Remote AI Data Scientist Associate Director

Description:

• Lead a team of Data Scientists providing AI Data Science Solutions to clients.
• Work as part of a global Data Science team to deliver data-driven AI solutions using state-of-the-art methods and tools.
• Collaborate with practice leaders and clients to understand business problems, industry context, data sources, potential risks, and constraints.
• Gather stakeholder feedback and align on approaches, deliverables, and roadmaps with practice leaders.
• Create and maintain efficient data pipelines within clients’ architecture, manipulating data from various internal and external sources using SQL, Spark, and Cloud big data technologies.
• Assemble large, complex data sets from client and external sources that meet functional business requirements.
• Build analytics tools to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
• Perform data cleaning, data quality control, and integrate data from both client internal and external sources on an Advanced Data Science Platform.
• Utilize deep learning principles and architectures, including CNNs, RNNs, and transformers, for natural language processing tasks.
• Manipulate model parameters to achieve desired outcomes in text generation and craft effective prompts to guide AI models.
• Use RAG models to enhance the quality and relevance of AI outputs by integrating external knowledge sources.
• Train and fine-tune models on specific datasets to improve performance and ensure relevance to tasks.
• Conduct statistical data analysis, including exploratory data analysis and data mining, documenting key insights for decision-making.
• Document predictive models and machine learning results for client deliverables.
• Assist clients in deploying models and algorithms within their architecture.

Requirements:

• Consulting experience is required.
• Proven ability to lead a team is essential.
• Profound knowledge of deep learning principles and architectures, including CNNs, RNNs, and transformers, is necessary.
• Deployment experience and understanding of how to integrate models into production are required.
• Engineering experience is preferred.
• In-depth understanding of LLMs and the ability to manipulate model parameters for text generation is essential.
• Expertise in crafting effective prompts for AI models is required.
• Experience with RAG models and integrating external knowledge sources into AI responses is necessary.
• Capability to train and fine-tune models on specific datasets is required.
• A Master's degree in Statistics, Math, Data Analytics, or a related quantitative field is mandatory.
• At least 5 years of post-graduate professional experience in Advanced Data Science is required.
• Demonstrated experience with NLP and other AI components is essential.
• Experience implementing AI solutions is necessary.
• Proficiency in one or more Advanced Data Science software languages (Python, R, SAS) is required.
• Proven ability to deploy machine learning models from research environments to production is essential.
• Experience with SQL and relational databases, including query authoring and tuning, is required.
• Familiarity with Hadoop/Hive, Spark, and data-frames in PySpark or Scala is necessary.
• Strong problem-solving skills and the ability to visualize data for influencing are essential.
• Comfort with cloud-based platforms (AWS, Azure, Google) is required.
• Experience with Google Analytics, Adobe Analytics, or Optimizely is a plus.

Benefits:

• Employees can work remotely, providing flexibility in work arrangements.
• The opportunity to work with a world-class marketing, analytics, and technology company.
• Engage in challenging problem-solving and innovative methodologies.
• Collaborate with exceptional people in a supportive work environment.
• Contribute to high-impact and sustainable results for clients.