Ambush
51 - 200 employees
Founded 2015
🤝 B2B
🏢 Enterprise
👥 HR Tech
B2B • Enterprise • HR Tech
Ambush is a People Company that specializes in identifying, retaining, and integrating highly-talented remote designers and engineers into teams across various sectors. With almost a decade of experience, Ambush focuses on building long-term, dedicated partnerships, providing clients with exceptional software development and design services. The company prides itself on its human-centered approach, remote team integration, and commitment to quality, making it a trusted partner for organizations in the financial, medical, and privacy sectors.
Data Scientist
🕒 May 27
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Ambush
51 - 200 employees
Founded 2015
🤝 B2B
🏢 Enterprise
👥 HR Tech
B2B • Enterprise • HR Tech
Ambush is a People Company that specializes in identifying, retaining, and integrating highly-talented remote designers and engineers into teams across various sectors. With almost a decade of experience, Ambush focuses on building long-term, dedicated partnerships, providing clients with exceptional software development and design services. The company prides itself on its human-centered approach, remote team integration, and commitment to quality, making it a trusted partner for organizations in the financial, medical, and privacy sectors.
📋 Description
• Build, validate, and deploy statistical and machine learning models (e.g. anomaly detection, fraud detection, clustering, NLP, generative AI). • Experiment with advanced techniques (e.g. graph neural networks, LLMs, deep learning) to push the boundaries of what data can deliver. • Collaborate with engineering, product, and business teams to translate strategic questions into data-driven solutions. • Contribute to architectural discussions on scalable, production-ready ML systems. • Share your knowledge with a team of passionate engineers and help foster a culture of agile, data-driven decision-making.
🎯 Requirements
• Strong programming skills in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch) and SQL. • Proven experience in Data Science, Data Analysis, or related roles. • Solid foundation in statistics, data modeling, and applied machine learning. • Hands-on experience with cloud platforms (AWS preferred: SageMaker, Lambda, RDS, S3). • Ability to communicate insights clearly to both technical and non-technical stakeholders. • Experience with version control (Git) and modern development practices. • Excellent English communication.
🏖️ Benefits
• Health insurance • Flexible work arrangements
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