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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
Requirements: 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
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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
Requirements: 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
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