Data Scientist
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At a glance
Requirements
Credentials this posting asks for.
Job overview
PSKW, LLC is hiring a Data Scientist. The Data Scientist will perform data analysis, research, design, simulate, and prototype new algorithmic product designs to optimize financial assistance for patients, focusing on speed, impact, and cost, while minimizing fraud risk. This role involves developing and deploying supervised and unsupervised machine learning models on AWS, gaining insights from data sets, and collaborating with customers to brainstorm hypotheses and conduct trial analyses. The scientist will also visualize data in Looker dashboards and identify anomaly patterns.
Key focus areas include Perform data analysis and research, Design, simulate, and prototype new algorithmic product designs, and Optimize speed, impact, and cost of financial assistance.
Successful candidates bring Master's Degree Or Foreign Equivalent In Business Analytics And Project Management, Information Technology, Or A Closely Related Field. Important skills include Data Analysis, Research, Algorithmic Product Design, Optimizing Speed, Impact And Cost Of Financial Assistance, Minimizing Risk Of Fraud Or Abuse Of Benefits, and Supervised Machine Learning Models.
Skills & qualifications
Skills
Qualifications
Full job description
Minimum Education Required
Master’s degree or foreign equivalent in Business Analytics and Project Management, Information Technology, or a closely related field
Compensation
$138,135.00 - $145,000.00 / Yearly
Hours Per Week
40
Number Of Positions
1
Job Description
Data Scientist (PSKW, LLC (d/b/a ConnectiveRx), Whippany, NJ): Perform data analysis as well as research, design, simulate, and prototype new algorithmic product designs based on business needs, with a focus on optimizing the speed, impact and cost of financial assistance delivered to the patient while minimizing risk of fraud or abuse of benefits; Develop and deploy supervised machine learning models, which utilize data provided by the company’s call centers and live programs, and unsupervised machine learning models on Amazon Web Services; Gain insight into and munge data sets for use in modeling; Collaborate with customers to brainstorm hypotheses, leverage unique data sets, conduct trial analyses and share results at key milestones; Align design efforts with ConnectiveRx services, data sets and value proposition; Visualize data in the Looker dashboard, tuning ML Models; and Work closely with different clients for identifying anomaly patterns in data. Hybrid Work Schedule. Base salary of $138,135-$145,000 with standard company benefits.
Requires a Master’s degree or foreign equivalent in Business Analytics and Project Management, Information Technology, or a closely related field. Requires experience with/demonstrated knowledge of the following: Developing robust AI tool for automated detection and overseeing its design, implementation, and refinement to ensure reliable performance; Processing and managing image data for model training and evaluation; Machine Learning; Integrating AI models with a website using REST API in Python, designing and implementing API endpoints to facilitate seamless interaction between the model and the web-based application; Designing scalable APIs and structured data models to support efficient data processing and inference requests; Leveraging Google Cloud for scalable model deployment, enabling efficient storage, computation, and inference in a cloud-based environment; Collaborating within an Agile Scrum framework, contributing to iterative development, cross-functional collaboration, and continuous improvement of the AI-driven solution; Improving data accessibility for non-technical staff; Creating SQL scripts for simplified querying; Data cleaning; Implementing JDBC for seamless database connectivity and integrated REST-based services within the Serenity framework; Maintaining version control using Git; Developing and executing automated integration testing in Serenity; Validating application functionality and ensuring software reliability; Designing data models, sequence diagrams, and class diagrams; and Using: REST-based services, automated integration tests, Cloud/VM infrastructure and technologies, NoSQL databases, and tuning ML Models. Employer will accept any level of experience, knowledge, or proficiency in the skills listed. Knowledge may be gained through course work/research projects/work experience.
Send resumes to [email protected] with Req #3841 in subject line.
Place of Work
Hybrid
Requisition ID
3841
Job Type
Full Time
Application Instructions
Send resumes to [email protected] with Req #3841 in subject line.
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