Revolutionizing Data Science: How Paras Doshi is Transforming Decision Science and AI

In an era where data-driven decision-making is the backbone of industry transformation, Paras Doshi stands as a visionary leader redefining the landscape of data science, AI, and data engineering. From driving billion-dollar impacts at Opendoor and Amazon to mentoring the next generation of data science professionals, Doshi’s contributions have been both strategic and industry-shaping. His exceptional expertise has earned him widespread acclaim, including the Global Recognition Award and the International Achievers Award, placing him among the most influential figures in data science.

Redefining Data-Driven Decision Making at Opendoor

As Director of Decision Science & Data Engineering at Opendoor, Paras Doshi has been instrumental in transforming the company’s analytics and engineering functions, driving both operational efficiencies and strategic advancements. Leading a cross-functional team of 30 professionals spanning Pricing, Marketing, and Analytics Platforms, Doshi spearheaded efforts to bridge decision-making gaps across departments, ensuring data-driven insights fuel business growth. His leadership has been a catalyst for Opendoor’s evolution, particularly in marketing science, pricing optimization, and analytics platform transformation.

One of Doshi’s most significant contributions was revitalizing Opendoor’s Marketing Science team, which had struggled with performance inefficiencies for years. By consolidating decision-making across marketing, engineering, finance, and research, he introduced streamlined processes that optimized marketing spend and optimized over $100M of spend. His introduction of the Physics of Marketing model played a crucial role in reshaping market-specific strategies, helping the company navigate macroeconomic volatility while maintaining profitability. His efforts enabled Opendoor to move from fragmented, reactive marketing spend to a highly data-driven, proactive marketing framework, making a tangible business impact. In addition to marketing transformations, Doshi played a pivotal role in scaling the Pricing Decision Science team, which grew from one to five team members within a single quarter. Under his leadership, the team delivered high-impact analytics solutions, gaining the trust of pricing leadership and key stakeholders. Additionally, he was instrumental in defining and executing Opendoor’s India strategy, launching a high-impact Analytics Engineering team in India at twice the expected speed, further solidifying Opendoor’s global data capabilities.

Transforming Data Engineering and Analytics at Amazon

Before joining Opendoor, Paras Doshi spent nearly five years at Amazon, where he played a crucial role in expanding and modernizing data analytics and engineering for Alexa Grocery. As Head of Analytics, he built and led a high-performing team of data scientists, engineers, and BI experts, scaling the team from three to nine within the first year. His leadership drove significant cost savings and efficiency gains, notably achieving >$1M in infrastructure cost reductions while improving platform scalability. Doshi’s tenure at Amazon was marked by game-changing innovations in data-driven product growth and monetization. He launched a comprehensive data logging and success metrics framework, which streamlined experimentation and feature analysis, enabling Amazon’s teams to identify new product opportunities worth >$1 billion. These insights directly impacted Alexa Grocery’s business growth, allowing Amazon to make more data-informed decisions about product offerings and customer experiences. Beyond internal contributions, Doshi played a strategic leadership role in Amazon’s broader data initiatives, enhancing data infrastructure, optimizing attribution models, and raising data quality standards. 

Industry Impact Through Thought Leadership and Mentorship

One of Doshi’s most significant contributions to the data community is his widely followed blog, https://insightextractor.com/, which has amassed over 1.5 million visitors. As a platform for deep technical insights, strategic thought leadership, and industry best practices, the blog has become a go-to resource for data professionals worldwide. Covering topics ranging from SQL optimization, data modeling, machine learning applications, to executive-level decision science, Doshi has bridged the gap between technical rigor and business strategy, making complex concepts accessible and actionable for a broad audience.

Paras Doshi’s influence on the data science and AI communities extends far beyond his corporate roles. As a leading voice in analytics, AI, and engineering leadership, he has been selected as a judge for elite AI hackathons, including the Live AI Ivy Plus Hackathon, co-organized by Harvard and Duke Universities, and the Make Ohio Hackathon, organized by Ohio State University. His role as a judge for these prestigious competitions highlights his deep expertise in artificial intelligence and data-driven problem-solving, reinforcing his position as a mentor and evaluator of cutting-edge AI solutions. Further solidifying his thought leadership in AI, Doshi is an active member of the IEEE, AI Frontier Network (AIFN), AI 2030 Community, and the prestigious Raptors fellowship. These memberships connect him with global AI researchers, policymakers, and industry pioneers, allowing him to contribute to shaping the future of AI, machine learning, and data ethics.

Furthermore, Doshi has been a dedicated mentor and coach, contributing to Springboard and Plato’s mentorship programs. Over the years, he has personally guided more than 20 data professionals, helping them land roles in leading technology organizations. His mentorship approach goes beyond technical training; he emphasizes structured thinking, problem-solving, and leadership skills, equipping his mentees with the tools to excel in high-impact data roles. Through his mentorship and thought leadership, Doshi has helped shape the next generation of analytics leaders, creating a multiplier effect that extends his influence across the industry. Additionally, Doshi’s insights have been featured in leading industry panels and events, including Google’s “How Companies Use Data to Win” panel at HP’s Big Data Conference. These engagements highlight his reputation as a data science leader, sought after for his expertise in decision science, AI-driven analytics, and organizational data transformation.

Final Thoughts: The Future of Data Science Leadership

Paras Doshi’s journey is a testament to the power of data-driven transformation. Whether through building high-performing teams, developing innovative analytics solutions, optimizing business strategies, or mentoring future leaders, his influence is far-reaching and impactful. As organizations increasingly recognize data as a competitive advantage, leaders like Paras Doshi are setting the standard for excellence in analytics, decision science and data engineering. His work is not just about building better models or optimizing dashboards – it’s about empowering organizations to make smarter, data-driven decisions that fuel long-term success. In a rapidly evolving industry, Doshi remains at the forefront of innovation, ensuring that the next wave of analytics-driven decision-making is more strategic, scalable, and impactful than ever before.