Data Scientist

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Trusted by Talent. Preferred by Employers. Proudly Women-Owned --- Connecting Chicago and Beyond.

Our client is seeking a Data Scientist to join a growing analytics team focused on driving data-informed decisions across merchandising, marketing, supply chain, and customer experience. This role partners closely with business stakeholders to translate complex questions into actionable insights, build scalable data solutions, and deploy models that directly impact consumer behavior and operational performance.

The ideal candidate combines strong technical skills with a business-first mindset and thrives in environments where analytics influence real-world outcomes.

• Translate business problems into analytical frameworks and data-driven solutions
• Source, clean, and transform large datasets from multiple internal and external systems
• Develop, validate, and deploy predictive and descriptive models that support retail use cases such as demand forecasting, customer segmentation, pricing, promotions, and marketing effectiveness
• Build and maintain production-ready data pipelines and models in a cloud-based environment
• Create clear, compelling dashboards and visualizations to communicate insights to non-technical stakeholders and executives
• Collaborate cross-functionally with marketing, merchandising, operations, and IT teams to ensure solutions are adopted and deliver measurable business value
• Continuously evaluate emerging techniques (e.g., machine learning, generative AI) to enhance analytics capabilities

• Bachelor’s degree in Data Science, Analytics, Mathematics, Statistics, Computer Science, or a related field (Master’s preferred)
• 3+ years of experience in data science, analytics, or a related role
• Strong proficiency in Python for data analysis, modeling, and automation
• Experience with SQL and working with large relational and cloud-based data warehouses
• Hands‑on experience with machine learning techniques (regression, classification, clustering, time series, etc.)
• Experience building dashboards and visualizations using tools such as Power BI, Tableau, or similar platforms
• Strong communication skills with the ability to explain technical concepts to business audiences

• Familiarity with cloud platforms such as Azure, AWS, or GCP, including tools like Databricks or Snowflake
• Experience with big data tools (e.g., PySpark)
• Exposure to marketing analytics, customer behavior analysis, or campaign measurement

MMD Services Inc. is an equal opportunity employer. All applicants are considered for all positions without regard to race, religion, color, sex, gender, sexual orientation, pregnancy, age, national origin, ancestry, physical/mental disability, medical condition, military/veteran status, genetic information, marital status, ethnicity, alienage or any other protected classification, in accordance with applicable federal, state, and local laws.

Mid-Senior level

Full-time

Engineering and Information Technology

Retail and Banking