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Senior Quantitative Analyst
statistics, mathematics, engineering, or a related area (PhD preferred) Minimum 4+ years' experience in statistical/econometric modeling focused on consumer credit risk Experience with programming languages for quantitative modeling, such as SAS, R, Python..., or Matlab Database experience using SQL-based databases; cloud-based experience preferred Some experience with machine-learning and artificial intelligence approaches is preferred
Staff Machine Learning Engineer
discipline or a relevant bachelor's degree with 10+ years of experience in Machine Learning Strong experience in AI and ML within the financial technology sector Proven track record in building and deploying machine learning models Proficiency in Python...and SQL programming languages Experience with AWS cloud services, particularly SageMaker for model development
Senior Software Engineer
Science or related discipline with five years of experience, or a Master's Degree with three years of experience, or a PhD in a related field Experience with LLVM open source project is a plus Proficiency in programming languages such as C++, Java, Python..., R, and SQL Experience with Agile software development methods and tools System development experience and debugging in a parallel processing environment
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AI Strategist and Data Analyst
data monitoring Assist in developing processes for advanced analytics and data mining of clinical data Required Qualifications Bachelor's degree in Computer Science required; advanced degree preferred Proficiency in data analysis tools such as R, SQL..., and Python Familiarity with machine learning techniques including natural language processing and predictive analytics Experience applying AI-driven approaches to real-world data problems Hands-on project experience in a biotech, pharmaceutical,
Operations Research Scientist
Communicates with various departments to resolve problems and provides data-driven insights Required Qualifications Master's degree in a relevant field plus 2 years of experience, or a PhD with no experience required Experience with Java, SAS, SQL..., and/or Python for business model analysis Knowledge of commercial optimization, simulation, and machine learning tools Familiarity with cloud computing platforms such as Azure or AWS Experience with data visualization tools like Tableau or Power
Senior Data Scientist
Build enterprise-grade ML models that ensure stakeholder confidence and regulatory compliance Required Qualifications 5+ years of hands-on experience in Data Science or ML Engineering, ideally in pricing or revenue optimization Strong proficiency in SQL...and Python; experience with Snowflake or Streamlit is a plus A Master's degree in a quantitative field is highly desired; a PhD is a plus Experience with advanced analytics, including experimental design and A/B testing Ability to thrive in fast-paced
Data Scientist II
Science or related technical field; MS or PhD is a plus 2+ years of experience as a Data Scientist or Machine Learning Engineer Experience applying machine learning techniques to solve business problems using large-scale data Strong proficiency in Python..., SQL, and machine learning libraries Experience designing and interpreting A/B tests
Lead Data Scientist
Key Responsibilities Build and deploy ML/AI models to address business challenges in areas such as credit risk and fraud detection Analyze large datasets using SQL, Python, or similar tools Collaborate with cross-functional teams to define data-driven...and SQL Experience in documenting and presenting analysis to diverse audiences Proactive and able to thrive in a fast-paced environment
Data Science Manager
Data Science, Mathematics) 4+ years of experience applying statistical methods or machine learning techniques Experience in leading small teams on commercial projects Advanced knowledge of statistical methods and machine learning Proficiency in Python...and SQL
Director of Data Science
PhD) in statistics, computer science, engineering, physical sciences, economics, or a related field Strong background in machine learning and its application to business problems Experience with Google Cloud data environment and technologies such as Python..., Spark, SQL, and Tableau Familiarity with regulatory guidelines in the lending business
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