San Jose, California, United States
We are looking for a Data Scientist with excellent data science and ML skills. The ideal candidate is highly skilled in:
Framing business problems into ML/data science problems
Navigating through uncharted waters and exploring complex messy unstructured data
Applying data science/ML to create ML-powered products that customers use daily
You will be applying data science and ML techniques on operational non-patient data obtained from medical devices to enable ML-powered products. A few examples of the business problems that these products will be solving:
Enable predictive maintenance of medical devices
Reduce unplanned downtime for medical devices
Reduce mean time between failures of medical devices
Detect early signs of deterioration in medical device health
Enable proactive detection of a problem with a medical device
Improve patient safety
Enable better utilization of medical devices
Improve operator productivity
Improve device efficiency
You will own the complete end-to-end ML processes:
Build domain expertise and deep understanding of different types of medical devices
Formulate a business problem into a ML problem
Conduct exploratory data analysis on messy unstructured datasets to understand data and extract insights
Create dashboards for showing insights extracted from data
Identify data that can be used for ML from a complex and not-well defined datasets
Determine the different ML techniques that can applied on the operational data collected from medical devices
ETL, cleanse and prepare data for different ML use cases
Apply ML algorithms, both supervised and unsupervised
Train and evaluate ML models
Collaborate with others to deploy, monitor, and manage models in production
Manage model lifecycle
5+ years’ work experience as a data scientist training and deploying ML models in production
3+ years’ work experience training and deploying in production models for predictive maintenance
2+ years’ work experience using Python data science libraries for EDA, data prep, feature engineering, and ML
2+ years’ work experience with SQL
Deep understanding of different ML algorithms, frameworks, and libraries
Strong knowledge of statistics
Excellent exploratory data analysis skills
Strong data cleansing, data prep and feature engineering skills
Experience working with big data technologies such as Spark and HDFS
Master’s or Ph.D. in Math, Statistics, CS, or other quantitative fields
Experience with MLFlow, KubeFlow, AirFlow
Experience with Spark Mllib
Experience programming in Scala
Experience with HDFS, Cassandra, Vertica,
Experience with Tableau, Superset
(Regular – Full Time)
If you are an experienced Data Scientist who enjoys working in a startup environment and loves building ML-powered products that customers use daily, we would love to hear from you.
For more information, please send your resume to [email protected]
looks for a Data Scientist in San Jose, CA location.
The proposed salary for Data Scientist Jobs position at is Not disclosed.
According to the common industry standard, Data Scientist Jobs specialist is in charge for the following activities.
To be disscussed with candidate
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