IT Data Scientist (Mid)

Creve Coeur, IL - USA

Monthly Salary: Not Disclosed

Posted on: 2 hours ago

Vacancies: 1 Vacancy

Job Summary

Overview:

TekWissen is a global workforce management provider headquartered in Ann Arbor; Michigan that offers strategic talent solutions to our clients worldwide. This client is a German multinational Pharmaceutical and biotechnology company and one of the largest pharmaceutical companies in the world headquartered in Leverkusen and areas of business include pharmaceuticals; consumer healthcare products agricultural chemicals seeds and biotechnology products.

Job Title: IT Data Scientist (Mid)

Location: Creve Coeur MO 63167

Duration: 12 Months

Job Type: Temporary Assignment

Work Type: Hybrid

Job Description:

We are seeking a highly skilled Remote Sensing Data Scientist with deep expertise in remote sensing principles machine learning deep learning geospatial analytics and image processing to join our dynamic team.
The ideal candidate has a proven track record working with remote sensing data (satellite aerial imagery) and can translate imagery into actionable insights through advanced modeling techniques.
In this role you will collaborate with scientists across multiple disciplines-as well as IT engineering and product teams-to deliver innovative analytics that directly drive data informed decision making within clients agricultural operations.
Informed decision making within clients agricultural operations.

Key Responsibilities

Remote Sensing & Data Science

Apply foundations of remote sensing and advanced techniques in image analysis geospatial analytics machine learning and deep learning to extract insights from complex imagery datasets (e.g. multispectral hyperspectral SAR).
Build validate and operationalize predictive and prescriptive analytics solutions that enhance efficiency reliability and decision making across agricultural operations.
Design and implement pipelines for imagery ingestion preprocessing feature extraction and model deployment at scale.
Write comprehensive model documentation including problem framing data requirements modeling approach validation and operationalization.
Adhere to data science best practices-peer review code review reproducibility and version control.

Collaboration & Communication

Partner closely with agronomic scientists biologists field operations teams and digital product teams to co develop remote sensing solutions aligned with business needs.
Collaborate with clients global Data Science community to leverage shared tools platforms and modeling frameworks.
Communicate complex technical concepts model performance and insights to stakeholders clearly and effectively.

What We Expect From You

Education & Experience:

Ph.D. or M.S. (with 4 years of experience) in Remote Sensing Geospatial Science Data Science Agronomy Imagery & Robotics or related fields.

Imagery & Remote Sensing Expertise:

Hands-on experience working with remote sensing datasets.
Strong knowledge of image processing techniques (e.g. atmospheric correction orthorectification segmentation and feature extraction).
Experience with geospatial tools (e.g. GDAL Rasterio GeoPandas) and working with spatial data formats.

Machine Learning & Deep Learning:

Proficiency in applying ML/DL methods to imagery:

CNNs semantic segmentation object detection time series modeling usage of foundational models.
Strong understanding of statistical concepts model evaluation and uncertainty quantification.

Agriculture & Agronomy Background:

Foundational understanding of agricultural systems crop development field operations and agronomic principles.
Ability to contextualize remote sensing insights within agronomic workflows (e.g. crop health diagnostics field variability environmental influences).
Experience collaborating with agronomists or applying remote sensing to real world agricultural challenges is highly beneficial.

Cloud & Engineering Skills:

Experience with cloud platforms (AWS Azure or GCP) for scalable data processing and deployment.

Programming Skills:

Proficiency in Python and common ML/DL libraries (TensorFlow PyTorch OpenCV scikit learn).
Experience with SQL for querying transforming and managing structured datasets.
Strong coding discipline including maintainable code testing version control (GitHub) and reproducible workflows.
Familiary with AI assisted coding tools and technologies for rapid prototyping.

Soft Skills:

High sense of ownership curiosity and motivation to deliver impactful analytic.
Ability to explain technical findings to non technical audiences.
Strong collaboration and communication skills across diverse functional teams.

TekWisen Group is an equal opportunity employer supporting workforce diversity.

Overview: TekWissen is a global workforce management provider headquartered in Ann Arbor; Michigan that offers strategic talent solutions to our clients worldwide. This client is a German multinational Pharmaceutical and biotechnology company and one of the largest pharmaceutical companie...