לוח משרות דרושים, לחיפוש זה נמצאו 34,165 משרות

What you'll be doing

Set the AI roadmap for the company, and push AI initiatives across the organization.

Run the weekly AI review, where each function shows what it automated that week.

Enable the CEO directly, keeping him at the front line of AI technology, and drive tech stack improvements.

Work closely with R&D leadership to ensure cross-company collaboration.

Enabling the Sales, CX and Marketing teams to become AI-native.

Ramp every new hire on the ScaleOps AI stack within their first two weeks.

Audit every function for AI gaps and prioritize by revenue impact.

Measure adoption - hours saved, tasks automated, usage rate per skill.

We are looking for a Senior Data Scientist to lead strategic research initiatives . This individual will be at the forefront of our companys research, working hands-on to advance our models while also mentoring and collaborating with data scientists across the department.
Responsibilities
Spearhead strategic research of new cutting edge Machine Learning models
Mentor and advise data scientists.
Design solutions for the companys core mission using Data Science methodologies from various domains
Work in a short life-cycle research and development environment
Generate and test working hypotheses in unexplored territory/

The Group Lead is a critical leadership position within our company. This role involves managing a high-performing group responsible for driving profitability and strategic decision-making through advanced data analytics, optimization strategies, and predictive modeling related to loan funding and issuance (specifically in the Personal Loans product, which is our companys largest product).
This is primarily a management-focused role, requiring a high level of technical understanding to guide the team, combined with the professional maturity and executive presence necessary to effectively collaborate with and present to company leadership.
Responsibilities
Leading, mentoring and managing a multidisciplinary group comprising Data Scientists, Data Analysts and Optimization Specialists.
Defining and executing overall strategy, ensuring alignment with the companys financial goals and product roadmap.
Oversighting of the group's projects, initiating new ideas and proactively improving the companys abilities.
Fostering a culture of data-driven decision-making, continuous learning, and high-velocity iteration within the team.
Directing the team in performing sophisticated data analytics to identify trends, market anomalies, and segmentation opportunities impacting profitability.
Leading the development and implementation of optimization algorithms and strategies aimed at maximizing loan portfolio performance, minimizing risk, and increasing overall profitability.
Translating complex data insights into clear, actionable business recommendations for partnerships and operational teams, to ensure seamless integration of data-driven solutions.
Serving as the primary representative of the group, presenting complex findings, strategic recommendations, and group performance metrics to the company's executive team and other departments.
Guiding the development, validation, and deployment of advanced predictive models to enhance performance.

As a Senior Product Manager, your role would involve end to end product management ownership, a combination of product discovery, PRD & tickets creation, communication, execution, working closely with engineering, research, analysts & partners teams. You would be responsible for driving the execution of the relevant engineering group and delivery of platform solutions that support the organizations initiatives.
Responsibilities
Collaborate with stakeholders to define requirements, product requirements and roadmap for our company platform, aligning it with the companys overall goals and objectives.
Lead the development and delivery of our company underwriting infrastructure solutions, working closely with engineering teams, ensuring the timely execution of projects and adherence to quality standards.
Define and track key performance indicators (KPIs) to measure the effectiveness and impact of infrastructure solutions, making data-driven decisions for continuous improvement.
Communicate regularly with internal and external stakeholders, providing updates on the progress of projects, addressing their concerns, and managing expectations.