Overview
Hybrid
$60 - $70
Contract - Independent
Contract - W2
Contract - 12 Month(s)
Skills
Acceptance Testing
Agile
Amazon S3
Amazon SageMaker
Amazon Web Services
Analytical Skill
Analytics
ArcGIS
Business Process
Collaboration
Communication
Conflict Resolution
Confluence
Data Analysis
Data Mining
Data Modeling
Data Quality
Data Science
Database
Decision-making
Deep Learning
DevOps
Generative Artificial Intelligence (AI)
Geographic Information System
Geospatial Analysis
Git
JIRA
Java
Knowledge Sharing
MongoDB
NumPy
Office Administration
OpenCV
Pandas
PostgreSQL
Problem Solving
PyCharm
PyTorch
Python
QGIS
SQL
Scripting
Snow Flake Schema
Sprint
Stakeholder Engagement
Technical Analysis
Technical Writing
TensorFlow
scikit-learn
Job Details
Hybrid 4 days at the Houston, TX office, Friday work from home.
The client is looking more for a Technical Analyst and not Data Scientist
Duties and Responsibilities:
- Analyze business processes and translate requirements into technical/analytical specifications.
- Design and develop scripts, APIs, and automation tools to support advanced technical analysis.
- Build and maintain data pipelines in support of data analytics.
- Collaborate with stakeholders and data scientists to define problems, document solutions, and support implementation.
- Develop/improve reports and visualizations as needed to communicate insights and metrics.
- Ensure data quality and reliability in support of analytics and insights.
- Support Agile development processes including sprint planning, backlog grooming, and UAT.
- Prepare technical documentation and contribute to knowledge sharing across teams.
- Apply geospatial analysis techniques and tools to support location-based decision-making.
Qualifications:
- Bachelor s or Master s degree in computer science, Data Science, or related field.
- 3 5 years of experience in a hybrid technical/business analyst role.
Technical Skills Required:
- Programming & Scripting: Python, Java, SQL, R
- Databases & Analytics: Snowflake, PostgreSQL, MongoDB, DataStax/Astra DB, Data modeling, ETL
- Cloud & DevOps: AWS (S3, SageMaker),
- Tools & Frameworks: Git, Jira, Confluence, PyCharm, Notebooks
- Machine Learning and Deep Learning: Pandas, NumPy, Scikit-Learn, OpenCV, PyTorch, Tensorflow, OpenCV
- GenAI/LLMs: Hands-on experience with generative AI tools and frameworks
- Geospatial Tools: Experience with GIS platforms such as ArcGIS, QGIS, CARTO or geospatial libraries in Python
Knowledge, Skills and Abilities:
- Strong analytical and problem-solving skills.
- Ability to work with large-scale datasets and perform advanced data mining.
- Excellent communication and stakeholder engagement skills.
- Self-driven, collaborative, and customer-focused mindset.
- Experience in Agile environments and cross-functional teams.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.