Pandas Jobs in Denver.
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Data Scientist
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About the opportunity
We are looking for a Data Scientist who will turn data into insights and build models that drive meaningful business outcomes. You will work closely with cross-functional stakeholders to understand problems, design analytical solutions, and deploy data products that scale.
What to expect?
- Collect, clean, and analyze structured and unstructured data.
- Develop predictive models, statistical analyses, and machine learning algorithms.
- Build dashboards, reports, and data visualizations to communicate insights.
- Collaborate with engineering to deploy models into production environments.
- Perform exploratory data analysis (EDA) to identify trends and opportunities.
- Conduct A/B testing and design experiments to measure feature performance.
- Document methodologies and ensure reproducibility of analytical work.
- Contribute to end-to-end machine learning workflows, including model training, validation, and deployment, working with established tools and patterns and with support from engineering.
- Monitor model performance and data quality, and update models as needed.
What do you need to be successful?
Required
- Bachelor’s or Master’s in Data Science, Computer Science, Statistics, Mathematics, or related field.
- Strong proficiency in Python (pandas, scikit-learn, NumPy).
- Experience using SQL to work with analytical databases and data warehouses.
- Solid understanding of statistical modeling, model evaluation, and experimental methods.
- Familiarity with machine learning techniques (regression, classification, clustering, etc.).
- Hands-on experience building and running machine learning models in production or production-like environments.
- Experience building dashboards with tools like Tableau, or similar.
- Strong analytical and problem-solving skills.
- Ability to balance analytical rigor with practical delivery.
- Excellent communication skills with the ability to translate data insights into business actions.
Preferred
- Familiarity with workflow orchestration or model lifecycle tools (e.g., Airflow, MLflow) at a practical, working level.
- Implement practical model deployment approaches (e.g., batch inference, scheduled retraining) using existing team tools and patterns.
- Experience with cloud platforms (AWS, or similar).
- Knowledge of ML Ops tools (MLflow, Airflow, or similar).
- Exposure to big data technologies (Redshift, Snowflake).
- Experience working in agile environments.
What's in it for you?
- Join an ambitious tech company reshaping the way people build digital experiences
- Full-time employees receive Stock Options for the opportunity to share in the success of our company
- Comprehensive healthcare package covering 100% of monthly health premiums for employees and 85% of costs for your dependents.
- Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
- We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, compassion days for loss, education days, and volunteer days
- Company paid parental leave to care for and focus on your growing family
- Use your personal annual education budget to improve your skills and grow in your career
- Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties
- An annual wellbeing stipend to care for your physical, financial, or emotional health
- A monthly communication stipend and phone hardware upgrade reimbursement.
- New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.
This role will need to be conducted in a state in which we are currently registered to do business. In addition, this position is not eligible for visa sponsorship. Applicants must be authorized to work without the need for visa sponsorship by the start date of employment.
This position is eligible for equity awards in accordance with the terms of Contentful’s equity plans.
The application deadline is 05/21/2026
Colorado Salary Statement: The salary range displayed is specifically for those potential hires who will work or reside in the state of Colorado if selected for the role. Any offered salary is determined based on internal equity, internal salary ranges, market data/ranges, applicant's skills and prior relevant experience, certain degrees and certifications (e.g. JD/technology), for example.
Colorado Salary: $136,000-$184,000
Who are we?
Contentful is a leading digital experience platform that helps modern businesses meet the growing demand for engaging, personalized content at scale. By blending composability with native AI capabilities, Contentful enables dynamic personalization, automated content delivery, and real-time experimentation, powering next-generation digital experiences across brands, regions, and channels for more than 4,200 organizations worldwide. More than 700 people from more than 70 nations contribute their energy and creativity to Contentful, working from hubs in Berlin, Denver, San Francisco, London, New York, and distributed worldwide.
Everyone is welcome here!
“Everyone is welcome here” is a celebrated component of our culture. At Contentful, we strive to create an inclusive environment that empowers our employees. We believe that our products and services benefit from our diverse backgrounds and experiences, and we are proud to be an equal opportunity employer. All qualified applications will receive consideration for employment without regard to race, color, national origin, religion, sexual orientation, gender, gender identity, age, physical [dis]ability, or length of time spent unemployed. We invite you to apply and join us!
If you need reasonable accommodations at any point during the application or interview process, please let your recruiting coordinator know.
Please be aware of scammers who may fraudulently allege to be from Contentful. These types of fraud can be carried out through copycat websites, fake email addresses claiming to be from our company, or social media. We do not ask for your personal information, such as bank account numbers, identification numbers, etc, through social media or chat-based apps, nor do we request or send money for the purchase of business equipment. If you suspect fraud, please report it to your local authorities, as well as reach out to us at security-esk@contentful.com with any information you may have.
