Data Scientist - Insight Global : Job Details

Job Description

Insight Global is seeking a Data Science Consultant Customer Analytics to join a large agricultural client in the Midwest area. They will be responsible to drive actionable insights and advanced analytics for our agricultural retail and direct sales channels. In this pivotal role, youll enable targeted marketing, customer engagement, and data-driven commercial strategies through robust segmentation, predictive modeling, and campaign analytics. Youll also play a key role in deploying, automating, and maintaining production-grade analytics solutions using modern MLOps practices. This person will be compensated at an hourly rate starting at $50/HR.

We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, 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 Human Resources Request Form ( . The EEOC Know Your Rights Poster is available here ( .

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Skills and Requirements

Bachelors degree in a quantitative field such as Econometrics, Statistics, Marketing Science, Business Analytics, Quantitative Marketing, Applied Mathematics, or a related discipline.

3+ years of hands-on experience in customer analytics, segmentation, or predictive modeling within a commercial, marketing, or customer-focused environment.

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.

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.

Ability to translate complex analytics into clear, actionable insights for commercial and marketing stakeholders. Experience in commercial analytics, marketing analytics, or customer analytics roles within agriculture, retail, CPG, or other B2B industries with complex customer relationships.

Masters degree or higher in any of the above fields, or equivalent professional experience demonstrating advanced technical and business analytics skills. 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 [email protected].