We're launching a new business line in Colombia and looking for someone to become the first dedicated Data Scientist in our Risk team, building the function from the ground up as part of this launch.
-Own and prioritise multiple concurrent production data-science projects or systems, translating broad problem statements into actionable work, managing evolving requirements, and delivering measurable outcomes. -Expert-level proficiency in Python and SQL, with a track record of writing clean, testable, production-quality code.
Location: Remote; Slovakia (Remote); Spain (Remote); Czechia (Remote); Switzerland (Remote); Portugal (Remote); USA (Remote); Austria (Remote); Iceland (Remote); Hungary (Remote); Ireland (Remote); UK (Remote); Romania (Remote); Poland (Remote)
Workplace: Remote
WHO WE ARE
Hi, we're DuckDuckGo, the online protection company and remote-first team of 400+ on a mission to raise the standard of trust online. Founded in 2008 and profitable since 2014, our annual revenue is in the hundreds of millions USD and millions use our browser on Mac https://spreadprivacy.com/introducing-duckduckgo-for-mac/, Windows https://spreadprivacy.com/windows-browser-open-beta/, iOS https://spreadprivacy.com/duckduckgo-privacy-browser-ios14/, and Android https://spreadprivacy.com/introducing-app-tracking-protection/, our search engine https://duckduckgo.com/, and the DuckDuckGo subscription https://duckduckgo.com/pro. We also offer private, useful, and optional AI, including Duck.ai https://duck.ai/, which lets you chat privately with ChatGPT, Claude, and other AIs, all in one place.
Our culture https://duckduckgo.com/how-we-work of trust, inclusivity, and empowered project management underpins everything we do, where each team member takes full ownership of their projects, from scoping and execution to postmortem. If you're seeking end-to-end ownership of your work, you've come to the right place!
YOUR TEAM AND ROLE
Working on the Data Science Functional Team, you'll drive product and business impact through statistical modeling, experiment design, Bayesian marketing analysis, and classifier implementation across our search engine, instant answers, AI, and revenue optimization, and work on related projects. Recent projects include:
- Defining core growth metrics for our products and building the infrastructure to monitor trends and anomalies
- Measuring the impact of major marketing campaigns for Duck.ai http://duck.ai, translating full-funnel data into actionable decisions
- Building monitoring pipelines to detect unexpected shifts in search traffic patterns faster and more reliably
- Expanding evaluation datasets for page context understanding across complex scenarios like multi-tab browsing and content reattachment
- Improving the trigger systems that determine when AI-assisted answers surface in DuckDuckGo Search, balancing quality and our privacy-first approach
Our data meets rigorous privacy standards and is necessarily sparse, so you'll need to think creatively to surface actionable insights in an evidence-first culture where quantitative rigor is the baseline, not the exception.
ABOUT YOU
- You have 7+ years of experience in Data Science and a track record of leading high-complexity projects from scoping to production with minimal direction.
- You can do 2 or more of the following:
- Deploy and iterate on ML in production environments
- Develop and deploy NLP solutions
- Apply knowledge of LLMs including fine-tuning, LLM-as-judge, and AI-assisted development
- Conduct marketing campaign analysis using Bayesian methods
- You write production-grade code in Python or a comparable high-level language.
- You have advanced SQL and query optimization skills, familiarity with columnar databases like BigQuery, Clickhouse, Redshift, or Druid; experience with a BI tool like Tableau or PowerBI is a plus.
- You can design, implement, and analyze experiments across product surfaces, and are comfortable deriving insights from sparse or privacy-constrained data.
- You collaborate effectively with product teams and contribute to overall team throughput.
COMPENSATION
This role is paid on a regional pay scale, in local currency, and stock options:
- United States: $190,500 USD annually
- United Kingdom: £134,600 GBP annually
- Canada: C$253,500 CAD annually
- Europe/Rest of World: €157,350 EUR annually
In Spain, pay is expected to transition to the EUR scale on January 1, 2027, and in other Europe/Rest of World countries on February 1, 2027.
