| Senior Professional Data Analyst with Medicaid remote USC GC only at Remote, Remote, USA |
| Email: [email protected] |
| From: shaik, Convextech [email protected] Reply to: [email protected] Hi Hope you are doing well. we have a great opportunity available for you. Please have a glance at the below requirement and let us know if you would like to pursue it if yes, please share your updated resume and let me know your expected hourly rate. Position Title: Senior Professional Data Analyst Location: Remote (Need to work in EST time zone) Expected Duration: 06+ Months with the possibility of extension. Visa acceptance: US Citizen/ Green Card Client name (To prevent the dual submission): Gainwell Technologies Mode of interview: MS Team/ Skype Submission Process: need video pre-screening and photo ID. LinkedIn Mandate Job Description: Be part of a team that unleashes the power of leading-edge technologies to help improve the health and well-being of those most vulnerable in our country and communities. Working at Client carries its rewards. You will have an incredible opportunity to grow your career in a company that values work flexibility, learning, and career development. You will add to your technical credentials and certifications while enjoying a generous, flexible vacation policy and educational assistance. We also have comprehensive leadership and technical development academies to help build your skills and capabilities. Summary: As Senior Professional Data Analyst at Client, you can contribute your skills as we harness the power of technology to help our clients improve the health and well-being of the members they serve - a community's most vulnerable. Connect your passion with purpose, teaming with people who thrive on finding innovative solutions to some of healthcare's biggest challenges. Here are the details of this position. We are a product-led organization transforming the way data is sourced, designed, and used to help us scale seamlessly in the face of incredible growth. We are looking for a thought leader in how to design, implement, manage, and scale our performance for all internal use cases. You will join a growing Data Analytics, Engineering & Integration team that supports the data needs of our Healthcare Pharmacy client and internal stakeholders, across all business functions. Your role in our mission: Work closely with engineers to deploy models to production both in batch and real-time while systematically tracking model performance. Build complex data sets from multiple data sources and write complex data flows using Databricks, SQL, Spark, and scripting languages (e.g., Python, R). Use data visualization tools (e.g., Tableau, PowerBI) to share ongoing insights. Present findings to both technical and non-technical audiences. Function as a subject matter expert on machine learning and predictive modeling. Assist engagements with key business stakeholders in a discussion on business opportunities. Be an evangelist driving wider adoption of analytics across the enterprise. Generate performance metrics such as accuracy, sensitivity, specificity, positive predictive value, ROG, AUG, calibration, and SHAP (Shapley Additive explanations). Lead large data science projects and deliver innovative technical solutions to solve problems and improve business outcomes. Design, develop, test, validate, and deploy Machine Learning (ML)/ Statistical models to not only learn from our vast amounts of data but to build new products. What we are looking for: 5+ years of experience in Medicaid/ Pharmacy data analysis using Relational Databases, Databricks, SQL, and Python. 5+ years of experience in leading complex data science projects from requirements through development to prod, end-to-end. Experience implementing Databricks/ Spark solutions in a cloud environment (AWS or Azure) in an Agile framework. 2+ years of industry experience in Data Science/ Machine Learning as a mid-senior data scientist/ technical lead developing ML models with business impact, along with 5+ years of hands-on, industry experience with data & languages such as e.g., SQL, Python, R, SAS. Experience with 2 or more additional modeling techniques (i.e., Natural Language Processing, Deep Learning, Time Series Analysis, Optimization algorithms) with one or more deep learning libraries (e.g., Tensor Flow, PyTorch, Gaffe) is a plus. Additional Skills/ Experience: Computer Science Degree: Statistics, Informatics, or another quantitative field. SQL knowledge and experience working with relational databases, query authoring (SQL) as well as familiarity with a variety of databases, Vertica a plus. Experience with Application and Data Analytics testing strategy and execution. Support the orchestration and implementation of Databricks Control Plane and Data Plane solutions/ processes. Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data analytics needs. Streamline existing and introduce enhanced reporting and analysis solutions that leverage complex data sources derived from multiple internal systems. Work in collaboration with infrastructure and development teams to design, migrate, build, and maintain optimal data pipeline, data models (Logical/ Physical) program code base, architecture, and data structures for the Healthcare Lakehouse and supporting components. Experience working with AWS cloud services: EC2, S3, RDS, Redshift and Glacier/ Archival. Experience with Data mining, Data Science, and Predictive analytics is a plus. Keywords: machine learning sthree rlang information technology microsoft Idaho |
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| Tue Feb 27 22:49:00 UTC 2024 |