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Owns end-to-end data stack including warehouse, pipelines, BI layer, and AI integration while enabling self-service analytics across the business.
Swoon is an original, design-led brand using an innovative NPD process to discover the next home trends. We run a lean team on a modern data stack - Snowflake, Airflow, Kleene, DBT and Sigma.
We’re looking for an analytics engineer to own that stack end-to-end: how pipelines get built and maintained, how AI is used within them, how analysis reaches the exec team, and how the wider business self-serves answers.
What we’re looking for:
This is a single-owner technical role. You will own the warehouse, the transformation layer, the orchestration and the analytics surface the business consumes, and you will shape how they evolve. No data team above you to escalate design decisions to. You will partner closely with the commercial, marketing, and operations leads to turn their questions into insight that is actually executable.
That autonomy is the point. You need to be highly self-motivated, comfortable making architecture calls on your own judgement, and willing to fix problems rather than route them.
2. Own the analytics stack
3. Drive AI adoption
AI in the data workflow: Use AI tooling to compress the cost of analysis, transformation development, documentation and QA. Review the current standard and where it can’t be trusted.
AI enablement across the business: Work with function leads to identify where AI removes manual work - ops reconciliation, customer service triage, content generation, supplier admin - and build or specify the tooling. You are the technical enabler.
Track record: Demonstrable experience building and running a production analytics stack. Strong SQL and Python skills, plus Snowflake and orchestration (Airflow or equivalent).
AI fluency: Hands-on experience using AI tools in a real workflow.
Self-direction: You set your own roadmap, prioritise against commercial impact, and deliver without supervision.
Communication: You can explain a technical constraint to a non-technical stakeholder and push back on a bad request without damaging the relationship.
Compensation
Holidays, working environment and other perks
Design, develop, and optimize enterprise analytics solutions using Power BI and Microsoft Fabric, leading dashboard modernization and semantic model governance.
Senior Data Analyst
Location: Remote
Clearance Level: Active Secret
Overview
Rackner is seeking a Senior Data Analyst to lead the design, development, modernization, and optimization of enterprise analytics and business intelligence solutions using Power BI and the Microsoft Fabric semantic layer.
The Senior Data Analyst will assess existing dashboards and reporting products, identify opportunities for consolidation and modernization, and develop scalable semantic models and analytics products that support executive, operational, and compliance use cases. This role will work closely with business stakeholders, data engineers, governance teams, and technical leadership to translate mission and business needs into effective analytics solutions.
The Senior Data Analyst will also support analytics strategy, product portfolio management, self-service analytics enablement, and advanced analytical capabilities including predictive modeling and forecasting.
Responsibilities
Qualifications
Preferred Qualifications
About Rackner
Rackner is a software consultancy focused on building mission-critical systems for the U.S. government. Our teams work across cloud platforms, DevSecOps, AI/ML, distributed systems, and modern software engineering initiatives supporting federal agencies and national security missions. Rackner engineers and technical teams collaborate closely with leadership, program teams, and mission stakeholders to design, demonstrate, and improve software systems that address complex operational challenges.
Benefits & Perks
At Rackner, we believe that when our people grow, our company grows with them, and we are committed to supporting their growth, development and success. We are proud to offer a creative and forward-thinking environment that includes:
• Company-supported certifications aligned to current and future program work,
including cloud, Kubernetes, DevSecOps, security, AI/ML, project management, and
related technical areas
• Clear advancement tracks and future leadership opportunities
• 401(k) with 100% match up to 6%
• Comprehensive medical, dental, vision, life, and disability coverage
• Generous PTO and paid holidays
• Home-office equipment plan and remote work support
• Fitness and wellness reimbursement
• Weekly pay schedule and modern perks, including team events
Equal Opportunity
Rackner is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics.
Develops dashboards, reports, and data visualizations in Power BI and Microsoft Fabric to support enterprise analytics and business intelligence across education, workforce, and financial domains.
Associate Data Analyst
Location: Remote
Clearance Level: Active Secret
Overview
Rackner is seeking an Associate Data Analyst to support the development, modernization, and maintenance of enterprise analytics and business intelligence solutions using Power BI and governed data sources within the Microsoft Fabric environment.
