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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
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
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
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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
Senior Director of Credit Strategy
strategy Direct to consumer experience in near-prime/sub-prime auto lending Bachelor's degree in a quantitative discipline; Master's degree is a plus Expertise in analytical tools and data analysis, with proficiency in Excel and familiarity with Python..., SQL, SAS or R Demonstrated ability to influence senior leaders and manage a team of analysts or strategists
Principal Data Engineer
Qualifications 10-15+ years of professional experience in data engineering, including 4+ years in a lead role Expertise in building large-scale data solutions in modern cloud platforms (AWS, GCP, or Azure) Proficiency in programming languages such as Python..., SQL, and one or more of Java, Scala, or Go Strong experience with data lakes, data warehouses, and streaming frameworks Hands-on experience with graph databases and algorithms
Machine Learning Engineer
of industry experience building and deploying ML systems at scale Demonstrated success in leading end-to-end ML projects that drove measurable business outcomes Deep expertise in personalization, ranking, or user modeling Advanced proficiency in Python..., SQL, and common ML frameworks (e.g., PyTorch, TensorFlow, XGBoost) Preferred experience in building ML applications in E-commerce or Social products
Senior GTM Financial Analyst
cross-functionally across Sales, Marketing, Finance, or Product Bachelor's degree required; quantitative field preferred MBA or MS strongly preferred; recognized data bootcamp completion acceptable if no quantitative degree 2+ years experience with Python..., SQL, and data visualization tools like Tableau
Data and AI Architect
+ years Company experience in data and AI architecture initiatives, including cloud-native platforms and machine learning lifecycle management Expertise in distributed data systems, data warehouse, and model operationalization frameworks Proficiency in Python..., SQL, Snowflake, MongoDB, and cloud technologies (AWS preferred) Strong understanding Company AI/ML ethics, governance, and responsible AI principles Comfortable working in agile environments with excellent stakeholder engagement skills
Solutions Architect
with PySpark, AWS, and Databricks Required Qualifications 8+ years of experience in data engineering, architecture, or related roles Proven experience designing enterprise-grade data systems Deep expertise with AWS, Databricks, and PySpark Strong Python...and SQL skills
