Job Title: Data Scientist Location: Guadalajara, Mexico, Hybrid This is a hybrid position, which will require the ability to be onsite in our Guadalajara, Mexico office as needed. Candidates must be based in Guadalajara. ABOUT THE COMPANY: Salesloft is building the next era of enterprise revenue — one where teams make confident decisions powered by AI and real signals. By combining our scale, insights, and AI innovation, we're building the industry's first Predictive Revenue System, enabling humans and AI to work together to make smarter decisions and drive consistent growth. With thousands of customers using our platforms every day, we have an unmatched view into how revenue is actually won — the Revenue Context that reveals what happens, when, and with what outcome. This gives us a unique opportunity to transform an entire category and set a new benchmark for how modern revenue teams operate. Join us to help transform how companies around the world run revenue — and build the platform that will guide leading revenue teams into the future. THE OPPORTUNITY: At Salesloft, our Data Scientists are pivotal to our company's success. You will be a key member of our fast-growing and high-performing data science team and will conduct innovative machine learning research and build product feature prototypes that will deliver value to our customers. On a day-to-day basis, you will be responsible for solving business problems using our in-house data and your technical prowess. Specifically, you will: - Apply advanced statistical techniques and concepts to analyze data from the company databases and other unstructured data sources to build innovative product features, marketing content, and internal services. - Invest in the sales engagement domain; collaborate with product, engineering, sales, customer success, and other teams to understand business and customer needs, and translate them to tangible data science problems. - Own and manage complex projects and communicate effectively with stakeholders. - Contribute to the rapid growth of the research organization, being flexible in data engineering, algorithmist, and analyst responsibilities as they arise. In addition to working with amazing colleagues who live our core values every day, you will also have the opportunity to build revolutionary AI and ML systems that are changing the way sellers sell. You will have an opportunity to make a difference. WHAT WE'RE LOOKING FOR: We are seeking a results-oriented, deeply curious, and strategic researcher who is passionate about owning their work and its impact. You are a leader and mentor who thrives on identifying gaps in knowledge and charting new paths for innovation. Specifically, you will play a pivotal role in helping us push the boundaries of what's possible in AI for sales by taking ownership of complex projects and seeing them through to completion. If you're looking for an opportunity to learn more, do more, and become more, then becoming a Senior Data Scientist is the career path for you! THE TEAM: Our Salesloft Data Science team is comprised of seasoned and up-and-coming Data Scientists. Values: Move as One, Evidence over Ego, Lead from the Front, Make Your Mark, Customer-Inspired. The Data Science team consists of collaborative and self-motivated individuals who are passionate about their craft. We operate in a dynamic environment where our project timelines more closely align with engineering sprints than academic papers. We value intellectual curiosity and encourage researchers to voice feedback and help prioritize projects that will have the biggest impact. THE SKILL SET: - 2+ years of experience as an AI Researcher, Data Scientist, or ML Engineer. - Experience delivering components of research projects, from experimental design to implementing models. - Strong proficiency in AI agent systems, Natural Language Processing (NLP), and classic machine learning methodologies. - A collaborative spirit with a passion for sharing knowledge with your peers. - Experience turning research findings into actionable insights for technical partners. - Excellent communication skills; you must be able to articulate complex technical concepts - familiarity with python for data processing, ML, AI agents - familiarity with frameworks for agentic AI (LangGraph, Google ADK, Open AI Agents SDK etc) At Salesloft, we are committed to creating an inclusive and supportive workplace where everyone belongs and can thrive. We focus on culture add, not culture fit, and believe our teams are made stronger by the unique perspectives, experiences, and identities each person brings. We are proud to be an Equal Opportunity Employer and provide employment opportunities to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, pregnancy, or any other characteristic protected by law. If you're excited about this role even though your experience may not perfectly match every requirement, we encourage you to apply. We are actively hiring across multiple geographies and would love to welcome passionate, curious, and mission-driven individuals to our growing team. Explore our open roles and consider joining us! #LI-Hybrid Please note that all official communication regarding job opportunities at Salesloft will come from an @salesloft.com email address. If you receive messages on LinkedIn or other job platforms claiming to be from Salesloft, they may not be legitimate. To verify the authenticity of any job-related communication, please visit our official Careers Page ( https://salesloft.com/company/careers/ ). We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, notetaking, or summarizing responses. These tools assist our recruitment team but do not replace human judgment — all hiring decisions are made by people. If you would like more information about how your data is processed or prefer to opt out of any AI-assisted tools, please let your recruiter know. Opting out will not impact your experience or consideration.