Compensation is transparent across the organization, and all team members within the same professional level and global region receive the same compensation.
Eligibility for company-sponsored health benefits is limited to team members based in the United States. This program does not extend to team members located in other countries, such as Canada or the UK.
Our Team Member Support Guide https://duckduckgo.com/assets/hiring/team_support_guide.pdf explains how we prioritize your wellbeing including paid parental leave, office setup, and co-working allowances.
HIRING PROCESS
Hiring works best when it's a two-way street. Learn how we help you get to know DuckDuckGo, envision your future role here, and find out more about how we hire https://duckduckgo.com/how-we-hire.
DIVERSITY, EQUITY, AND INCLUSION
DuckDuckGo provides equal work opportunities to all team members and applicants, and it prohibits discrimination and harassment of any type on the basis of race, color, ethnicity, caste, religion, age, sex (including pregnancy), national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by our policies or federal, state, or local laws.
We want to ensure that our hiring process is accessible. If you need reasonable accommodation for any part of the application process because of a medical condition or disability, please send an email to careers@duckduckgo.com to let us know the nature of your request.
PLEASE NOTE THAT:
- You’ll be required to attend meetings on camera via video conferencing
- Expect to travel at least two times a year: once for our all-hands meetup and again for a team retreat (each around 4-5 days). While extenuating circumstances may impact attendance, everyone is strongly encouraged to attend.
- While we offer a flexible work arrangement with no core hours, expect an average full-time commitment of 40 hours per week.
- A successful candidate must pass a background check as a condition of joining the team.
- By applying for this role, you confirm that all information submitted is accurate and complete. You further acknowledge that providing false or fraudulent information during the application process is cause for denial of an offer, revocation of any existing offer, or other adverse action, up to and including termination after the start of your commencement of work.
DISCLOSURE STATEMENT: USE OF AI IN HIRING PROCESS
As part of our commitment to enhancing our recruitment process, we utilize artificial intelligence (AI) technology to assist in reviewing and summarizing job applications and test projects, including those tools integrated into our recruitment vendor platforms. We use AI to flag potentially fraudulent applications, analyze and summarize applicants’ experience, interviews, and project performance, and help streamline our selection process.
KEY PRINCIPLES:
- Data Privacy: All information provided in your application will be handled in accordance with our Recruiting Privacy Policy https://duckduckgo.com/static-assets/files/pages/careers/DuckDuckGo-Recruiting-Privacy-Policy-effective-February-5-2025.pdf. We ensure that your personal information is protected and used solely for recruitment purposes.
- Human Oversight and Accountability: The AI technology is designed to support our hiring team by providing insights and summaries of applications and evaluations of test projects against scoring rubrics. All final evaluations and hiring decisions, however, will be made by our hiring team, who will consider the AI's input alongside other factors.
- Transparency: We believe in transparency regarding our hiring practices. If you have any questions about how AI is used in our recruitment process, please feel free to reach out to us.
By submitting your application, you acknowledge and consent to the use of AI technology in our review process. If you would like to request an alternative selection process, please contact us as at careers@duckduckgo.com. Thank you for your interest in joining DuckDuckGo!
#LI-DNI
УдалённоseniorRemote; Slovakia (Remote); Spain (Remote); Czechia (Remote); Switzerland (Remote); Portugal (Remote); USA (Remote); Austria (Remote); Iceland (Remote); Hungary (Remote); Ireland (Remote); UK (Remote); Romania (Remote); Poland (Remote)
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
• Build and maintain data pipelines and integrations with source systems (ERP K-Soft / 1С, Qlik Sense); • Strong Python (pandas, scikit-learn, and ML/DL frameworks) and SQL;
География найма не уточнена
JКомпания не указана
18
Управление вакансиями скоро появится
Скрытые компании и отметки о просмотре ещё не подключены.
Задачи:
— проводить ценовые тесты с командой аналитики
— оценивать потенциал гипотез и проверять их
— подбирать подходящие метрики для офлайн- и онлайн-оценки
Location: United Kingdom
Are you interested in working directly for a single sponsor while having the security and additional career opportunities that working for a global CRO can bring? Our team says it’s the best of both worlds...