By clicking “Apply for this job,” I acknowledge that I have read the “Contentful’s Candidate Privacy Notice” and hereby consent to the collection, processing, use, and storage of my personal information as described therein.
Ready to apply?
Apply to Contentful
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.
Compliance is critical to Klaviyo’s success. Our mission is to provide a reliable sending platform for customers by serving as an integral part of Klaviyo’s abuse prevention, detection, and response ecosystem. We balance risk mitigation with customer experience through proactive abuse detection and policy adherence with an educational mindset. The Compliance Operations Analyst plays a key role in reducing risk of abuse on the Klaviyo platform while enabling an optimal customer experience.
In this role, you’ll monitor and investigate compliance operations and abuse issues, partner with industry players and vendors, and work cross-functionally with R&D, Deliverability, and Customer teams to improve long-term outcomes across Klaviyo’s sending footprint.
Ideal candidates are deeply curious, data-driven, and excited to contribute to systems that scale. You thrive in ambiguous environments and know how to balance short-term incident response with long-term process improvement.
How You'll Make a Difference:
Monitoring & Incident Response
- Monitor anti-abuse signals, logs, and alerts to identify likely abuse and separate it from normal behavior; recommend mitigations within established guardrails.
- Investigate and address compliance and deliverability-impacting abuse events, engaging and escalating for timely response and mitigation.
- Perform customer-impacting incident triage to determine scope, urgency, and potential impact; document timelines, key facts, and execute assigned tasks with high follow-through.
- Generate and review reporting related to threat alerts and user log behavior (e.g., unwanted mail rate, time to detection, response time).
Systems & Signal Ownership
- Monitor the health of assigned signals (noise levels, failure modes) and raise issues when behavior deviates from expectations.
- Partner with Engineering and Security to test and implement signal tuning; develop in-depth knowledge of Klaviyo’s sending infrastructure and compliance policies.
Process & Operational Improvement
- Follow standard compliance workflows reliably; flag recurring pain points, failure modes, and opportunities for incremental improvement (e.g., playbook updates, dashboard filters, macro refinements).
- Enhance techniques, workflows, and tools to drive compliance team operations and support strategic growth.
- Contribute to cross-functional projects and initiatives, representing the operational voice of compliance in incident response and program design.
- Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up.
Cross-Functional Collaboration & Ecosystem Engagement
- Collaborate with R&D, Deliverability, Security, Customer Success, Support, and Sales; share clear summaries, route work to the right partners, and keep stakeholders informed.
- Coordinate with external vendors (e.g., Sift, aggregators, inbox providers) on day-to-day issues using established channels; document outcomes and surface recurring patterns to senior owners.
- Represent Klaviyo in the anti-abuse community by participating in conferences, forums, and mailing lists (e.g., M3AAWG).
- Stay current on industry trends and emerging threats; bring insights back to influence Klaviyo’s infrastructure strategy.
Knowledge Sharing & Team Contribution
- Write clear case notes, runbook steps, and dashboard annotations; contribute to internal guides and training content.
- Share observations from alerts and incidents with Specialists and peers; participate actively in team reviews and standups.
- Drive knowledge-sharing through documentation, cross-functional training, and thought leadership (e.g., blogs, whitepapers, internal guides).
Who You Are
- Thoughtful communicator—skilled at explaining technical processes clearly in both written and verbal channels, including to non-technical audiences.
- Self-motivated and curious—eager to dive deep into data and infrastructure to understand and solve root causes.
- Calm under pressure—with a track record of navigating fast-paced, ambiguous environments with changing priorities.
- Structured problem-solver—known for technical investigation skills and a logical approach to triage and resolution.
- Process-oriented—constantly thinking about how to improve, automate, or streamline repetitive work.
- Collaborative by nature—thriving on cross-functional partnerships and comfortable engaging directly with customers, internal stakeholders, and technical vendors.
- Growth-oriented—actively seeks feedback, practices new tools and techniques, and applies lessons learned to subsequent work.
Required
- 3+ years in a technical SaaS company, anti-abuse, trust & safety, or compliance operations role—preferably at an ESP or high-volume marketing communications provider.
- Data analysis proficiency—comfortable working with infrastructure-level and behavioral data (e.g., unwanted mail rates, time-to-detection, log behavior); able to pull and review dashboards, spot anomalies, and summarize findings into clear observations and recommendations. SQL or equivalent query experience is strongly preferred.
- AI fluency—understands how AI and automation are used in detection systems and operational workflows; comfortable using approved AI tools (e.g., LLMs, AI-assisted log analysis) to accelerate investigation, summarize incidents, or draft communications, while maintaining human judgment in the loop.
- Anti-abuse and fraud prevention tools—proven experience with platforms such as Sift, Stripe Radar, eHawk, or similar.
