Data Scientist

247Hire; Austin (TX); On-site; USD 90,000 - 130,000; Full time

Job summary

247Hire seeks a Machine Learning Specialist in Austin, Texas, to develop production-ready models using high-resolution agricultural data. You will communicate insights effectively to diverse stakeholders and work closely with data engineering teams to ensure efficient data storage.

Ideal candidates will possess strong skills in Python and SQL, alongside experience in developing machine learning approaches. Join us to make a significant impact in precision agriculture.

Qualifications

• Demonstrated competency in developing production-ready models in an Object-Oriented programming language.
• Experience with data-access technologies such as SQL, Spark, Databricks.
• Experience with visualization tools like Tableau and Kepler.gl.

Responsibilities

• Communicate findings effectively to stakeholders from diverse backgrounds.
• Develop and deliver machine learning approaches to gain insights from precision agriculture data.
• Work with data engineering teams to store data efficiently for analytics.

Skills

Python

SQL

Spark

Tableau

Machine Learning

Excellent communication skills

Tools

Databricks

GIS tools

Job description

Responsibilities

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.

Qualifications

• 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

• 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.