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Data Engineering Mentor
goals and provide career advice Required Qualifications At least 3 years of experience as a Data Engineer, Data Developer, or in related fields Strong understanding of data engineering skills, tools, and concepts Experience with Apache Spark, Python..., SQL, NoSQL databases, and cloud engineering (Azure, AWS, or GCP) Experience solving real-life data engineering problems with large data sets Empathy and ability to explain complex concepts to beginners
Data Scientist I
and batch inference Fine-tune pre-trained models and provide complete documentation for projects Required Qualifications Bachelor's or master's degree in computer science, Statistics, Mathematics, Data Science, or a related field Experience with Python..., relational and vector databases, and cloud platforms/services Familiarity with machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn Experience with LangChain, LangGraph, and related tools for building LLM-powered applications
Data Scientist I
inference Fine-tune pre-trained models and provide complete documentation for development processes Required Qualifications Bachelor's or master's degree in computer science, Statistics, Mathematics, Data Science, or a related field Experience with Python..., relational and vector databases, and cloud platforms/services Familiarity with machine learning frameworks and libraries such as PyTorch and TensorFlow Experience with LangChain, LangGraph, and LlamaIndex for building LLM-powered applications Understanding
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Quantitative Analyst
finance, mathematics, computer science, or a related discipline Minimum 5 years' experience in quantitative modeling roles within finance, preferably in fixed income analytics Expert proficiency in programming languages including Shell scripting, Python..., SQL, and relational databases Familiarity with cloud-based technologies, especially AWS Deep understanding of bond and loan markets, including fixed income valuation methodologies
Senior Data Scientist
and deliver high-quality advanced analytics and visualizations Required Qualifications 3-5 years of experience in a data science role Strong background in statistics and statistical hypothesis testing Experience with SQL and data access through databases...Proficiency in Python and/or R with knowledge of statistical and data science packages Bachelor's degree in a relevant quantitative discipline; Master's degree is a plus
Senior Data Scientist
Academic background in a quantitative field such as Computer Science, Statistics, Engineering, Economics, or Physics; advanced degree preferred 4+ years of experience in an analytical role Proficiency in at least one programming language, preferably Python...Working knowledge of relational databases (e.g., SQL) Ability to lead and execute modeling efforts from start to finish
Senior Data Scientist
background in a quantitative field such as Computer Science, Statistics, Engineering, Economics, or Physics; advanced degree preferred 4+ years of experience in an analytical role Proven experience with at least one programming language, preferably Python...Working knowledge of relational databases (e.g., SQL) Ability to think about data in terms of statistical distributions and identify patterns for performance
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
Software Engineer II
related field One year of experience in software development or a closely related field Knowledge of web and desktop application development, debugging, and web technologies (HTML, CSS, Web API) Experience with programming languages (.NET, C#, Java, or Python...) and SQL Server database Familiarity with cloud computing platforms (AWS, Azure, or Google Cloud) and security systems for sensitive data
Senior Software Engineer
incidents Redesign key services to enhance scalability and reliability Required Qualifications: 7+ years of software engineering experience, preferably in modern distributed services Proficiency in programming languages such as Golang, Java, and Python...Hands-on experience with database technologies like MySQL, RabbitMQ, CockroachDB, or Cassandra Practical experience with Agile software development principles and methodologies Knowledge of common DevOps and CI/CD tools and processes