Product Owner - Data Science & Engineering

What you'll do : - Lead the development of innovative Generative AI products, ensuring strategic alignment with business goals. - Champion user needs by evangelizing and driving widespread adoption of your Generative AI products across the organization. - Collaborate with cross-functional teams - AI, data science, engineering, marketing - to transform ideas into reality. - Integrate Generative AI assets seamlessly into existing enterprise data pipelines and platforms for optimal performance. - Define and track key performance indicators (KPIs) to measure product success and drive continuous improvement. - Clearly communicate capabilities and value propositions to diverse stakeholders, including technical and non-technical audiences. You're a perfect fit if you have : - Bachelor's degree in analytics (Data Science, Computer Science, Engineering) with 7 years of experience in data science, analytics, engineering, or product management. - 2-3 years of hands-on product management experience, demonstrating a track record of successful product launches. - 2 years of software development experience (ML-adjacent projects preferred), with a deep understanding of software development and design principles. - Experience working with various types of data and a strong understanding of the entire data science lifecycle (data engineering, EDA, Machine Learning, MLOps, Serving). - Experience working in Agile teams and a passion for collaborative innovation. - Hands-on experience developing Machine Learning-based products with Large Language Models and Generative AI solutions is a big plus - Excellent written and verbal communication skills to effectively engage with both technical and non-technical audiences. Bonus points for : - Advanced degree in Data Science, Computer Science, or related field. - Experience with data science platforms like Dataiku Data Science Studio or AWS SageMaker. - Developed and operated parametrized, automated, and reusable analytic workflows. - Knowledge of Pharma & Life Science commercial functions and data literacy. (ref:hirist.tech)

Location: in, IN

Posted Date: 11/22/2024