Data Scientist

Oxford Global Resources; Salem (OR); On-site; USD 32,000 - 43,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Life and disability benefits

401(k) Retirement Savings Plan

Paid holidays

Paid sick leave

Accommodation support

Job summary

Oxford Global Resources is seeking a data science professional to analyze large data sets, build predictive models, and develop data pipelines. The role emphasizes delivering actionable insights through compelling dashboards for diverse stakeholders.

The ideal candidate has 5+ years of experience, strong Python or R skills, SQL proficiency, and experience with cloud platforms and big data technologies. GDPR and ethical AI awareness are required.

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, matplotlib/seaborn).
• Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies (Spark, Hadoop).
• Excellent communication and cross-functional collaboration skills.
• Knowledge of data governance, privacy regulations (GDPR), and ethical AI practices.

Responsibilities

• Analyze large volumes of structured and unstructured data to uncover patterns, trends, and actionable insights.
• Develop predictive models and machine learning algorithms to solve business problems.
• Design and implement data pipelines for data collection, cleaning, transformation, and storage.
• Create compelling data visualizations and dashboards for technical and non-technical stakeholders.
• Collaborate with cross-functional teams to define data requirements and validate hypotheses.
• Ensure data integrity, privacy, and regulatory compliance; maintain documentation of data sources and models.
• Stay current with industry trends and opportunities for innovation and optimization.

Skills

Python

R

pandas/NumPy

SQL

Tableau/Power BI

matplotlib/seaborn

Cloud platforms

Spark/Hadoop

communication

cross-functional teamwork

data governance

GDPR knowledge

Tools

Tableau

Power BI

Python

R

Job description

Project Details

Analyze large volumes of structured and unstructured data to uncover patterns, trends, and actionable insights that support business decision-making. Develop predictive models and machine learning algorithms to solve complex business problems and improve operational efficiency. Design and implement data pipelines for data collection, cleaning, transformation, and storage using modern data engineering tools. Create compelling data visualizations and dashboards to communicate findings to technical and non-technical stakeholders. Collaborate with cross-functional teams to define data requirements, validate hypotheses, and deliver data-driven solutions aligned with strategic goals. Ensure data integrity, privacy, and compliance with relevant regulations and industry standards. Maintain comprehensive documentation for data sources, modeling approaches, and analytical processes. Stay current with industry trends, emerging technologies, and best practices in data science and analytics. Proactively identify opportunities for innovation and optimization.

Job Experience

5+ years' experience in data science, analytics, or a related field with a strong understanding of statistical methods and machine learning techniques. Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., pandas, NumPy). Strong SQL skills and experience working with relational and non-relational databases. Experience with data visualization tools such as Tableau, Power BI, or matplotlib/seaborn. Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop). Excellent communication skills with the ability to present complex data insights clearly and effectively. Experience working in cross-functional teams and translating business needs into analytical solutions. Knowledge of data governance, privacy regulations (e.g., GDPR), and ethical AI practices.

Hourly Rate: 23-31Oxford is an Equal Employment Opportunity Employer. All qualified applications will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Oxford will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. Oxford provides supplemental medical (we do not offer major medical), dental, vision, life, and disability benefit plans along with a 401(k) Retirement Savings Plan. Paid holidays based on eligibility and paid sick leave for applicable jurisdiction, as required. Oxford is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. If you need special assistance or an accommodation while seeking employment, please email [e-mail]. We will make a determination on your request for reasonable accommodation on a case-by-case basis.