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Staff Data Scientist

Assured

United States$240,000 - $260,000 / yearData

About Assured

Assured is on a mission to modernize insurance. Claims processing (i.e. should we pay this claim?), while often overlooked, is the foundation of the entire industry. Itโ€™s currently highly manual, involving phone calls, faxes, and gut instinct, costing tens of billions of dollars a year. We can do better.

At Assured, we provide 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, weโ€™re the engine 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 provide comfort and clarity 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 Assured is dynamic, collaborative, and rewarding.

Weโ€™re looking for a Staff Data Scientist to help power the intelligence behind Assuredโ€™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.

Responsibilities

๐Ÿ”ง Design models and systems that help automate and optimize claims handling, including; Liability prediction, Fraud detection, Document & image understanding.

๐Ÿค Partner with product and engineering teams to translate claims workflows into ML solutions

โš™๏ธ Prototype production-ready models and data pipelines

๐Ÿ“ˆ Dive deep on early stage products to scale product market fit

๐Ÿงฉ Help shape the data science roadmap and architecture across Assuredโ€™s platform

Requirements

๐Ÿง  Experience as a Staff or Principal Engineer with a focus on data science, machine learning, or applied AI

๐Ÿš€ Experience deploying production ML systems

๐Ÿ Strong skills in: Python, SQL, ML frameworks (PyTorch, TensorFlow, XGBoost, etc.), and modern data platforms (Snowflake, Spark, etc.)

๐Ÿ“Š Experience working with structured and unstructured data

๐Ÿงฉ Ability to translate real-world business problems into ML solutions

๐Ÿค Experience collaborating with product and engineering teams

โš™๏ธ Experience building decision systems or automation platforms

Benefits

๐Ÿค‘ Competitive Compensation: Competitive salary and equity packages for all employees

๐Ÿฅ Healthcare Plan: Platinum medical, dental, and vision

๐Ÿ›ก๏ธ Free life insurance: Including long-term disability & short-term disability

๐Ÿ„ Unlimited PTO: Uncapped vacation days & paid holidays

๐Ÿ‘ถ Family Leave: Maternity & paternity

๐Ÿ“ˆ 401(k) Contribution: Assured contributes 3% of your income, even if you don't contribute

๐Ÿ  WFH Benefits: Lunch on us 2x/week, monthly phone stipend & other home office perks

๐Ÿ‘ช Health FSAs & HSAs: Pre-tax accounts for out-of-pocket medical expenses

๐Ÿค Team events & Offsites: We're remote, but we regularly get together

Our Commitment

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

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, 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, perform essential job functions, and receive other benefits and privileges of employment. Please contact us to request accommodation.