1 to 25 of 28 Feature Engineering Jobs in the South West

structures to other ESP modeling tools. Qualifications EXPERIENCE/QUALIFICATIONS/EDUCATION REQUIRED Educational Requirements Bachelor's and/or master's in electrical engineering, economics, mathematics, or a related quantitative field (data science or data engineering emphasis desired). Required Work Experience 3-5 years of experience … high-performance computing environments. Experience with extracting, transforming, and loading processes and tools for handling large-scale datasets. Demonstrated ability to develop and deploy Feature Engineering and Modeling applications to data platforms built on Databricks or similar platforms and platform components (e.g., Snowflake, ML Flow, Airflow, etc.). More ❯

APIs, S3 buckets, web interfaces) in multiple formats. Develop programmatically validated data schemas and supporting documentation. Explore and recommend alternate technologies for enhanced data engineering solutions. Key Skills & Experience: 5+ years of relevant industry experience, ideally within financial services, capital markets, or asset management sectors. Proficient in Python … relational databases, validation, cleansing) and algorithms/data structures. Experienced in Agile development environments and test-driven development. Background working with geospatial data and feature engineering for machine learning applications. Good communicator, team player, with strong attention to detail and creativity. Desirable: Demonstrated portfolio of work (e.g., open More ❯

APIs, S3 buckets, web interfaces) in multiple formats. Develop programmatically validated data schemas and supporting documentation. Explore and recommend alternate technologies for enhanced data engineering solutions. Key Skills & Experience: 5+ years of relevant industry experience, ideally within financial services, capital markets, or asset management sectors. Proficient in Python … relational databases, validation, cleansing) and algorithms/data structures. Experienced in Agile development environments and test-driven development. Background working with geospatial data and feature engineering for machine learning applications. Good communicator, team player, with strong attention to detail and creativity. Desirable: Demonstrated portfolio of work (e.g., open More ❯

APIs, S3 buckets, web interfaces) in multiple formats. Develop programmatically validated data schemas and supporting documentation. Explore and recommend alternate technologies for enhanced data engineering solutions. Key Skills & Experience: 5+ years of relevant industry experience, ideally within financial services, capital markets, or asset management sectors. Proficient in Python … relational databases, validation, cleansing) and algorithms/data structures. Experienced in Agile development environments and test-driven development. Background working with geospatial data and feature engineering for machine learning applications. Good communicator, team player, with strong attention to detail and creativity. Desirable: Demonstrated portfolio of work (e.g., open More ❯

APIs, S3 buckets, web interfaces) in multiple formats. Develop programmatically validated data schemas and supporting documentation. Explore and recommend alternate technologies for enhanced data engineering solutions. Key Skills & Experience: 5+ years of relevant industry experience, ideally within financial services, capital markets, or asset management sectors. Proficient in Python … relational databases, validation, cleansing) and algorithms/data structures. Experienced in Agile development environments and test-driven development. Background working with geospatial data and feature engineering for machine learning applications. Good communicator, team player, with strong attention to detail and creativity. Desirable: Demonstrated portfolio of work (e.g., open More ❯

APIs, S3 buckets, web interfaces) in multiple formats. Develop programmatically validated data schemas and supporting documentation. Explore and recommend alternate technologies for enhanced data engineering solutions. Key Skills & Experience: 5+ years of relevant industry experience, ideally within financial services, capital markets, or asset management sectors. Proficient in Python … relational databases, validation, cleansing) and algorithms/data structures. Experienced in Agile development environments and test-driven development. Background working with geospatial data and feature engineering for machine learning applications. Good communicator, team player, with strong attention to detail and creativity. Desirable: Demonstrated portfolio of work (e.g., open More ❯

APIs, S3 buckets, web interfaces) in multiple formats. Develop programmatically validated data schemas and supporting documentation. Explore and recommend alternate technologies for enhanced data engineering solutions. Key Skills & Experience: 5+ years of relevant industry experience, ideally within financial services, capital markets, or asset management sectors. Proficient in Python … relational databases, validation, cleansing) and algorithms/data structures. Experienced in Agile development environments and test-driven development. Background working with geospatial data and feature engineering for machine learning applications. Good communicator, team player, with strong attention to detail and creativity. Desirable: Demonstrated portfolio of work (e.g., open More ❯

APIs, S3 buckets, web interfaces) in multiple formats. Develop programmatically validated data schemas and supporting documentation. Explore and recommend alternate technologies for enhanced data engineering solutions. Key Skills & Experience: 5+ years of relevant industry experience, ideally within financial services, capital markets, or asset management sectors. Proficient in Python … relational databases, validation, cleansing) and algorithms/data structures. Experienced in Agile development environments and test-driven development. Background working with geospatial data and feature engineering for machine learning applications. Good communicator, team player, with strong attention to detail and creativity. Desirable: Demonstrated portfolio of work (e.g., open More ❯

APIs, S3 buckets, web interfaces) in multiple formats. Develop programmatically validated data schemas and supporting documentation. Explore and recommend alternate technologies for enhanced data engineering solutions. Key Skills & Experience: 5+ years of relevant industry experience, ideally within financial services, capital markets, or asset management sectors. Proficient in Python … relational databases, validation, cleansing) and algorithms/data structures. Experienced in Agile development environments and test-driven development. Background working with geospatial data and feature engineering for machine learning applications. Good communicator, team player, with strong attention to detail and creativity. Desirable: Demonstrated portfolio of work (e.g., open More ❯

