No Visa candidates, Looking for visa independent Associates. GC/USC only.
2 Candidate Submittal Slots, New High Level Policy
MSP Owner: Rob Finton
Location: NewYork, NY - Remote (once in few months, collaboration meetings scheduled, so associate required to attend for a day or two)
Duration: 6 months
skill id: 10810549
No Visa candidates, Looking for visa independent Associates. GC/USC only.
Competencies[RATE REDACTED]+ years experience required
Digital : Data Science
Digital : Python
Digital : Machine Learning
MySQL
No Visa candidates, Looking for visa independent Associates
Job Description - Data Scientist
Role Summary:
The Data Scientist will be responsible for applying statistical analysis, machine learning, and data mining techniques to solve business problems and generate actionable insights. The role focuses on structured data analytics, predictive modeling, and business decision support using traditional data science methods.
Key Responsibilities
• Perform data exploration, cleaning, and preprocessing on structured and semi-structured datasets
• Develop and implement statistical models and machine learning algorithms (regression, classification, clustering, time series)
• Conduct hypothesis testing and exploratory data analysis (EDA) to identify trends and patterns
• Build predictive and forecasting models to support business decisions
• Translate business requirements into analytical problems and modeling approaches
• Design and execute A/B testing and experimental analysis
• Create data visualizations and dashboards to communicate insights clearly
• Collaborate with business stakeholders to drive data-driven decision making
• Validate model accuracy, performance, and robustness using appropriate metrics
• Document methodologies, assumptions, and findings for auditability and reuse
Required Skills:
Programming & Tools
• Python (must-have)
• SQL for data extraction and manipulation
• Experience with Jupyter Notebook / similar environments
Statistical & Analytical Skills
• Strong foundation in:
o Probability and statistics
o Hypothesis testing
o Regression analysis
o Time series analysis
• Experience with classical ML techniques:
o Linear/Logistic Regression
o Decision Trees, Random Forest
o K-Means / clustering methods
Data Handling
• Data wrangling and feature engineering
• Experience working with datasets (NoSQL, RDBMS, data warehouses)
• Familiarity with data quality and validation techniques
Visualization & Reporting
• Tools such as Tableau / Power BI / Matplotlib / Seaborn
• Ability to present insights in business-friendly language
Preferred Skills
• Exposure to ETL processes and basic data engineering concepts
• Knowledge of optimization or operations research techniques, Project Code :
2 Candidate Submittal Slots, New High Level Policy
MSP Owner: Rob Finton
Location: NewYork, NY - Remote (once in few months, collaboration meetings scheduled, so associate required to attend for a day or two)
Duration: 6 months
skill id: 10810549
No Visa candidates, Looking for visa independent Associates. GC/USC only.
Competencies[RATE REDACTED]+ years experience required
Digital : Data Science
Digital : Python
Digital : Machine Learning
MySQL
No Visa candidates, Looking for visa independent Associates
Job Description - Data Scientist
Role Summary:
The Data Scientist will be responsible for applying statistical analysis, machine learning, and data mining techniques to solve business problems and generate actionable insights. The role focuses on structured data analytics, predictive modeling, and business decision support using traditional data science methods.
Key Responsibilities
• Perform data exploration, cleaning, and preprocessing on structured and semi-structured datasets
• Develop and implement statistical models and machine learning algorithms (regression, classification, clustering, time series)
• Conduct hypothesis testing and exploratory data analysis (EDA) to identify trends and patterns
• Build predictive and forecasting models to support business decisions
• Translate business requirements into analytical problems and modeling approaches
• Design and execute A/B testing and experimental analysis
• Create data visualizations and dashboards to communicate insights clearly
• Collaborate with business stakeholders to drive data-driven decision making
• Validate model accuracy, performance, and robustness using appropriate metrics
• Document methodologies, assumptions, and findings for auditability and reuse
Required Skills:
Programming & Tools
• Python (must-have)
• SQL for data extraction and manipulation
• Experience with Jupyter Notebook / similar environments
Statistical & Analytical Skills
• Strong foundation in:
o Probability and statistics
o Hypothesis testing
o Regression analysis
o Time series analysis
• Experience with classical ML techniques:
o Linear/Logistic Regression
o Decision Trees, Random Forest
o K-Means / clustering methods
Data Handling
• Data wrangling and feature engineering
• Experience working with datasets (NoSQL, RDBMS, data warehouses)
• Familiarity with data quality and validation techniques
Visualization & Reporting
• Tools such as Tableau / Power BI / Matplotlib / Seaborn
• Ability to present insights in business-friendly language
Preferred Skills
• Exposure to ETL processes and basic data engineering concepts
• Knowledge of optimization or operations research techniques, Project Code :