Data Scientist - Onsite

  • Urbandale, IA
  • Posted 2 days ago | Updated 2 days ago

Overview

On Site
Depends on Experience
Contract - W2
Contract - 14 Month(s)

Skills

Visualization tools
Tableau
Kepler.gl
Data Modeling techniques Normalization
data quality
coverage assessment
attribute analysis
performance management
machine learning
natural language modeling
Geospatial data search
data analysis
geo-indexing techniques
vector data structures
raster data structures
remote sensing
GIS tools
satellite imagery analysis
CVML
AI techniques
AI tools
data structures
geo-tagged
text
structured
unstructured
Java
JavaScript
Scala
Monte Carlo simulation
Gibbs sampling
model validation
measuring model bias
measuring model drift
Product
Sales
Finance
Object-Oriented Prog language
Python
data-access technologies
SQL
Spark
Databricks
automated equipment
full stack data science
agronomic data
Key Performance Indicators
Data Engineering
testing
predictive models

Job Details

Title: Data Scientist - Onsite


Mandatory skills:


Visualization tools, Tableau, Kepler.gl,
Data Modeling techniques Normalization, data quality, coverage assessment, attribute analysis, performance management,
machine learning, natural language modeling,
Geospatial data search, data analysis, geo-indexing techniques, vector data structures, raster data structures,
remote sensing, GIS tools, satellite imagery analysis,
CVML, AI techniques, AI tools, data structures, geo-tagged, text, structured, unstructured,
Java, JavaScript, Scala,
Monte Carlo simulation, Gibbs sampling, model validation, measuring model bias, measuring model drift,
Product, Sales, Finance,
Object-Oriented Prog language, Python, data-access technologies, SQL, Spark, Databricks,
automated equipment, full stack data science, agronomic data,
Key Performance Indicators, Data Engineering, machine learning, testing, predictive models


Description:


As a Data Scientist for the client, 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.

You will:
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 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.

VIVA USA is an equal opportunity employer and is committed to maintaining a professional working environment that is free from discrimination and unlawful harassment. The Management, contractors, and staff of VIVA USA shall respect others without regard to race, sex, religion, age, color, creed, national or ethnic origin, physical, mental or sensory disability, marital status, sexual orientation, or status as a Vietnam-era, recently separated veteran, Active war time or campaign badge veteran, Armed forces service medal veteran, or disabled veteran. Please contact us at for any complaints, comments and suggestions.


Contact Details :

VIVA USA INC.
3601 Algonquin Road, Suite 425
Rolling Meadows, IL 60008

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About VIVA USA INC