Insight Global
Remote Intl - India - Feature Engineer
Insight Global, Plano, Texas, us, 75086
A client is looking for a Feature Engineer to focus on creating, modifying, and optimizing features for Data Scientists and Machine Learning Engineers to model. Rsponsibilities include:
1. Data Cleaning and Preprocessing: Preparing raw data by handling missing values, outliers, and inconsistencies. 2. Feature Creation: Generating new features from existing data through domain knowledge, mathematical transformations, and statistical techniques. 3. Feature Selection: Identifying the most relevant features to improve model performance and reduce complexity, often using techniques like correlation analysis, recursive feature elimination, or feature importance from models. 4. Data Transformation: Scaling, normalizing, and encoding features to ensure they are in the appropriate format for machine learning algorithms. 5. Domain Expertise: Applying knowledge of the specific domain to engineer features that capture relevant patterns and insights. 6. Iterative Improvement: Continuously refining features based on model performance and feedback from cross-validation or real-world testing. 7. Collaboration: Working closely with data scientists, machine learning engineers, and domain experts to understand the problem and the impact of different features on the models performance.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal. com.
To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ . Azure Dev Ops and CICD experience Experience on Teradata/any RDBMS Role focuses on Feature Engineering/Data Transformation for downstream analytical processes Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption. Partner with ML engineers and data scientists working globally regarding data pipelines and data versioning and create scalable model ready data. 4+ years experience Skills - Python, PySpark, Data Bricks, Azure platform, ADF, Datalake, Blob , Hive Must be able to design a solution based on the requirements Must have strong SQL writing experience Must be good at data analysis and profiling ETL Experience is good to have Must be able to work independently and prioritize work across multiple projects
1. Data Cleaning and Preprocessing: Preparing raw data by handling missing values, outliers, and inconsistencies. 2. Feature Creation: Generating new features from existing data through domain knowledge, mathematical transformations, and statistical techniques. 3. Feature Selection: Identifying the most relevant features to improve model performance and reduce complexity, often using techniques like correlation analysis, recursive feature elimination, or feature importance from models. 4. Data Transformation: Scaling, normalizing, and encoding features to ensure they are in the appropriate format for machine learning algorithms. 5. Domain Expertise: Applying knowledge of the specific domain to engineer features that capture relevant patterns and insights. 6. Iterative Improvement: Continuously refining features based on model performance and feedback from cross-validation or real-world testing. 7. Collaboration: Working closely with data scientists, machine learning engineers, and domain experts to understand the problem and the impact of different features on the models performance.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal. com.
To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ . Azure Dev Ops and CICD experience Experience on Teradata/any RDBMS Role focuses on Feature Engineering/Data Transformation for downstream analytical processes Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption. Partner with ML engineers and data scientists working globally regarding data pipelines and data versioning and create scalable model ready data. 4+ years experience Skills - Python, PySpark, Data Bricks, Azure platform, ADF, Datalake, Blob , Hive Must be able to design a solution based on the requirements Must have strong SQL writing experience Must be good at data analysis and profiling ETL Experience is good to have Must be able to work independently and prioritize work across multiple projects