Associate Data Scientist - AI Analytics Dashboards (Hybrid)

OCLC; Dublin (OH); Hybrid; USD 85,000 - 115,000; Full time

Job summary

OCLC is seeking an Associate Data Scientist in Dublin, OH, with a hybrid on-site schedule. You will work with stakeholders to identify data-driven opportunities, translate problems into technical solutions, and develop models, dashboards, and KPIs using internal datasets.

You will maintain the data platform with quality data, perform exploratory analysis, and collaborate with data scientists while embracing DataOps practices and best coding standards.

Qualifications

• Bachelor’s in a quantitative field; Master’s preferred for advanced roles.
• 2+ years in data science or 1+ year with Master’s as described.
• Proficient in SQL for data warehouses and Python for data analysis.

Responsibilities

• Maintain data platform with up-to-date, quality data.
• Translate business problems to technical requirements and prototype reports.
• Build and maintain data models, dashboards, and KPI metrics.
• Write performant code following internal style and standards.
• Perform exploratory data analysis for QA, reporting, and ML model development.
• Apply DataOps principles and maintain data resources documentation.
• Collaborate with data scientists to improve efficiency.

Skills

Data storytelling

Experiment design

Collaboration in agile teams

Education

Bachelor’s in a quantitative field

Master’s degree in a quantitative field

Tools

SQL

Python (pandas/numpy; scikit-learn)

Data visualization (matplotlib/seaborn/plotly)

Git

Job description

OCLC is seeking an Associate Data Scientist in Dublin, OH, with a hybrid on-site schedule. You will work with stakeholders to identify data-driven opportunities, translate problems into technical solutions, and develop models, dashboards, and KPIs using internal datasets.

You will maintain the data platform with quality data, perform exploratory analysis, and collaborate with data scientists while embracing DataOps practices and best coding standards.