Senior Data Scientist

Practice - AIA - Artificial Intelligence and Analytics

About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future-a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.

By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant's AIA practice takes insights that are buried in data and provides businesses a clear way to transform how they source, interpret and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.

Job Summary

Leverage background in remote sensing image processing statistical geo-statistical and machine learning models to analyze complex imagery data to develop actionable insights to drive agriculture operation. Write model documentation to detail problem formulation modeling approach validation data requirements and implementation steps. Follow data science best practices including peer review code review documentation coding standards and ensure reproducibility.

Responsibilities

Collaborate and Communicate

* Build cross-functional relationships to partner with the business stakeholders and collaborate with Bayers Data Science community to co-develop innovative solutions.

* Communicate results to key stakeholders in a clear and compelling manner.

Experience:

* You have Ph.D. (or MS with 4+ years of post-MS experience) in one of the following areas: Remote Sensing Image Processing Computer Vision Data Science.

Geospatial data:

* Have experience working with geo-spatial data (eg. satellite imagery UAV etc).

* Experience using open-source tools for spatial data analysis and visualization (eg. QGIS GDAL).

* Proficient in handling and processing different geospatial formats (eg. GeoJSON SHP GeoTIFF).

Geospatial Analytics and Machine Leaning:

* Demonstrated understanding of machine learning & deep learning frameworks statistical concepts and geo-statistics and spatial data analysis. You have experience in geospatial image processing.

Cloud Computing:

* Familiarity with cloud computing platforms (e.g. AWS Google Cloud Platform Azure).

Programming:

* Proficient in Python or other high level programming language with experience in using geospatial and machine learning libraries (eg. OpenCV TensorFlow PyTorch etc).

* Capable of writing clean code following coding best practices such as use of Github and version control.

Soft skills:

* High sense of ownership and are motivated to deliver valuable analysis.

* Excellent communication skills and can clearly explain technical concepts to non-experts.

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Applications will be accepted until 14 Mar 2025.

Salary and Other Compensation:

The annual salary for this position is between $[ 133,000 - 156,500] depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant's discretionary annual incentive program and stock options, based on performance and subject to the terms of Cognizant's applicable plans.

Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

* Medical/Dental/Vision/Life Insurance

* Paid holidays plus Paid Time Off

* 401(k) plan and contributions

* Long-term/Short-term Disability

* Paid Parental Leave

* Employee Stock Purchase Plan