Data Scientist

2 weeks ago

United Kingdom AKTEK Ltd. Full time

GEOSPATIAL DATA SCIENTIST/MACHINE LEARNING ENGINEER
Remote
We seek a highly skilled and motivated Geospatial Data Scientist/Machine Learning (ML) Engineer to join our team and spearhead the development of cutting-edge algorithms for detecting anomalies in geospatial data. The ideal candidate embodies initiative, driven by tangible outcomes and empirical insights, while excelling in communication and displaying a relentless commitment to continual advancement.
Their primary objective will be to play a pivotal role in advancing our capabilities in analyzing and interpreting complex geospatial datasets, with a distinct emphasis on security considerations and a specialized focus on geospatial data analysis.
Research, design, and develop algorithms tailored for detecting security anomalies within geospatial data, emphasizing the identification of potential threats and risks.
Apply advanced statistical modeling, machine learning techniques, and spatial analysis methods to uncover security-related patterns and outliers in large-scale geospatial datasets.
Conduct thorough cleaning, preprocessing, and integrating geospatial data from diverse sources, prioritizing data quality and integrity to enhance security analysis accuracy.
Implement scalable and efficient algorithms to optimize anomaly detection capabilities from big geospatial data (trillions of data points available for training).
Collaborate closely with cross-functional teams to understand project requirements thoroughly, ensuring that technical solutions effectively address security concerns.
Utilize cloud-based technologies throughout data and machine learning product development, with hands-on experience in implementing processes for data wrangling, assimilation, and standardization in production.
Demonstrate proficiency in code versioning, automation, and workflow orchestration tools like Github, and understand data warehousing concepts such as data migration and integration in Amazon Web Services (AWS) cloud or similar platforms.
Academic background is preferred in a Technical Field, Computer Science, Engineering, or equivalent.
Strong background in data science, machine learning, and geospatial analytics.
Comfortable working with back-end API and data integration such as GIS (ArcGIS), Salesforce, GoogleMaps API, etc.
A solid mastery of Python, Rust, and R within the context of machine learning.
Comfortable working with AWS cloud services.
Demonstrated expertise in developing anomaly detection algorithms, preferably applied to geospatial data.
Familiarity with machine learning libraries and frameworks.
Strong command of the English language and ability to work with remote teams.
Previous Business Intelligence experience.
● Foreign language fluency (i.e., Arabic, French, Spanish, Portuguese, etc).
If you resonate with these qualities and are eager to embark on this rewarding journey, we invite you to explore our opportunity as an SDR. Can you share a project you're proud of working on? *
AKTEK is committed to protecting and respecting your privacy, and we’ll only use your personal information to administer your account and to provide the products and services you requested from us. From time to time, we would like to contact you about our products and services, as well as other content that may be of interest to you. For more information on how to unsubscribe, our privacy practices, and how we are committed to protecting and respecting your privacy, please review our Privacy Policy. By clicking submit below, you consent to allow AKTEK to store and process the personal information submitted above to provide you the content requested.
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