Location: Paris
Workplace: OnSite
ABOUT VOODOO
Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way.
TEAM
Blitz is a gaming platform launched by Voodoo in 2021, allowing players to compete on mobile games for real cash prizes (head-up, tournaments, leagues, etc.). It is leveraging Voodoo's unique game portfolio to engage users in a fun and rewarding way.
ROLE
This role sits at the intersection of the Data and Gaming teams. You'll be the analytical partner to game designers and product managers, owning the measurement and tuning of the games themselves — from difficulty and game parameters to matchmaking fairness and the in-game economy. Your work directly shapes what players experience and how the games perform.
MISSIONS:
- Own the A/B testing cycle for games and game parameters — designing experiments, validating changes, and reading out results that drive core KPIs (engagement, RTP, rake, fairness, retention).
- Analyze and calibrate game parameters — difficulty, scoring, completion rates, seed selection, and payout structures — to hit target player experience and economic goals.
- Translate analyses into clear, actionable recommendations that shape game design and the product roadmap.
- Build simulations and prototypes to pressure-test parameter and economy changes before rollout, then monitor them live once shipped.
- Collaborate closely with game designers and engineers to embed data-driven decisions across the full game lifecycle.
- Build and maintain dashboards and reports that keep the Gaming and Data teams aligned on critical game and economy metrics.
PROFILE
- 3+ years in analytical roles, ideally within gaming or a data-intensive product environment, comfortable working directly with product and design teams.
- Skilled in SQL and Python; experience with large, complex datasets.
- Strong grasp of A/B testing and statistical methods.
- Comfortable with simulation and modeling to reason about game parameters, difficulty, and game economy outcomes.
- Thrives in a fast-paced environment with rapid iteration.
- Player-first mindset with genuine curiosity about games, player behavior, and game balance.
BENEFITS
- Competitive salary based on experience
- Swile Lunch voucher
- Gymlib (100% covered by Voodoo)
- Premium healthcare coverage with SideCare, 100% covered for you and your family
- Wellness activities in our Paris office
- Remote days on Fridays
Location: Remote, California, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
This is a unique role that sits at the intersection of economics, analytics, product, and strategy. You’ll combine rigorous quantitative analysis with customer research and commercial thinking to shape how Fivetran prices, packages, and monetizes its products.
What You’ll Do
Analyze product usage, deal, financial, and billing data to model pricing, packaging, and monetization scenarios.
Design frameworks to assess willingness to pay, customer value, and price realization across customer segments and product lines.
Conduct research on pricing strategies, packaging models, and monetization approaches across comparable and adjacent markets.
Lead pricing and packaging strategy for new product launches, partnering with Product, GTM, and Finance to define commercial models
Build value-based pricing and econometric models to quantify elasticity, customer ROI, and lifetime value.
Design and execute pricing experiments
Synthesize quantitative analysis, customer research, and competitive intelligence into executive recommendations that influence pricing strategy.
Drive customer and prospect research to understand purchasing behavior, value perception, and pricing friction.
Partner closely with Product, Analytics, Finance, Sales, Marketing, and Legal to deliver end-to-end pricing initiatives.
Define KPIs and dashboards that measure pricing performance and identify optimization opportunities.
Continuously evolve our pricing and packaging strategy to improve ARR growth, customer adoption, and value realization.
