Mindsprint · 4 hours ago
Data Scientist
Greater Milwaukee
Contract
Onsite
Mid, Senior Level
3+ years expMindsprint is seeking a highly skilled Data Scientist with strong experience in cloud-based data science and AI solutions. The ideal candidate will design, build, and deploy data-driven solutions leveraging large-scale datasets and machine learning models to drive business insights and automation.
Cyber SecurityInformation ServicesInformation Technology
Responsibilities
Develop, validate, and deploy machine learning and statistical models for prediction, classification, recommendation, and optimization
Perform exploratory data analysis (EDA) on structured and unstructured data to identify trends, patterns, and anomalies
Design and maintain end-to-end data science pipelines, from data ingestion and feature engineering to model deployment and monitoring
Communicate insights and model results to technical and non-technical stakeholders using data visualizations and clear narratives
Design and integrate Microsoft Copilot–based solutions to enhance productivity, decision-making, and automation
Develop prompt engineering strategies, retrieval-augmented generation (RAG) workflows, and custom Copilot extensions
Leverage Azure OpenAI, Microsoft Fabric, Power Platform, and Copilot Studio to build enterprise-grade AI applications
Ensure responsible AI practices, including model explainability, bias mitigation, and data privacy
Build and deploy models using cloud-native services such as: Azure: Azure ML, Synapse Analytics, Data Factory, Fabric; AWS: SageMaker, Glue, Athena, Redshift, Lambda
Implement MLOps best practices, including CI/CD for models, versioning, automated retraining, and performance monitoring
Optimize model performance, scalability, and cost in cloud environments
Partner with data engineers to define data architecture and pipelines
Work with product managers and business leaders to translate requirements into analytical solutions
Mentor junior data scientists and contribute to data science standards and best practices
Qualification
Required
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
3–7+ years of experience in data science, machine learning, or applied analytics
Strong proficiency in Python (NumPy, Pandas, Scikit-learn) and/or R
Experience with SQL and working with large-scale datasets
Hands-on experience with Microsoft Copilot/ Azure AI services, or AWS ML/analytics tools
Solid understanding of machine learning algorithms, statistical modeling, and data validation techniques
Experience deploying models in production cloud environments
Preferred
Experience with generative AI, LLMs, and prompt engineering
Familiarity with Azure OpenAI Service or AWS Bedrock
Knowledge of Power BI, Tableau, or other data visualization tools
Experience with Docker, Kubernetes, or serverless architectures
Understanding of data governance, security, and compliance in cloud platforms
Certifications such as Azure Data Scientist Associate, AWS Certified Machine Learning – Specialty, or similar
Company
Mindsprint
Mindsprint provides digital transformation services, enterprise transformation services, and business process services.
1001-5000 employees
H1B Sponsorship
Mindsprint has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (25)
2024 (16)
Funding
Current Stage
Late StageLeadership Team
Nitesh Mirchandani
Chief Business Officer
Recent News
2025-10-17
2025-08-27
Company data provided by crunchbase