Data Scientist

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

We are seeking Data Scientists at multiple experience levels to support analytics, machine learning, and data-driven initiatives. These roles are ideal for professionals who combine strong technical fundamentals with problem-solving skills, business curiosity, and the ability to turn data into actionable insights.

Depending on experience level, candidates may contribute to defined analytics initiatives or independently lead projects from problem definition through model deployment and monitoring.

Key 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 understand business problems and translate them into analytical solutions
• Support or lead model deployment, validation, testing, and monitoring
• Work with engineering teams to productionize analytics and machine learning solutions
• Maintain clear technical documentation and version-controlled code
• Quickly learn new subject areas and adapt to changing project requirements

Data Scientist I

Typically suited for candidates with 0–5 years of relevant experience, including internships.

Ideal candidates will bring:

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, or a related quantitative field
• Proficiency in Python or R
• Working knowledge of SQL
• Understanding of statistics and fundamental machine learning concepts
• Experience with data preparation, EDA, modeling, and visualization
• Familiarity with Git/version control
• Strong analytical and problem-solving skills
• Ability to communicate technical concepts clearly and eagerness to learn

Data Scientist II

Typically suited for candidates with 6–10 years of professional data science experience.

Ideal candidates will bring:

• Strong proficiency in Python or R
• Strong SQL skills and experience working with large-scale datasets
• Hands-on experience designing and developing predictive or prescriptive models
• Experience taking analytics or machine learning solutions from problem framing through production
• Experience deploying and monitoring models in production environments
• Strong understanding of statistical inference, machine learning algorithms, and experimental design
• Ability to independently drive projects and communicate recommendations to technical and non-technical stakeholders
• Experience mentoring junior data scientists or providing technical leadership

Preferred Qualifications

• Experience with AWS, Azure, or GCP
• Exposure to MLOps, CI/CD pipelines, or cloud-native data environments
• Experience working in regulated or data-sensitive industries
• Experience using AI-assisted development tools such as Claude Code, Codex, or similar platforms

We are looking for candidates who are technically strong, adaptable, and comfortable working across both data and business problems. Candidates will be considered based on their experience level, technical depth, and ability to contribute to production-oriented data science initiatives.