Senior Data Scientist
Exp: 14+ yrs
Remote
ESSENTIAL DUTIES AND RESPONSIBILITIES
• Data Science and Exploration:
• Translates business needs into advanced analytics requirements to support the organization and its members.
• Proactively mines data warehouses to identify trends and patterns and generates insights to enhance the experience of our members.
• Performs large-scale experimentation to identify hidden relationships between variables in large datasets.
• Research and implement cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence to make data analysis more efficient.
• Determines requirements that will be used to train and evolve deep learning models and algorithms.
• Develops frameworks and processes to analyze unstructured information to enrich the decision-making capabilities of our members.
• Maintains up-to-date knowledge of machine learning and data analytics tools and techniques.
• Strong knowledge of predictive modeling methodology, acting as a catalyst and mentor in the organization.
• Machine Learning Operations:
• Ensures that AI models are maintained throughout the lifecycle, ensuring proper monitoring and observability across environments.
• Partners with stakeholders to properly implement ModelOps, ensuring consistency and integrity in solutions.
• Establish and implement explainability frameworks, like Model Context Protocols and SHAP.
• Monitor and optimize models for accuracy, performance, and cost efficiency.
• Data Governance and Security
• Works with data governance led to establish and enforce data governance standards,guidelines, processes, and best practices to ensure data quality and integrity.
• Implement data protocols to ensure compliance with regulatory requirements and company policies.
Collaboration and Strategy:
• Provides technical leadership and mentorship to junior data team members.
• Stays updated on data science techniques and best practices, making recommendations for continuous improvement.
• Experienced at leveraging both structured and unstructured data sources.
ADDITIONAL DUTIES AND RESPONSIBILITIES
• Support data observability efforts to ensure the data continuum and enforce governance standards.
• Other duties assigned by manager or project needs.
QUALIFICATIONS
• Bachelor''s or Master''s degree in Computer Science, Information Systems, Data Science,or a related field.
• Minimum of 8 years of experience in data science, machine learning, data management, data governance, or a related role.
• Experience using statistics and machine learning to solve complex business problems.
• Experience conducting statistical analysis with advanced statistical software, scripting languages, and packages.
• Experience building and deploying predictive models, web scraping, and scalable data pipelines.
Technical Skills:
• Working knowledge of cloud services (i.e., MS Azure, AWS, Google Cloud).
• Experience with AI tools, such as MS Azure ML, Snowflake CortexAI, Dataiku.
• Strong knowledge of data governance, data security, and compliance practices.
• Proficiency in programming languages such as Python, R, or SQL.
• Familiarity with data visualization and reporting tools (e.g., Webfocus, Power BI)
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