Overview
On Site
$58 - $60 hr
Contract - W2
Contract - Independent
Contract - 14+ mo(s)
Skills
DATA
DATA ANALYSIS
DATA VISUALIZATION
DATASETS
DATA ENGINEERING
PYTHON
MACHINE LEARNING
ML
TABLEAU
KEPLER.GL
KEPLER
SAS
STATISTICAL
SPSS
STATISTICA
SQL
DATABRICKS
SPARK
Job Details
Payrate: $58.00 - $60.00/hr.
Summary:
As a Data Scientist for 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:
Relevant skills include:
Pay Transparency: The typical base pay for this role across the U.S. is: $58.00 - $60.00/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.
For information about our collection, use, and disclosure of applicant's personal information as well as applicants' rights over their personal information, please see our Privacy Policy ().
Aditi Consulting LLC uses AI technology to engage candidates during the sourcing process. AI technology is used to gather data only and does not replace human based decision making in employment decisions. By applying to this position, you agree to Aditi s use of AI technology, including calls from an AI Voice Recruiter.
#AditiConsulting
#25-21196
Summary:
As a Data Scientist for 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 machines 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 in using data-access technologies such as SQL, Spark, Databricks, etc.
- Experience with Visualization tools such as Tableau, Kepler.gl, etc.
- 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.
- What makes candidates stand out are skills such as:
- 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.
- Experience with CVML
- Experience with advanced AI techniques and tools.
- Examples of professional work such as publications, patents, a portfolio of relevant project-work, etc.
- Familiarity with Distributed Datasets
- 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 with model validation, measuring model bias, measuring model drift, 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.
Pay Transparency: The typical base pay for this role across the U.S. is: $58.00 - $60.00/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.
For information about our collection, use, and disclosure of applicant's personal information as well as applicants' rights over their personal information, please see our Privacy Policy ().
Aditi Consulting LLC uses AI technology to engage candidates during the sourcing process. AI technology is used to gather data only and does not replace human based decision making in employment decisions. By applying to this position, you agree to Aditi s use of AI technology, including calls from an AI Voice Recruiter.
#AditiConsulting
#25-21196
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.