Staff Data Scientist

Full-time | On-site

Location: San Francisco

We are a well-funded, rapidly growing technology company building advanced AI solutions for the enterprise. We are seeking a Staff Data Scientist to bring deep technical rigor, statistical expertise, and product acumen to our data-driven decision-making process. This high-impact role requires an ability to structure ambiguous problems and directly influence product strategy and company performance.

As a Staff Data Scientist, you will be the primary driver of experimentation culture and advanced analysis, ensuring data is used strategically to measure growth, test product changes, and evaluate the performance of our AI models.

In this role, you will:

Frontend Deployed Engineer - API Tools & Developer Experience

Location: On site - Williamsburg, Brooklyn

Compensation: $170,000 – $230,000

We are a rapidly scaling software company, backed by top investors, enabling businesses to offer "Stripe-level" SDKs (client libraries) and documentation for their REST APIs. Our platform tackles the core pain points of APIs—untyped, unstandardized, and out-of-sync—by leveraging technology inspired by internal tooling at major tech firms. We are looking for an ambitious Frontend Deployed Engineer to help us scale from $1M to $10M ARR.

This is a high-impact, hands-on role at the intersection of engineering and customer success, ideal for engineers with entrepreneurial goals. You will work directly with CTOs, VPs of Engineering, and developers at fast-growing tech companies to solve their highest-priority problems, influence our product roadmap, and drive adoption.

What You’ll Do:

Senior Data Scientist - Economic Risk & DeFi Simulation

Location: Remote - Preference for NYC - Will accept Remote USA & Europe to work EST hours

Compensation: $130K - $150K

We are the first automated, on-chain economic security system, trusted by leading protocols managing billions of dollars (including Aave, GMX, dYdX, and others). We provide actionable insights by analyzing protocol mechanics and scenario implications using world-class custom EVM simulations. We are seeking a proactive and results-driven Senior Data Scientist to advance our modeling capabilities and deliver powerful data insights across decentralized finance.

Reporting to the Head of Economic Risk & Strategy, you will play a critical role in strategic research, simulation, and risk analysis for market-leading protocols. This involves deep diving into complex crypto systems, modeling actor behavior, and translating intricate simulation results into intuitive, game-changing analytics for our institutional customers.

Responsibilities:

Staff Data Scientist

Location: San Francisco, CA (100% On-site)

Compensation: $200,000 - $300,000 (Base Salary) + Equity

We are a high-growth, well-funded AI company building the most advanced conversational AI agents for the enterprise, serving customers like Duolingo, Notion, and Rippling. We are seeking a Staff Data Scientist to bring deep technical rigor, advanced statistical methods, and analytical frameworks to our product and business strategy. This role requires a blend of strong analytical expertise, product acumen, and the ability to influence strategic decision-making at the highest levels.

As a Staff Data Scientist, you will be the primary driver of data-driven decision-making and the experimentation culture across the entire company. Your work will directly inform product strategy and company performance.

In this role, you will:

Location: San Francisco, CA

Employment Type: Full-time

On-site: 5 days a week in-office

About the Role

Our client, a high-growth AI company building advanced conversational AI agents for enterprises (with over $231 million in funding and clients like Duolingo and Notion), is seeking a Staff Data Scientist. This role demands deep technical rigor to analyze, test, and apply data across the business.

You'll blend advanced analytical expertise with product acumen to influence strategic decisions at the highest levels, being the primary driver of the experimentation culture.

What You'll Do

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Various market research firms, including Forrester and Gartner, have recognized our business value and leadership. We are seeking someone with a good blend of business consulting skills and a data analytics background. If you are passionate about working on unstructured business problems that can be solved using data, we would like to talk to you.

Responsibilities

We are looking for a highly motivated, results-oriented Business Analyst to join our Revenue operations team. The primary focus of this position will be to create accurate reporting and ensure data integrity and cohesion throughout the customer journey utilizing various data points from the business CRM to subscription accounting systems.  The right person for this job has a team player approach, attention to detail, excels at problem solving through critical analysis, and is challenged by process review and continuous improvement. This role focuses on supporting business operations through insightful data analysis and streamlined reporting to the RevOps Director and involved stakeholders, while safeguarding and managing data integrity throughout the tech stack. The ability to recognize trends and remove bottlenecks throughout the RevOps Engine by suggesting and assisting in the implementation of automations, automated reporting and seamless system integrations will also be a major focus for the position.

You will be joining the RevOps team within the Commercial organization that facilitates the smooth processes, reporting, analytics and enablement of the client facing teams, maximizing the effectiveness of the Revenue Engine.

Requirements

About Jobgether:

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our partner companies is currently looking for a Senior Data Scientist in the United States or Canada.

This is a fully remote opportunity to join a fast-growing SaaS company that’s building a data-first go-to-market (GTM) engine. As Senior Data Scientist, you will design and implement scalable data systems, drive high-impact insights, and optimize business processes to improve growth and operational efficiency. Reporting to the VP of Business Operations, you will work closely with Sales, Marketing, and Growth teams to improve funnel performance, enhance automation, and build a strong analytics culture. This role is ideal for someone who thrives on solving complex problems, blending technical and business thinking, and creating scalable data solutions.

Accountabilities:

• Provide accuracy in CRM (Pipedrive) and subscription accounting systems 

• Partnering closely with RevOps Manager to understand our CRM and subscription accounting systems and work on continuous improvement 

• Cultivating and sustaining strong working relationships with pivotal business partners and GTM teams (e.g.

About Jobgether:

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Sr. Data Scientist / Sr. Analytics Engineer in the United States.

This role is ideal for a data expert who thrives on transforming raw information into actionable insights and scalable data models. You’ll work within a growing Analytics team to support business decision-making through rigorous data analysis, visualization, and transformation. Your work will span ad hoc analysis, data modeling using dbt, and reporting through SQL and visualization tools. You’ll collaborate closely with stakeholders across the organization, making complex data accessible and usable for non-technical teams. This is not a machine learning-focused role, but one that requires strong analytical thinking and an engineering mindset for data infrastructure and communication.

Accountabilities: