Data Scientist II (Training)
Boston, MA
WHOOP
Monitor your sleep, strain, recovery, and health with the most advanced fitness and health wearable available today. WHOOP helps you discover data-driven insights for a healthier, more empowered life.
WHOOP is an advanced health and fitness wearable, on a mission to unlock human performance. WHOOP empowers its members to improve their health and perform at a higher level through a deeper understanding of their bodies and daily lives.
As a Data Scientist II, you’ll help develop technology at the core of the business. In collaboration with MLOps, product managers, and research scientists, you'll develop algorithms to transform wearable sensor data into meaningful insights for users to capture aspects of daily movement, exercise, and training. You’ll work with data from a variety of sources including processed time series data generated by sensors on the WHOOP Strap, data collected from “gold-standard” devices, and data entered manually by WHOOP members via the mobile application. Using these data sources, as well as drawing upon clinical theory and evidence, you will design, train, and deploy machine learning algorithms to analyze training data. We’re looking for someone who has experience developing ML models with large datasets in Python and who is excited about the use of wearables in the health and wellness space.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
As a Data Scientist II, you’ll help develop technology at the core of the business. In collaboration with MLOps, product managers, and research scientists, you'll develop algorithms to transform wearable sensor data into meaningful insights for users to capture aspects of daily movement, exercise, and training. You’ll work with data from a variety of sources including processed time series data generated by sensors on the WHOOP Strap, data collected from “gold-standard” devices, and data entered manually by WHOOP members via the mobile application. Using these data sources, as well as drawing upon clinical theory and evidence, you will design, train, and deploy machine learning algorithms to analyze training data. We’re looking for someone who has experience developing ML models with large datasets in Python and who is excited about the use of wearables in the health and wellness space.
RESPONSIBILITIES:
- Develop statistical and machine learning models to solve complex problems with data of varying structures
- Conduct research on specific health and physiological problems and integrate clinical research into the development of algorithms
- Productionize models and algorithms, monitor model performance and the production service in the field
- Work with MLOps engineers to stand up production backend APIs in Python that pass data through inference pipelines with trained machine learning models
- Reports to the Training Data Science Manager
QUALIFICATIONS:
- Bachelor's Degree in Statistics, Data Science, Applied Mathematics, Computer Science or a related field. Master’s preferred.
- 2+ years of full-time professional experience in a related area
- 2+ years experience applying advanced mathematical and statistical techniques
- Strong python programming skills and substantial experience with scientific python packages
- A strong interest in improving people’s health and well-being
- Experience working with processed physiological time series data such as that from PPG, ECG, or EEG sensors is a plus
- Experience deploying services and maintaining live code through logging and monitoring within a production environment is a plus
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Job stats:
1
0
0
Categories:
Data Science Jobs
Deep Learning Jobs
Tags: APIs Computer Science Machine Learning Mathematics ML models MLOps Pipelines Python Research Statistics
Region:
North America
Country:
United States
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.
Senior AI Engineer jobsSr. Data Engineer jobsData Engineer II jobsBI Developer jobsPrincipal Data Engineer jobsStaff Data Scientist jobsStaff Machine Learning Engineer jobsData Manager jobsData Science Manager jobsData Science Intern jobsPrincipal Software Engineer jobsBusiness Data Analyst jobsJunior Data Analyst jobsData Specialist jobsResearch Scientist jobsData Analyst Intern jobsSoftware Engineer II jobsLead Data Analyst jobsDevOps Engineer jobsSr. Data Scientist jobsAI/ML Engineer jobsData Engineer III jobsJunior Data Engineer jobsStaff Software Engineer jobsData Engineering Manager jobs
Git jobsLinux jobsOpen Source jobsEconomics jobsAirflow jobsKafka jobsPhysics jobsComputer Vision jobsNoSQL jobsData Warehousing jobsMLOps jobsJavaScript jobsKPIs jobsGoogle Cloud jobsHadoop jobsPostgreSQL jobsRDBMS jobsScala jobsTerraform jobsScikit-learn jobsGitHub jobsData warehouse jobsBanking jobsR&D jobsStreaming jobs
Classification jobsPandas jobsOracle jobsDistributed Systems jobsBigQuery jobsPySpark jobsScrum jobsCX jobsReact jobsRAG jobsMicroservices jobsdbt jobsRobotics jobsLooker jobsJira jobsData Mining jobsIndustrial jobsRedshift jobsSAS jobsMySQL jobsJenkins jobsE-commerce jobsNumPy jobsUnstructured data jobsGPT jobs