Sr. / Data Scientist



51-200 employees

Transforms healthcare data into efficiency-boosting insights.

Data & Analytics
AI & Machine Learning


Bethesda, MD, USA

Required Skills
Data Structures & Algorithms
Apache Spark
Data Analysis
  • Bachelor’s Degree/Master’s Degree in Computer Science, Mathematics, Statistics, Physics, Electrical Engineering, Computer Engineering or related fields from tier 1 college.
  • Hands-on Software Development Skills (Scala-Preferred).
  • Experience or educational courses/projects in Machine Learning, and/or Text Mining Algorithms.
  • Knowledge of statistical techniques, linear algebra, numerical optimization.
  • Knowledge of ML theory such as bias variance tradeoff, regularization, loss functions and experienced in A/B testing.
  • Ability to work closely with Domain experts to develop tools/algorithms needed to answer research questions in their studies.
  • Excellent Communication Skills (with the ability to explain developed tools and ML algorithms to a non-technical audience).
  • Ability to formulate operational problems in healthcare domain as technical problems that allows for reuse of leading research in the area.
  • Proven ability to work independently to learn new technologies, techniques, processes, languages, platforms, systems.
  • Strong analytical, inferential, critical thinking, and creative problem-solving skills.
  • Self-starter with ability to work both independently and with a team.
  • Experience with Deep Learning Frameworks such as Keras, Tensorflow, PyTorch,Mxnet etc.
  • Experience with interpretability of deep learning models.
  • Big Data Skills (Hadoop, Spark, recent deep learning platforms).
  • Experience with text mining tools and techniques including in areas of summarization, search (e.g. ELK Stack), entity extraction, training set generation (e.g. Snorkel) and anomaly detection.
  • Expert software development skills including developing and maintaining production quality code
  • Leveraging AI/ML techniques and solutions to identify and mathematically interpret complex healthcare problems.
  • Deploy and optimize machine learning solutions on massive datasets using big data technologies.
  • Develop and prototype AI algorithms and software tools.
  • Implement enhancements to existing algorithmic/deep learning solutions.
  • Conduct quantitative data analysis using a variety of datasets.
  • Increase the efficiency and improve the quality of solutions offered.
  • Understand business use cases and pull the necessary data from various sources to provide key insights to stakeholders. Build and deploy additional functionalities as per client requirements.
  • Leverage recent advances in machine learning technologies and oversee the team’s training.
  • For Lead/Sr. Data Scientists-Lead a team of Data Scientists, developers as well as clinicians to strategize, design and evaluate AI based solutions to healthcare problems.

Company Stage

Series B

Total Funding



Bethesda, Maryland



Growth & Insights

6 month growth


1 year growth


2 year growth