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Data Scientist

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.


We Make Things Easy

Easy to Use. Simplicity is harder than complexity. Each of our apps focuses on a single user and a specific problem. We create solutions for everyone to help them get things done.

Easy to Buy. We simplify pricing with a single, per-bed or per-room model that encompasses all the necessary products and services to achieve your desired outcomes.

Easy to Deploy. Using AI, cloud, and mobile technologies, our equipment autonomously communicates and validates itself without the need for human intervention, cutting deployment time from months to weeks or even days.


We Deliver Fast Outcomes

Industry’s #1 Time To Value. We accelerate your ROI and deliver positive outcomes to users faster than anyone else, thanks to how easy things work with our AI- and cloud-based platform.

Delivered As A Service. Delivering everything from devices to apps to support, our as-a-service model allows you to add new use cases with a simple click. Gain agility and speed like never before.

Outcome Driven. We deliver outcomes, not boxed equipment. From on-site installation to monitoring, all the way to service-level agreements, our approach is uniquely designed to ensure the outcomes you need.


We Ensure Unmatched Scalability

Priced for Scaling. We offer scalable pricing, regardless of your project size. Enabling our customers to create value cost-effectively is a key element of our success.

A Platform for Scaling. Lower TCO, quicker adoption of new use cases, extensive cloud scalability, and future-proofing your IT investments are among the many reasons why Kontakt.io is right for you.

Managed for Scaling. SOC-2 and HIPAA compliant, our platform integrates with your wireless and security infrastructure, allowing you to use your current IT network with confidence and uninterrupted functionality.

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What You Should Know About Data Scientist, Kontakt.io

At Kontakt.io, we’re on a mission to revolutionize healthcare with our innovative care delivery operations platform, and we need a talented Data Scientist in New York, New York to help us get there! As a key member of our expanding team, which has grown from 70 to 130 professionals, you will play a vital role in modeling RSSI-BLE signals that power our digital asset tracking and contact tracing solutions. Your expertise in analyzing real-time sensor data using advanced statistical and deep learning methods will allow you to extract actionable insights that drive our product enhancements and address key business challenges. You'll have the opportunity to collaborate with dedicated product leaders and subject matter experts, pushing the boundaries of analytics-driven solutions. To thrive in this fast-paced, dynamic environment, you’ll need to bring a customer-focused mindset, creative problem-solving skills, and a start-up mentality to the table. We are set on increasing our Annual Recurring Revenue to $100M+, and your proficiency in Python programming and data science concepts will be fundamental in building scalable solutions that can adapt to our growing needs. If you’re passionate about using your skills to improve healthcare operations and deliver positive outcomes, we’d love to hear from you. Join us at Kontakt.io and be part of making things easy, ensuring unmatched scalability, and delivering fast outcomes in the healthcare industry!

Frequently Asked Questions (FAQs) for Data Scientist Role at Kontakt.io
What are the key responsibilities of a Data Scientist at Kontakt.io?

The Data Scientist role at Kontakt.io includes modeling RSSI-BLE signals for digital asset tracking, analyzing real-time sensor data using deep learning methods, and experimenting with input signals to enhance accuracy. You'll also collaborate with product leaders to develop analytics-driven solutions addressing various business challenges.

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What qualifications are required for the Data Scientist position at Kontakt.io?

To qualify for the Data Scientist position at Kontakt.io, candidates should possess a university degree in fields such as Computer Science, Mathematics, or AI. Additionally, proven experience in applying machine learning to real business problems, proficiency in Python programming, and strong data visualization skills are essential.

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How does Kontakt.io leverage AI and cloud technologies in its Data Scientist role?

At Kontakt.io, the Data Scientist leverages AI and cloud technologies to build scalable data science solutions. This involves using advanced techniques like neural networks and stochastic real-time data modeling to create impactful solutions that contribute to improved operational efficiency in healthcare.

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What skills are essential for a successful Data Scientist at Kontakt.io?

Successful Data Scientists at Kontakt.io possess a solid understanding of machine learning concepts, including clustering and classification, alongside strong data storytelling abilities using tools like Tableau. A customer-focused mindset and creative problem-solving skills also play a crucial role in this dynamic start-up environment.

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What kind of working environment can a Data Scientist expect at Kontakt.io?

The working environment for a Data Scientist at Kontakt.io is fast-paced and team-oriented, emphasizing a collaborative approach with product leaders and subject matter experts. The company culture appreciates a start-up mentality, adaptability, and encourages independent project execution.

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Common Interview Questions for Data Scientist
Can you explain your experience with machine learning algorithms relevant to the Data Scientist position?

When answering this question, provide specific examples of machine learning algorithms you’ve used, how you selected them for particular problems, and the outcomes of your implementation. Highlight your familiarity with algorithms like clustering, regression, or neural networks, and relate them to their application in healthcare, if possible.

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How would you approach analyzing real-time sensor data at Kontakt.io?

Discuss your methodology for handling real-time data analysis, including data collection techniques, statistical methods, and the use of visualization tools. Emphasize your ability to extract insights quickly and effectively to enable data-driven decision-making.

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What strategies do you use for data storytelling and visualization?

Share your technique for transforming complex data into understandable visual stories. Provide examples of the tools you’ve used, such as Tableau or Apache Superset, and explain how effective storytelling can influence business decisions.

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Describe a challenging data science project you’ve worked on and its impact.

Select a project that illustrates your problem-solving capabilities. Describe the challenge, your approach to overcoming it, and the impacts of your solution. Quantifiable metrics such as improved accuracy or efficiency can significantly strengthen your response.

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How do you stay up to date with the latest advancements in data science?

Mention resources like academic journals, online courses, webinars, and tech conferences that you utilize to stay informed. Explain how you implement new knowledge in your work, demonstrating your commitment to continuous learning.

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What tools and technologies are you most comfortable using as a Data Scientist?

List the programming languages and tools you are proficient in, such as Python, R, or machine learning libraries (like TensorFlow and Scikit-learn). Demonstrate your understanding of how these tools apply to the tasks you’d undertake at Kontakt.io.

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How do you approach teamwork and collaboration in data projects?

Discuss your experience working cross-functionally and your communication style with team members. Highlight examples of collaboration with product leaders or engineers, and emphasize the value of diverse perspectives in data-driven projects.

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Can you give an example of a time when you had to adapt quickly in a project?

Share a story where you faced unexpected challenges in a project. Discuss your thought process, how you pivoted, and the eventual outcome. This showcases your adaptability and problem-solving skills.

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What motivates you to work in the healthcare industry as a Data Scientist?

Express your passion for using data science to improve patient outcomes and operational efficiency in healthcare. Relate how you believe your skills can contribute to advancing healthcare technology and delivery at Kontakt.io.

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How would you prioritize projects with competing deadlines as a Data Scientist?

Explain your approach to prioritization using criteria like impact, resources required, and stakeholder feedback. Flexibility and proactive communication with your team can also be key to navigating multiple project deadlines successfully.

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Kontakt.io’s mission is to deliver human-building interfaces that provide people with delightful, useful, and safe indoor experiences to help make buildings work for people.

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Full-time, on-site
DATE POSTED
December 16, 2024

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