APIs, S3 buckets, web interfaces) in multiple formats. Develop programmatically validated data schemas and supporting documentation. Explore and recommend alternate technologies for enhanced data engineering solutions. Key Skills & Experience: 5+ years of relevant industry experience, ideally within financial services, capital markets, or asset management sectors. Proficient in Python … relational databases, validation, cleansing) and algorithms/data structures. Experienced in Agile development environments and test-driven development. Background working with geospatial data and feature engineering for machine learning applications. Good communicator, team player, with strong attention to detail and creativity. Desirable: Demonstrated portfolio of work (e.g., open More ❯

a collaborative data science environment. Key Responsibilities: Support senior data scientists on active projects. Clean, organize, and analyze datasets for business insights. Contribute to feature engineering and model building. Learn how A/B tests and data experiments are structured and interpreted. Assist in creating dashboards and visualizations More ❯

a collaborative data science environment. Key Responsibilities: Support senior data scientists on active projects. Clean, organize, and analyze datasets for business insights. Contribute to feature engineering and model building. Learn how A/B tests and data experiments are structured and interpreted. Assist in creating dashboards and visualizations More ❯

a collaborative data science environment. Key Responsibilities: Support senior data scientists on active projects. Clean, organize, and analyze datasets for business insights. Contribute to feature engineering and model building. Learn how A/B tests and data experiments are structured and interpreted. Assist in creating dashboards and visualizations More ❯

a collaborative data science environment. Key Responsibilities: Support senior data scientists on active projects. Clean, organize, and analyze datasets for business insights. Contribute to feature engineering and model building. Learn how A/B tests and data experiments are structured and interpreted. Assist in creating dashboards and visualizations More ❯

a collaborative data science environment. Key Responsibilities: Support senior data scientists on active projects. Clean, organize, and analyze datasets for business insights. Contribute to feature engineering and model building. Learn how A/B tests and data experiments are structured and interpreted. Assist in creating dashboards and visualizations More ❯

a collaborative data science environment. Key Responsibilities: Support senior data scientists on active projects. Clean, organize, and analyze datasets for business insights. Contribute to feature engineering and model building. Learn how A/B tests and data experiments are structured and interpreted. Assist in creating dashboards and visualizations More ❯

a collaborative data science environment. Key Responsibilities: Support senior data scientists on active projects. Clean, organize, and analyze datasets for business insights. Contribute to feature engineering and model building. Learn how A/B tests and data experiments are structured and interpreted. Assist in creating dashboards and visualizations More ❯

a collaborative data science environment. Key Responsibilities: Support senior data scientists on active projects. Clean, organize, and analyze datasets for business insights. Contribute to feature engineering and model building. Learn how A/B tests and data experiments are structured and interpreted. Assist in creating dashboards and visualizations More ❯

a collaborative data science environment. Key Responsibilities: Support senior data scientists on active projects. Clean, organize, and analyze datasets for business insights. Contribute to feature engineering and model building. Learn how A/B tests and data experiments are structured and interpreted. Assist in creating dashboards and visualizations More ❯

PhD in a relevant discipline or Master’s plus a comparable level of experience Experienced in Knowledge Graphs Experience with traditional ML models and feature engineering. Experience with LLMs. Strong programming skills (e.g., Python) and experience with modern ML frameworks (e.g., PyTorch, TensorFlow, LangChain). Collaborating with other Researchers … Product, Engineering and Business Stakeholders in an agile manner to demonstrate value and iterate with customer feedback. For immediate consideration, please apply today More ❯

PhD in a relevant discipline or Master’s plus a comparable level of experience Experienced in Knowledge Graphs Experience with traditional ML models and feature engineering. Experience with LLMs. Strong programming skills (e.g., Python) and experience with modern ML frameworks (e.g., PyTorch, TensorFlow, LangChain). Collaborating with other Researchers … Product, Engineering and Business Stakeholders in an agile manner to demonstrate value and iterate with customer feedback. For immediate consideration, please apply today More ❯

PhD in a relevant discipline or Master’s plus a comparable level of experience Experienced in Knowledge Graphs Experience with traditional ML models and feature engineering. Experience with LLMs. Strong programming skills (e.g., Python) and experience with modern ML frameworks (e.g., PyTorch, TensorFlow, LangChain). Collaborating with other Researchers … Product, Engineering and Business Stakeholders in an agile manner to demonstrate value and iterate with customer feedback. For immediate consideration, please apply today More ❯

PhD in a relevant discipline or Master’s plus a comparable level of experience Experienced in Knowledge Graphs Experience with traditional ML models and feature engineering. Experience with LLMs. Strong programming skills (e.g., Python) and experience with modern ML frameworks (e.g., PyTorch, TensorFlow, LangChain). Collaborating with other Researchers … Product, Engineering and Business Stakeholders in an agile manner to demonstrate value and iterate with customer feedback. For immediate consideration, please apply today More ❯

PhD in a relevant discipline or Master’s plus a comparable level of experience Experienced in Knowledge Graphs Experience with traditional ML models and feature engineering. Experience with LLMs. Strong programming skills (e.g., Python) and experience with modern ML frameworks (e.g., PyTorch, TensorFlow, LangChain). Collaborating with other Researchers … Product, Engineering and Business Stakeholders in an agile manner to demonstrate value and iterate with customer feedback. For immediate consideration, please apply today More ❯

PhD in a relevant discipline or Master’s plus a comparable level of experience Experienced in Knowledge Graphs Experience with traditional ML models and feature engineering. Experience with LLMs. Strong programming skills (e.g., Python) and experience with modern ML frameworks (e.g., PyTorch, TensorFlow, LangChain). Collaborating with other Researchers … Product, Engineering and Business Stakeholders in an agile manner to demonstrate value and iterate with customer feedback. For immediate consideration, please apply today More ❯