Senior Data Scientist — ML, Data Pipelines & Insight

Oxford Global Resources; Milwaukee (WI); On-site; USD 29,000 - 39,000; Full time

Benefits offered by this job

401(k) Retirement Savings Plan

Supplemental medical, dental, vision,

Life and disability insurance

Paid holidays & sick leave

Job summary

Oxford Global Resources seeks a senior data scientist to analyze large data sets and build predictive models that drive business decisions. You will create data pipelines for collection, cleaning, and transformation, and develop ML algorithms to improve operational efficiency.

You will collaborate with cross-functional teams to validate hypotheses, design dashboards, and communicate findings to technical and non-technical stakeholders, while ensuring data privacy and governance.

Qualifications

• 5+ years of experience in data science, analytics, or related field.
• Proficiency in Python or R and data manipulation libraries (Pandas/NumPy).
• Strong SQL skills with relational and non-relational databases.
• Experience with data visualization tools (Tableau/Power BI).
• Familiarity with cloud platforms (AWS/Azure/GCP) and big data tech (Spark/Hadoop).
• Excellent communication to present complex data insights and work with cross-functional teams.

Responsibilities

• Analyze large volumes of structured and unstructured data to uncover patterns and insights.
• Develop predictive models and ML algorithms to solve business problems and improve operations.
• Design data pipelines for collection, cleaning, transformation, and storage.

Skills

Python

R

SQL

Spark

Tableau

Power BI

Tools

Pandas

NumPy

Job description

Oxford Global Resources seeks a senior data scientist to analyze large data sets and build predictive models that drive business decisions. You will create data pipelines for collection, cleaning, and transformation, and develop ML algorithms to improve operational efficiency.

You will collaborate with cross-functional teams to validate hypotheses, design dashboards, and communicate findings to technical and non-technical stakeholders, while ensuring data privacy and governance.