Data Scientist - AEP

Key Skills

3D data processing, Aartificial intelligence, Analytical and Problem solving, AWS, Azure, Data Analytics, Data science techniques, Google Cloud Platform (GCP), Image processing, Jupyter Notebook, Machine learning techniques, Natural Language Processing (NLP), PySpark, Python Programming, R Programming, SQL

Job Description

The Opportunity

A data scientist with a deep understanding of data analysis, Big Data & Cloud technologies, AI & machine learning, Gen AI, and NLP techniques.

This role involves a combination of data analysis, model development, and critical thinking to tackle sophisticated business problems working across different stages of the development project using data science & technologies to provide solutions and interact directly with enterprise customers for the Adobe Experience Platform

What You'll Do

• Work with Adobe customers to capture requirements, map solutions & make recommendations. Document projects with clear business objectives, provide data gathering & data preparation, final algorithm, detailed set of results
• Experience in Natural Language Processing, Gen AI and Image processing
• Support the execution of Data Science solutions to business problems
• Innovate on new insights to tackle customer needs & assist in building GTM strategies for new solutions
• Experience in AIML modeling like propensity models, clustering, regression, etc.
• Developing ETL pipelines involving big data.
• Developing data processing\analytics applications primarily using PySpark.
• Experience in developing applications on the cloud (AWS/Azure/GCP) mostly using services related to storage, computing, ETL, DWH, Analytics, and streaming.
• Clear understanding and ability to implement distributed storage, processing, and scalable applications.
• Experience in working with SQL and NoSQL databases.
• Ability to write and analyze SQL, HQL, and other query languages for NoSQL databases.
• Proficiency in writing distributed & scalable data processing code using PySpark, Python and related libraries.
• Experience in developing applications that consume the services exposed as REST APIs.
• Understand and clean datasets, interpret outputs and make them comprehensible to understand for other teams.
• Collaboration with consultants onshore & offshore
• Build reusable statistical models & modify existing algorithms
• Report on customer trends and deployment performance and identify areas that we can use target using ML/Data science solutions.
• Responsible for developing & building low-level design as per approved Tech specs, extracting valuable insights from large datasets, building sophisticated AIML models, and driving data-driven decision-making within the organization or for the enterprise customers.
• Get along with key partners and apply your technical proficiency in AIML, Python, R and algorithms.

What you need to succeed

• Demonstrable experience in an AI ML role, with a focus on building data pipelines for conducting data-intensive analysis
• 5+ years of experience with Machine Learning and algorithms for classification, clustering, prediction, recommendations, and NLP
• 5+ years of experience with common Data Science Toolkits (i.e. R, Jupyter Notebooks, PySpark, etc.)
• 5+ years of enterprise development using Python
• Knowledge of Web Analytics or Digital Marketing.
• Solid grasp of Gen AI and LLM
• The ability to improve Standard Algorithms & experience in SQL & Data Modeling experience
• Knowledge & experience using Amazon Sagemaker, Microsoft Azure ML or Google AI technologies
• Demonstrate exceptional interpersonal skills and ability to multi-task simultaneous different customer projects
• Strong verbal & written communication skills to lead customers to a successful outcome and explain sophisticated technical concepts to non-technical customers.
• Excellent problem-solving and critical-thinking skills.
• Experience with big data technologies and cloud platforms (e.g., AWS, Azure, Google Cloud)
• Must be self-managed, proactive and customer-focused

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