Insight Global
Job Description
We are seeking an exceptional Data Scientist Researcher to join our advanced analytics team. This role will focus on cutting-edge machine learning techniques with particular emphasis on dimension reduction, feature selection, and signal detection. Working within our Databricks environment, you will research, develop, and implement sophisticated algorithms that extract meaningful patterns from complex, high-dimensional data. The ideal candidate combines strong theoretical knowledge with practical implementation skills to solve challenging real-world problems.
Key Responsibilities
• Lead research initiatives focused on dimension reduction and feature selection methodologies
• Develop novel approaches for variable importance ranking and optimal feature subset identification
• Design and implement signal detection algorithms to identify patterns in noisy data
• Conduct experiments to evaluate and benchmark different feature selection techniques
• Create reproducible research workflows in Databricks using notebooks and ML pipelines
• Collaborate with cross-functional teams to translate research findings into production solutions
• Stay current with the latest academic research in dimension reduction and feature selection
• Author technical documentation, white papers, and potentially academic publications
• Mentor junior data scientists and share knowledge across the organization
• Present research findings to both technical and non-technical stakeholders
Technical Skills
• Programming Languages: Python (advanced), R, SQL
• ML/AI Frameworks: scikit-learn, PyTorch, TensorFlow, Keras
• Big Data Technologies: Apache Spark, Databricks, Delta Lake
• Dimension Reduction: PCA, t-SNE, UMAP, LDA, autoencoders
• Feature Selection: Recursive feature elimination, LASSO, tree-based methods, mutual information
• Signal Processing: Fourier analysis, wavelets, filtering techniques
• Statistical Analysis: Hypothesis testing, experimental design, Bayesian methods
• Version Control: Git, GitHub
• Visualization: Matplotlib, Seaborn, Plotly
Compensation:
$60/hr to $70/hr
Exact compensation may vary based on several factors, including skills, experience, and education.
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401K retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.
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/.
Skills and Requirements
• PhD or MS in Computer Science, Statistics, Applied Mathematics, or related quantitative field
• 5+ years of experience applying advanced ML/AI techniques to real-world problems
• Strong expertise in dimension reduction techniques (PCA, t-SNE, UMAP, autoencoders)
• Deep knowledge of feature selection methods (filter, wrapper, embedded approaches)
• Experience with signal processing and detection algorithms
• Proficiency in Python and its scientific computing ecosystem (NumPy, SciPy, scikit-learn)
• Hands-on experience with Databricks and Apache Spark for large-scale data processing
• Strong understanding of statistical concepts and experimental design
• Experience with deep learning frameworks (PyTorch, TensorFlow) • Published research in feature selection, dimension reduction, or related fields
• Experience with Databricks ML Flow for experiment tracking and model management
• Knowledge of information theory approaches to feature selection
• Familiarity with GPU acceleration for machine learning algorithms
• Experience with time series analysis and anomaly detection
• Understanding of distributed computing principles
• Knowledge of Bayesian methods for feature selection
• Experience with reinforcement learning techniques
• Familiarity with graph-based dimension reduction approaches
• Contributions to open-source ML/AI projects null
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 employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to 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 oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.
We are seeking an exceptional Data Scientist Researcher to join our advanced analytics team. This role will focus on cutting-edge machine learning techniques with particular emphasis on dimension reduction, feature selection, and signal detection. Working within our Databricks environment, you will research, develop, and implement sophisticated algorithms that extract meaningful patterns from complex, high-dimensional data. The ideal candidate combines strong theoretical knowledge with practical implementation skills to solve challenging real-world problems.
Key Responsibilities
• Lead research initiatives focused on dimension reduction and feature selection methodologies
• Develop novel approaches for variable importance ranking and optimal feature subset identification
• Design and implement signal detection algorithms to identify patterns in noisy data
• Conduct experiments to evaluate and benchmark different feature selection techniques
• Create reproducible research workflows in Databricks using notebooks and ML pipelines
• Collaborate with cross-functional teams to translate research findings into production solutions
• Stay current with the latest academic research in dimension reduction and feature selection
• Author technical documentation, white papers, and potentially academic publications
• Mentor junior data scientists and share knowledge across the organization
• Present research findings to both technical and non-technical stakeholders
Technical Skills
• Programming Languages: Python (advanced), R, SQL
• ML/AI Frameworks: scikit-learn, PyTorch, TensorFlow, Keras
• Big Data Technologies: Apache Spark, Databricks, Delta Lake
• Dimension Reduction: PCA, t-SNE, UMAP, LDA, autoencoders
• Feature Selection: Recursive feature elimination, LASSO, tree-based methods, mutual information
• Signal Processing: Fourier analysis, wavelets, filtering techniques
• Statistical Analysis: Hypothesis testing, experimental design, Bayesian methods
• Version Control: Git, GitHub
• Visualization: Matplotlib, Seaborn, Plotly
Compensation:
$60/hr to $70/hr
Exact compensation may vary based on several factors, including skills, experience, and education.
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401K retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.
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/.
Skills and Requirements
• PhD or MS in Computer Science, Statistics, Applied Mathematics, or related quantitative field
• 5+ years of experience applying advanced ML/AI techniques to real-world problems
• Strong expertise in dimension reduction techniques (PCA, t-SNE, UMAP, autoencoders)
• Deep knowledge of feature selection methods (filter, wrapper, embedded approaches)
• Experience with signal processing and detection algorithms
• Proficiency in Python and its scientific computing ecosystem (NumPy, SciPy, scikit-learn)
• Hands-on experience with Databricks and Apache Spark for large-scale data processing
• Strong understanding of statistical concepts and experimental design
• Experience with deep learning frameworks (PyTorch, TensorFlow) • Published research in feature selection, dimension reduction, or related fields
• Experience with Databricks ML Flow for experiment tracking and model management
• Knowledge of information theory approaches to feature selection
• Familiarity with GPU acceleration for machine learning algorithms
• Experience with time series analysis and anomaly detection
• Understanding of distributed computing principles
• Knowledge of Bayesian methods for feature selection
• Experience with reinforcement learning techniques
• Familiarity with graph-based dimension reduction approaches
• Contributions to open-source ML/AI projects null
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 employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to 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 oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.