• 70% Senior technical staff; • HQ in Silicon Valley, offices in Ukraine, Poland, Romania, Bolivia, Mexico and Vietnam; • Worked from anywhere long before the pandemic; • Startup engineering culture, the latest technologies.
26 січня 2023

Data Analyst with GIS Experience (вакансія неактивна)

Польща, Львів, віддалено

Our client helps companies keep their people and operations secure with Micro-Intelligence, or street-level threat assessments. Using AI to aggregate public and proprietary information, the product has created the world’s largest dataset of global threat patterns. A visualization platform helps companies conduct geolocation-based analysis for travel safety, threat intelligence, crisis management, and site selection and expansion.

We are looking for an team member with experience in data analysis, data science, EDA, and/or machine learning.

Key required skilled:

GIS experience and Python development​


— Work with the product team & customers to understand user needs, define requirements and deliver data-driven insights that support platform use cases.

— Triage issues and customer requests, perform analysis, and facilitate development work with the engineering and data science teams.

— Wrangle and analyze spatiotemporal data to identify patterns and trends, including exploratory data analysis, report creation, and supporting product discovery efforts.

— Organize, define processes, and coordinate data research to collect, analyze and assess threat datasets internationally for curation and inclusion in the Base Operations platform

— Support data ingestion pipelines through issue triage, investigation, pattern detection and troubleshooting

— Support development, evaluation and further enhancement of Machine Learning and NLP models.

— Maintain and improve the documentation used for the labeling campaign. Participate in the labeling campaign, and help to coordinate the team of analysts and interns involved in the project, resolve any issues related to the labeling.

— Working knowledge of AWS cloud service (EC2, S3, RDS, OpenSearch, Redshift, ECS, CloudWatch, etc.)


— Languages: Python (Numpy, Pandas, GeoPandas, plotly, seaborn), SQL

— Tools: AWS, Git, Docker, Kubernetes, Swagger/OpenAPI

— Datastores: Postgres (with POSTGIS), S3, Elasticsearch

— NN frameworks/libraries: Spacy, Tensorflow/Keras (Transformers, LSTMs, CRFs)

— Conventional DS frameworks/libraries: LightGBM, XGBoost, Scikit-learn


— Management of labeling campaigns and use of the annotation tools (e.g. prodigy, dida, etc.)

— Any experience in NLP (using Neural Networks), data science / machine learning

— Working knowledge of AWS cloud service (EC2, S3, RDS, OpenSearch, Redshift, ECS, CloudWatch, etc.)