- Strong understanding of fraud and abuse landscapes, security protocols, and messaging compliance (email, SMS, privacy standards, and global regulations).
- Monitoring & alerting systems—familiarity with log analysis, signal monitoring, or SIEM-style tools (e.g., Splunk, Datadog, or equivalent); able to read and interpret system logs and alert outputs.
- Familiarity with APIs, email and text message marketing platforms, and e-commerce ecosystems.
- Proficiency with Google Workspace, Zendesk (or equivalent case management), Salesforce, and ticketing systems.
- You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.
Bonus
- Presence or active participation in anti-abuse industry groups (M3AAWG, etc.).
- Experience with SMS/MMS technologies, technical writing, training, or web development.
- Python, pandas, or BI tool experience (e.g., Looker, Tableau) for deeper data analysis.
- Familiarity with workflow automation tools (e.g., Zapier, internal scripting) for building repeatable, scalable processes.
Massachusetts Applicants:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.
In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility.
Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.
This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.
Get to Know Klaviyo
We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.
By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
Ready to apply?
Apply to Klaviyo
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.
Compliance is critical to Klaviyo’s success. Our mission is to provide a reliable sending platform for customers by serving as an integral part of Klaviyo’s abuse prevention, detection, and response ecosystem. We balance risk mitigation with customer experience through proactive abuse detection and policy adherence with an educational mindset. The Compliance Operations Analyst plays a key role in reducing risk of abuse on the Klaviyo platform while enabling an optimal customer experience.
In this role, you’ll monitor and investigate compliance operations and abuse issues, partner with industry players and vendors, and work cross-functionally with R&D, Deliverability, and Customer teams to improve long-term outcomes across Klaviyo’s sending footprint.
Ideal candidates are deeply curious, data-driven, and excited to contribute to systems that scale. You thrive in ambiguous environments and know how to balance short-term incident response with long-term process improvement.
How You'll Make a Difference:
Monitoring & Incident Response
- Monitor anti-abuse signals, logs, and alerts to identify likely abuse and separate it from normal behavior; recommend mitigations within established guardrails.
- Investigate and address compliance and deliverability-impacting abuse events, engaging and escalating for timely response and mitigation.
- Perform customer-impacting incident triage to determine scope, urgency, and potential impact; document timelines, key facts, and execute assigned tasks with high follow-through.
- Generate and review reporting related to threat alerts and user log behavior (e.g., unwanted mail rate, time to detection, response time).
Systems & Signal Ownership
- Monitor the health of assigned signals (noise levels, failure modes) and raise issues when behavior deviates from expectations.
- Partner with Engineering and Security to test and implement signal tuning; develop in-depth knowledge of Klaviyo’s sending infrastructure and compliance policies.
Process & Operational Improvement
- Follow standard compliance workflows reliably; flag recurring pain points, failure modes, and opportunities for incremental improvement (e.g., playbook updates, dashboard filters, macro refinements).
- Enhance techniques, workflows, and tools to drive compliance team operations and support strategic growth.
- Contribute to cross-functional projects and initiatives, representing the operational voice of compliance in incident response and program design.
- Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up.
Cross-Functional Collaboration & Ecosystem Engagement
- Collaborate with R&D, Deliverability, Security, Customer Success, Support, and Sales; share clear summaries, route work to the right partners, and keep stakeholders informed.
- Coordinate with external vendors (e.g., Sift, aggregators, inbox providers) on day-to-day issues using established channels; document outcomes and surface recurring patterns to senior owners.
- Represent Klaviyo in the anti-abuse community by participating in conferences, forums, and mailing lists (e.g., M3AAWG).
- Stay current on industry trends and emerging threats; bring insights back to influence Klaviyo’s infrastructure strategy.
Knowledge Sharing & Team Contribution
- Write clear case notes, runbook steps, and dashboard annotations; contribute to internal guides and training content.
- Share observations from alerts and incidents with Specialists and peers; participate actively in team reviews and standups.
- Drive knowledge-sharing through documentation, cross-functional training, and thought leadership (e.g., blogs, whitepapers, internal guides).
Who You Are
- Thoughtful communicator—skilled at explaining technical processes clearly in both written and verbal channels, including to non-technical audiences.
- Self-motivated and curious—eager to dive deep into data and infrastructure to understand and solve root causes.
- Calm under pressure—with a track record of navigating fast-paced, ambiguous environments with changing priorities.
- Structured problem-solver—known for technical investigation skills and a logical approach to triage and resolution.
- Process-oriented—constantly thinking about how to improve, automate, or streamline repetitive work.
- Collaborative by nature—thriving on cross-functional partnerships and comfortable engaging directly with customers, internal stakeholders, and technical vendors.
- Growth-oriented—actively seeks feedback, practices new tools and techniques, and applies lessons learned to subsequent work.
