Data Scientist

Oxford Global Resources
Salem, United States of America
14 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 137K

Job location

Salem, United States of America

Tech stack

Amazon Web Services (AWS)
Azure
Big Data
Cloud Computing
Data Governance
Data Integrity
Data Visualization
Database Queries
Hadoop
Python
Machine Learning
NumPy
Power BI
Software Tools
Tableau
Unstructured Data
Data Processing
Google Cloud Platform
Spark
Pandas
Matplotlib
Data Analytics
Non-relational Database
Data Pipelines

Job description

  • 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.

Requirements

  • 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.

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