Skills We’re Looking For
5–8 years designing or operating SaaS or sophisticated B2C pricing models, preferably with usage‑based or behavioral pricing experience
Deep quantitative chops—an advanced degree (PhD/MSc) in Economics, Statistics, Operations Research, Applied Math, or similar
Fluency in SQL and Python for large‑scale data analysis; proficiency with BI tools such as Looker or Tableau; bonus for dbt
Hands‑on experience with conjoint, MaxDiff, Gabor-Granger, or Van Westendorp surveys and causal experiment design
Strong attention to detail and data analysis skills – including interpreting results and recommending actions
Proven record of turning complex models and analyses into recommendations and shipping changes that moved ARR, gross margin, or NRR
Collaborative mindset with Product, Analytics, Finance, Sales, and Legal; you can navigate from whiteboard to contract terms with ease
Strong communication and presentation skills with ability to influence at the executive level
#LI-DJ1 #LI-Remote
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Pay Range
$209,378
—
$261,723 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Требования к кандидату:
- Several years of experience as a Data Scientist
- Strong Python skills
- Strong SQL skills
- Experience building production data products
- Solid understanding of experimentation and statistics
- Experience with modern data warehouses
Meet Arago and the Aragonians Arago is an AI and computer hardware company whose mission is to drive the course of history forward. We do so by accelerating breakthroughs at the intersection of AI and semiconductors. Founded in 2024 by AI researchers and physicists with deep expertise in photonics, electronics, software, mathematics, and machine learning, Arago brings together a lean team of engineers and scientists from the world’s top companies and research labs. Composed of nine nationalities and operating from hubs in France, North America, and Israel, we believe in great science and fast achievements. Our work is guided by these core principles: Do great things: we deliver work we’re proud to sign our name to. High velocity: speed matters. We move quickly, one step at a time. One unit: we’re all in this together, with relationships grounded in trust, respect, and camaraderie. Arago is backed by executives from Apple, Arm, Nvidia, Microsoft, and Hugging Face, as well as prominent US and European deeptech venture firms and exited founders.
Задачи:
— Develop Arago’s quantization strategy for modern AI models, including precision studies, numerical format exploration, and model-level techniques to preserve accuracy under constrained precision.
— Study the impact of analog noise on the performance and inference accuracy of machine learning models, including language models, diffusion, video generation, and world models.
— Develop simulation tools to model analog behavior with minimal computational overhead.
— Build and maintain Arago's internal experimentation pipelines for precision and performance studies on both physical and emulated prototypes.
— Act as a technical point of contact between clients and Arago: analyze, port, and optimize client models onto Arago hardware, balancing throughput and accuracy.
— Collaborate with the software and digital architecture teams to support architectural enhancements based on the operator content of frontier model architectures.
Требования:
— Background in mathematics, physics, computer science, or a related quantitative field.
— Strong interest and skills in applied mathematics and statistics.
— Strong experience with quantization of machine learning and AI models.
— Strong understanding of modern model architectures, including language models, diffusion models, video generation models, and/or world models.
— Experience studying the impact of numerical precision, noise, or approximation on model accuracy.
— Experience with inference performance optimization.
— Good knowledge of computer architecture, GPU architecture, or parallel computing.
— Ability to build rigorous experimentation pipelines and translate research insights into practical engineering decisions.
— GitHub profile with recent and relevant projects.
— Language: English at a proficient level. French is a plus.
Условия:
— Competitive cash compensation, with final package based on location, experience, and the pay of team members in similar positions.
— Meaningful stock option plan offered at the earliest stage of the company (included in the majority of full time offers).
— Relocation bonus and coverage of moving expenses for relocation within 20 minutes of the company’s location.
— Healthcare coverage (including family-friendly options), pension contributions, professional development support, and 25 days of PTO, in addition to public holidays.
— Ownership of a key technical domain, with significant vertical and/or horizontal growth opportunities, based on performance and individual drive.
— Reimbursement of 50% of the public transport subscription fee.
— A high-paced, multicultural (with 10 nationalities), and engineering-led environment.
Задачи:
- написание сервисов для команды рекомендательных систем;
- разработка систем мониторинга качества рекомендательных систем;
- настройка мониторинга и алертинга качества данных;
- написание unit тестов (pytest), тестов для различных участков ML пайплайна, участие в код ревью.