Required
- 3+ years in a technical SaaS company, anti-abuse, trust & safety, or compliance operations role—preferably at an ESP or high-volume marketing communications provider.
- Data analysis proficiency—comfortable working with infrastructure-level and behavioral data (e.g., unwanted mail rates, time-to-detection, log behavior); able to pull and review dashboards, spot anomalies, and summarize findings into clear observations and recommendations. SQL or equivalent query experience is strongly preferred.
- AI fluency—understands how AI and automation are used in detection systems and operational workflows; comfortable using approved AI tools (e.g., LLMs, AI-assisted log analysis) to accelerate investigation, summarize incidents, or draft communications, while maintaining human judgment in the loop.
- Anti-abuse and fraud prevention tools—proven experience with platforms such as Sift, Stripe Radar, eHawk, or similar.
- Strong understanding of fraud and abuse landscapes, security protocols, and messaging compliance (email, SMS, privacy standards, and global regulations).
- Monitoring & alerting systems—familiarity with log analysis, signal monitoring, or SIEM-style tools (e.g., Splunk, Datadog, or equivalent); able to read and interpret system logs and alert outputs.
- Familiarity with APIs, email and text message marketing platforms, and e-commerce ecosystems.
- Proficiency with Google Workspace, Zendesk (or equivalent case management), Salesforce, and ticketing systems.
- You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.
Bonus
- Presence or active participation in anti-abuse industry groups (M3AAWG, etc.).
- Experience with SMS/MMS technologies, technical writing, training, or web development.
- Python, pandas, or BI tool experience (e.g., Looker, Tableau) for deeper data analysis.
- Familiarity with workflow automation tools (e.g., Zapier, internal scripting) for building repeatable, scalable processes.
Massachusetts Applicants:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.
In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility.
Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.
This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.
Get to Know Klaviyo
We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.
By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
Ready to apply?
Apply to Klaviyo
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.
Compliance is critical to Klaviyo’s success. Our mission is to provide a reliable sending platform for customers by serving as an integral part of Klaviyo’s abuse prevention, detection, and response ecosystem. We balance risk mitigation with customer experience through proactive abuse detection and policy adherence with an educational mindset. The Compliance Operations Analyst plays a key role in reducing risk of abuse on the Klaviyo platform while enabling an optimal customer experience.
In this role, you’ll monitor and investigate compliance operations and abuse issues, partner with industry players and vendors, and work cross-functionally with R&D, Deliverability, and Customer teams to improve long-term outcomes across Klaviyo’s sending footprint.
Ideal candidates are deeply curious, data-driven, and excited to contribute to systems that scale. You thrive in ambiguous environments and know how to balance short-term incident response with long-term process improvement.
How You'll Make a Difference:
Monitoring & Incident Response
- Monitor anti-abuse signals, logs, and alerts to identify likely abuse and separate it from normal behavior; recommend mitigations within established guardrails.
- Investigate and address compliance and deliverability-impacting abuse events, engaging and escalating for timely response and mitigation.
- Perform customer-impacting incident triage to determine scope, urgency, and potential impact; document timelines, key facts, and execute assigned tasks with high follow-through.
- Generate and review reporting related to threat alerts and user log behavior (e.g., unwanted mail rate, time to detection, response time).
Systems & Signal Ownership
- Monitor the health of assigned signals (noise levels, failure modes) and raise issues when behavior deviates from expectations.
- Partner with Engineering and Security to test and implement signal tuning; develop in-depth knowledge of Klaviyo’s sending infrastructure and compliance policies.
Process & Operational Improvement
- Follow standard compliance workflows reliably; flag recurring pain points, failure modes, and opportunities for incremental improvement (e.g., playbook updates, dashboard filters, macro refinements).
- Enhance techniques, workflows, and tools to drive compliance team operations and support strategic growth.
- Contribute to cross-functional projects and initiatives, representing the operational voice of compliance in incident response and program design.
- Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up.
Cross-Functional Collaboration & Ecosystem Engagement
- Collaborate with R&D, Deliverability, Security, Customer Success, Support, and Sales; share clear summaries, route work to the right partners, and keep stakeholders informed.
- Coordinate with external vendors (e.g., Sift, aggregators, inbox providers) on day-to-day issues using established channels; document outcomes and surface recurring patterns to senior owners.
- Represent Klaviyo in the anti-abuse community by participating in conferences, forums, and mailing lists (e.g., M3AAWG).
- Stay current on industry trends and emerging threats; bring insights back to influence Klaviyo’s infrastructure strategy.
Knowledge Sharing & Team Contribution
- Write clear case notes, runbook steps, and dashboard annotations; contribute to internal guides and training content.
- Share observations from alerts and incidents with Specialists and peers; participate actively in team reviews and standups.
