Cherish · 1 day ago
Sr. Data Scientist (Sensor Data)
Boston, MA
Full-time
Onsite
Senior Level
5+ years expCherish develops intelligent radar-based sensor platforms for health and safety monitoring. They are seeking an experienced Senior Data Scientist to independently drive scalable frameworks for radar insights while ensuring the highest data quality standards.
Artificial Intelligence (AI)Health Care
Responsibilities
Own and drive our weekly Data Curation / Data Analysis (DC/DA) efforts as the single-threaded leader
Independently establish DC/DA frameworks and processes from first principles
Develop and refine auto-labeling techniques for faster annotation
Build robust visualization and root-cause analysis (RCA) tooling to help debug and improve models
Perform in-depth data exploration to identify gaps, biases, and edge cases
Design and implement robust data pipelines tailored to radar data, including processing, cleaning, and transforming raw radar signals
Conduct exploratory data analysis to extract valuable insights specific to radar data, such as target detection, tracking, and classification
Explore and visualize data to identify patterns, trends, and relationships, providing actionable insights to stakeholders
Craft publication-quality data visualizations highlighting results and improvements
Collect, categorize, and analyze data from various sources (e.g., spreadsheets, company databases, public websites, sensors, devices)
Clean and prepare raw, unstructured datasets to ensure they are accurate and usable for analysis
Develop predictive models to support key business initiatives, integrating radar data with other data sources to provide comprehensive solutions
Collaborate closely with DSP and ML engineers to ensure seamless radar data processing algorithms integration into existing systems
Create, validate, test, and update algorithms and models for tasks such as classification, regression, and clustering
Develop statistical models and algorithms using machine learning to forecast trends and behaviors
RF/ML pipeline testing (end-to-end, and per-module) and root cause analysis (RCA)
Stay current with industry trends and best practices in radar data analysis, continuously enhancing the organization’s capabilities in this domain
Clearly communicate technical concepts and progress not only within your team but also to other teams across the company
Ensure that all departments understand the work that you are doing and how it aligns with and supports the broader company goals
Develop and maintain documentation for design specifications, test plans, and user manuals
Stay up-to-date with the latest advancements in data science methodologies and technologies
Use data visualization software to present findings as charts, maps, and other graphics
Communicate complex data insights clearly and effectively to both technical and non-technical audiences, including stakeholders and senior management
Collaborate with cross-functional teams (e.g., marketing, finance, operations, engineering) to integrate data insights into business strategies and implement recommended solutions
Identify opportunities to apply data insights or models in other business areas
Qualification
Required
Proven leadership experience with the ability to independently own data collection and data curation processes
A track record of determining, implementing, and tracking key performance indicators (KPIs) for sophisticated processing pipelines
Experience being the single-threaded owner for key pipelines
Proficiency in programming languages such as Python, R, or Matlab
Experience with radar data processing techniques and tools
Strong understanding of statistical methods and machine learning algorithms
Fluency in data science tools like NumPy/Scikit-learn, and cloud services (Google Cloud Platform)
Implementing automation processes for repetitive tasks and high-compute time activities
Solid understanding of software development methodologies and version control systems
Strong analytical and problem-solving skills with a focus on system-level performance optimization
Excellent written and verbal communication skills
Ability to work effectively both independently and in a team environment
Experience with debugging tools, emulators, and performance optimization techniques
Preferred
RF engineering principles and practices
Experience with radar hardware and systems
Radar data visualization techniques and tools, such as waterfall plots, range-Doppler maps, or ParaView
Familiarity with radar-specific data formats and protocols
Experience with radar data simulation and modeling
Machine learning experience, particularly in applying ML techniques to radar signal processing tasks
Experience with stereo cameras and thermal cameras considered a bonus
Company
Cherish
Cherish develops intelligent radar-based sensor platforms that revolutionize health and safety monitoring wherever people live, work, play, or receive care.
51-200 employees
H1B Sponsorship
Cherish has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (4)
2023 (1)
2022 (2)
Funding
Current Stage
Growth StageTotal Funding
unknownKey Investors
Health Engine
2024-02-21Grant
2022-01-01Seed
Leadership Team
Elizabeth Elfenbein
Chief Marketing Officer
Recent News
Seattle TechFlash
2025-05-30
Company data provided by crunchbase