We are building our talent pipeline for 2027 and expect to have multiple opportunities throughout the year for experienced professionals in Clinical Statistical Programming at the Senior and Principal level. We anticipate hiring for up to 20 positions during calendar year 2027, with openings becoming available at different times based on client demand and business growth.
The
Senior/Principal Statistical Programmer
is responsible for serving as a technical and study programming lead across multiple compounds and/or studies within the Statistical Programming function, supporting Ipsen’s assets within a specific therapeutic area such as
Oncology, Rare Disease, or Neuroscience
.
The role requires strong hands-on statistical programming expertise, study leadership, and technical knowledge to ensure the quality, consistency, and timely delivery of statistical programming activities. The programmer will work closely with statisticians, clinical teams, data management, and other cross-functional stakeholders and may also provide technical oversight of outsourced programming activities.
Main Responsibilities & Technical Competencies
Serve as a
lead statistical programmer
for multiple studies and/or compounds, ensuring high-quality and timely delivery of statistical programming activities.
Lead and execute statistical programming activities across clinical trials, from study start-up through database lock, reporting, and regulatory submission.
Ensure consistency, quality, and executional excellence across programming deliverables for assigned studies.
Support programming activities for
global regulatory submissions
and responses to health authority questions.
Provide technical oversight and guidance for outsourced statistical programming activities, ensuring deliverables meet required quality, budget, and timeline expectations.
Develop, review, and validate high-quality statistical programming deliverables, including
tables, listings, figures (TLFs), SDTM/ADaM datasets, and associated documentation such as Define-XML
.
Provide technical expertise in
SAS programming
, including development, QC/validation, and documentation of statistical programs.
Contribute to the development, implementation, and continuous improvement of
SAS programming standards, SOPs, work instructions, and best practices
.
Ensure study-related programming documentation is maintained in accordance with Ipsen processes and is inspection/audit ready.
Collaborate with statisticians and cross-functional teams to understand complex study designs, endpoints, and analysis requirements and translate them into robust programming solutions.
Provide
technical guidance and mentoring to other statistical programmers
and contribute to the development of programming capabilities within the organization.
Identify opportunities to improve programming processes, adopt innovative and efficient approaches, and support evolving and complex study design methodologies.
Act as a
subject matter expert
in statistical programming and contribute to technical decision-making within assigned studies and therapeutic areas.
Behavioural Competencies Required
Collaborates effectively across functions and organizational boundaries.
Communicates clearly with both technical and non-technical stakeholders.
Proactively seeks relevant stakeholder input and expertise to support effective decision-making.
Takes ownership and accountability for decisions, actions, successes, and challenges.
Demonstrates strong planning and organizational skills, effectively managing priorities, resources, and timelines.
Maintains a strong focus on quality, compliance, and timely execution.
Demonstrates a proactive approach to identifying risks, resolving issues, and driving continuous improvement.
Supports and coaches colleagues by sharing technical knowledge and best practices.
Knowledge & Experience
Strong proficiency in
SAS programming
within a pharmaceutical, biotechnology, or CRO environment.
Strong understanding of
CDISC standards
, including SDTM and ADaM.
Hands-on experience with
SDTM and ADaM specification, development, and programming
.
Strong experience in
TFL programming and reporting
.
Experience supporting clinical trial reporting and/or regulatory submissions.
Experience working with complex clinical trial data and study designs.
Ability to provide technical leadership and independently manage programming activities across multiple studies.
8+ years of statistical programming experience
in a pharmaceutical, biotechnology, or CRO environment supporting clinical development.
Experience in one or more of the following therapeutic areas is preferred:
Oncology, Rare Disease, or Neuroscience
.
Knowledge & Experience (preferred)
R or other packages are desired;
Understand clinical data flow. Experience in NDA/sNDA submission is desired.
Education / Certifications (essential)
Bachelor or MSc in Statistics, Mathematics, or Scientific Discipline
Language(s) (essential)
English
Language(s) (preferred)
French
Who will you be working for?
