Data Scientist: Drive ML Solutions & Business Insights

Synergy Business Consulting, Inc.; Saint Paul (MN); On-site; USD 90,000 - 135,000; Full time

Job summary

Synergy Business Consulting, Inc. is seeking Data Scientists at multiple experience levels to advance analytics, machine learning, and data-driven initiatives.

Roles include leading projects from problem definition to deployment and monitoring, or contributing to defined analytics initiatives with strong technical foundations and business curiosity. Ideal candidates will have experience in Python or R, SQL, and data visualization, plus collaboration with stakeholders to translate business

Qualifications

• Proficiency in Python or R and SQL.
• Experience with data preparation, EDA, modeling, and visualization.
• Strong analytical and problem-solving skills.

Responsibilities

• Clean, preprocess, and analyze structured and unstructured datasets.
• Perform exploratory data analysis (EDA) to identify trends, patterns, and business insights.
• Build, validate, and optimize statistical and machine learning models.
• Develop reproducible analytics workflows using Python or R.
• Use SQL to query, manipulate, and analyze data.
• Create dashboards and visualizations to communicate findings.
• Collaborate with technical and business stakeholders to translate problems into analytics.
• Support or lead model deployment, validation, testing, and monitoring.
• Work with engineering teams to productionize analytics and ML solutions.
• Maintain clear technical documentation and version-controlled code.
• Learn new subject areas and adapt to changing project requirements.

Skills

Python or R

SQL

Git/version control

Data visualization

Education

Bachelor’s or Master’s degree in Data Science, Statistics, CS, Engineering, Math, or related field

Tools

Python

R

SQL

Git

Job description

Synergy Business Consulting, Inc. is seeking Data Scientists at multiple experience levels to advance analytics, machine learning, and data-driven initiatives.

Roles include leading projects from problem definition to deployment and monitoring, or contributing to defined analytics initiatives with strong technical foundations and business curiosity. Ideal candidates will have experience in Python or R, SQL, and data visualization, plus collaboration with stakeholders to translate business