in a business setting, preferably in a client-facing consulting-oriented role
Passion for data, extensive knowledge of statistics or applied mathematics, experience using advanced analytical methodologies (e.g., regression analysis)
Digital and Marketing strategy curiosity
Experience with statistical software such as Python, R
Strong knowledge of marketing and media strategy, and the key questions for the modern CMO
Excellent communication skills – especially translating complex technical findings into plain language insights
Demonstrated ability to develop new and lasting client relationships across multiple industries
Team oriented and collaborative working style
Management experience and demonstrated ability to develop talent and build a high performing team

Job Responsibility

Design and scope new projects, ensuring the right analyses are applied to client questions and that the business case is achievable
Lead project teams, ensuring the delivery of highly valuable, effective data science solutions that meet client needs, and driving high client value
Support the development of junior colleagues, actively engaging in transversal topics such as thought leadership, innovation streams, knowledge management, and recruitment
Gather and analyze data, build statistical models, and translate quantitative insights into actionable strategic recommendations
Deliver results as a persuasive story
Support client retention and new business opportunities
Contribute to the development of junior consultants through knowledge sharing and mentorship
Help lead our fast growth by contributing to local and global initiatives such as Thought-Leadership, Knowledge Management, Recruitment, Culture, Gender Balance and Diversity teams, Pioneering Machine Learning/AI techniques

What we offer

Medical insurance, dental, and vision
Emphasis on work-life-balance and 20 PTO days per year and holidays
Dynamic environment with a strong culture and great office in FiDi
Close-knit team with friendly environment, bi-monthly team events
Creative and entrepreneurial start-up environment with strong promotion opportunities
Best-in-class methodologies and cutting-edge technologies in marketing analytics
Unique internal training package with 70+ sessions in our Eki.Academy digital platform
Client exposure up to the executive level in different industries and countries
Opportunities for international mobility across our three other offices in Paris, London, Hong Kong and Shanghai
Generous bonus package

Fulltime

Market Risk Data Scientist

The role is for a Market Risk Data Scientist / Python Developer based in London,...

Location

United Kingdom , London

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Advanced level of Python proficiency to translate business requirements into best in class solutions for risk monitoring, P&L explanation, market and risks data analysis, stress testing etc., and a strong appetite to widen both markets and products knowledge and expertise
Knowledge of databases and SQL language
Hands-on attitude where attention to detail and smart project planning is important to produce an insightful, high-quality output within a given time-frame
Team‐work mindset to interact and collaborate on daily basis with senior Market Risk colleagues within the Department on short term deliverables, while being able to work with a good degree of independence on the Market Risk Python-based platform
Basic knowledge of interest rate products (Bonds, Swaps, non-linear derivatives)
Previous exposure to Market Risk concepts and techniques (e.g., Scenario Stress Testing, VaR, FRTB etc.) is beneficial but not necessary
Communicate/ interact with other teams both within Market Risk as well as outside (e.g. Trading, First Line of Defence, IT Dept, Quantitative Research, Risk Control)
Excellent written and verbal communication skills
Quantitative skills including applied mathematics and statistics would be a plus.

Job Responsibility

Maintain, improve and further widen the scope of the existing Python-based infrastructure for risks, including daily risks monitoring, P&L attribution analysis, ad-hoc stress testing, Historical VAR estimation on selected portfolios
Work alongside the team in EMEA on the whole set of daily tasks and deliverables, both internally as well as regulatory driven, when needed
Daily limits monitoring, controls and analysis of risks, attestation of risks measures for regulatory purposes, P&L attribution analysis.

What we offer

Generous holiday allowance starting at 27 days plus bank holidays
increasing with tenure
A discretionary annual performance-related bonus
Private medical insurance packages to suit your personal circumstances
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special discounts for employees, family, and friends
Access to an array of learning and development resources.

Fulltime

Senior Data Scientist - Inference, Global Markets

Partner closely with product managers, designers, engineers and operations acros...

