Job Title: Senior Professional Data Analyst

Location: Remote (Eastern Time Zone)

Bill Rate: BR/hr.

Duration: 03/31/25 with possibility of extension

Note: All candidates must have valid work authorization in the United States without need for visa-sponsorship

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 Gainwell 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 Gainwell, 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 on this position.

We are a product led organization transforming the way data is sourced, designed, and used to help us scale seamlessly in 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 for 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, 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
1. 5+ years of experience in Medicaid / Pharmacy data analysis using, Databricks, Tableau, SQL and Python.
2. 5+ years of experience in leading complex data science projects from requirements through development to production, end-to-end.
3. Experience implementing Databricks / Spark solutions in a cloud environment (AWS or Azure) in an Agile framework.
4. Experience preparing and delivering stakeholder communications to the Client, Gainwell Executives and Product Teams, detailing progress, data-related issues and ongoing data analytics needs.
5. 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 relational 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.
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.
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.

What you should expect in this role
Remote Position
Work Hours: Eastern Time Zone
Supports the Ohio Medicaid Account