Требования:
- опыт работы с рекомендательными системами от 2х лет;
- опыт полного цикла решения ML-задач: от аналитики до вывода моделей в прод (от 3-х лет);
- отличные знания Python, SQL, классического ML-стека и соответствующих ему библиотек;
- владение одним из DL фреймворков (torch/tensorflow/keras);
- глубокое понимание рекомендательных систем: подходы, типичные проблемы, метрики, А\Б тестирование;
- опыт написания Unit-тестов, разработки архитектуры и Code Review;
- опыт работы с инструментами разработки и CI/CD — Git, Jenkins, GitLab, Jira.
Meet Arago and the Aragonians Arago is an AI and computer hardware company whose mission is to drive the course of history forward. We do so by accelerating breakthroughs at the intersection of AI and semiconductors. Founded in 2024 by AI researchers and physicists with deep expertise in photonics, electronics, software, mathematics, and machine learning, Arago brings together a lean team of engineers and scientists from the world’s top companies and research labs. Composed of nine nationalities and operating from hubs in France, North America, and Israel, we believe in great science and fast achievements. Our work is guided by these core principles: Do great things: we deliver work we’re proud to sign our name to. High velocity: speed matters. We move quickly, one step at a time. One unit: we’re all in this together, with relationships grounded in trust, respect, and camaraderie. Arago is backed by executives from Apple, Arm, Nvidia, Microsoft, and Hugging Face, as well as prominent US and European deeptech venture firms and exited founders.
What you’ll do
As a Senior AI/ML Scientist, you will work at the intersection of modern AI models, numerical precision, and novel computing architectures. Your mission will be to develop the methods that allow AI models to run accurately, efficiently, and reliably on Arago’s computing system. This position combines strong quantization and “digital twin” aspects: understanding how frontier models tolerate reduced precision, defining the right numerical formats and quantization strategies, and building software representations of the processor to model the physical effects that impact AI model accuracy. This role is both scientific and practical. You will help shape the bridge between AI models and Arago’s hardware.
Required Skills and Experience
Background in mathematics, physics, computer science, or a related quantitative field. Strong interest and skills in applied mathematics and statistics. Strong experience with quantization of machine learning and AI models. Strong understanding of modern model architectures, including language models, diffusion models, video generation models, and/or world models. Experience studying the impact of numerical precision, noise, or approximation on model accuracy. Experience with inference performance optimization. Good knowledge of computer architecture, GPU architecture, or parallel computing. Ability to build rigorous experimentation pipelines and translate research insights into practical engineering decisions. GitHub profile with recent and relevant projects. Language: English at a proficient level. French is a plus.
Responsibilities
Develop Arago’s quantization strategy for modern AI models, including precision studies, numerical format exploration, and model-level techniques to preserve accuracy under constrained precision. Study the impact of analog noise on the performance and inference accuracy of machine learning models, including language models, diffusion, video generation, and world models. Develop simulation tools to model analog behavior with minimal computational overhead. Build and maintain Arago's internal experimentation pipelines for precision and performance studies on both physical and emulated prototypes. Act as a technical point of contact between clients and Arago: analyze, port, and optimize client models onto Arago hardware, balancing throughput and accuracy. Collaborate with the software and digital architecture teams to support architectural enhancements based on the operator content of frontier model architectures.
Pay and benefits
Competitive cash compensation, with final package based on location, experience, and the pay of team members in similar positions. Meaningful stock option plan offered at the earliest stage of the company (included in the majority of full time offers). Relocation bonus and coverage of moving expenses for relocation within 20 minutes of the company’s location. Healthcare coverage (including family-friendly options), pension contributions, professional development support, and 25 days of PTO, in addition to public holidays. Ownership of a key technical domain, with significant vertical and/or horizontal growth opportunities, based on performance and individual drive. Reimbursement of 50% of the public transport subscription fee. A high-paced, multicultural (with 10 nationalities), and engineering-led environment.
Задачи:
— Сбор, валидация и анализ данных из внутренних систем, разработка новых метрик и KPI.
— Разработка ML-моделей для анализа временных рядов, прогнозирования сальдо счетов, LTV и оттока клиентов.
— Кластеризация и сегментация базы, разработка моделей скоринга и расчет Life Time (LT).
