Job Specifications
Payrate: $59.33 - $59.33/hr.
Summary:
As a Data Scientist for Company’s Intelligent Services Group (ISG), you will join a team leveraging petabyte-scale datasets for advanced analytics and model building to enable intelligent, automated equipment and improved decisions by farmers. Our team partners with product managers and data engineers to design, scale, and deliver full stack data science solutions. Join a passionate team making a difference by applying innovative technology to solve some of the world's biggest problems.
Responsibilities:
Communicate with impact your findings and methodologies to stakeholders with a variety of backgrounds.
Work with high resolution machine and agronomic data in the development and testing of predictive models.
Develop and deliver production-ready machine learning approaches to yield insights and recommendations from precision agriculture data.
Define, quantify, and analyze Key Performance Indicators that define successful customer outcomes.
Work closely with the Data Engineering teams to ensure data is stored efficiently and can support the required analytics.
Relevant skills include:
Demonstrated competency in developing production-ready models in an Object-Oriented Prog language such as Python.
Demonstrated competency using data-access and processing technologies such as SQL, Spark, and Databricks to query, transform, and analyze large-scale datasets efficiently.
Experience creating clear, actionable visualizations using tools such as Tableau, Kepler.gl, and QGIS (dashboards, interactive maps, and spatial analysis outputs).
Experience with Data Modeling techniques such as Normalization, data quality and coverage assessment, attribute analysis, performance management, etc.
Experience building machine learning models such as Regression, supervised learning, unsupervised learning, probabilistic inference, natural language modeling, etc.
Excellent communication skills. Able to effectively lead meetings, to document work for reproduction, to write persuasively, to communicate proof-of-concepts, and to effectively take notes.
Experience with model validation, measuring model bias, measuring model drift, etc.
Skills:
Experience with Geospatial data search and analysis, geo-indexing techniques, vector and raster data structures.
Experience with remote sensing, GIS tools, and satellite imagery analysis.
Hands-on experience building, using, and deploying computer vision models (object detection + segmentation), including using Segment Anything (SAM) for promptable/automatic segmentation
Hands-on experience building and deploying advanced AI solutions (agentic systems/tool use, RAG with vector databases, foundation model adaptation/fine-tuning, and production-grade AI deployments with evaluation, monitoring, and governance).
Examples of professional work such as publications, patents, a portfolio of relevant project-work, etc.
Experienced with a variety of data structures such as time-series, geo-tagged, text, structured, and unstructured.
Additional experience with other languages such as Java, JavaScript, Scala, etc.
Experience with simulations such as Monte Carlo simulation, Gibbs sampling, etc.
Experience collaborating with stakeholders from disciplines such as Product, Sales, Finance, etc.
Ability to communicate complex analytical insights in a manner which is clearly understandable by nontechnical audiences.
Education:
Preference for MS or PHD level candidates.
Pay Transparency: The typical base pay for this role across the U.S. is: $59.33 - $59.33/hr. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience and the benefits package you select. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, 10 paid days off, 401(k) plan participation, commuter benefits and life and disability insurance.
Consent to Communication and Use of AI Technology: By submitting your application for this position and providing your email address(es) and/or phone number(s), you consent to receive text (SMS), email, and/or voice communication whether automated (including auto telephone dialing systems or automatic text messaging systems), pre-recorded, AI-assisted, or individually initiated from Aditi Consulting, our agents, representatives, or affiliates at the phone number and/or email address you have provided. These communications may include information about potential opportunities and information. Message and data rates may apply. Message frequency may vary.
You represent and warrant that the email address(es) and/or telephone number(s) you provided to us belong to you and that you are permitted to receive calls, text (SMS) messages, and/or emails at these contacts. You also acknowledge and agree to Aditi Consulting LLC’s use of AI technology during the sourcing process, including calls from an AI Voice Recr