Data Scientist

Data Science Practitioner 6527496 Location: Minneapolis, Minnesota, United States Industry: Business Consulting and Services Work Setting: Hybrid Are you passionate about leveraging data, machine learning, and advanced analytics to solve complex business problems and drive meaningful business outcomes?

We are seeking a Data Scientist to apply statistical modeling, machine learning, and data-driven problem-solving techniques to large and complex datasets. This role combines advanced analytics, predictive modeling, experimentation, and stakeholder collaboration to uncover insights, improve decision-making, and deliver scalable solutions that support business transformation across multiple functional areas.

Key Responsibilities

• Data Science & Advanced Analytics Analyze large, complex, and diverse datasets to identify trends, patterns, opportunities, and risks.
• Apply statistical techniques and machine learning algorithms to solve challenging business problems.
• Develop data-driven recommendations that improve operational efficiency, business performance, and customer outcomes.
• Transform raw data into actionable insights that support strategic decision-making.
• Utilize advanced analytical methodologies to address both structured and unstructured data challenges.

Machine Learning & Predictive Modeling

Design, develop, validate, and deploy machine learning models for business applications. Build predictive models that support forecasting, optimization, classification, clustering, and risk assessment. Evaluate model performance and continuously improve model accuracy and effectiveness.

Implement scalable machine learning solutions that can operate within enterprise environments. Support the operationalization and monitoring of deployed models.

Data Engineering & Big Data Processing

Work with large-scale datasets using modern data processing frameworks and technologies. Develop efficient data preparation, transformation, and feature engineering pipelines. Leverage distributed processing platforms to manage and analyze high-volume data.

Ensure data quality, reliability, and accessibility for analytical initiatives. Collaborate on scalable data architecture and data platform solutions.

Business Problem Solving

Partner with stakeholders to understand business objectives and translate them into analytical solutions. Identify opportunities where data science can create measurable business value. Develop hypotheses, perform analyses, and present findings to support decision-making.

Use analytical insights to improve processes, performance, and strategic initiatives. Communicate technical findings in a clear and business-focused manner.

Cross-Functional Collaboration

Work closely with business teams, analysts, engineers, product managers, and technology stakeholders. Collaborate throughout the solution lifecycle from problem definition to deployment and monitoring. Support implementation of data-driven solutions across various business functions.

Contribute expertise during project planning, solution design, and delivery activities. Foster collaboration between technical and non-technical teams. Research, Innovation & Continuous Improvement Explore emerging technologies, tools, and methodologies in data science and artificial intelligence.

Evaluate new analytical techniques and recommend innovative approaches. Stay current with developments in machine learning, statistics, and advanced analytics. Continuously improve existing models, processes, and analytical frameworks.

Contribute to a culture of experimentation, learning, and innovation. Reporting & Data Storytelling Present analytical findings through reports, dashboards, visualizations, and presentations. Translate complex technical concepts into actionable business recommendations.

Develop clear narratives that help stakeholders understand analytical insights. Support executive decision-making through effective communication of data-driven findings.

Required Qualifications

High School Diploma, GED, or equivalent experience.

Minimum 2 years of experience in

• Data Science Data Mining Machine Learning Advanced Analytics Quantitative Research Related analytical disciplines Proficiency in one or more programming languages: Python R Scala Strong analytical and statistical problem-solving abilities.
• Experience working with large datasets and data analysis techniques.

Preferred Qualifications

Master's degree in: Data Science Statistics Mathematics Computer Science Economics Operations Research Related quantitative fields Experience deploying machine learning models in production environments. Experience working with cloud-based analytics platforms. Familiarity with distributed computing and big data technologies.

Experience supporting enterprise analytics and digital transformation initiatives. Preferred Skills Data Science & Analytics Data Science Statistical Analysis Data Mining

[[JD_HEADING:Predictive Modeling Machine Learning Feature Engineering Experimental]]

Design Programming & Development Python R Scala SQL Big Data & Distributed Computing Apache Spark Distributed Data Processing Big Data Analytics Data Pipelines Cloud & Modern Platforms AWS Microsoft Azure Google Cloud Platform (GCP) Cloud-Based Analytics Solutions Business & Communication Data Visualization Business Analytics Data Storytelling Problem Solving Stakeholder Management Strategic Thinking