Kontakt.io
Data Scientist
Kontakt.io, New York, New York, us, 10261
Kontakt.io
empowers hospitals with an advanced care delivery operations platform, leveraging intelligent data analysis, predictive insights, and AI-driven recommendations. By holistically assessing operational factors, we help healthcare organizations: Optimize resource allocation Adapt to fluctuations in patient flow and demand Enhance operational efficiency Improve care coordination and delivery Our recent growth highlights: Team expansion from 70 to 130 professionals Quadrupled Annual Recurring Revenue (ARR) Strong capital efficiency, backed by a $ 47.5M
investment from Goldman Sachs Now targeting $100M+ ARR, we’re seeking a skilled
Data Scientist
to help drive our next phase of growth. In this role, you’ll:
Model RSSI-BLE signals to enable digital asset tracking and contact tracing solutions. Analyze real-time sensor data (e.g., time series, histograms) using statistical and deep learning methods to extract actionable insights. Experiment with input signals and metadata (e.g., device models, power levels, signal strength) to improve accuracy and performance. Leverage machine learning and cloud technologies to build scalable data science solutions. Collaborate closely with product leaders and subject matter experts to develop analytics-driven solutions, enhance product features, and address business challenges. Job Requirements
University degree in Computer Science, Mathematics, Statistics, AI, Physics, or a related field. Proven experience applying advanced analytics and machine learning to real-world business challenges. Proficiency in Python programming. Strong knowledge of data science and machine learning concepts, including: Clustering, regression, classification, and forecasting. Neural networks and hyperparameter optimization. Stochastic real-time data modeling and anomaly detection. Data storytelling and visualization skills using tools like Apache Superset, Tableau, or QuickSight. Customer-focused, results-oriented mindset with creative problem-solving skills. Start-up mentality, with the ability to adapt quickly and take initiative. Ability to work independently and deliver complex projects.
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empowers hospitals with an advanced care delivery operations platform, leveraging intelligent data analysis, predictive insights, and AI-driven recommendations. By holistically assessing operational factors, we help healthcare organizations: Optimize resource allocation Adapt to fluctuations in patient flow and demand Enhance operational efficiency Improve care coordination and delivery Our recent growth highlights: Team expansion from 70 to 130 professionals Quadrupled Annual Recurring Revenue (ARR) Strong capital efficiency, backed by a $ 47.5M
investment from Goldman Sachs Now targeting $100M+ ARR, we’re seeking a skilled
Data Scientist
to help drive our next phase of growth. In this role, you’ll:
Model RSSI-BLE signals to enable digital asset tracking and contact tracing solutions. Analyze real-time sensor data (e.g., time series, histograms) using statistical and deep learning methods to extract actionable insights. Experiment with input signals and metadata (e.g., device models, power levels, signal strength) to improve accuracy and performance. Leverage machine learning and cloud technologies to build scalable data science solutions. Collaborate closely with product leaders and subject matter experts to develop analytics-driven solutions, enhance product features, and address business challenges. Job Requirements
University degree in Computer Science, Mathematics, Statistics, AI, Physics, or a related field. Proven experience applying advanced analytics and machine learning to real-world business challenges. Proficiency in Python programming. Strong knowledge of data science and machine learning concepts, including: Clustering, regression, classification, and forecasting. Neural networks and hyperparameter optimization. Stochastic real-time data modeling and anomaly detection. Data storytelling and visualization skills using tools like Apache Superset, Tableau, or QuickSight. Customer-focused, results-oriented mindset with creative problem-solving skills. Start-up mentality, with the ability to adapt quickly and take initiative. Ability to work independently and deliver complex projects.
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