About ClinChoice
ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies. We have over 28 years of proven high-quality delivery and results across all our services, with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific.
Our Company Ethos
Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset, and they are the fulcrum around which all ClinChoice activities are built, and close management and training are the core instruments to develop and maintain highly-qualified personnel. The continuous training keeps the resources qualified in terms of competence and expertise and gives all personnel the clear tools needed to manage both internal and client processes with the same methodology. The success of these core values is evidenced by our low industry-average turnover rates.
ClinChoice is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent, guided by a commitment to diversity and inclusivity. Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities. We recognize this is our strength and celebrate it.
#LI-TT1 #LI-Remote #LI-Principal #Contract
Location: European Union
Are you interested in working directly for a single sponsor while having the security and additional career opportunities that working for a global CRO can bring? Our team says it’s the best of both worlds...
We are building our talent pipeline for 2027 and expect to have multiple opportunities throughout the year for experienced professionals in Clinical Statistical Programming at the Senior and Principal level. We anticipate hiring for up to 20 positions during calendar year 2027, with openings becoming available at different times based on client demand and business growth.
The
Senior/Principal Statistical Programmer
is responsible for serving as a technical and study programming lead across multiple compounds and/or studies within the Statistical Programming function, supporting Ipsen’s assets within a specific therapeutic area such as
Oncology, Rare Disease, or Neuroscience
.
The role requires strong hands-on statistical programming expertise, study leadership, and technical knowledge to ensure the quality, consistency, and timely delivery of statistical programming activities. The programmer will work closely with statisticians, clinical teams, data management, and other cross-functional stakeholders and may also provide technical oversight of outsourced programming activities.
Main Responsibilities & Technical Competencies
Serve as a
lead statistical programmer
for multiple studies and/or compounds, ensuring high-quality and timely delivery of statistical programming activities.
Lead and execute statistical programming activities across clinical trials, from study start-up through database lock, reporting, and regulatory submission.
Ensure consistency, quality, and executional excellence across programming deliverables for assigned studies.
Support programming activities for
global regulatory submissions
and responses to health authority questions.
Provide technical oversight and guidance for outsourced statistical programming activities, ensuring deliverables meet required quality, budget, and timeline expectations.
Develop, review, and validate high-quality statistical programming deliverables, including
tables, listings, figures (TLFs), SDTM/ADaM datasets, and associated documentation such as Define-XML
.
Provide technical expertise in
SAS programming
, including development, QC/validation, and documentation of statistical programs.
Contribute to the development, implementation, and continuous improvement of
SAS programming standards, SOPs, work instructions, and best practices
.
Ensure study-related programming documentation is maintained in accordance with Ipsen processes and is inspection/audit ready.
Collaborate with statisticians and cross-functional teams to understand complex study designs, endpoints, and analysis requirements and translate them into robust programming solutions.
Provide
technical guidance and mentoring to other statistical programmers
and contribute to the development of programming capabilities within the organization.
Identify opportunities to improve programming processes, adopt innovative and efficient approaches, and support evolving and complex study design methodologies.
Act as a
subject matter expert
in statistical programming and contribute to technical decision-making within assigned studies and therapeutic areas.
Behavioural Competencies Required
Collaborates effectively across functions and organizational boundaries.
Communicates clearly with both technical and non-technical stakeholders.
Proactively seeks relevant stakeholder input and expertise to support effective decision-making.
Takes ownership and accountability for decisions, actions, successes, and challenges.
Demonstrates strong planning and organizational skills, effectively managing priorities, resources, and timelines.
Maintains a strong focus on quality, compliance, and timely execution.
Demonstrates a proactive approach to identifying risks, resolving issues, and driving continuous improvement.
Supports and coaches colleagues by sharing technical knowledge and best practices.
Knowledge & Experience
Strong proficiency in
SAS programming
within a pharmaceutical, biotechnology, or CRO environment.
Strong understanding of
CDISC standards
, including SDTM and ADaM.
Hands-on experience with
SDTM and ADaM specification, development, and programming
.