- Drive knowledge-sharing through documentation, cross-functional training, and thought leadership (e.g., blogs, whitepapers, internal guides).
Who You Are
- Thoughtful communicator—skilled at explaining technical processes clearly in both written and verbal channels, including to non-technical audiences.
- Self-motivated and curious—eager to dive deep into data and infrastructure to understand and solve root causes.
- Calm under pressure—with a track record of navigating fast-paced, ambiguous environments with changing priorities.
- Structured problem-solver—known for technical investigation skills and a logical approach to triage and resolution.
- Process-oriented—constantly thinking about how to improve, automate, or streamline repetitive work.
- Collaborative by nature—thriving on cross-functional partnerships and comfortable engaging directly with customers, internal stakeholders, and technical vendors.
- Growth-oriented—actively seeks feedback, practices new tools and techniques, and applies lessons learned to subsequent work.
Required
- 3+ years in a technical SaaS company, anti-abuse, trust & safety, or compliance operations role—preferably at an ESP or high-volume marketing communications provider.
- Data analysis proficiency—comfortable working with infrastructure-level and behavioral data (e.g., unwanted mail rates, time-to-detection, log behavior); able to pull and review dashboards, spot anomalies, and summarize findings into clear observations and recommendations. SQL or equivalent query experience is strongly preferred.
- AI fluency—understands how AI and automation are used in detection systems and operational workflows; comfortable using approved AI tools (e.g., LLMs, AI-assisted log analysis) to accelerate investigation, summarize incidents, or draft communications, while maintaining human judgment in the loop.
- Anti-abuse and fraud prevention tools—proven experience with platforms such as Sift, Stripe Radar, eHawk, or similar.
- Strong understanding of fraud and abuse landscapes, security protocols, and messaging compliance (email, SMS, privacy standards, and global regulations).
- Monitoring & alerting systems—familiarity with log analysis, signal monitoring, or SIEM-style tools (e.g., Splunk, Datadog, or equivalent); able to read and interpret system logs and alert outputs.
- Familiarity with APIs, email and text message marketing platforms, and e-commerce ecosystems.
- Proficiency with Google Workspace, Zendesk (or equivalent case management), Salesforce, and ticketing systems.
- You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.
Bonus
- Presence or active participation in anti-abuse industry groups (M3AAWG, etc.).
- Experience with SMS/MMS technologies, technical writing, training, or web development.
- Python, pandas, or BI tool experience (e.g., Looker, Tableau) for deeper data analysis.
- Familiarity with workflow automation tools (e.g., Zapier, internal scripting) for building repeatable, scalable processes.
Massachusetts Applicants:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.
In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility.
Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.
This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.
Get to Know Klaviyo
We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.
By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
Ready to apply?
Apply to Klaviyo
Lead Data Science Analyst, GTM Strategic Analytics and Insights
Share this job
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny.
Summary
Klaviyo is looking for a Lead Data Science Analyst to join our GTM Strategic Analytics & Insights team. In this role, you will serve as a senior individual contributor at the intersection of advanced data science, AI/LLM-driven innovation, and Go-to-Market strategy. You will build and maintain sophisticated predictive and inferential models, conduct deep-dive statistical analyses, and develop AI-first solutions that unlock meaningful insights across the pre and post Sales Customer lifecycle.
The successful candidate will partner closely with GTM leadership to shape how Klaviyo understands, measures, and accelerates new business and customer outcomes; from pre-sales motion through onboarding, expansion and retention. You will operate with a strong bias toward AI-augmented workflows and bring a modern, LLM-aware approach to every analytical challenge.
The ideal candidate is intellectually curious, strategically minded, and energized by hard problems. They bring deep technical fluency across the full data science stack, a demonstrated ability to influence senior stakeholders through clear storytelling, and a genuine commitment to building AI-first solutions in a fast-moving SaaS environment.