The Associate Data Analyst will develop dashboards, reports, semantic models, and data visualizations supporting education, workforce, financial, procurement, and operational analytics. This role will work with senior analysts, data engineers, governance teams, and Government stakeholders to translate reporting needs into reliable and user-friendly analytics products.
The Associate Data Analyst will also support dashboard migration, requirements gathering, documentation, training materials, and self-service analytics initiatives.
Responsibilities
Qualifications
Preferred Qualifications
About Rackner
Rackner is a software consultancy focused on building mission-critical systems for the U.S. government. Our teams work across cloud platforms, DevSecOps, AI/ML, distributed systems, and modern software engineering initiatives supporting federal agencies and national security missions. Rackner engineers and technical teams collaborate closely with leadership, program teams, and mission stakeholders to design, demonstrate, and improve software systems that address complex operational challenges.
Benefits & Perks
At Rackner, we believe that when our people grow, our company grows with them, and we are committed to supporting their growth, development and success. We are proud to offer a creative and forward-thinking environment that includes:
• Company-supported certifications aligned to current and future program work,
including cloud, Kubernetes, DevSecOps, security, AI/ML, project management, and
related technical areas
• Clear advancement tracks and future leadership opportunities
• 401(k) with 100% match up to 6%
• Comprehensive medical, dental, vision, life, and disability coverage
• Generous PTO and paid holidays
• Home-office equipment plan and remote work support
• Fitness and wellness reimbursement
• Weekly pay schedule and modern perks, including team events
Equal Opportunity
Rackner is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics.
Analyzes large datasets using SQL and Python to extract actionable business insights, create visualizations, and support sales and account management teams with data-driven solutions.
Realize your potential by joining the leading performance-driven advertising company!
As a Business Analyst working on our Business Analytics & Business Intelligence team in New York, you will work closely with our Sales and Account Management teams to create data driven solutions, extract and visualize actionable insights from large volumes of data and analyze our clients’ performance to ensure they are hitting/exceeding their KPIs.
To thrive in this role, you’ll need:
Bonus points if you have:
How you’ll make an impact:
Why Taboola?
If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:
Ready to realize your potential?
Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.
Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.
About Taboola
Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.
Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.
#LI-RT1
#LI-Hybrid
The pay offered may vary depending on several factors such as location, job-related knowledge, skills, and experience. We may offer several perks as part of the compensation package that include a discretionary bonus, equity, flexible PTO, medical/dental/vision insurance, a competitive 401(k) match, paid parental leave, and more.
Base Salary Pay Range
$114,000—$125,000 USD
Senior Business Analyst identifies business problems, gathers requirements, designs processes, and develops test scenarios for insurance platform clients.
At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone.
CoverGo Company Video
By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s Privacy Notice and you consent to the processing of your data as part of this application.
Own end-to-end data warehouse, transformation, orchestration, and self-serve analytics stack while driving AI adoption across business workflows.
Swoon is an original, design-led brand using an innovative NPD process to discover the next home trends. We run a lean team on a modern data stack - Snowflake, Airflow, Kleene, DBT and Sigma.
We’re looking for an analytics engineer to own that stack end-to-end: how pipelines get built and maintained, how AI is used within them, how analysis reaches the exec team, and how the wider business self-serves answers.
What we’re looking for:
This is a single-owner technical role. You will own the warehouse, the transformation layer, the orchestration and the analytics surface the business consumes, and you will shape how they evolve. No data team above you to escalate design decisions to. You will partner closely with the commercial, marketing, and operations leads to turn their questions into insight that is actually executable.
That autonomy is the point. You need to be highly self-motivated, comfortable making architecture calls on your own judgement, and willing to fix problems rather than route them.
2. Own the analytics stack
3. Drive AI adoption
AI in the data workflow: Use AI tooling to compress the cost of analysis, transformation development, documentation and QA. Review the current standard and where it can’t be trusted.
AI enablement across the business: Work with function leads to identify where AI removes manual work - ops reconciliation, customer service triage, content generation, supplier admin - and build or specify the tooling. You are the technical enabler.
