Pay
$118K–$194K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,819 postings in the last year. Stated ranges, not salaries paid.
New York office · New York, United States
Actively hiring, first seen by us 2 days agoEmployment type: Full-timeFrom the employer’s posting
Department: DataFrom the employer’s posting
As a Data Scientist on our team, you will not only define and predict our company’s core metrics, you will drive them.
Your work will be hyper cross-functional, sometimes driving forward technical projects in partnership with an engineer, other times leading an operational workstream.
Predict operational throughput and bottlenecks from internal workflow data
Prototype AI modeling approaches with the Engineering team, such as insurance outcome prediction
Build externally facing data products for key partners and join client engagements
Establish core data sources and metrics so the team can answer business questions in real time
Source market data to shape go-to-market and growth strategy
As a Data Scientist on our team, you will not only define and predict our company’s core metrics, you will drive them. This is a role of immense range, stretching from developing advanced analytical models to owning end-to-end strategic project implementation.
Your work will be hyper cross-functional, sometimes driving forward technical projects in partnership with an engineer, other times leading an operational workstream. You will also engage directly with Fortune 100 customers to understand their needs and present on Forus' performance and relevant insights.
Leveraging our internal workflow data to predict operational throughput and bottlenecks
Prototyping new modeling approaches to AI problems (e.g., outcome prediction and optimization for insurance-related processes) in collaboration with our Engineering team
Create and rapidly iterate on externally facing data products for Forus' key partners and actively participate in priority client engagements
Establish Forus' core data sources and metrics to empower everyone on the team to answer complex questions about Forus' business in real-time
Sourcing and using industry and market data to shape Forus' go-to-market and growth strategy
We provide this support free to doctors and patients, helping them get life-changing medicine faster, cheaper, and easier.
In the employer’s words · Read in context · Company website ↗
Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$118K–$194K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,819 postings in the last year. Stated ranges, not salaries paid.
Day 2
Early. Similar jobs usually come down between day 7 and day 57.
From 10,789 similar postings that came down. Coming down is not always a hire.
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- An advanced degree in a quantitative field or 4+ years of work experience in an analytics-heavy, business-focused role - Strong technical background with exceptional ability to do data analysis using SQL and Python, as well as pick up new tools on the fly - Ability to bring clarity to ambiguous problems and lead projects with major business impact, collaborating across teams and levels to drive sound decisions
Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.
Already applied? Track this application
Yes. We’ve followed one other Data Scientist job there since August 2026. It is still up.
New Data Scientist postings at the employers we follow are down 5% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Forus is building an AI-powered network that connects doctors, pharmacies, payers, and biopharma to accelerate new science to patients.
Our platform automates the complexity between a doctor prescribing a medicine and a patient starting treatment, including insurance coverage, financial assistance, and supply chain navigation. We provide this support free to doctors and patients, helping them get life-changing medicine faster, cheaper, and easier. The resulting network enables biopharma companies to design better research, launch new drugs more effectively, and invest in harder-to-treat conditions.
Forus has exceptional product-market fit and is growing rapidly through organic adoption:
Accelerating scale: We already support patients across more than 85% of ZIP codes and partner with 9 of top 15 largest biopharma companies in the world.
AI-native, durable model: Our business becomes stronger as AI improves, as every new doctor, patient, and partner makes the network more valuable.
Backing to build for the long term: We raised $300M+ from leading investors to build an exceptional team and unlock the full scale of the opportunity.
Our number one priority is scaling to market demand. We are looking for individuals who are high horsepower, high throughput, and hyper resourceful to help us increase capacity and grow. We move fast and need to move faster.
If we succeed, science will be the only limit to medicine.
All full-time roles are in person in New York.
About the roleAs a Data Scientist on our team, you will not only define and predict our company’s core metrics, you will drive them. This is a role of immense range, stretching from developing advanced analytical models to owning end-to-end strategic project implementation.
Your work will be hyper cross-functional, sometimes driving forward technical projects in partnership with an engineer, other times leading an operational workstream. You will also engage directly with Fortune 100 customers to understand their needs and present on Forus' performance and relevant insights.
This is a demanding role, with a high level of autonomy and responsibility. You will be expected to "act like an owner" and commit yourself to Forus' success. If you are low-ego, hungry to learn, and excited about intense, impactful work that drives both company growth and accelerated career progression, we want to hear from you.
Drive strategic projects that require deep data analysis, with accountability for end-to-end execution and business outcomes – this may include:
Sourcing and using industry and market data to shape Forus' go-to-market and growth strategy
Leveraging our internal workflow data to predict operational throughput and bottlenecks and prioritize new workflow automations as we scale
Prototyping new modeling approaches to AI problems (e.g., outcome prediction and optimization for insurance-related processes) in collaboration with our Engineering team
Building out a unified user interaction model to define Forus' consumer and provider product roadmaps
Create and rapidly iterate on externally facing data products for Forus' key partners and actively participate in priority client engagements
Establish Forus' core data sources and metrics to empower everyone on the team to answer complex questions about Forus' business in real-time
Work directly with our CEO and leadership team as a critical partner in making business decisions as we balance speed of growth and long-term profitability
An advanced degree in a quantitative field or 4+ years of work experience in an analytics-heavy, business-focused role
Strong technical background with exceptional ability to do data analysis using SQL and Python, as well as pick up new tools on the fly
Ability to bring clarity to ambiguous problems and lead projects with major business impact, collaborating across teams and levels to drive sound decisions
Comfort with zooming in and out of problems, jumping between high-level thinking and granular methods of problem-solving
Strong written and verbal communication that allows you to be an effective participant in both internal debates and external relationships
Track record of moving quickly, finding shortcuts, and going to unreasonable lengths to deliver on goals
High NPS with your former teammates
This is a list of ideal qualifications for this position. If you don't meet every single one of them, you should still consider applying! We’re excited to work with people from underrepresented backgrounds, and we encourage people from all backgrounds to apply.
Working with usForus is based in New York, with our full team working out of a beautiful and spacious office in SoHo.
We run as a high-trust environment with high autonomy, which requires that everyone is fully competent and operates in line with our principles:
Do the math. Be rigorous, assume nothing. Break problems down and reason from the ground up. Stay open to changing your mind.
Resourceful optimism. Assume problems are solvable. Be audacious. Resist false constraints and push beyond the obvious before deciding.
Spit it out. Speak directly, invite critique, avoid equivocation. We want right answers, not comfortable ones. All killer, no filler.
Raise the bar. Hold a high standard for your pace and execution, and elevate the performance of the team around you. Mamba mentality.
Fight for users. Start with users’ realities, not ours. Resist optimizing for internal convenience over user outcomes.
We provide competitive compensation with meaningful equity (for full-time employees). Everyone who joins will be a major contributor to our success, and we reflect this through ownership and pay.
We also provide rich benefits to ensure you can focus on creating impact (for full-time employees):
Fully covered medical, vision, and dental insurance.
Memberships for One Medical, Talkspace, Teladoc, and Kindbody.
Unlimited paid time off (PTO) and 16 weeks of parental leave.
401K plan setup, FSA option, commuter benefits, and DashPass.
Lunch at the office every day and Dinner at the office after 6:30 pm.
Our salary ranges are based on paying competitively for our company’s size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Forus (for full-time employees). Individual pay decisions are ultimately based on a number of factors, including qualifications for the role, experience level, skillset, geography, and balancing internal equity.
Forus is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
New York, United States
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.