How You Will Make a Difference
- Build and maintain advanced models: Build and maintain advanced predictive and time-series models: design, train, deploy, and monitor models across use cases such as demand forecasting, capacity planning, deal scoring, and customer propensity; incorporate seasonality, exogenous drivers, and backtesting frameworks to ensure accuracy and robustness
- Apply statistical rigor: lead deep-dive analyses leveraging regression, causal inference, hypothesis testing, correlation analysis, and other statistical methods to surface actionable signals from complex, large-scale datasets
- Develop AI/LLM-powered solutions: architect and implement AI-first analyses and tooling using large language models, prompt engineering, retrieval-augmented generation (RAG), and related techniques to automate insight generation, surface qualitative signals at scale, and augment team capabilities
- Own forecasting and decision systems: Own end-to-end forecasting and operational decision systems, including time-series demand forecasting, capacity planning models (e.g., Erlang-based staffing), and production pipelines that power GTM and Support planning workflows; ensure reliability, scalability, and business adoption of outputs
- Drive customer intelligence: develop and maintain prospect, deal health, archetype, and capacity models that inform GTM strategy, planning, and growth initiatives
- Define the measurement framework: identify, create, and steward benchmarks and metrics that meaningfully represent growth, engagement, and success outcomes
- Communicate with impact: distill complex analyses into clear, cohesive narratives with executive-ready materials that drive decisions at the senior leadership level
- Collaborate cross-functionally: partner with Systems & Engineering, GTM Operations, Rev Ops & Planning, Product, Business Intelligence, Data Science, and Finance to ensure analytical solutions are integrated, scalable, and trusted
Who You Are
- 6+ years of professional experience in an advanced analytics or data science role; SaaS experience strongly preferred
- Deep expertise in statistical inference and modeling, including supervised techniques (regression, classification, gradient boosting, decision trees) and unsupervised techniques (clustering, PCA, anomaly detection, topic modeling)
- Hands-on experience designing and deploying AI/LLM-based solutions, including prompt engineering, fine-tuning, RAG pipelines, or LLM-integrated analytics workflows; you approach new problems with an AI-first mindset
- Familiarity and experience with distributed coding projects, including using Git for code management.
- Advanced proficiency in Python (pandas, numpy, scikit-learn, xgboost, statsmodels, and LLM/AI libraries such as LangChain, OpenAI SDK, or HuggingFace) and SQL; working knowledge of DBT
- Own and scale end-to-end data pipelines, including orchestration with Airflow and transformation/modeling with dbt; design reliable, testable, and modular workflows that support production-grade analytics and machine learning use cases, with a focus on performance, data quality, and maintainability.
- Develop and iterate on time-series forecasting frameworks using approaches such as ARIMA/SARIMAX, ETS, MSTL, and machine learning-based models; evaluate performance through rigorous backtesting and continuously improve model accuracy and business applicability
- Experience building data visualizations and dashboards across platforms such as Tableau, ThoughtSpot, matplotlib, seaborn, plotly, or similar tooling.
- Strong project ownership: experienced operating to a roadmap, managing milestones and deliverables, and delivering high-quality work product in a timely manner
- Comfortable with autonomy and ambiguity, with a proactive orientation toward identifying and solving problems before they're fully defined
- Excellent written and verbal communication skills, including experience preparing materials for executive audiences
Massachusetts Applicants:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location.
In addition to base salary, our total compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign-on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility.
Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.
This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.
Get to Know Klaviyo
We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.
AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop). We provide accommodations as needed.
By participating in Klaviyo’s interview process, you acknowledge that you have read, understood, and will adhere to our Guidelines for using AI in the Klaviyo interview Process. For more information about how we process your personal data, see our Job Applicant Privacy Notice.
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
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Apply to Klaviyo
Data Scientist III - AI & Machine Learning
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ABOUT onX
We’re a team of builders, adventurers, and risk takers using technology to help people confidently explore the outdoors. Driven by our mission to awaken the adventurer inside everyone, we build products that optimize every outdoor experience and inspire confidence to get out and go further.
We’re a high-growth tech company. The pace is fast, the work takes grit, and ambiguity is part of the job. As the world changes around us, we adapt - continuously evolving how we build, prioritize, and deliver.
Our business moves quickly, and there’s real opportunity to shape what we build next. Each of our verticals - Hunt, Offroad, Backcountry, and Fish - is at a different stage of maturity, which means the challenges you encounter and the impact you have will vary depending on where you sit and what the business needs most.
We operate with an experimentation mindset, continually iterating and improving how we solve problems. We expect our people to use the latest tooling, including AI, thoughtfully and responsibly, pairing human judgment with technology to increase quality, speed, and impact.
Our impact comes to life through the products we build, in the stories of our customers, and in our growing commitment to land stewardship and recreational access.
ABOUT THIS OPPORTUNITY
We are looking for a Data Scientist who views machine learning as a product, not just a research project. You will be a foundational member of our AI team, responsible for designing, building, and deploying sophisticated models that solve complex business problems. You aren't just an expert in XGBoost or Transformers; you are an expert in building the pipelines that make these models reliable, scalable, and impactful.
WHAT YOU'LL DO
Essential Job Duties & Functions
- End-to-End Model Development: Design and implement the full ML lifecycle—from exploratory data analysis (EDA) and feature engineering to model selection, tuning, and validation.
- GCP Architecture: Leverage the full Google Cloud AI suite (Vertex AI, BigQuery ML, Dataflow, and Pub/Sub) to build robust, cloud-native ML solutions.
- MLOps & Engineering: Implement CI/CD for machine learning (CT - Continuous Training) to ensure models remain performant in production environments.
- Strategic Leadership: Partner with stakeholders to translate ambiguous business challenges into technical roadmaps. Mentor junior scientists and advocate for best practices in code quality and experiment tracking.