Track record: Demonstrable experience building and running a production analytics stack. Strong SQL and Python skills, plus Snowflake and orchestration (Airflow or equivalent).
AI fluency: Hands-on experience using AI tools in a real workflow.
Self-direction: You set your own roadmap, prioritise against commercial impact, and deliver without supervision.
Communication: You can explain a technical constraint to a non-technical stakeholder and push back on a bad request without damaging the relationship.
Compensation
Holidays, working environment and other perks
Design, develop, and optimize enterprise analytics and BI solutions using Power BI and Microsoft Fabric, leading dashboard modernization and semantic model development.
Senior Data Analyst
Location: Remote
Clearance Level: Active Secret
Overview
Rackner is seeking a Senior Data Analyst to lead the design, development, modernization, and optimization of enterprise analytics and business intelligence solutions using Power BI and the Microsoft Fabric semantic layer.
The Senior Data Analyst will assess existing dashboards and reporting products, identify opportunities for consolidation and modernization, and develop scalable semantic models and analytics products that support executive, operational, and compliance use cases. This role will work closely with business stakeholders, data engineers, governance teams, and technical leadership to translate mission and business needs into effective analytics solutions.
The Senior Data Analyst will also support analytics strategy, product portfolio management, self-service analytics enablement, and advanced analytical capabilities including predictive modeling and forecasting.
Responsibilities
Qualifications
Preferred Qualifications
About Rackner
Rackner is a software consultancy focused on building mission-critical systems for the U.S. government. Our teams work across cloud platforms, DevSecOps, AI/ML, distributed systems, and modern software engineering initiatives supporting federal agencies and national security missions. Rackner engineers and technical teams collaborate closely with leadership, program teams, and mission stakeholders to design, demonstrate, and improve software systems that address complex operational challenges.
Benefits & Perks
At Rackner, we believe that when our people grow, our company grows with them, and we are committed to supporting their growth, development and success. We are proud to offer a creative and forward-thinking environment that includes:
• Company-supported certifications aligned to current and future program work,
including cloud, Kubernetes, DevSecOps, security, AI/ML, project management, and
related technical areas
• Clear advancement tracks and future leadership opportunities
• 401(k) with 100% match up to 6%
• Comprehensive medical, dental, vision, life, and disability coverage
• Generous PTO and paid holidays
• Home-office equipment plan and remote work support
• Fitness and wellness reimbursement
• Weekly pay schedule and modern perks, including team events
Equal Opportunity
Rackner is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics.
Associate data analyst develops dashboards, reports, and semantic models using Power BI and Microsoft Fabric to support enterprise analytics across education, workforce, and financial domains.
Associate Data Analyst
Location: Remote
Clearance Level: Active Secret
Overview
Rackner is seeking an Associate Data Analyst to support the development, modernization, and maintenance of enterprise analytics and business intelligence solutions using Power BI and governed data sources within the Microsoft Fabric environment.
The Associate Data Analyst will develop dashboards, reports, semantic models, and data visualizations supporting education, workforce, financial, procurement, and operational analytics. This role will work with senior analysts, data engineers, governance teams, and Government stakeholders to translate reporting needs into reliable and user-friendly analytics products.
The Associate Data Analyst will also support dashboard migration, requirements gathering, documentation, training materials, and self-service analytics initiatives.
Responsibilities
Qualifications
Preferred Qualifications
About Rackner
Rackner is a software consultancy focused on building mission-critical systems for the U.S. government. Our teams work across cloud platforms, DevSecOps, AI/ML, distributed systems, and modern software engineering initiatives supporting federal agencies and national security missions. Rackner engineers and technical teams collaborate closely with leadership, program teams, and mission stakeholders to design, demonstrate, and improve software systems that address complex operational challenges.
