Data Scientist, Associate

About The Company RoboStrategy (Nasdaq: BOT) is dedicated to becoming the foremost public investment vehicle specializing in robotics. Our mission is to provide investors with access to the most transformative companies in the robotics sector, many of which remain private and are typically inaccessible through traditional public markets. RoboStrategy delivers strategic, actively managed exposure to the long-term leaders within this innovative category. The firm is managed by FP Strategies, its investment advisor, and this position is employed by FP Strategies. About The Role We are seeking a Data Scientist, Associate to establish and develop RoboStrategy’s data capabilities from the ground up. As the firm’s first data hire, this role offers a unique opportunity for an exceptionally talented early-career professional to take real ownership from day one. The successful candidate will transform shareholder, investor, marketing, and investment data into actionable tools, insightful analyses, and targeted campaigns that drive strategic decisions. This role involves designing, building, and operating data systems, recommending future directions, and uncovering unrecognized challenges and opportunities. Additionally, the Data Scientist will introduce statistical rigor to the firm’s measurement, testing, and forecasting processes. Qualifications 1 to 3 years of experience in data science, analytics, engineering, or a similar quantitative role, or equivalent independent work.Proficiency in SQL and Python, with experience handling complex, real-world data from multiple sources.A portfolio demonstrating completed projects that can be discussed in detail.Experience working with AI tools, including LLM APIs, agents, and AI coding tools, with the ability to verify AI-generated outputs.Familiarity with at least one business intelligence or dashboarding tool and a modern data stack such as BigQuery or Snowflake.Experience with CRM data systems, such as HubSpot, is advantageous.Strong written communication skills, capable of translating analysis into actionable recommendations for busy executives.A degree in computer science, statistics, mathematics, engineering, economics, or a related field, or an equivalent record of exceptional work. Responsibilities Develop and maintain the investor data layer by integrating shareholder records, 13F filings, DTC position reports, and allocator databases into a unified view connected to the CRM system, ensuring compliance with data privacy policies.Design, execute, and measure targeted marketing campaigns by generating segmented target lists and collaborating with distribution and marketing teams to optimize conversion rates.Manage funnel analytics by tracking the customer journey from paid media, social channels, video content, and newsletters through the website to investor actions, identifying points of attrition and opportunities for improvement.Create and maintain AI-driven dashboards and tools for leadership, marketing, and distribution teams, automating recurring reporting processes.Support the investment team by building and maintaining deal-tracking databases, market maps, and portfolio company KPI tracking systems.Apply statistical methods to enhance experimental design, hypothesis testing, and forecasting across campaigns, investor behavior, and portfolio analysis.Proactively identify missing data, questions, and analytical tools, presenting evidence-based cases for their adoption. Benefits Opportunity to be the inaugural data hire at a pioneering investment firm.Remote work flexibility within the United States.Collaborative work environment with senior leadership including the COO, CEO, and CMO.Chance to contribute directly to the growth and strategic direction of the firm’s data function.Exposure to cutting-edge AI and data technologies within the financial and robotics sectors. Equal Opportunity RoboStrategy and FP Strategies are committed to creating a diverse environment and are proud to be equal opportunity employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We encourage applications from all individuals who are passionate about data science and eager to contribute to our mission.