Data Scientist

Role – Data Scientist

Location – Las Vegas, NV

Duration – Fulltime Role

• Experience is developing Risk models using Supervised ML techniques.
• Exposure to Model performance metrics.
• Model Development experience in Python/PySpark is preferred.
• An experienced Data Scientist to lead end-to-end AI/ML solution design and implementation across a range of business domains in financial services.
• You will be responsible for architecting robust, scalable, and secure data science solutions that drive innovation and competitive advantage in the BFSI sector.
• This includes selecting appropriate technologies, defining solution blueprints, ensuring production readiness, and mentoring cross-functional teams.
• You will work closely with stakeholders to identify high-value use cases and ensure seamless integration of models into business applications.
• Your deep expertise in machine learning, cloud-native architectures, MLOps practices, and financial domain knowledge will be essential to influence strategy and deliver transformative business impact.
• Proficient in Python, scikit-learn, Tensor Flow, PyTorch, Hugging Face.
• Strong BFSI domain knowledge.
• Experience with NLP, LLMs (GPT), and deep learning.
• Hands-on with MLOps pipelines and tools.
• Experience with graph analytics tools (Neo4j, Tiger Graph, Network
  
  X).

• Experience is developing Risk models using Supervised ML techniques.
• Exposure to Model performance metrics.
• Model Development experience in Python/PySpark is preferred.
• Lead data science teams through complete project life cycles – from ideation to production.
• Define standards, best practices, and governance for AI/ML solutioning and model management.
• Collaborate with data engineering, MLOps, product, and business teams.
• Oversee integration of data science models into production systems.
• Evaluate and recommend ML tools, frameworks, and cloud-native solutions.
• Guide feature engineering, data strategy, and feature store design.
• Promote innovation with generative AI, reinforcement learning, and graph-based learning.
• Knowledge of Spark, PySpark, Scala.
• Experience leading CoEs or data science accelerators.

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.