- Look for opportunities to embed AI as a repeatable co-pilot in daily workflows by integrating experimentation into real work, and continuously refining its use with sound judgment and validation.
WHAT YOU’LL BRING
- 5+ years in a professional Data Science role with a track record of deploying models at scale.
- Proficiency in Vertex AI, BigQuery, Cloud Storage, and Looker. Experience with Kubeflow is a major plus.
- Expert-level Python (pandas, scikit-learn, PyTorch/TensorFlow), Spark, and advanced SQL.
- Deep understanding of statistics and ML theory (e.g., Gradient Descent, Bias-Variance tradeoff, Bayesian inference).
- Experience with ETL/ELT processes, specifically using dbt.
- A strong curiosity for exploring new technologies, including AI
- A shared passion for and ability to demonstrate onX’s Company Values.
- Permanent US work authorization is a condition of employment with onX.
Our Tech Stack
- Data Warehouse: BigQuery
- Orchestration: Airflow (Cloud Composer)
- Modeling: Vertex AI Pipelines, JupyterLab
- Deployment: Docker, GKE (Google Kubernetes Engine)
Pro Tip for the Candidate: We value "clean code" as much as "smart math." If you treat your notebooks like production scripts and your Git history is a work of art, you’ll fit right in.
What Sets You Apart
- The "Product" Mindset: You understand that a model with 99% accuracy is useless if it costs more to run than the value it creates.
- Infrastructure as Code: You are comfortable with Terraform or similar tools to manage your cloud resources.
- Communication: You can explain the "why" behind a complex neural network architecture to an executive without using jargon.
THE ONX EXPERIENCE
onX is a distributed company with more than 400 employees across the country. We come together regularly to work in person and stay connected through regional basecamps and a culture that balances individual ownership with deep collaboration.
While we move quickly, we’re not a scrappy start-up. We operate with clear goals, structure, and frameworks that guide how we prioritize and execute. Priorities matter. While they may shift, data shapes how we evolve as our business, products, and the world around us change.
Clear priorities and structure don’t limit ownership - they make it possible. You’ll have the autonomy to define your work and make meaningful decisions within clear strategic boundaries. You’ll partner closely with others to solve complex problems and build solutions that scale across teams and platforms. Along the way, you’ll be supported with feedback, tools, and opportunities to grow your craft as you take on new challenges.
WHERE YOU CAN WORK
onX has created a thriving distributed workforce designed to foster connection, collaboration, and shared experience across several US locations. We have two HQ locations in Bozeman and Missoula, MT and established virtual workforce Basecamps in Austin, TX; Denver, CO; Kalispell, MT; Minneapolis, MN; Portland, OR; Salt Lake City, UT; and Seattle, WA.
HOW YOU’LL BE COMPENSATED
onX is committed to compensating all employees fairly and equitably for their contributions. For this position, applicants can expect to make between $126,000 to $149,000 upon hire. The pay range will vary based on experience, skills, certifications, and education among other factors as required in the job description. In addition, full-time onX employees are eligible for a grant of common share options with a vesting schedule and a potential annual bonus of 10% based on company performance.
WHAT WE’RE OFFERING YOU
- Competitive salaries, annual bonuses, equity, and opportunities for growth
- Comprehensive health benefits, including a no-monthly-cost medical plan
- Paid parental leave of 13 weeks for birthing parents and 5 weeks for non-birthing parents
- 401k matching at 100% for the first 3% you save and 50% from 3-5%
- Company-wide outdoor adventures and amazing outdoor industry perks
- Annual “Get Out, Get Active” funds to fuel your active lifestyle
- Flexible time away package that includes PTO, STO, VTO, and paid holidays
PERFORMANCE ESSENTIALS
In this role, success is driven by cognitive abilities such as concentration and problem-solving, essential for our computer-centric tasks. onX will explore reasonable accommodations to ensure that individuals with diverse abilities can fully engage in and contribute to the essential physical and mental functions of the job. If you need assistance or accommodation, please contact us at PC@onxmaps.com.
Application Deadline is [day of week], [month] [day] at [0:00 pm] MST
Position open until filled.
#LI-Remote
At onX, we believe that unique perspectives make us stronger. By bringing together people with different experiences, ideas, and viewpoints, we fuel innovation and move closer to our mission of awakening the adventurer in everyone. We are proud to be an equal opportunity employer and are committed to fairness not only in hiring, but also in development, compensation, and promotion. Our goal is to build an inclusive community where every team member can show up authentically and thrive. Together, we win as one team. Come join us!
onX Maps will never ask for credit card or SSN details during the initial application process. For your digital safety, apply only through our legitimate website at onXmaps.com or directly via our LinkedIn page.
onX does not sell any Personal Information, but we may transfer employment related records to our service providers or third parties that provide business services to onX or as required by law. For more information, see our Privacy Policy.
