| Data Scientist at Minneapolis, Minnesota, USA |
| Email: [email protected] |
| From: Ben, Heliogic LLC [email protected] Reply to: [email protected] Role: Data Scientist Location: Minneapolis, MN -Its a 3 days work from office (Minneapolis, MN) Responsibilities: The data science engineer will be a critical part of a small team tasked with advanced analytics related to sustainable agriculture and large-scale crop operations. In this role, you will: Provide technical expertise to a team strong in agronomic sciences Leverage statistical analysis and machine learning to support informed, data-driven decision making Incrementally improve a data science framework over time leveraging sound software engineering principals, automation, and best practices in Play a leading technical role on the team spanning the entire data science lifecycle Collaborate and communicate effectively across business functions to support data science initiatives Innovate, explore, and practice the art of the possible to uncover valuable data science opportunities and bring them to fruition Requirements: Bachelors degree in data science, computer science, or related technical field Experience with supervised and unsupervised learning techniques as well as classification, regression, and anomaly detection problems Broad understanding of machine learning including model training, hyperparameter tuning, optimization, performance evaluation, inference, model interpretability, and GPU acceleration Experience scaling and optimizing data workloads on distributed systems Experience working with big data file formats such as Parquet, Avro, and Iceberg Proven ability to perform development at all stages in the data science lifecycle Foundational understanding of software engineering, algorithms, and data structures History of continuous learning and incorporation of open data and software to solve problems A passion for software, data, and AI Preferred qualifications: Masters degree in data science or related technical field Experience processing geospatial datasets and file formats Experience working with time series data and sequence processing Experience collaborating on cross-functional agile teams and presenting to key stakeholders Foundational understanding of computer vision, NLP, and generative AI Ability to interpret results, visualize output, and communicate data narratives to stakeholders Working knowledge of regenerative agriculture, crop operations, and soil, plant, or climate sciences Keywords: artificial intelligence information technology Minnesota Data Scientist [email protected] |
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| Fri Aug 09 02:15:00 UTC 2024 |