Benefits & Perks
At Rackner, we believe that when our people grow, our company grows with them, and we are committed to supporting their growth, development and success. We are proud to offer a creative and forward-thinking environment that includes:
• Company-supported certifications aligned to current and future program work,
including cloud, Kubernetes, DevSecOps, security, AI/ML, project management, and
related technical areas
• Clear advancement tracks and future leadership opportunities
• 401(k) with 100% match up to 6%
• Comprehensive medical, dental, vision, life, and disability coverage
• Generous PTO and paid holidays
• Home-office equipment plan and remote work support
• Fitness and wellness reimbursement
• Weekly pay schedule and modern perks, including team events
Equal Opportunity
Rackner is an equal opportunity employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics.
Analyzes large datasets to extract actionable insights, creates visualizations, and delivers reports to support sales and account management teams.
Realize your potential by joining the leading performance-driven advertising company!
As a Business Analyst working on our Business Analytics & Business Intelligence team in New York, you will work closely with our Sales and Account Management teams to create data driven solutions, extract and visualize actionable insights from large volumes of data and analyze our clients’ performance to ensure they are hitting/exceeding their KPIs.
To thrive in this role, you’ll need:
Bonus points if you have:
How you’ll make an impact:
Why Taboola?
If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:
Ready to realize your potential?
Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.
Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.
About Taboola
Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.
Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.
#LI-RT1
#LI-Hybrid
The pay offered may vary depending on several factors such as location, job-related knowledge, skills, and experience. We may offer several perks as part of the compensation package that include a discretionary bonus, equity, flexible PTO, medical/dental/vision insurance, a competitive 401(k) match, paid parental leave, and more.
Base Salary Pay Range
$114,000—$125,000 USD
Ensures high-quality data infrastructure and governance across petabyte-scale systems while collaborating with researchers and engineers.
Leads analytics initiatives across the full stack, building data solutions and insights to drive business decisions at a fintech company.
Analyzes revenue data and builds full-stack analytics solutions to support business decision-making and financial reporting.
Designs and maintains data pipelines and analytics infrastructure to enable data-driven decision-making across the organization.
Develops and manages data governance and data management practices within a public health division.
Designs experiments, builds metrics and visualizations, and analyzes product data to inform strategy across user growth, content quality, and monetization.
[ Quora is a privately held, “remote-first” company . This position can be performed remotely from multiple countries around the world. Please visit careers.quora.com/eligible-countries for details regarding employment eligibility by country.]
Quora’s mission is to grow the world’s collective intelligence. To do so, we have two platforms:
Quora: a global knowledge sharing platform with millions of monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others.
Poe: a platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models (bots), including GPT-5.6-Sol, Claude-Opus-5, Claude-Fable-5, Grok-4.6, Kimi-K3, and thousands of others. As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and utilize these new models.
Behind these products are passionate, collaborative, and high-performing global teams. We have a culture rooted in transparency, idea-sharing, and experimentation that allows us to celebrate success and grow together through meaningful work. Join us on this journey to create a positive impact and make a significant change in the world.
This role will be working on our Quora product.
The Data Team is highly empowered at Quora, helping navigate complexity and influencing product and company strategy directly. Quora’s outsized commitment to data is visible in everything we do, from our sophisticated experimentation processes to the backgrounds of our leaders. With this emphasis on data and empirics, we aim to balance rigor and pragmatism, searching for scrappy solutions in pursuit of our mission. In joining Quora’s strong data team, you’ll both benefit from and help advance our culture of rational decision making.
As a member of our team, you’ll work closely with product managers, product designers, engineers, and other cross-functional partners to devise appropriate measurements and metrics, design randomized controlled experiments, build visualizations, and tackle hard, open-ended problems that uncover usage patterns and opportunities across Quora. Quora has a wide range of rich data, giving you ample room for exploration and creativity.
Data scientists at Quora work across multiple domains, including user growth, content quality, monetization, personalization, marketplace dynamics, and long-term company strategy. Example projects include modeling long-term growth, improving the relevance and personalization of the homepage feed, analyzing drivers of user engagement and question-asking behavior, optimizing marketplace efficiency, and evaluating the effectiveness of monetization initiatives.