As part of our interview process, your conversation may be recorded for documentation purposes to allow interviewers to focus fully on the discussion. Recordings are confidential and accessible only to authorized personnel. Please note, onX respects all applicable laws regarding recording consent, and you will have an opportunity to opt-out if preferred.
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Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.
Xometry is seeking a Principal Data & ML Scientist to join our Generative AI team. The ideal candidate will have a passion for advancing machine learning and generative AI capabilities, particularly for fine-tuning generative and language models, multimodal document understanding, and structured data extraction. This person will leverage their expertise in generative models and data science to develop and optimize innovative AI-driven solutions that enhance Xometry's service offerings.
Responsibilities:
- Provide technical leadership to the Generative AI team, setting technical direction, defining best practices, and ensuring the team follows industry standards in AI and ML development.
- Lead strategic planning and roadmap development for generative AI initiatives, identifying high-impact projects and aligning them with Xometry’s business objectives.
- Develop and deploy generative AI models and large language models (LLMs) for multimodal document processing, focusing on extracting structured data from technical drawings, purchasing orders, and other complex documents.
- Lead the exploration and development of innovative text and image-based data processing solutions, including training and fine-tuning generative and language models.
- Design and implement efficient workflows for data preparation, cleaning, and augmentation to support the training of generative AI models.
- Utilize cloud platforms (e.g., Amazon Web Services) for large-scale data processing, model training, and deployment.
- Collaborate with cross-functional teams, including engineering and business teams, to align generative AI solutions with business needs and drive impactful applications.
- Mentor and guide team members on advanced machine learning techniques, model architecture design, and problem-solving strategies to elevate the team’s technical capabilities.
- Continuously experiment and iterate on model performance, tuning architectures and parameters to improve accuracy and efficiency in a fast-paced, agile environment.
- Stay updated with the latest research in generative AI, deep learning, and multimodal data processing, incorporating best practices and advancements into model development.
Qualifications:
- A bachelor’s degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is highly preferred.
- 7+ years of experience in data science and machine learning, focusing on generative models, LLMs, or computer vision.
- Expertise in large-scale language and vision models (e.g., Transformers, GPT, VLMs).
- Experience with multimodal data processing (e.g., combining text, image, and 3D data).
- Proficient in Python, including key libraries such as PyTorch, TensorFlow, pandas, and numpy.
- Strong background in probability, statistics, and optimization techniques relevant to generative modeling.
- Familiarity with cloud computing resources and tools for model training and deployment (e.g., AWS SageMaker).
- Familiar with software engineering principles, including version control, reproducibility, and continuous integration.
- Experience in the manufacturing, supply chain, or similar industries is a plus.
The estimated base salary range for new hires into this role is $164,000- $213,000 annually + annual bonus depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more.
#LI-Hybrid
Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
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Apply to Xometry
Perform advanced data analysis using AWS applications. Lead predictive analytics by creating statistical models for resource planning of real-time compliance operations system. Perform system tuning to ensure effective hit rate management for Compliance Sanction Scanning systems. Facilitate the implementation of business solutions and develop system automation to minimize manual intervention utilizing specialized transaction account screening tools. Lead Anti-Money Laundering compliance system validation and calibration plan to track and prioritize transaction and account screening activities along with maintaining documentary repository. Conduct in-depth risk and cost effectiveness analysis of transaction screening flow to formulate conclusions and recommendations for leadership and internal stakeholders. Build and present data reports for comparative analysis and conduct post-implementation impact analysis for stakeholders for productivity tracking.
Position allows for partial remote work. Must live within reasonable commuting distance. Reports to company office in Denver, CO.
Job Requirements: Requires at least a Bachelor’s degree in Business Intelligence, Information Systems or related field. Position requires at least 3 years of related experience, which much include some experience in each of the following skills: Programming languages such as SQL, Python, and R to forecast business trends and customer behavior, establish data correlations and identify high-risk patterns associated with regulatory compliance and support strategic initiatives; Manage relational data models using SQL queries in database platforms such as Snowflake and Couchbase for key results (OKRs); Develop visually engaging dashboards in Tableau and Power BI to present financial metrics, trends, and insights for data-driven decision making in enterprise resource allocation and project prioritization; Build self-serve analytics model in pandas-Python library for productivity tracking and optimizing reporting processes to be served directly to stakeholders; Develop business process automation for manual and repetitive tasks related to compliance payment review using algorithm designing to reduce operational costs; Conduct comprehensive financial reporting utilizing statistical modelling techniques such as ANOVA for variance analysis and decision trees and linear regression for predictive analysis.
Salary: $104,300.00 - $193,700.00 per year
To apply, upload resume and cover letter.
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Apply to Convera