Location

China

Salary:

Not provided

Airbnb

Expiration Date

Until further notice

Requirements

5+ years of industry experience in a fast-paced tech environment with a BS/Master’s in a technical field related to mathematics, computer science, statistics, economics, machine learning
2+ years of relevant experience and a PhD in similar fields
Strong knowledge of causal inference and experimentation
Expertise in SQL, Python or R
Ability to solve business problems using appropriate methods and models
Strong stakeholder communication skills and the ability to translate complex analyses into compelling narratives and business actions

Job Responsibility

Work closely with cross-functional stakeholders to define product scopes, evaluate impact, and set roadmap priorities
Architect and implement rigorous measurement plans, using A/B tests and quasi-experimental methods to assess product success and inform strategic bets
Interpret unexpected outcomes, identify bias in experiments, and drive solutions to ensure measurement quality
Conduct in-depth research into customer behaviors and preferences across markets to unlock opportunities for international business growth
Develop scalable frameworks, models and systems that enable product features to be more refined and tailored to the needs of local markets
Actively present data findings and ideas to stakeholders at different levels, and turn proposals into actions and tangible results for the business and our customers

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 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

Data & Marketing Consultant Intern

Join our New York team (in our office in Brooklyn, Williamsburg) as a Data & Mar...

Location

United States , New York

Salary:

Not provided

Numberly

Expiration Date

Until further notice

Requirements

Currently pursuing a degree: enrolled in a Bachelor’s or Master’s program
Interest in marketing and media: you are sensitive to the impact of original and relevant marketing and media ecosystems
Analytical mindset: you have a keen interest in using data to create meaningful insights and facilitate the transformation of our clients
Problem solver: you excel at listening, contextualizing issues, and developing optimized solutions to address them
Excellent communication skills: strong verbal and written communication abilities
Client-focused mindset: a deep commitment to understanding and prioritizing client needs by promoting and facilitating concrete and operational execution
Fluency in English, an extra language would be a plus

Job Responsibility

Client collaboration: work closely with clients to identify and address their data and marketing challenges using appropriate methodologies (competitive analyses, benchmarks, strategy audit, data, infra)
Identify business challenges: participate in identifying business challenges (and not just the symptoms) through brainstorms, problem solving methods, decision trees based on business, marketing and data hypotheses, as well as design thinking
Data-driven insights: utilize data and marketing expertise to develop actionable insights and optimize client strategies, leveraging the knowledge and tools of our 500 marketing technologists
Cross-functional teamwork: coordinate with a diverse team of experts, including data analysts, data scientists, CRM specialists, media traders, and developers, to deliver comprehensive solutions across sectors such as E-Commerce, Pharma, Retail, Consumer Goods, Luxury, and Financial Services
Knowledge documentation: contribute to the documentation of methodologies, best practices, and market analyses to continually enhance our collective expertise

What we offer

Take part in CSR initiatives with 1000mercis impacts
Ongoing learning, plus a fast and powerful onboarding
Bank holidays
Home days

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

The FX Data Analytics & AI Technology team, within Citi's FX Technology organiza...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

12 to 18 years experience
Master’s degree or above (or equivalent education) in a STEM discipline
Proven experience in software engineering and development, and a strong understanding of computer systems and how they operate
Excellent Python programming skills, including experience with relevant analytical and machine learning libraries (e.g., pandas, polars, numpy, sklearn, TensorFlow/Keras, PyTorch, etc.), in addition to visualization and API libraries (matplotlib, plotly, streamlit, Flask, etc)
Understanding of Gen AI models, Vector databases, Agents and follow the market trends
Experience developing and implementing quantitative models from data in a financial context
Proficiency working with version control systems such as Git, and familiarity with Linux computing environments
Experience working with different database and messaging technologies such as SQL, KDB, MongoDB, Kafka, etc
Familiarity with data visualization and ideally development of analytical dashboards using Python and BI tools
Excellent communication skills, both written and verbal, with the ability to convey complex information clearly and concisely to technical and non-technical audiences

Job Responsibility

Design, develop and implement quantitative models to derive insights from large and complex FX datasets, with a focus on understanding market trends and client behavior, identifying revenue opportunities, and optimizing the FX business
Engineer data and analytics pipelines using modern, cloud-native technologies and CI/CD workflows, focusing on consolidation, automation, and scalability
Collaborate with stakeholders across sales and trading to understand data needs, translate them into impactful data-driven solutions, and deliver these in partnership with technology
Develop and integrate functionality to ensure adherence with best-practices in terms of data management, need-to-know (NTK), and data governance
Contribute to shaping and executing the overall data strategy for FX in collaboration with the existing team and senior stakeholders

What we offer

Global Benefits
We bring the best to our people. We put our employees first and provide the best-in-class benefits they need to be well, live well and save well

Fulltime

Data Scientist - Marketing

bunq

Location:
Netherlands , Amsterdam

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
February 04, 2026

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