Strong experience in
TFL programming and reporting
.
Experience supporting clinical trial reporting and/or regulatory submissions.
Experience working with complex clinical trial data and study designs.
Ability to provide technical leadership and independently manage programming activities across multiple studies.
8+ years of statistical programming experience
in a pharmaceutical, biotechnology, or CRO environment supporting clinical development.
Experience in one or more of the following therapeutic areas is preferred:
Oncology, Rare Disease, or Neuroscience
.
Knowledge & Experience (preferred)
R or other packages are desired;
Understand clinical data flow. Experience in NDA/sNDA submission is desired.
Education / Certifications (essential)
Bachelor or MSc in Statistics, Mathematics, or Scientific Discipline
Language(s) (essential)
English
Language(s) (preferred)
French
Who will you be working for?
About ClinChoice
ClinChoice is a global full-service CRO specializing in clinical development and functional solutions for pharmaceutical, biotechnology, medical device, and consumer health companies. We have over 28 years of proven high-quality delivery and results across all our services, with over 4,000 professionals in more than 20 countries across the Americas, Europe, and Asia-Pacific.
Our Company Ethos
Our mission drives our culture: to contribute to a healthier and safer world by accelerating the development and commercialization of innovative drugs and devices. Our employees are the most valuable company asset, and they are the fulcrum around which all ClinChoice activities are built, and close management and training are the core instruments to develop and maintain highly-qualified personnel. The continuous training keeps the resources qualified in terms of competence and expertise and gives all personnel the clear tools needed to manage both internal and client processes with the same methodology. The success of these core values is evidenced by our low industry-average turnover rates.
ClinChoice is an equal opportunity employer. We have based our success on attracting, developing, and promoting talent, guided by a commitment to diversity and inclusivity. Our employees come from very diverse backgrounds: gender, race, beliefs, and ethnicities. We recognize this is our strength and celebrate it.
#LI-TT1 #LI-Remote #LI-Principal #Contract
-Погружаться в бизнес контекст платформы ограничений, изучать доступные данные и существующую инфраструктуру — высоконагруженные сервисы, обрабатывающие миллионы транзакций в день. -Анализировать текущие бизнес процессы, выявлять их уязвимые места и точки роста.
ГибридmiddleГеография найма не уточнена
JКомпания не указана
18
Управление вакансиями скоро появится
Скрытые компании и отметки о просмотре ещё не подключены.
Сейчас мы расширяем команду и ищем DS-специалистов уровня Middle и Senior.
Мы занимаемся развитием платформы интеллектуального управления безопасностью финансовых потоков.
Наши ML-решения в реальном времени оценивают транзакции на предмет мошенничества, комплаенс-рисков и других нежелательных действий.
В АО «Bereke Bank» открыты вакансии для IT-специалистов в различных продуктах с разнообразными задачами. Предлагается гибридный формат работы (удаленка и офис).
В AI команду требуются:
— Senior Data Scientist
— Middle Fullstack (честное разделение 50/50 между фронтендом и бэкендом)
— Senior Fullstack (с уклоном в бэкенд на Python)
— ML-инженер
Для отклика и получения деталей по проектам необходимо связаться через Telegram @dashan13 с резюме.
ГибридseniorГеография найма не уточнена
JКомпания не указана
23
Управление вакансиями скоро появится
Скрытые компании и отметки о просмотре ещё не подключены.
Предстоит: Работа с геоданными: геокодирование, map matching, построение изохронов, расчёт ETA; Проектирование и оптимизация графов дорожной сети, работа с роутинг-движками (OSRM, GraphHopper, Valhalla или аналогами);
Предстоит: разрабатывать и улучшать модели оценки стоимости товаров на основе табличных данных, текстов и изображений; исследовать современные ML-подходы, формулировать и проверять гипотезы, проводить эксперименты и анализировать их результаты;
Deliver novel and impactful insights for client organizations using machine learning and AI technologies. Work closely with our Product, Platform Data, Insights & Strategy, and Sales teams to create client-facing analyses.