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Data Scientist

EPITEC • Contract • Urbandale, IA, US • $50 - $60 / hour • 1d ago

Job Title: Data Scientist

Location: Onsite in Urbandale, IA or Austin, TX

Contract Type: W2, 12 months + possible extension

Pay Range: $50 - $60 per hour

***Note: No C2C or C2H arrangements possible***

Overview:

As a Data Scientist within the company's Intelligent Services Group (ISG), you will join a team leveraging petabyte-scale datasets for advanced analytics and model building. Our mission is to enable intelligent, automated equipment and improve decision-making for farmers. We collaborate with product managers and data engineers to design, scale, and deliver full-stack data science solutions. Join a passionate team applying innovative technology to solve some of the world's biggest challenges.

Key Responsibilities:

Communicate findings and methodologies effectively to stakeholders across various disciplines.
Work with high-resolution machine and agronomic data to develop and test predictive models.
Deliver production-ready machine learning solutions that generate insights and recommendations from precision agriculture data.
Define, quantify, and analyze Key Performance Indicators (KPIs) that measure successful customer outcomes.
Collaborate with Data Engineering teams to ensure efficient data storage and support for analytics.

Required Skills:

Proficiency in developing production-ready models using object-oriented programming languages (e.g., Python).
Experience with data-access technologies such as SQL, Spark, Databricks.
Familiarity with visualization tools like Tableau, Kepler.gl.
Knowledge of data modeling techniques including normalization, data quality assessment, attribute analysis, and performance management.
Experience building machine learning models (e.g., regression, supervised/unsupervised learning, probabilistic inference, natural language modeling).
Strong communication skills: leading meetings, documenting work, writing persuasively, presenting proof-of-concepts, and effective note-taking.

Preferred Qualifications (Stand-Out Skills):

Experience with geospatial data search and analysis, geo-indexing, vector/raster data structures.
Familiarity with remote sensing, GIS tools, and satellite imagery analysis.
Background in computer vision and machine learning (CVML).
Exposure to advanced AI techniques and tools.
Portfolio of professional work (e.g., publications, patents, project work).
Understanding of distributed datasets.
Experience with diverse data structures: time-series, geo-tagged, text, structured, and unstructured.
Additional programming languages: Java, JavaScript, Scala.
Experience with simulations (e.g., Monte Carlo, Gibbs sampling).
Knowledge of model validation, bias measurement, and drift detection.
Proven collaboration with cross-functional teams (Product, Sales, Finance).
Ability to communicate complex analytical insights to non-technical audiences.