— Прогнозирование объема обращений и моделирование показателей эффективности (KPI) сервиса.
— Формирование и проверка гипотез для улучшения ключевых бизнес-показателей на основе математических моделей.
Требования:
— Высшее образование в математике, финансах, экономике, информатике, физике, инженерии или аналогичных областях.
— Исследовательский склад ума, творческий подход, настойчивость, инициативность, внимательность к деталям.
— Критическое мышление и способность находить нестандартные подходы.
— Уверенное владение инструментами BI аналитики, знание MySQL, Google Big Query, Python, Git.
— Английский язык на уровне B2.
Условия:
— Работа в европейском офисе с отличным климатом.
— Компенсация перелета и помощь с легализацией (релокационный пакет).
— Конкурентная заработная плата, ДМС и пакет бенефитов.
— Амбициозные задачи.
— Работа в команде профессионалов в комфортабельном офисе в регионе с отличным климатом.
Location: San Francisco, CA or Remote, US
Our vision is to build the next generation platform to enable easy and fast creation of audio and video content powered by cutting-edge AI. Building a revolutionary way to record, transcribe, edit, and mix spoken audio and video comes with a series of unique challenges and requires solving hard and complex problems.
As a lead product data scientist on the team, you will play a critical role in shaping our growth strategy, up-leveling our experimentation culture, and scaling our business.
What You’ll Do
Conduct in-depth analysis to shape product PLG motion and B2B strategy.
Develop deep understanding of the product ecosystem and identify opportunities to drive activation, engagement, and monetization through actionable insights.
Leveraging AI tools to build and maintain self-service analytics enabling stakeholders to access reliable metrics, size opportunities, design experiments, and interpret results independently.
Improve execution rigor of product teams by owning success metrics and opportunity sizing.
Brain buddy with product and engineering teams for day-to-day experiment design, deployment, and analysis. Provide creative solutions for tricky experimentation scenarios.
Evolve experimentation culture and practices within the company.
What You Bring
5–8 years of experience in a Data Scientist or similar role.
3+ years working in a growth function.
Strong business and product intuition to identify opportunities in the growth ecosystem.
Strong knowledge of statistical analysis and A/B tests.
Strong SQL skills and proficient in at least one programming language such as Python or R.
Excellent communication and collaboration skills.
Curiosity, savviness to navigate in a dynamic environment, and a growth mindset.
Having worked at a fast-growing start-up is a plus.
The base salary range for this role is $200,000 - $250,000/year. Final offer amounts will carefully consider multiple factors, including prior experience, expertise, location, level, and may vary from the amount above.
About Descript
Descript is building a simple, intuitive, fully-powered editing tool for video and audio — an editing tool built for the age of AI. We are a team of 150 and the backing of some of the world's greatest investors (
OpenAI
,
Andreessen Horowitz
,
Redpoint Ventures
,
Spark Capital
).
Descript is the special company that's in possession of both product market fit and the raw materials (passionate user community, great product, large market) for growth, but is still early enough that each new employee has a measurable influence on the direction of the company.
Benefits include a generous healthcare package, 401k matching program, catered lunches, and flexible vacation time.
Our headquarters
are located in the Mission District of San Francisco, CA. We're hiring for a mix of remote roles and hybrid roles. For those who are remote, we have a handful of opportunities throughout the year for in person collaboration. For our hybrid roles, we're flexible, and you're an adult—we don't expect or mandate that you're in the office every day. We do believe there are valuable and serendipitous moments of discovery and collaboration that come from working together in person.
Descript is an equal opportunity workplace—we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We believe in actively building a team rich in diverse backgrounds, experiences, and opinions to better allow our employees, products, and community to thrive.
Требования:
— Опыт работы в роли Data scientist от 2 лет;
— Работа с одним из фреймворков PyTorch/TensorFlow;
— Реализация и работа с RAG решениями;
— Знание основных подходов для предобработки и векторизации текста;
— Наличие опыта решения задач NLP для текста (Text Classification, NER, Text Summarization, QA);
— Знакомство и понимание основных принципов современных SOTA моделей NLP;
— Владение: git, docker, sql и одним из фреймворков для реализации api.
