Senior Data Scientist

Overview

On Site
Depends on Experience
Contract - W2
Contract - Independent
Contract - 12 Month(s)

Skills

Data Science
Microsoft Power BI
Python
Palantir
Data Scientist
Data Mining
Data Analysis
Data Modeling
Machine Learning (ML)
SQL

Job Details

Role: Senior Data Scientist

Location: OH

Skills: Data Science, Microsoft Power BI, Python, Palantir

Job Summary
The Senior Data Scientist will be responsible for analyzing complex data sets, developing custom models and algorithms to drive business solutions, and creating visualizations using Power BI. The role will involve collaborating with cross functional teams to identify opportunities for leveraging company data to drive business solutions.

Skill Requirements
1. Strong proficiency in data science techniques and tools such as machine learning, statistical modeling, and data mining.
2. Proficiency in power bi for data visualization and reporting.
3. Advanced programming skills in python for data analysis and model development.
4. Solid understanding of database management and sql for data querying and manipulation.
5. Excellent communication and presentation skills to effectively convey complex findings and insights to nontechnical stakeholders.
6. Strong problem-solving and analytical skills to tackle complex data challenges efficiently.

Certifications: Relevant certifications in data science, Power BI, and Python are a plus.

Day-to-Day Responsibilities Workload:
Solution Design and Development:
- Understanding business requirements, defining data requirements, identifying enterprise data sources, planning, designing, and building data acquisition from sources, defining data model and taxonomy, designing data ingestion pipelines, data normalization, data transformation, and consumption using Palantir.
- Connect diverse data sources to develop and maintain data ingestion and consumption pipelines within Palantir, deriving data insights using platform capabilities toward operational of analytics and data science use cases.
- Develop data insights, data mining, and support for AIML use cases training and deployment
- Develop design artifacts to describe technical components of solutions for long-term maintenance and support
- Participation in sprint planning to provide estimates for assigned work
- Support of End-to-End testing with client Systems interfacing with solutions in Palantir platform
Operations and Troubleshooting:
- Maintain and operate Palantir-based systems, ensuring high availability, performance, and reliability.
- Proactively monitor and resolve issues, optimizing system performance and workflows.
- Drive incident management processes, including root cause analysis and long-term resolution strategies.
Collaboration and Stakeholder Engagement:
- Work closely with business teams, data scientists, and analysts to understand requirements and deliver actionable insights.
- Communicate effectively with stakeholders to align on goals, priorities, and timelines.
- Partner with Palantir and other technology providers for support and integration.
Innovation and Continuous Improvement:
- Stay updated on the latest Palantir platform capabilities and industry best practices.
- Identify automation, optimization, and innovation opportunities within the platform and workflows.
- Provide thought leadership and contribute to the broader data strategy.

Data Analytics and Visualization:
- Hands-on experience in creating dashboards, reports, and other data visualizations using Palantir in-built tools such as Contour and Quiver
- Experience using Palantir analytical functions to conduct complex data analysis, including statistical and predictive modeling.
Collaboration and Workflow Automation:
- Familiarity with Palantir collaboration features to work with cross


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