Senior Data Scientist

Strategic Staffing Solutions provided pay range

This range is provided by Strategic Staffing Solutions. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$60.00/hr - $80.00/hr

Duration: 12 months

Pay: $60-80/hr W2 ONLY, NO C2C

Customer Data Artificial Intelligence Solutions (CDAIS) combines customer, meter and customer service data to identify opportunities that reduce costs, increase revenue, and resolve process breakages ultimately improving customer experience for millions of customers across the eastern United States. We are seeking talented data and analytics professionals to join a dynamic, innovative team that plays a critical role in the success of the Customer organization.

You will leverage both technical and professional skills to deliver actionable insights and solutions that enhance customer experience and operational efficiency.

Key responsibilities include:

• Engagement Planning & Communication (15%): Plan epics, stories, and tasks for product development. Present complex ideas and collaborate with leadership and cross-functional teams.
• Tools:
  Microsoft Teams, Jira, PowerPoint, Outlook
• Extract, transform, and analyze data from multiple sources and APIs (SQL Server, Oracle, AWS). Identify trends, anomalies, and insights to support advanced analytics and continuous improvement.
• Tools: SQL, Python, AWS EMR, AWS Sage Maker, Jupyter Notebook, Spark
• Data Science Modeling (30%): Develop diagnostic and predictive models to inform strategic decisions. Techniques may include NLP, regression, machine learning, semantic analysis, simulation, and optimization.
• Tools:
  Python, AWS EMR, AWS Sage Maker, Jupyter Notebook, Spark
• Create impactful dashboards and visualizations to communicate trends and findings to leadership and teams.
• Tools:
  Power BI Premium, Jupyter Notebook

• Bachelor’s degree in Statistics, Mathematics, Engineering, Computer Science, or related field.
• 1–3 years of relevant experience.

• Experience with cloud-based analytics platforms (primarily AWS).
• Familiarity with customer service or utility operations.
• Advanced ML techniques and big data processing experience.

Mid-Senior level

Contract

Information Technology

Industries: IT Services and IT Consulting