
51 - 200 employees
🤝 B2B
💰 $100k Seed Round on 2021-11
B2B • Software • Technology
AccelOne is your trusted partner for building secure, scalable technology solutions designed to transform businesses and drive growth. They offer a comprehensive approach that spans from strategy to delivery, focusing on planning, building, and running innovative digital solutions. Their services include AI, data, and custom software development tailored to industries such as Real Estate, Fintech, Healthcare & Pharma, and Construction & Development. AccelOne prides itself on providing expert guidance, ensuring seamless integration and strong communication, and empowering businesses for lasting success through secure, scalable, and efficient solutions.
🕒 April 29
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51 - 200 employees
🤝 B2B
💰 $100k Seed Round on 2021-11
B2B • Software • Technology
AccelOne is your trusted partner for building secure, scalable technology solutions designed to transform businesses and drive growth. They offer a comprehensive approach that spans from strategy to delivery, focusing on planning, building, and running innovative digital solutions. Their services include AI, data, and custom software development tailored to industries such as Real Estate, Fintech, Healthcare & Pharma, and Construction & Development. AccelOne prides itself on providing expert guidance, ensuring seamless integration and strong communication, and empowering businesses for lasting success through secure, scalable, and efficient solutions.
• Design and deliver advanced analytical and machine learning solutions • Develop and deploy machine learning models for financial use cases • Perform exploratory data analysis on structured and unstructured datasets • Design scalable machine learning pipelines • Lead model validation and regulatory compliance • Present insights and recommendations to senior stakeholders
• 8–10 years of experience for Senior Data Scientist role • 5–7 years of experience for Mid-Level Data Scientist role • Strong programming skills in Python (mandatory) • Optional knowledge in R or Scala • Experience with machine learning frameworks like Scikit-learn, TensorFlow, PyTorch, XGBoost • Familiarity with SQL, Spark, Hive, and Big Data ecosystems • Knowledge of cloud platforms such as AWS, Azure, Google Cloud Platform (GCP)
• Health insurance • Retirement plans • Professional development opportunities
Apply Now🕒 March 21
ML Engineer/Data Scientist for matching between healthcare professionals and pharmaceutical products. Working remotely with a modern tech stack including Python and Airflow.
🗣️🇪🇸 Spanish Required
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🗣️🇪🇸 Spanish Required
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