Data Science Senior Manager Tredence Inc.

About Tredence Inc.

Job Description

Role description Job Title: Senior Manager Generative AI & Data Science Job Summary: We are seeking a highly experienced Senior Manager with a deep understanding of Generative AI, machine learning, and data science to lead our advanced AI initiatives. The ideal candidate will bring 12-15 years of experience in data science and AI, showcasing a proven track record of delivering high-impact solutions across multiple domains. As a Senior Manager, you will lead and mentor a team of data scientists, data engineers, and AI specialists while working closely with cross-functional teams to solve complex business challenges. Key Responsibilities: Lead and manage the design, development, and implementation of advanced AI/ML models, specifically focused on Generative AI, deep learning, and data-driven decision-making processes. Drive AI and data science strategies across the organization, ensuring alignment with business goals and objectives. Collaborate with business leaders and stakeholders to identify key opportunities for leveraging AI/ML and data science technologies to create innovative solutions and improve operational efficiency. Lead and mentor a team of data scientists and AI engineers, fostering a culture of innovation, collaboration, and continuous learning. Oversee the execution of end-to-end AI projects, from conceptualization to deployment, ensuring the delivery of high-quality, scalable solutions. Develop and maintain models using techniques such as deep learning, natural language processing (NLP), reinforcement learning, and other advanced algorithms. Manage and oversee data pipelines and architecture, ensuring data quality, security, and accessibility for AI/ML model development. Present insights and results to senior executives, stakeholders, and clients, translating complex technical concepts into actionable business strategies. Stay updated on the latest advancements in AI, machine learning, and data science trends, ensuring the company remains competitive in the evolving AI landscape. Key Requirements: Experience: 12-15 years of experience in data science, AI, and machine learning, with at least 5 years in a leadership role managing teams and delivering AI-driven business solutions. Technical Expertise: Strong expertise in Generative AI models (e.g., GANs, transformers) and hands-on experience with deep learning techniques. Proficiency in machine learning frameworks such as TensorFlow, PyTorch, and Keras. In-depth knowledge of data science concepts, including statistical modeling, predictive analytics, and feature engineering. Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP). Skills: Strong leadership and people management skills, with experience in mentoring and guiding teams. Excellent problem-solving and analytical skills, with the ability to tackle complex technical challenges. Proven experience in translating technical solutions into business value and clear communication with non-technical stakeholders. Expertise in data visualization tools (e.g., Tableau, Power BI, Matplotlib). Soft Skills: Strong communication and presentation skills. Ability to work in a collaborative, fast-paced environment. Strategic thinking and a results-oriented approach. Preferred Qualifications: Experience in Natural Language Processing (NLP), computer vision, or reinforcement learning applications. Proven experience in working with generative models in real-world applications. Experience in deploying AI models to production and maintaining them. Familiarity with agile methodologies and product development processes. Dynamic, innovative, and collaborative work environment.,