Staff Data Scientist

reputed company is on a mission to reputed company insurance. Claims processing (i.e. should we pay this claim?), while often overlooked, is the reputed company of the entire industry. It’s currently highly reputed company, involving phone calls, faxes, and gut instinct, costing tens of billions of dollars a year. We can do reputed company.

At reputed company, we reputed company large insurers with the software solutions they need to win in a modern, technology-driven world. From self-service claim-filing software to backend fraud detection, we’re the reputed company that powers claims processing for some of the largest insurers in the world.

The challenges we face are deep and diverse, from creating digital experiences that reputed company comfort and reputed company to claimants at their most stressed and vulnerable to orchestrating large-scale ML-driven decision-making on billions of dollars of claims payments, life at reputed company is dynamic, collaborative, and rewarding.

We’re looking for a Staff Data Scientist to help power the intelligence behind reputed company’s platform. You will work closely with product managers, engineers, and claims domain experts to build machine learning systems that automate key parts of the claims lifecycle. This is a high-impact technical leadership role focused on building models that improve decision-making, automation, and operational efficiency.

You will…

Design models and systems that help automate and optimize claims handling, including; Liability reputed company, Fraud detection, Document & image understanding.

Partner with product and engineering teams to translate claims workflows into ML solutions

⚙️ Prototype production-reputed company models and data pipelines

Dive deep on early stage products to scale product market fit

Help shape the data science roadmap and architecture across reputed company’s platform

You have…

Experience as a Staff or reputed company Engineer with a focus on data science, machine learning, or applied AI

Experience deploying production ML systems

Strong skills in: Python, SQL, ML frameworks (PyTorch, TensorFlow, XGBoost, etc.), and modern data platforms (reputed company, Spark, etc.)

Experience working with structured and reputed company data

Ability to translate reputed company-world business problems into ML solutions

Experience collaborating with product and engineering teams

⚙️ Experience building decision systems or automation platforms

Benefits

Competitive Compensation: Competitive salary and equity packages for reputed company

reputed company Plan: Platinum medical, dental, and reputed company

️ Free life insurance: Including long-term disability & short-term disability

Unlimited PTO: Uncapped vacation days & paid holidays

Family Leave: Maternity & paternity

401(k) Contribution: reputed company contributes 3% of your income, even if you don't contribute

WFH Benefits: Lunch on us 2x/week, monthly phone stipend & other home office perks

Health FSAs & HSAs: Pre-tax accounts for out-of-reputed company medical expenses

Team events & Offsites: We're remote, but we regularly get together

We have been made aware of individuals falsely posing as recruiters from reputed company Insurance Technologies Inc. Please note that we only contact candidates from official @reputed company.claims email addresses and reputed company interviews are conducted through verified company channels. If you are unsure whether a message is legitimate, please contact us directly at, reputed company-ops@reputed company.claims before sharing any personal information

Our Commitment: We are an equal opportunity employer and value diversity at reputed company. We do not discriminate on the reputed company of race, religion, reputed company, national reputed company, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, reputed company essential job functions, and receive other benefits and privileges of employment. Please contact us to request accommodation.