Position Summary

A data scientist cum data engineer with 5+ years of experience with a deep understanding of data analysis, Big Data & Cloud technologies, AI & machine learning, GenAI and NLP techniques. You will be responsible for developing & building low level design as per approved Tech specs, extracting valuable insights from large datasets, building advanced AIML models and driving data-driven decision-making within the organization or for the enterprise customers. This role involves a combination of data analysis, model development, and strategic thinking to solve complex business problems. You will interact with key stakeholders and apply your technical proficiency in AIML, Python, R and algorithms. You will work across different stages of the development project using data science & technologies to provide solutions and interface directly with enterprise customers for the Adobe Experience Platform.

What you'll do

Interface with Adobe customers to gather requirements, map solutions & make recommendations. Document projects with clear business objectives, provides data gathering & data preparation, final algorithm, detailed set of results
Experience in Natural Language Processing, GenAI and Image processing
Support the execution of Data Science solutions to business problems
Innovate on new ideas to solve customer needs & assist to create GTM strategies for new solutions
Experience in AIML modeling like propensity models, clusterings, regression, etc.
Developing ETL pipelines involving big data.
Developing data processinganalytics applications primarily using PySpark.
Experience of developing applications on cloud(AWS/Azure/GCP) mostly using services related to storage, compute, ETL, DWH, Analytics and streaming.
Clear understanding and ability to implement distributed storage, processing and scalable applications.
Experience in working with SQL and NoSQL database.
Ability to write and analyze SQL, HQL and other query languages for NoSQL databases.
Proficiency in writing disitributed & 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.
Strong collaboration with consultants onshore & offshore
Create 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.

Requirements

2+ years of experience & knowledge with Web Analytics or Digital Marketing.
5+ years of experience in AIML role, with a focus on building data pipelines for conducting data intensive analysis
5+ years of experience with Machine Learning and alogrithims 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
Strong understanding of GenAI and LLM
Ability to enhance Standard Algorithms is required
Knowledge & experience using Amazon Sagemaker, Microsoft Azure ML or Google AI technologies
5+ years of complex SQL experience
5+ years of Data Modeling experience
Demonstrate exceptional organizational skills and ability to multi-task simultaneous different customer projects
Strong verbal & written communication skills to lead customers to a successful outcome and explain complex technical concepts to non-technical stakeholders.
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
Degree in Computer Science, Information Systems or related field
Should be able to work in teams

Special Consideration given for

Experience & knowledge with Adobe Experience Cloud solutions
Experience & knowledge with Web Analytics or Digital Marketing

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