Own ambiguous, high-impact problem spaces across product and business domains, from question framing, to devising and conducting the analysis, to developing and implementing solutions with cross-functional partners
Partner with cross-functional stakeholders and company leadership to shape product strategy and anticipate future challenges
Design and evaluate experiments to measure the impact of product and strategic changes
Analyze data from across the product to uncover root causes of metric movements
Develop tools, methodologies, and frameworks that help make both the data team and the company as a whole smarter about data
Multiply the impact of other data scientists through mentorship and instilling industry best practices across the team
Availability for meetings and impromptu communication during Quora’s “ coordination hours ” (Mon-Fri: 9am-3pm Pacific Time)
7+ years work experience in an analytical or quantitative role, including 5+ as a Data Scientist or similar title, with a track record of success at a senior or staff level of scope and autonomy
Demonstrated ability to tackle difficult data questions that few others could have taken on, such as those requiring deep ownership of a product area and/or leading cross-functional and cross-team efforts
Expertise with statistical techniques (e.g. regression, hypothesis testing, causal inference) and their practical application
Experience mentoring other data scientists and raising team standards through best practices and process improvements
Effective communication skills, including the ability to translate ambiguous business needs into analytical questions and to explain technical results to executives and cross-functional partners
Extensive experience using a procedural programming language (e.g. Python, R) for data manipulation, modeling, and analysis; comfort working in a production codebase
Strong judgment that blends quantitative rigor with product intuition and common sense
2+ years of experience evaluating recommender systems in offline analysis and online experiments
Experience setting technical direction or strategy for a team or major workstream
Experience with large data sets and distributed computing tools (e.g. Presto/Trino)
Active Quora user with curiosity about the product
At Quora, we value diversity and inclusivity and welcome individuals from all backgrounds, including marginalized or underrepresented groups in tech, to apply for our job openings. We encourage all candidates who share a passion for growing the world’s knowledge, even those who may not strictly meet all the preferred requirements, to apply, as we know that a diverse range of perspectives can have a significant impact on our products and our culture.
We are accepting applications on an ongoing basis. This role is a backfill for an existing vacancy.
Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary.
There are many factors that will determine the starting pay, including but not limited to experience, location, education, and business needs.
US candidates only: For US based applicants, the salary range is $163,560 - $240,092 USD + equity + benefits.
Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $210,013 - $246,625 CAD + equity + benefits. For all other locations in Canada, the salary range is $196,012 - $230,183 CAD + equity + benefits.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
AI technology may assist in sorting applications and recording interview notes, but all decisions are made by a member of our team.
To ensure a secure hiring process, all final candidates will undergo identity verification and a comprehensive background check prior to onboarding.
Job Applicant Privacy Notice: https://www.careers.quora.com/pages/quora-global-job-applicant-privacy-notice
#LI-SS2
#LI-REMOTE
Senior Statistical Programmer develops SAS-based tables, listings, and graphs from clinical trial data while managing regulatory submissions and leading small programming teams.
Are you looking to join a company where your contributions truly matter, and where you’ll be part of a supportive, innovative team? MMS is a award-winning, data-focused clinical research organization (CRO). We pride ourselves on being a Great Place to Work certified organization, recognized for our exceptional culture and industry best employee retention rate. We support the pharmaceutical, biotech, and medical device industries with our proven, scientific approach to complex trial data and regulatory submission challenges. With a global footprint across four continents, MMS not only maintains an industry-leading customer satisfaction rating but also fosters a collaborative and inclusive work environment where employees can thrive. Join us at MMS and be part of a team that is shaping the future of clinical research.
Discover more about our exciting opportunities and why MMS is a great place to advance your career. Visit www.mmsholdings.com or follow MMS on LinkedIn.
Kindly submit your CV in English!
We are looking for a full-time employee, remotely based within Argentina.
Job Specific Skills:
Job Requirements:
Please consider your application unsuccessful if we do not reach out to you within 14Â days of your submission.
Senior statistical programmer creates tables, listings, and graphs from clinical trial data using SAS, manages SDTM/ADaM standards, and leads programming projects for pharmaceutical submissions.
