Lead Data Scientist and Machine Learning Engineer
4 weeks ago
Transformative Data Science and AI Expertise
At Adobe, we're on a mission to revolutionize the advertising industry through cutting-edge data science and AI innovations. As a key member of our team, you will be responsible for driving the development and implementation of data-driven solutions that deliver exceptional results. Your expertise in machine learning, data engineering, and statistical modeling will be crucial in shaping our products and services.
Key Responsibilities
- Design, develop, and deploy large-scale machine learning models that drive business growth and customer engagement.
- Lead cross-functional teams to deliver data-driven solutions that meet business objectives and exceed customer expectations.
- Collaborate with product management to create and implement AI-powered features that drive innovation and differentiation.
- Develop and maintain high-quality data pipelines and infrastructure to support data-driven decision-making.
- Stay up-to-date with industry trends and advancements in machine learning and AI, and apply this knowledge to drive innovation and improvement.
Requirements
- PhD or Master's degree in Computer Science, Statistics, or a related field.
- 10+ years of experience in machine learning, data engineering, and statistical modeling, with a focus on large-scale applications.
- Expertise in one or more programming languages, including Python, Java, or C++.
- Experience with data engineering frameworks, such as Apache Beam or Apache Spark.
- Strong understanding of data structures, algorithms, and software engineering principles.
- Excellent communication and leadership skills, with the ability to drive cross-functional teams and influence stakeholders.
Ideal Candidate Profile
- 16+ years of experience in technical roles involving data science, machine learning, or statistics.
- PhD or Master's degree in Computer Science, Statistics, or a related field.
- Experience with real-time bidding and ad tech, with a focus on large-scale applications.
- Comfort with ambiguity and adaptability to evolving priorities, with the ability to lead teams and work autonomously.
- Proven ability to influence technical and non-technical stakeholders, with a strong understanding of business objectives and customer needs.
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