Data Scientist ML Engineer

*Only W2 Profiles*Data ScientistRemote position.Measurement Framework Developer Data Scientist (Statistical & Causal Inference)**Candidates should be in EST or CST time zones About the Role: We are looking for a Data Scientist with strong expertise in statistical inference and causal analysis to develop measurement frameworks for enterprise solutions. This role is ideal for someone passionate about designing experiments, applying causal inference methods, and building scalable frameworks to me

Requirements: SQL Python Core data analysis Data Engineering - pipeline builds and curation of datasets for data science use cases Campaign development experience (customer segmentation, personalization, targeting) MLOps - model deployment Strong communication and presentation skills Google Cloud Platform preferred (BigQuery, Dataproc), AWS/Azure acceptable

Duration: 10 Months Contract Job Description: Collaborate with stakeholders to analyze business problems, define objectives and constraints, and deploy scalable, sustainable solutions.Design and implement complex simulation and optimization models (using Java/Python) for real-world operating facilities and manufacturing sites, managing the lifecycle from proof-of-concept to production.Select and define development frameworks best suited to specific business requirements. Responsibilities: Perf

What We Expect From You Education & Experience: Ph.D. or M.S. (with 4+ years of experience) in Remote Sensing, Geospatial Science, Data Science, Agronomy, Imagery & Robotics, or related fields.Imagery & Remote Sensing Expertise: Hands-on experience working with remote sensing datasets. Strong knowledge of image processing techniques (e.g., atmospheric correction, orthorectification, segmentation, and feature extraction). Experience with geospatial tools (e.g., GDAL, Rasterio, GeoPandas) and work