Are you looking to join a company where your contributions truly matter, and where you’ll be part of a supportive, innovative team? MMS is a award-winning, data-focused clinical research organization (CRO). We pride ourselves on being a Great Place to Work certified organization, recognized for our exceptional culture and industry best employee retention rate. We support the pharmaceutical, biotech, and medical device industries with our proven, scientific approach to complex trial data and regulatory submission challenges. With a global footprint across four continents, MMS not only maintains an industry-leading customer satisfaction rating but also fosters a collaborative and inclusive work environment where employees can thrive. Join us at MMS and be part of a team that is shaping the future of clinical research.
Discover more about our exciting opportunities and why MMS is a great place to advance your career. Visit www.mmsholdings.com or follow MMS on LinkedIn.
Kindly submit your CV in English!
We are looking for a full-time employee, remotely based within any location in Colombia.
Job Specific Skills:
Job Requirements:
Please consider your application unsuccessful if we do not reach out to you within 14Â days of your submission.
Senior Statistical Programmer creates SAS-based data tables, analyses, and submissions for clinical trials while leading programming projects and ensuring regulatory compliance.
Are you looking to join a company where your contributions truly matter, and where you’ll be part of a supportive, innovative team? MMS is a award-winning, data-focused clinical research organization (CRO). We pride ourselves on being a Great Place to Work certified organization, recognized for our exceptional culture and industry best employee retention rate. We support the pharmaceutical, biotech, and medical device industries with our proven, scientific approach to complex trial data and regulatory submission challenges. With a global footprint across four continents, MMS not only maintains an industry-leading customer satisfaction rating but also fosters a collaborative and inclusive work environment where employees can thrive. Join us at MMS and be part of a team that is shaping the future of clinical research.
Discover more about our exciting opportunities and why MMS is a great place to advance your career. Visit www.mmsholdings.com or follow MMS on LinkedIn.
Kindly submit your CV in English!
We are looking for a full-time employee, remotely based within any location in Mexico.
Job Specific Skills:
Job Requirements:
Please consider your application unsuccessful if we do not reach out to you within 14Â days of your submission.
Senior statistical programmer designs and generates clinical trial data tables, listings, and analyses using SAS while ensuring regulatory compliance with SDTM/ADaM standards.
Are you looking to join a company where your contributions truly matter, and where you’ll be part of a supportive, innovative team? MMS is a award-winning, data-focused clinical research organization (CRO). We pride ourselves on being a Great Place to Work certified organization, recognized for our exceptional culture and industry best employee retention rate. We support the pharmaceutical, biotech, and medical device industries with our proven, scientific approach to complex trial data and regulatory submission challenges. With a global footprint across four continents, MMS not only maintains an industry-leading customer satisfaction rating but also fosters a collaborative and inclusive work environment where employees can thrive. Join us at MMS and be part of a team that is shaping the future of clinical research.
Discover more about our exciting opportunities and why MMS is a great place to advance your career. Visit www.mmsholdings.com or follow MMS on LinkedIn.
Kindly submit your CV in English!
We are looking for a full-time employee, remotely based within any location in Brazil.
Job Specific Skills:
Job Requirements:
Please consider your application unsuccessful if we do not reach out to you within 14Â days of your submission.
Staff data scientist designs experiments, builds metrics and visualizations, and uncovers usage patterns to influence product strategy across Quora's platforms.
[ Quora is a privately held, “remote-first” company . This position can be performed remotely from multiple countries around the world. Please visit careers.quora.com/eligible-countries for details regarding employment eligibility by country.]
Quora’s mission is to grow the world’s collective intelligence. To do so, we have two platforms:
Quora: a global knowledge sharing platform with millions of monthly unique visitors, bringing people together to share insights on various topics and providing a unique platform to learn and connect with others.
Poe: a platform providing millions of global users with one place to chat, explore and build with a wide variety of AI language models (bots), including GPT-5.6-Sol, Claude-Opus-5, Claude-Fable-5, Grok-4.6, Kimi-K3, and thousands of others. As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and utilize these new models.
Behind these products are passionate, collaborative, and high-performing global teams. We have a culture rooted in transparency, idea-sharing, and experimentation that allows us to celebrate success and grow together through meaningful work. Join us on this journey to create a positive impact and make a significant change in the world.