Обязанности:
— Работа с одним из фреймворков PyTorch/TensorFlow;
— Реализация и работа с RAG решениями;
— Знание основных подходов для предобработки и векторизации текста;
— Наличие опыта решения задач NLP для текста (Text Classification, NER, Text Summarization, QA);
— Знакомство и понимание основных принципов современных SOTA моделей NLP;
— Владение: git, docker, sql и одним из фреймворков для реализации api.
Задачи:
— Сбор и анализ данных, проведение feature engineering.
— Обучение ML-моделей на табличных данных и их вывод в продакшн.
— Автоматизация пайплайнов сбора данных и моделирования.
— Улучшение ценообразования в ЖД-направлении, автобусах, электричках и аренде авто с помощью ML.
— Подготовка отчетности и презентация итогов работы бизнес-заказчикам.
Требования:
— Опыт работы в Data Science не менее 3 лет.
— Опыт решения задач в ценообразовании, предиктивной аналитике, uplift-моделировании или ранжировании.
— Владение стеком: Python, SQL, ClickHouse, S3, FastAPI.
— Опыт работы с Feature Store / Feast.
Условия:
— Гибкий выбор формата работы: офис, гибрид или full remote.
— Работа в структурированной команде (DS, MLOps, Lead) с использованием OKR для синхронизации целей.
— Регулярные планирования и синки для прозрачности процессов.
— Ценности команды: вовлечённость, инициативность и ответственность.
Задачи:
- Разработка ML-моделей на различных типах данных: табличные, графовые, NLP и событийные последовательности для прогнозирования отказов и сбоев в оборудовании;
- Решение задач дискретной оптимизации;
- Участие в исследовании новых источников данных и развитии feature store (в Apache Doris);
- Поддержка полного цикла разработки DS/ML-продуктов - от идеи до продакшена;
- Участие в создании и развитии AI-агента на базе LLM - от экспериментов до реального применения.
Требования:
- Опыт в роли Data Scientist от 1.5 лет;
- Опыт end-to-end разработки ML-решений: от постановки задачи и работы с бизнесом до внедрения в production и поддержки моделей;
- Отличное знание Python и глубокое понимание классических алгоритмов машинного обучения, опыт работы с NLP, временными рядами, задачами детекции аномалий;
- Опыт работы с deep learning, включая RNN-like архитектуры и трансформеры;
- Умение работать с БД (SQL), собирать и обрабатывать данные;
- Уверенное понимание A/B-тестирования;
- Высшее техническое образование.
Location: New York, NY (HQ); San Francisco, CA; Remote (US)
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
We’re looking for someone to help lead the future of analytics at Ramp. This person will enable Ramp to get 1% better every day by developing data products and insights. They will partner closely with business stakeholders and product, engineering, and design counterparts to prioritize and execute on work, improve reporting, as well as drive results and process improvements.
WHAT YOU’LL DO
- Full stack development, building models to consume, transform, and expose data to stakeholders and production systems
- Drive a culture of experimental design, testing agenda, and best practices
- Contribute to the culture of Ramp’s data team by influencing processes, tools, and systems that will allow us to make better decisions in a scalable way
- Collaborate with P/E/D/D (product, engineering, data and design) teams to develop product roadmaps and measure success
- Work closely with data engineering teams to capture, move, store, and transform raw data into highly actionable insights, and partner with business teams to turn those insights into action
WHAT YOU NEED
- Minimum of 4 years of industry experience as a Data Scientist
- Strong knowledge of SQL (preferably Redshift, Snowflake, BigQuery) and how to write efficient SQL queries
- Familiarity with BI tools (preferably Looker, Omni, Sigma, Hex or equivalent) and experience distributing data insights via reports and dashboards
- Track record of shipping high quality products and features at scale
- Ability to thrive in a fast-paced, constantly improving, start-up environment that focuses on solving problems with iterative technical solutions
NICE-TO-HAVES
- Experience with the modern data stack (Fivetran / Snowflake / dbt / Looker / Hightouch or equivalents)
- Strong perspective on analytics engineering development cycle (data modeling, version control, documentation + testing, best practices for codebase development)
- Experience within the payments and financial technology space
- Familiarity with B2B enterprise sales cycle metrics and processes
ABOUT OUR TEAMS
- Product Data | Ramp’s Product Data team is responsible for delivering data products and insights that shape Ramp’s product direction and unlock business value. The Product Analytics team is also responsible for building out the platform through which new products are launched, instrumented, tested, and QA’d. The team embeds deeply as a partner to engineering, product, and design.
