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# Senior Pricing Data Scientist

Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move.

[Apply for this job](#job-application)[View company](https://jobicy.com/company/fivetran.md)Share1 Sep 2026Published36Listing views2Application actions1 Oct 2026Apply before  Opportunity details

## About this role.

AI SummaryFivetran is seeking a senior data scientist to own quantitative pricing, packaging, and monetization analyses for its SaaS platform. The role combines econometrics, product-usage and billing analysis, customer research, pricing experiments, and competitive intelligence. This person will partner closely with Product, GTM, Finance, Sales, Marketing, and Legal to develop commercial models and influence executive pricing decisions. Success requires strong SQL and Python capability, applied pricing-research expertise, and the ability to translate complex findings into measurable ARR, margin, and retention outcomes.

## Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

5/5EasyHard

### Pace & Pressure

4/5RelaxedFast-paced

### Autonomy Level

5/5GuidedFull ownership

### Communication Load

5/5IndependentCollaborative

AI insightThis is a senior, cross-functional strategy role requiring advanced quantitative modeling alongside practical pricing implementation and executive influence. The candidate must independently connect causal analysis, customer research, product strategy, and commercial outcomes in a complex SaaS environment.

## Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianHighly competitive$235,551US market range$190k–$270k0$297k

AI insightThe disclosed target new-hire compensation range is $209,378 to $261,723 USD yearly, with a midpoint of $235,550.50. This sits competitively within the estimated US market range of $190,000 to $270,000 for a senior SaaS pricing data scientist with advanced econometric, experimentation, and cross-functional strategy responsibilities; actual pay may vary by location, experience, and level.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Pricing Strategy](https://jobicy.com/jobs?search_keywords=Pricing%20Strategy.md)[Monetization](https://jobicy.com/jobs?search_keywords=Monetization.md)[SaaS Analytics](https://jobicy.com/jobs?search_keywords=SaaS%20Analytics.md)[Econometrics](https://jobicy.com/jobs?search_keywords=Econometrics.md)[SQL](https://jobicy.com/jobs?search_keywords=SQL.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[Pricing Experiments](https://jobicy.com/jobs?search_keywords=Pricing%20Experiments.md)[Customer Research](https://jobicy.com/jobs?search_keywords=Customer%20Research.md)[Revenue Optimization](https://jobicy.com/jobs?search_keywords=Revenue%20Optimization.md)[Executive Communication](https://jobicy.com/jobs?search_keywords=Executive%20Communication.md)

Sample interview questionsHow would you determine whether Fivetran should change pricing for a usage-based product?I would begin by defining the decision, target segment, and success metrics, such as conversion, expansion ARR, gross margin, retention, and support burden. I would analyze usage, billing, deal, and churn data to identify value realization and sensitivity patterns, then combine this with customer research and competitive benchmarks. Where feasible, I would validate recommendations through a controlled pricing or packaging experiment before scaling the change.

Describe how you would estimate price elasticity for different customer segments.

I would segment customers by factors such as size, industry, use case, product adoption, contract structure, and maturity. Using historical variation in price, discounting, usage, and conversion, I would build an econometric model that controls for confounding factors and estimates demand response by segment. I would triangulate the results with survey methods such as conjoint or Gabor-Granger and clearly state uncertainty and operational limitations.

How do you translate a complex pricing model into an executive recommendation?

I focus first on the business decision and present a concise recommendation, expected financial impact, key assumptions, risks, and proposed next steps. Supporting analysis is structured around a small number of decision-relevant visuals, such as segment economics, scenario outcomes, and sensitivity ranges. I keep technical detail available in an appendix while ensuring leaders can understand the trade-offs and make an informed decision quickly.

What would you measure after launching a new packaging model?

I would establish leading and lagging KPIs across the funnel: pricing-page engagement, sales-cycle duration, attach rates, conversion, discount levels, average contract value, expansion, product adoption, gross margin, churn, and net revenue retention. Metrics would be tracked by customer segment, channel, geography where applicable, and legacy versus new packaging cohorts. I would also monitor qualitative feedback from prospects, customers, and sales teams to identify friction not visible in quantitative data.

Tell us about an approach for resolving disagreement between Product and Sales on a pricing decision.

