Chelsoft Solutions
Required Skills : Must have Databricks experience
Education
Bachelors degree (Masters preferred) in a quantitative field such as Econometrics, Statistics, Marketing Science, Business Analytics, Quantitative Marketing, Applied Mathematics, or a related discipline. Masters degree or higher in any of the above fields, or equivalent professional experience demonstrating advanced technical and business analytics skills.
Experience
6+ years of hands-on experience in customer analytics, segmentation, or predictive modeling within a commercial, marketing, or customer-focused environment. Proven track record of delivering analytics that drive business decisions and measurable outcomes.
Technical Skills
Advanced proficiency in Python (pandas, scikit-learn, PySpark, SQL functions) and experience with Spark for large-scale data processing. Demonstrated experience with clustering, propensity modeling, uplift modeling, and customer value analysis. Strong background in feature engineering, data enrichment, and data quality management. Experience with MLOps tools and practices (e.g., MLflow, Kubeflow, Airflow, Docker, Kubernetes) for model deployment, monitoring, and lifecycle management. Proficiency with version control (Git) and CI/CD pipelines for automating analytics workflows. Experience deploying models and analytics solutions to cloud platforms (Azure, AWS, GCP) and monitoring their performance in production.
Business & Communication Skills
Ability to translate complex analytics into clear, actionable insights for commercial and marketing stakeholders. Experience working cross-functionally with business teams to identify needs, deliver solutions, and drive adoption. Excellent written and verbal communication skills, including documentation and training for non-technical users. Strong problem-solving skills, business curiosity, and a results-driven mindset.
Preferred Qualifications
Experience in commercial analytics, marketing analytics, or customer analytics roles within agriculture, retail, CPG, or other B2B industries with complex customer relationships. Familiarity with causal inference in observational studies, next-best-action modeling, and customer journey analytics. Experience building self-service analytics tools or utilities for business teams. Knowledge of data governance best practices and experience supporting data-driven business transformation. Knowledge of MLOps best practices for deploying and managing production models, including monitoring, versioning, and automation. Experience with containerization (Docker, Kubernetes) and orchestration tools for scalable analytics operations. Experience participating in code reviews and collaborative development processes. Familiarity with building automated pipelines for model training, deployment, and monitoring. Proficiency with PySpark for large-scale data processing. Seniority level
Seniority level
Mid-Senior level Employment type
Employment type
Contract Job function
Job function
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Education
Bachelors degree (Masters preferred) in a quantitative field such as Econometrics, Statistics, Marketing Science, Business Analytics, Quantitative Marketing, Applied Mathematics, or a related discipline. Masters degree or higher in any of the above fields, or equivalent professional experience demonstrating advanced technical and business analytics skills.
Experience
6+ years of hands-on experience in customer analytics, segmentation, or predictive modeling within a commercial, marketing, or customer-focused environment. Proven track record of delivering analytics that drive business decisions and measurable outcomes.
Technical Skills
Advanced proficiency in Python (pandas, scikit-learn, PySpark, SQL functions) and experience with Spark for large-scale data processing. Demonstrated experience with clustering, propensity modeling, uplift modeling, and customer value analysis. Strong background in feature engineering, data enrichment, and data quality management. Experience with MLOps tools and practices (e.g., MLflow, Kubeflow, Airflow, Docker, Kubernetes) for model deployment, monitoring, and lifecycle management. Proficiency with version control (Git) and CI/CD pipelines for automating analytics workflows. Experience deploying models and analytics solutions to cloud platforms (Azure, AWS, GCP) and monitoring their performance in production.
Business & Communication Skills
Ability to translate complex analytics into clear, actionable insights for commercial and marketing stakeholders. Experience working cross-functionally with business teams to identify needs, deliver solutions, and drive adoption. Excellent written and verbal communication skills, including documentation and training for non-technical users. Strong problem-solving skills, business curiosity, and a results-driven mindset.
Preferred Qualifications
Experience in commercial analytics, marketing analytics, or customer analytics roles within agriculture, retail, CPG, or other B2B industries with complex customer relationships. Familiarity with causal inference in observational studies, next-best-action modeling, and customer journey analytics. Experience building self-service analytics tools or utilities for business teams. Knowledge of data governance best practices and experience supporting data-driven business transformation. Knowledge of MLOps best practices for deploying and managing production models, including monitoring, versioning, and automation. Experience with containerization (Docker, Kubernetes) and orchestration tools for scalable analytics operations. Experience participating in code reviews and collaborative development processes. Familiarity with building automated pipelines for model training, deployment, and monitoring. Proficiency with PySpark for large-scale data processing. Seniority level
Seniority level
Mid-Senior level Employment type
Employment type
Contract Job function
Job function
Engineering and Information Technology Industries
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Des Moines, IA $60,000.00-$75,000.00 1 week ago Software Engineering Specialist - Human Data
Des Moines Metropolitan Area $55.00-$65.00 1 month ago Software Engineer 1 - Corporate Applications
Des Moines, IA $120,000.00-$130,000.00 2 days ago Robotics Software Engineer 2 (Mid-Level)
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Des Moines, IA $75,000.00-$110,000.00 14 hours ago Mechanical Commissioning Engineer (Data Centers)
Des Moines, IA $72,800.00-$85,500.00 3 days ago West Des Moines, IA $45,000.00-$60,000.00 2 weeks ago ServiceNow Developer with Azure - F2F interview Must - Hybrid, West Dea Moines, IA - W2 only
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Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr