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Senior Software Engineer
a quantitative field such as Computer Science, Mathematics, Engineering, or Physics Strong knowledge of algorithm design and data structures Experience with large-scale distributed data processing systems like Apache Spark or Hadoop Proficient in Python...and SQL programming Familiarity with basic graph theory concepts
Senior Data Scientist
Key Responsibilities Collaborate with business partners to develop innovative solutions using advanced techniques and tools Develop, test, and deploy data science solutions utilizing Python, SQL, and PySpark on enterprise platforms Design and optimize...and SQL Proven ability to build and deploy Streamlit dashboards for model explainability
Data Engineer
Key Responsibilities Build and maintain robust ETL pipelines from scratch Work with large, complex datasets using Python and raw SQL Deliver data solutions that drive business outcomes for enterprise clients Required Qualifications 3+ years of...experience as a Data Engineer Strong Python and SQL skills Hands-on experience with PySpark, AWS, and Databricks Proven experience building ETL pipelines
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Staff AI and ML Engineer
to address business problems Analyze data trends, identify patterns, and derive actionable insights Develop, train, and evaluate machine learning and deep learning models, and deploy them into production environments Requirements: Proficiency in Python..., SQL, and machine learning frameworks (e.g., PyTorch, TensorFlow) Experience with computer vision and image processing techniques Strong understanding of statistics, probability, and financial modeling Hands-on experience with cloud platforms (AWS
AI Data Engineer
Science, Data Engineering, Company Systems, or equivalent experience 10+ years of experience in data engineering, data warehousing, or cloud data platforms Hands-on experience with AWS data services such as Glue, S3, and Redshift Proficiency in Python..., SQL, and ETL development Understanding of data privacy, security, and compliance in regulated environments
Pricing Analyst II
market data research Required Qualifications Bachelor's Degree or equivalent experience 2 or more years of prior work-related experience 2-4 years analytical experience in mortgage banking, reinsurance, or financial services preferred Knowledge of Python..., SQL, SAS, VBA, and/or similar programming languages Experience with AWS and BI tools such as Tableau or Power BI
Senior Finance Machine Learning Engineer
Collaborate with cross-functional teams to align data science solutions with business objectives Required Qualifications: 4+ years of experience in data science, with expertise in model deployment and GenAI or LLM applications Strong proficiency in Python..., SQL, and statistical modeling techniques Experience building production data pipelines in AWS Knowledge of time series analysis and advanced feature engineering Experience with finance datasets and SOX compliance requirements
Machine Learning Engineer
drive technical excellence across teams Required Qualifications 4+ years of industry experience in building and deploying ML models Experience applying scientific methods to solve real-world problems with consumer-scale data Advanced proficiency in Python..., SQL, and ML frameworks like PyTorch and XGBoost Proficiency in applied statistics and experience with visualization tools Preferred: Experience in building ML applications for Discovery and Personalization domains
Data Science Manager
scalable data solutions Required Qualifications MS or PhD in Computer Science, Data Science, AI/ML, Statistics, or a related field 7+ years of experience in data science roles, with at least 3 years in a leadership position Strong proficiency in Python..., SQL, and ML frameworks like TensorFlow or PyTorch Experience with big data technologies and cloud platforms such as AWS or GCP Proven track record of deploying machine learning models at scale
Senior Analytics Analyst
., R, Python, SQL) and data visualization software (e.g., Tableau, PowerBI) Fluency in speaking Japanese required Knowledge of supply chain, forecasting, and optimization preferred Experience processing and presenting large quantities of data (Millions