Über
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:
35-46
Oxford 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 oxfordbenefitsgroup@oxfordcorp.com . We will make a determination on your request for reasonable accommodation on a case-by-case basis.
Sprachkenntnisse
- English
Hinweis für Nutzer
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