Data Scientist - Mondo : Job Details

Apply now: Data Scientist, location is Onsite (Houston, TX). The start date is ASAP or two weeks from offer for this 7-month contract position with potential extension or conversion. Job Title: Data Scientist Location-Type: Onsite Houston, TX (Mon-Thurs onsite) Start Date Is: ASAP or two weeks from offer Duration: 7 months (Contract, potential extension and conversion) Compensation Range: $50.00/hr - $65.00/hr Job Description: Analyze business processes, develop advanced data models, and implement analytics solutions, including geospatial and AI-driven techniques, to support enterprise decision-making and strategic initiatives. Day-to-Day Responsibilities:

• Translate business requirements into technical and analytical specifications
• Develop scripts, APIs, and automation tools for advanced analysis
• Build and maintain data pipelines for analytics workflows
• Collaborate with stakeholders to define problems, document solutions, and support implementations
• Create and improve reports, dashboards, and data visualizations
• Ensure data quality, integrity, and reliability
• Apply geospatial analysis techniques for location-based decision-making
• Support Agile processes, including sprint planning and backlog grooming
• Prepare technical documentation and promote knowledge sharing across teams

• Must-Haves:
  • Bachelor's or Master's degree in Computer Science, Data Science, or related field
  • 3-5 years in a hybrid technical/business analyst role
  • Proficiency in Python, Java, SQL, R
  • Experience with databases and analytics tools: Snowflake, PostgreSQL, MongoDB, DataStax/Astra DB
  • Strong ETL, data modeling, and cloud experience (AWS S3, SageMaker)
  • Machine Learning/Deep Learning experience with Pandas, NumPy, Scikit-Learn, PyTorch, TensorFlow, OpenCV
  • Hands-on experience with generative AI tools and frameworks
  • Geospatial analysis skills with ArcGIS, QGIS, CARTO, or Python geospatial libraries
• Nice-to-Haves:
  • Experience with large-scale datasets and advanced data mining
  • Strong communication and stakeholder engagement abilities
  • Background in Agile development environments