This role is ideal for someone who will thrive working at the intersection of computational science, predictive modeling, and business consulting. The ideal candidate will excel at analysis, manipulation, and cleaning of data, building predictive and prescriptive models using a variety of theoretical and computational techniques, extract insights from models to help inform business decisions, and present results and recommendations to various business partners and leaders. Additionally, the ideal candidate will also possess the technical expertise to help transition models from development to production and deploy them efficiently.
Work closely with team members and business partners to identify and prioritize key questions and drive impactful data-based decisions.
Extract, manipulate, and clean data from diverse sources using SQL and Python, preparing it for detailed analysis and model development.
Develop and implement sophisticated predictive and prescriptive models using statistical and machine learning techniques. Ensure these models address key business challenges and deliver actionable insights.
Create clear, compelling data visualizations to effectively communicate findings to both technical and non-technical stakeholders.
Effectively and efficiently transition models from development to production within the organization's existing cloud ecosystem.
Participate actively in project planning and prioritization sessions to ensure data initiatives align with business goals.
Stay updated with the latest industry trends and tools and integrate this knowledge to improve methodologies and solutions.
Requirements:
Master's degree or higher in a relevant analytical field.
Hands-on experience building and optimizing data solutions using Python.
Experience solving problems using a variety of statistical and machine learning techniques.
Hands-on experience using statistical or machine learning frameworks to solve a variety of real-world problems (e.g., statsmodels, scikit-learn, PyTorch).
Knowledge of methods like Logistic Regression, Time Series Analysis, GLMs, Mixed Modeling, Multivariate Statistics, Predictive Modeling, Decision Trees, Gradient-Boosted Trees, Random Forests, and Neural Networks.
Proactive approach to identifying problems and developing innovative solutions.
Preferred Skills:
Experience with version control systems such as GitHub, and familiarity with CI/CD practices to streamline model deployment and code management.
Hands-on experience with cloud-based machine learning platforms (e.g., AWS SageMaker or Azure ML) to leverage scalable computing resources and tools.
Demonstrated ability to lead through influence, effectively navigating and prioritizing complex cross-departmental projects to drive impactful change.
Capability to replace and bridge existing legacy infrastructure and processes.
Intelliswift is committed to fair and equitable compensation practices. The range provided for this position is determined by various factors including, but not limited to, relevant work experience, skills, certifications, and location. Intelliswift offers medical insurance, dental insurance, vision insurance, supplemental life and AD&D insurance, and any other benefits per state law.
Equal Employment Opportunity Statement
Intelliswift celebrates a diverse and inclusive workforce. We offer equal employment opportunities to all applicants and employees. All qualified applicants will be considered regardless of race, color, sex, gender identity, gender expressions, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other protected basis under the law.
Americans with Disabilities Act (ADA)
If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact Intelliswift Human Resources Department
Other Employment Statements
Intelliswift participates in the E-Verify program.
Learn More
For information on Intelliswift Software, Inc., visit our website at www.intelliswift.com.