Providence Health & Services-posted about 2 months ago
Full-time • Manager
Remote • Renton, WA
5,001-10,000 employees
Hospitals

Providence is seeking a full-time Data Science Product Manager to leverage a robust data science skillset as well as a customer service and process-oriented skillset to assess customer needs, design product roadmaps, lead efforts to build/test/validate/iterate, and maintain data science and analytic products. Execute data science projects, including analyzing large amounts of raw information and preprocessing structured and unstructured data. Build predictive models, conduct experimental designs and web analytics, and build machine learning algorithms using advanced technologies to support Healthcare Research Accelerator initiatives. Exhibit a strong curiosity about data and excels at harvesting insights from highly complex data across multiple data sources. Work closely with Data Engineers and establish the entire project/product life cycle. Employee has option to telecommute full-time from any state in which Providence has an office (currently: AK, WA, OR, CA, NM, MT, TX)

  • Assess customer needs
  • Design product roadmaps
  • Lead efforts to build/test/validate/iterate
  • Maintain data science and analytic products
  • Execute data science projects, including analyzing large amounts of raw information and preprocessing structured and unstructured data.
  • Build predictive models, conduct experimental designs and web analytics
  • Build machine learning algorithms using advanced technologies to support Healthcare Research Accelerator initiatives
  • Harvest insights from highly complex data across multiple data sources
  • Work closely with Data Engineers and establish the entire project/product life cycle
  • Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a similar field.
  • Three (3) years experience in data science or related.
  • Requires skills and experience in the following:
  • 3 years of experience with querying large datasets using SQL, Python and/or R, Jupyter Notebook, NumPy, Pandas, Matplotlib/Seaborn, and Spark/PySpark.
  • 3 years of experience with big data, database query, and analysis languages (e.g., Python, SQL, Snowflake SQL, R, Scala, SAS, Azure DataBricks, interactive dashboarding) and data visualization tools (e.g., Power BI, Tableau).
  • 3 years of experience with Machine learning, deep learning model development, NLP model (Natural Language Processing) development, and other methods to solve complex problems using structured and unstructured data.
  • 3 years of experience with SciPy, Scikit-learn (SKLearn), Spacy, TensorFlow/Keras, and Docker.
  • 3 years of experience working with Electronic Medical Record, clinical data, Healthcare standard code sets such as ICD, CPT/HCPCS, LOINC, OMOP.
  • 3 years of experience working in Microsoft Azure or other major Cloud platforms.
  • 3 years of experience with Kubernetes, DataBricks, Snowflake, and Azure Data Factory/Airflow.
  • 3 years of Data architecture experience, including data ingestion, processing, storage and reporting in a big data environment.
  • 3 years of experience supporting healthcare research projects. Understanding of research project life cycle from planning through implementation and reporting phases.
  • 2 years of demonstrated expertise in ensuring compliance with healthcare regulations and standards. Knowledge of health data privacy guidelines, including HIPAA de-identification standards. Experience handling Protected Health Information (PHI) and Personally Identifiable Information (PII) with a focus on maintaining confidentiality and security.
  • 1 year of experience in statistical modeling, including designing and conducting hypothesis testing, survival analysis, probabilistic modeling, with the ability to interpret and present results.
  • 1 year of experience working with biomarker genomics data and understanding of genomic and proteomic data pipelines.
  • Experience in product management with a focus on data management, analytics, product design and operations support.
  • Providence offers a comprehensive benefits package including a retirement 401(k) Savings Plan with employer matching, health care benefits (medical, dental, vision), life insurance, disability insurance, time off benefits (paid parental leave, vacations, holidays, health issues), voluntary benefits, well-being resources and much more. Learn more at providence.jobs/benefits.
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