Data Scientist

Ledgent Technology; Fort Snelling Unorganized Territory (MN, WI); On-site; USD 120,000 - 140,000; Full time

Job summary

A leading technology recruitment company seeks a Data Scientist to provide predictive analytics and insights for financial forecasting and supply chain performance. This full-time, onsite role in Minnesota requires expertise in Microsoft Fabric and Azure services, along with strong skills in data analysis, Python, and R. The ideal candidate has over 5 years of experience and holds at least a Bachelor's degree in a relevant field. The target salary is between $120,000 and $140,000 per year.

Qualifications

• 5+ years as a Data Scientist or similar role.
• Hands-on experience with Microsoft Fabric and Azure Synapse.
• Proficient in Python, R, SQL, and visualization tools.

Responsibilities

• Develop and deploy machine learning models for forecasting.
• Analyze large datasets to identify operational improvements.
• Collaborate with teams to translate challenges into solutions.

Skills

Machine Learning

Financial Modeling

Cost Allocation

Data Analysis

Python

SQL

R

Visualization Tools (Power BI, Tableau)

Education

Bachelor's degree

Master's in Computer Science or related field

Tools

Microsoft Fabric

Azure Synapse

Azure Machine Learning

Job description

This range is provided by Ledgent Technology. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$120,000.00/yr - $140,000.00/yr

Direct message the job poster from Ledgent Technology

We are seeking a Data Scientist to deliver predictive analytics and actionable insights that enhance financial forecasting and supply chain performance. This role will partner with business leaders and analysts to design models that inform strategic decisions. You will work primarily within Microsoft Fabric, leveraging Delta Lake/OneLake and Medallion Architecture (Bronze-Silver-Gold) to build scalable solutions and lay the groundwork for future AI-driven capabilities.

This is a full-time, direct hire role which will be onsite in Mendota Heights, MN. Local candidates only. Target salary is between $120,000-140,000.

Candidates must be eligible to work in the United States without sponsorship both now and in the future. No C2C or third parties.

Seniority level: Entry level.

Key Responsibilities

• Develop and deploy machine learning models for cost modeling, sales forecasting, and long-term work order projections.
• Analyze large, complex datasets to uncover trends, anomalies, and opportunities for operational improvement.
• Collaborate with finance, supply chain, and business teams to translate challenges into data-driven solutions.
• Work with engineering teams to create robust pipelines for data ingestion, transformation, and modeling using cloud-native tools.
• Utilize Azure services (Data Lake, Synapse, ML Studio) to operationalize models and manage workflows.
• Present insights through clear visualizations and executive-level presentations.
• Contribute to governance standards, audit trails, and model documentation.

Qualifications

Education & Certifications

• Bachelor's degree required; Master's in Computer Science, IT, or related field preferred.
• Cloud certifications (Azure or similar) are a plus.

Experience & Skills

• 5+ years as a Data Scientist or similar role.
• Hands‑on experience with Microsoft Fabric, Azure Synapse, and related cloud technologies.
• Proficiency in Python, R, SQL, and visualization tools (Power BI, Tableau).
• Strong background in financial modeling, cost allocation, and supply chain analytics.
• Familiarity with Oracle and Salesforce UI navigation is helpful.
• Excellent business acumen and ability to communicate complex concepts to senior leadership.
• Strong problem‑solving skills and ability to design scalable solutions.

Preferred

• Experience with Azure Machine Learning.
• Knowledge of Jitterbit is a plus.

All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, and Los Angeles County Fair Chance Ordinance. For unincorporated Los Angeles county, to the extent our customers require a background check for certain positions, the Company faces a significant risk to its business operations and business reputation unless a review of criminal history is conducted for those specific job positions.