Data Scientist

Join to apply for the Data Scientist (Work From Home) role at Persona . Persona is the company top startups use to hire people from all around the world. Our vision is a future where each person can find the best role for them and companies can discover the world’s best talent. Founded by two Stanford University graduates, Persona works with the world’s fastest-growing technology startups. Our clients are funded by some of the world’s top investors, like Founders Fund, Sequoia Capital, and Andreessen Horowitz. Persona is a talent agency that recruits, trains, and staffs talented remote professionals such as yourself. This is an opportunity to work closely with the future Googles, Facebooks, and Amazons of the world—building out their organizations and helping them reach the next level of success. We support everyone we hire with training, mentoring, and technology resources so they are enabled to do their best and are as happy as possible in their roles. We have a large international team dedicated to supporting and taking care of new Persona team members, and our goal is to provide excellent long-term career opportunities for everyone who joins the team. What we’re looking for: We are looking for a Data Scientist who will work on building models, analyzing large datasets, and creating tools that power our investment decisions. You'll play a strategic role in leveraging data to identify high-potential startups and improve how we evaluate and support portfolio companies. Responsibilities—what you'll do: Build and maintain predictive models to score startups and markets. Apply machine learning techniques to extract insights from structured and unstructured data. Use historical deal flow and startup performance data to improve sourcing and screening. Design tools and internal systems that support scalable decision-making. Automate data pipelines and workflows to reduce manual work. Integrate third-party data (e.g., Crunchbase, PitchBook, LinkedIn) into internal platforms. Work with the investment team to validate insights and hypotheses using data. Translate complex models and insights into actionable recommendations. Help roll out native AI solutions across the firm to improve efficiency and deal quality. Requirements: Bachelor’s or Master’s degree in Statistics, Computer Science, Data Science, Applied Mathematics, or a related field. 4+ years of experience in data science, machine learning, or analytics. Prior experience in startups or venture capital firms is strongly preferred; a demonstrated interest is a plus. Experience in Python or R for data analysis and modeling. Experience working with APIs and data scraping. Ability to work U.S. business hours (Pacific Time, Central Time, or Eastern Time). This position is for serious, career-oriented candidates. Qualities we look for: Strong problem‑solving skills and analytical thinking. Ability to explain complex concepts to non‑technical audiences. Comfortable working independently and exploring messy datasets. Interest in using data to drive strategic decisions. What we offer: Best salaries in the industry. Permanent ability to work from anywhere in the world. Opportunities for growth and advancement. A fast‑paced and collaborative environment. Warm and friendly company culture. Full benefits. Benefits at Persona: Health insurance. Unlimited paid time off (paid sick and vacation leaves). Annual bonuses based on performance. Monthly tech allowance. Opportunity to be paid in your currency of choice. This is a full‑time and long‑term role. We are looking for individuals who are ready to fully commit their time and energy to one company and grow and develop along with that company. All roles at Persona are 100% work‑from‑anywhere (work from home or wherever it suits you best). If this is your first time working for a U.S. company, that’s okay; we provide guidance and assistance getting set up as a remote professional. Once hired, we will carefully match you to a client company of ours that perfectly suits your career background, skills, and goals. Visit our website for more information: #J-18808-Ljbffr