Data Scientist

Forus•New York, NY

12d•Onsite

About The Position

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 operations 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.

Requirements

Able to bring clarity to ambiguous problems and lead projects with major strategic/business impact, collaborating across teams and levels to drive sound decisions.
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
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

Responsibilities

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