- Risk & Capital Markets Data | Ramp’s Risk Data team is responsible for how risk is evaluated, and building the risk infrastructure to scale to millions of businesses in the United States. Areas include risk operations and underwriting, limit setting and pricing across financial products as well as fraud detection, regulatory reporting, and capital market relationships.
- Growth Data | Ramp's Growth Data team ships data products and insights that allow Ramp to acquire new business and expand existing business and partnerships at scale. Current areas of focus include: Web & Martech, Outbound Automation, Customer Data Platform, Self-Service Product, GTM Strategic Finance, and Business Systems.
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: Limassol Cyprus
Workplace: OnSite
About Scorewarrior.
We're a game developer and publisher from Cyprus with one single game in the 4x strategy genre: Total Battle. We're a one-game company on purpose, because in everything we do, we focus
We are currently concentrating on two major goals:
- To make our game #1 in its genre.
- To make our company the best place to work on games.
And we're far from there; we still have a lot of work to do.
That's why we need you.
Let's dive in.
As our marketing Senior Data Scientist you will play a key role in optimizing our marketing strategies by providing meaningful insights through advanced modeling. Your primary focus will be to build predictive models that forecast user payment behavior by Day30, based on in-game activity data collected during the first 7 days of a user’s lifetime.
Key responsibilities.
- Build and refine predictive models to forecast users payment likelihood.
- Explore and process large volumes of in-game event data to uncover patterns relevant for forecasting.
- Collaborate with the marketing team to ensure that the models drive better user acquisition decisions.
- Effectively manage large datasets, ensuring timely and precise insights.
You could be a great fit for this position If:
- You have at least 4 years of experience in data science.
- You have a proven track record in creating and implementing predictive models related to customer behavior.
- You possess strong Python skills and experience with key machine learning libraries (scikit-learn, pandas, numpy, XGBoost, LightGBM, TensorFlow, PyTorch).
- You have experience working with large datasets and are capable of effectively diving deep into detailed analyses.
- You excel at translating complex analytical concepts into clear insights and recommendations for stakeholders across all levels.
- You love game development.
- Your English is B1 and higher, you Russian is B2 and higher.
Why Scorewarrior?
- Work with a product you love: Total Battle is more than just a job; it's a passion project.
- Join a highly skilled team: We're a nerdy group of talented individuals who love what we do.
- Make a real impact: Your work pulls the best people together to get us to that number-one app store spot.
- Stability: Start working with a stable three-year contract with the potential to extend it to infinity and beyond.
- An excellent remuneration package, including a 13th salary.
- Full-coverage relocation for you and your family to Cyprus (Limassol).
- Private health insurance for you and your family members.
- A monthly pre-school, school, and university allowance for employees' children.
- Lunch compensation.
- A sports and fitness allowance.
- Personal development opportunities paid for by the company: professional and language courses, books, etc.
- Bonuses for outstanding results, years worked, getting married, and the birth of a child.
- Monthly office parties and epic, annual offsite company birthday and Christmas parties.
Do you accept the challenge?
Apply today!
Location: Americas Remote
About
Customer.io
Over 9,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day.