I would clarify each team's underlying objectives and identify the specific assumptions creating the disagreement. Then I would use shared data, customer evidence, and scenario modeling to quantify the impact of alternative options on adoption, revenue, margin, and sales execution. If uncertainty remains material, I would recommend a time-bound pilot with predefined success criteria, allowing the organization to learn quickly without making an irreversible broad rollout.

From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.

About Us

Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.

Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.

Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.

As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.

During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.

About the Role

This is a unique role that sits at the intersection of economics, analytics, product, and strategy. You’ll combine rigorous quantitative analysis with customer research and commercial thinking to shape how Fivetran prices, packages, and monetizes its products.

What You’ll Do

* Analyze product usage, deal, financial, and billing data to model pricing, packaging, and monetization scenarios.
* Design frameworks to assess willingness to pay, customer value, and price realization across customer segments and product lines.
* Conduct research on pricing strategies, packaging models, and monetization approaches across comparable and adjacent markets.
* Lead pricing and packaging strategy for new product launches, partnering with Product, GTM, and Finance to define commercial models
* Build value-based pricing and econometric models to quantify elasticity, customer ROI, and lifetime value.
* Design and execute pricing experiments
* Synthesize quantitative analysis, customer research, and competitive intelligence into executive recommendations that influence pricing strategy.
* Drive customer and prospect research to understand purchasing behavior, value perception, and pricing friction.
* Partner closely with Product, Analytics, Finance, Sales, Marketing, and Legal to deliver end-to-end pricing initiatives.
* Define KPIs and dashboards that measure pricing performance and identify optimization opportunities.
* Continuously evolve our pricing and packaging strategy to improve ARR growth, customer adoption, and value realization.

Skills We’re Looking For

* 5–8 years designing or operating SaaS or sophisticated B2C pricing models, preferably with usage‑based or behavioral pricing experience
* Deep quantitative chops—an advanced degree (PhD/MSc) in Economics, Statistics, Operations Research, Applied Math, or similar
* Fluency in SQL and Python for large‑scale data analysis; proficiency with BI tools such as Looker or Tableau; bonus for dbt
* Hands‑on experience with conjoint, MaxDiff, Gabor-Granger, or Van Westendorp surveys and causal experiment design
* Strong attention to detail and data analysis skills – including interpreting results and recommending actions
* Proven record of turning complex models and analyses into recommendations and shipping changes that moved ARR, gross margin, or NRR
* Collaborative mindset with Product, Analytics, Finance, Sales, and Legal; you can navigate from whiteboard to contract terms with ease
* Strong communication and presentation skills with ability to influence at the executive level

#LI-DJ1 #LI-Remote

The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.

Pay Range

$209,378—$261,723 USD

Perks and Benefits

* 100% employer-paid medical insurance*
* Generous paid time-off policy (PTO), plus paid sick time, inclusive parental leave policy, holidays (including a year end Global Week of Rest), and volunteer days off
* RSU stock grants*
* Professional development and training opportunities
* Company virtual happy hours, free food, and fun team-building activities
* Monthly cell phone stipend
* Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.

*May vary by country and worker type – please reach out to your recruiter for more information

Click [here](https://drive.google.com/drive/folders/1CdawUwjo1Q1B7ghZJ_owdmmHB8VtqhBu?usp=sharing) to learn more about Fivetran’s Benefits by Region.

We’re honored to be [valued at over $5.6 billion](https://fivetran.com/blog/hvr-acquisition-series-d), but more importantly, we’re proud of our [core values of Get Stuck In, Do the Right Thing, and One Team, One Dream](https://fivetran.com/culture). Read about us in [Forbes](https://fivetran-com.s3.amazonaws.com/news/forbes-aug-sept-2022-digital-reprint-10-21-22.pdf).

Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.

To learn more about Fivetran’s culture and what it’s like to be part of the team, [click here](https://www.youtube.com/watch?v=xlhtp4dGh8o) and enjoy our video.

To learn more about our candidate privacy policy, you can [read our statement here](https://fivetran.com/candidate-privacy).

We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don’t hesitate to submit your request by filling out this [form](https://forms.gle/V7k3t4u9j523XkEt6). We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Show more

[Apply now >](https://jobicy.com/jobs/152317-senior-pricing-data-scientist.md)

*

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