This role will be working on our Quora product.
The Data Team is highly empowered at Quora, helping navigate complexity and influencing product and company strategy directly. Quora’s outsized commitment to data is visible in everything we do, from our sophisticated experimentation processes to the backgrounds of our leaders. With this emphasis on data and empirics, we aim to balance rigor and pragmatism, searching for scrappy solutions in pursuit of our mission. In joining Quora’s strong data team, you’ll both benefit from and help advance our culture of rational decision making.
As a member of our team, you’ll work closely with product managers, product designers, engineers, and other cross-functional partners to devise appropriate measurements and metrics, design randomized controlled experiments, build visualizations, and tackle hard, open-ended problems that uncover usage patterns and opportunities across Quora. Quora has a wide range of rich data, giving you ample room for exploration and creativity.
Data scientists at Quora work across multiple domains, including user growth, content quality, monetization, personalization, marketplace dynamics, and long-term company strategy. Example projects include modeling long-term growth, improving the relevance and personalization of the homepage feed, analyzing drivers of user engagement and question-asking behavior, optimizing marketplace efficiency, and evaluating the effectiveness of monetization initiatives.
Own ambiguous, high-impact problem spaces across product and business domains, from question framing, to devising and conducting the analysis, to developing and implementing solutions with cross-functional partners
Partner with cross-functional stakeholders and company leadership to shape product strategy and anticipate future challenges
Design and evaluate experiments to measure the impact of product and strategic changes
Analyze data from across the product to uncover root causes of metric movements
Develop tools, methodologies, and frameworks that help make both the data team and the company as a whole smarter about data
Multiply the impact of other data scientists through mentorship and instilling industry best practices across the team
Availability for meetings and impromptu communication during Quora’s “ coordination hours ” (Mon-Fri: 9am-3pm Pacific Time)
7+ years work experience in an analytical or quantitative role, including 5+ as a Data Scientist or similar title, with a track record of success at a senior or staff level of scope and autonomy
Demonstrated ability to tackle difficult data questions that few others could have taken on, such as those requiring deep ownership of a product area and/or leading cross-functional and cross-team efforts
Expertise with statistical techniques (e.g. regression, hypothesis testing, causal inference) and their practical application
Experience mentoring other data scientists and raising team standards through best practices and process improvements
Effective communication skills, including the ability to translate ambiguous business needs into analytical questions and to explain technical results to executives and cross-functional partners
Extensive experience using a procedural programming language (e.g. Python, R) for data manipulation, modeling, and analysis; comfort working in a production codebase
Strong judgment that blends quantitative rigor with product intuition and common sense
2+ years of experience evaluating recommender systems in offline analysis and online experiments
Experience setting technical direction or strategy for a team or major workstream
Experience with large data sets and distributed computing tools (e.g. Presto/Trino)
Active Quora user with curiosity about the product
At Quora, we value diversity and inclusivity and welcome individuals from all backgrounds, including marginalized or underrepresented groups in tech, to apply for our job openings. We encourage all candidates who share a passion for growing the world’s knowledge, even those who may not strictly meet all the preferred requirements, to apply, as we know that a diverse range of perspectives can have a significant impact on our products and our culture.
We are accepting applications on an ongoing basis. This role is a backfill for an existing vacancy.
Quora offers a wide range of benefits including medical/dental/vision coverage, equity refreshers, remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are country-specific and may vary.
There are many factors that will determine the starting pay, including but not limited to experience, location, education, and business needs.
US candidates only: For US based applicants, the salary range is $163,560 - $240,092 USD + equity + benefits.
Canada candidates only: For Toronto and Vancouver based applicants, the salary range is $210,013 - $246,625 CAD + equity + benefits. For all other locations in Canada, the salary range is $196,012 - $230,183 CAD + equity + benefits.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
AI technology may assist in sorting applications and recording interview notes, but all decisions are made by a member of our team.
To ensure a secure hiring process, all final candidates will undergo identity verification and a comprehensive background check prior to onboarding.
Job Applicant Privacy Notice: https://www.careers.quora.com/pages/quora-global-job-applicant-privacy-notice
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