Customer.io
powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data.
About the role
Hi, my name is Michael, Head of Data & Analytics at
Customer.io
, and I'm looking for a Senior Data Scientist to help our teams make better decisions using customer and product data.
You'll partner closely with Product, Marketing, and Customer Experience to evaluate product changes, design and analyze experiments, identify opportunities to improve the customer experience, and influence roadmap and business priorities. This is a hands-on role focused on analyzing behavior, building models, and turning data into clear, actionable direction.
This role is ideal for someone who enjoys solving ambiguous problems, working closely with stakeholders, and applying data science pragmatically to support product and business decisions. We're looking for someone with an ownership mindset and a bias for action who balances technical rigor with practical decision-making.
What we value
Ownership:
You take initiative and drive analytical work from concept to implementation. You don't wait for perfect requirements — you help define the problem and move the work forward.
Curiosity:
You naturally question assumptions and dig deeper into the "why" behind user behavior. You enjoy uncovering patterns in complex data and have the persistence to work through ambiguity and messy datasets.
Analytical Rigor:
You bring a thoughtful, structured approach to analytics and decision-making. You know how to define meaningful measures of success, evaluate changes with rigor, and distinguish signal from noise in complex behavioral data so teams can act with confidence.
Communication:
You can translate complex analytical concepts into clear recommendations for Product Managers, executives, and non-technical stakeholders.
Collaboration:
You work as a true cross-functional partner, balancing analytical rigor with practical business needs. You build trust by making data approachable, actionable, and reliable.
What you'll do
Analyze behavioral patterns across the customer lifecycle to identify trends, usage archetypes, and opportunities to improve adoption, engagement, and retention.
Design experiments and measurement approaches to evaluate the impact of product and marketing changes - and help teams make decisions based on evidence rather than intuition.
Build models and datasets that improve how teams segment customers, forecast outcomes, and identify trends.
Apply machine learning and AI techniques where they solve practical problems, for both internal decision-making and customer-facing scenarios.
Partner with Data Engineering to improve the quality, reliability, and accessibility of core data and metrics.
Communicate findings clearly and directly so teams can make informed decisions without needing a statistics background.
What we're looking for
5+ years of experience in a Data Science role within B2B SaaS or a similar product- or growth-focused environment.
Strong foundation in statistics, experimentation, and behavioral analytics - with the ability to apply them pragmatically to real product and business problems.
Proficiency in SQL and Python for large-scale analysis, modeling, and exploration.
Experience with modern cloud data platforms (Snowflake, BigQuery, or similar); familiarity with dbt is a plus.
Strong communication and stakeholder skills - you can explain complex analysis clearly to PMs, marketers, executives, and non-technical partners.
An ownership mindset - you help define the problem and move work forward; you don't wait for perfect requirements.
Why This Role
This role offers the opportunity to work on high-impact problems across the business while helping shape how data science and analytics evolve within the organization. You'll have the autonomy to explore meaningful questions, influence strategy, and help build a stronger data-informed culture.
Compensation & Benefits
We believe in transparency. Starting salary for this role is $140,000-$150,000 USD (or equivalent in local currency) depending on experience and subject to market rate adjustment. In addition to base salary, this role includes an equity grant in the form of stock options, so you share in the success you help build.
We know our people are what make us great, and we’re committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including
100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family
. We also offer
16 weeks paid parental leave, unlimited PTO
, stipends for remote work and wellness, a professional development budget, and more.
See full benefits here →
Our Process
No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision.
30-minute call with Recruiter
45-minute call with Hiring Manager
45-minute 1:1 Technical Interview
Take-Home Assignment + 45-minute review call
30-minute Final Interview with Stakeholder
All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process.
Customer.io
recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact.
Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official
Customer.io
letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact
jobs@customer.io
.
Join us!
Check out our
careers page
for more information about why you should
come work with us!
We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you’re excited by what you read — apply now.
УдалённоseniorRemote, California, United States, AMER
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