Lead Data Scientist and Machine Learning Engineer

4 weeks ago


Bengaluru, Karnataka, India Adobe Full time

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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