[Remote] Senior Data Scientist – Entity Resolution

Note: The job is a remote job and is open to candidates in USA. Talently is a fast-growing, data-driven SaaS company that builds a large-scale platform for enterprise organizations. They are seeking a Senior Data Scientist to play a critical role in scaling and modernizing their AI platform, focusing on entity resolution and the development of ML and NLP models.

Responsibilities

• Design, build, and iterate on ML-based entity resolution systems that match, link, and deduplicate records across disparate data sources to produce trusted golden records
• Build, train, and refine NLP and ML models (e.g., XGBoost, search ranking models) for matching, classification, and data enrichment, with a focus on improving accuracy and recall
• Evaluate and integrate emerging approaches, including LLMs, into entity resolution and data intelligence workflows
• Own the full ML model lifecycle: feature engineering, training, evaluation, monitoring, feedback loops, and iterative tuning in partnership with data engineering and product teams
• Translate model results into business impact and clearly communicate tradeoffs, performance metrics, and recommendations to non-technical stakeholders
• Build and maintain data products end-to-end, operationalize them within production data pipelines, and ensure they deliver reliable, scalable results
• Execute and influence a cohesive data strategy that aligns with company objectives and supports analytics, reporting, and downstream product use cases
• Own complex data modeling initiatives, including dimensional and analytical models that support business intelligence and advanced analytics
• Drive continuous improvement by optimizing data pipelines, query performance, reliability, observability, and cost efficiency
• Partner with Infrastructure, Product, and Engineering teams to ensure data systems meet best practices, security standards, and business needs
• Create and maintain comprehensive technical documentation, including architecture diagrams, data flow maps, runbooks, and operations procedures
• Troubleshoot and resolve complex, cross-system data issues and incidents

Skills

• Bachelor's degree in Data Science, Computer Science, Machine Learning, Statistics, Engineering, or a related field
• 5+ years of progressive experience in data science and/or data engineering, with demonstrated ownership of ML-based systems in production environments
• Hands-on experience building NLP and LLM-based models in Python for real-world data science applications
• Strong understanding of ML model lifecycle considerations, including evaluation, monitoring, feedback loops, and iterative tuning in partnership with data engineering and product teams
• Strong ability to translate model results into business impact and communicate tradeoffs to non-technical stakeholders
• Direct experience building or significantly improving entity resolution or search ranking systems, including ML-based approaches to record matching, linking, and deduplication at scale
• Proficiency with ML frameworks and tools such as XGBoost, scikit-learn, PyTorch, or TensorFlow, and familiarity with search technologies such as Lucene/Elasticsearch
• Demonstrated ability to build and maintain data products end-to-end by operationalizing models within production data pipelines, not solely tuning them
• Advanced proficiency with Python and SQL for both data science and data engineering workflows
• Experience with Snowflake and cloud-native data platforms (Azure, AWS, GCP, or multi-cloud environments)
• Familiarity with data modeling, ETL/ELT processes, and modern data warehousing principles
• Experience working in an agile development environment and collaborating through ticketing systems such as Jira and Github
• Ability to communicate technical concepts clearly to technical and non-technical teams and influence decision-making
• Strong problem-solving skills with the ability to troubleshoot and resolve ambiguous, high-impact issues
• A results-oriented mindset with a demonstrated history of driving process improvements and technical excellence
• Ability to work independently while also serving as a trusted technical partner and mentor to others
• Ability to take vague requirements and turn them into technical roadmaps

Benefits

• Comprehensive health benefits (medical, dental, vision)
• Remote work environment
• 401k match
• Unlimited PTO

Company Overview