Data Scientist

Senior Manager Data Science, Finance

Seasoned and strategic leader to build and guide Finance Data Science team, resp...

Location

United States , San Francisco

Salary:

254000.00 - 299000.00 USD / Year

Checkr

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in a quantitative field like Statistics, Computer Science, Economics, or equivalent experience
10+ years of experience in data science or quantitative roles with progression of impact and seniority
3+ years of direct people management experience
Deep expertise in SQL, Python, modern ELT and data transformation frameworks (e.g. dbt), key ML and forecasting techniques
Demonstrated ability to develop and execute strategic vision and multi-quarter roadmap for data science function
Exceptional stakeholder management and communication skills with ability to influence executive leaders
Strong business acumen with experience applying data science to solve complex financial problems in B2B or SaaS environment

Job Responsibility

Team Leadership & Development: Hire, mentor, and grow high-performing team of data scientists and analysts
Strategic Planning & Vision: Define and own roadmap for Finance Data Science team
Executive Stakeholder Management: Serve as primary data science partner to Finance leadership team
Oversee Financial Modeling & Forecasting: Guide team in developing models to forecast revenue, costs, and key business metrics
Drive Business Performance & Insights: Lead deep-dive analyses into business trends, unit economics, pricing, and new ventures
Technical Excellence: Set bar for technical rigor ensuring modeling, analysis, and data pipelines are robust and production-ready

What we offer

Learning and development allowance
Competitive cash and equity compensation
100% medical, dental, and vision coverage
Up to $25K reimbursement for fertility, adoption, and parental planning services
Flexible PTO policy
Monthly wellness stipend
Home office stipend
Lunch four times a week
Commuter stipend
Snacks and beverages

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

Senior Blockchain Data Scientist

Senior Blockchain Data Scientist position at Ledger, responsible for leveraging ...

Location

France , Paris

Salary:

Not provided

Ledger

Expiration Date

Until further notice

Requirements

2+ years of professional experience in a Data Scientist, Data Engineer, or relevant analytical role
Exceptional proficiency in SQL for complex data extraction, manipulation, and optimization
Significant experience with Python for statistical analysis, modeling, and building data-intensive applications
Proven experience in building and optimizing scalable data pipelines using dbt and Airflow
Direct experience working with public blockchain data (Ethereum, Bitcoin, Layer 2s, DeFi protocols) is a significant advantage
Experience with machine learning, time-series analysis, or predictive modeling is a plus
Excellent ability to communicate technical findings and methodologies to non-technical audiences
Strong interest in cryptocurrencies, blockchain technology, and the Web3 ecosystem

Job Responsibility

Design, build, and maintain robust, scalable data pipelines (ETL/ELT) using tools like dbt and Airflow
Perform in-depth analysis of large-scale, complex blockchain data (on-chain and off-chain) to uncover key trends and optimize product features
Partner with Product, Engineering, and Finance teams to translate business questions into analytical frameworks and deliver actionable recommendations
Monitor company performance, track revenue, and identify user segments to support strategic direction
Design and maintain BI dashboards using tools like Tableau
Ensure data quality and accessibility for the entire organization
Master a cutting-edge technical stack (Python, Snowflake, DBT, Airflow, Generative AI tools)

What we offer

Flexible work options - work from home up to 3 times per week
Health & Wellness support - Health and Life Insurance
Financial growth opportunities - employees can become shareholders in Ledger
Commuter allowance - contribution to preferred means of transportation
Learning & Development - comprehensive suite of training solutions

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

Circle K is seeking a Data Scientist responsible for delivering advanced analyti...

Location

India , Gurugram

Salary:

Not provided

Circle K

Expiration Date

Until further notice

Requirements

A higher degree in an analytical discipline like Finance, Mathematics, Statistics, Engineering, or similar
Experience: 3-4 years for Data Scientist
Relevant working experience in a quantitative/ applied analytics role
Experience with programming, and the ability to quickly pick up handling large data volumes with modern data processing tools, e.g. by using Spark / SQL / Python
Excellent communication skills in English, both verbal and written
Delivery Excellence
Business disposition
Social intelligence
Innovation and agility
Functional Analytics (Retail Analytics, Supply Chain Analytics, Marketing Analytics, Customer Analytics, etc.)

Job Responsibility

Evaluate performance of categories and activities, using proven and advanced analytical methods
Support stakeholders with actionable insights based on transactional, financial or customer data on an ongoing basis
Oversee the design and measurement of experiments and pilots
Initiate and conduct advanced analytics projects such as clustering, forecasting, causal impact
Build highly impactful and intuitive dashboards that bring the underlying data to life through insights
Improve data quality by using and improving tools to automatically detect issues
Develop analytical solutions or dashboards using user-centric design techniques in alignment with ACT’s protocol
Study industry/organization benchmarks and design/develop analytical solutions to monitor or improve business performance across retail, marketing, and other business areas
Work with Peers, Functional Consultants, Data Engineers, and cross-functional teams to lead / support the complete lifecycle of analytical applications, from development of mock-ups and storyboards to complete production ready application
Provide regular updates to stakeholders to simplify and clarify complex concepts, and communicate the output of work to business

Fulltime

Data Scientist - Finance

Lovable

Location:
Sweden , Stockholm

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
March 03, 2026

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