WayUp
Maximus, Data Science Manager-REMOTE - Application via WayUp
WayUp, Little Ferry, New Jersey, us, 07643
This role is with Maximus. WayUp is partnering with Maximus to hire top talent.
This position is part of our Indiana Eligibility project and is remote. Travel will be required depending on client needs.
Reporting to the PMO Director, the Data Science Manager works from strategy formation through presentation to provide data-driven answers to complex strategic and tactical challenges. As a key member of the Standardized Operations and Analytics group, this position will have a keen interest in applying statistical analysis, data mining, and incorporation of machine learning and predictive analytics into real-world operational processes, especially in forecasting, staffing optimization, and process design. This role will have a passion for interpreting the “story in the data” for a lay audience and using that information to drive process-centric improvement. The role will interact with all levels of the organization and must be willing to work directly on the “front-lines”. The position will provide leadership to other staff and seek out innovations that have measurable ROI. In addition, the Manager will participate in other continuous process improvement activities, help in managing projects, and execute ad-hoc requests.
Job SummaryEssential Duties and Responsibilities:
Oversee the ongoing developments and operations of a high-performing Data Science, Reporting, and Business Analysis team, providing vision, guidance, and mentorship to staff.Compile and evaluate data to improve operations process or quality.Assist with special projects, trend analysis, and problem-solving. Provide support to operational teams on issues that need deep dives to improve process, efficiency, or errors.Establish a vision for productization of data science artifacts and delivering Data Science as a Service.Work with reporting and business analysts to interpret/translate various datasets to tell a story to business partners and senior leadership team.Assist in compiling, creating, and managing reporting.Drive team alignment with key objectives that align with organizational and project goals.Collect, arrange, and inspect data using various tools to create required reports.Act as the primary liaison between project operational groups and client stakeholders, driving cross-functional alignment, elevating transparency across key stakeholder groups.Collect, analyze, and interpret data into actionable opportunities for improvement.Identify appropriate decision technology techniques to apply to relevant analytic frameworks.Develop/maintain a consistent and cohesive reporting structure delivering regular data, reporting, and analysis to a variety of key stakeholders.Specialize in performing research and analysis to devise strategies for optimal business operations and services, ensuring efficiency and increased productivity. Manage Business Analysts performance, determine priority, schedule according to business needs.Gather & analyze data; Perform data discovery, analysis and modeling; Troubleshooting & problem-solving to support operations; root cause analysis, process improvement plans; reporting; deep dive into staffing, WFM, or operational issues.Assist with project management; Collaborate with managers to meet operational expectations. Provide assistance with required and ad hoc reporting.Prepare progress reports and presentations, updating databases as needed, maintain records and documentation.Maintain reporting structures, ensuring reports are being delivered timely and accurately. Track, report, and communicate trends, error rates, or other business requests by operational leaders.Oversight of provisioning/deprovisioning processes, working with Ops to ensure readiness for new hires.
Minimum Requirements:Bachelor's Degree in related field.5-7 years of relevant professional experience required.Leadership skills with formal training and/or prior experience.Programming Languages: SQL, Python, R.Cloud Based DBMS: Snowflake, Amazon RDS (Oracle, SQL Server, MySQL), MongoDB, etc.Experience with big data, including structured, semi-structured, and unstructured data.Experience with machine learning, specifically in the domain of natural language processing (NLP).Supervisory experience is required.
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This position is part of our Indiana Eligibility project and is remote. Travel will be required depending on client needs.
Reporting to the PMO Director, the Data Science Manager works from strategy formation through presentation to provide data-driven answers to complex strategic and tactical challenges. As a key member of the Standardized Operations and Analytics group, this position will have a keen interest in applying statistical analysis, data mining, and incorporation of machine learning and predictive analytics into real-world operational processes, especially in forecasting, staffing optimization, and process design. This role will have a passion for interpreting the “story in the data” for a lay audience and using that information to drive process-centric improvement. The role will interact with all levels of the organization and must be willing to work directly on the “front-lines”. The position will provide leadership to other staff and seek out innovations that have measurable ROI. In addition, the Manager will participate in other continuous process improvement activities, help in managing projects, and execute ad-hoc requests.
Job SummaryEssential Duties and Responsibilities:
Oversee the ongoing developments and operations of a high-performing Data Science, Reporting, and Business Analysis team, providing vision, guidance, and mentorship to staff.Compile and evaluate data to improve operations process or quality.Assist with special projects, trend analysis, and problem-solving. Provide support to operational teams on issues that need deep dives to improve process, efficiency, or errors.Establish a vision for productization of data science artifacts and delivering Data Science as a Service.Work with reporting and business analysts to interpret/translate various datasets to tell a story to business partners and senior leadership team.Assist in compiling, creating, and managing reporting.Drive team alignment with key objectives that align with organizational and project goals.Collect, arrange, and inspect data using various tools to create required reports.Act as the primary liaison between project operational groups and client stakeholders, driving cross-functional alignment, elevating transparency across key stakeholder groups.Collect, analyze, and interpret data into actionable opportunities for improvement.Identify appropriate decision technology techniques to apply to relevant analytic frameworks.Develop/maintain a consistent and cohesive reporting structure delivering regular data, reporting, and analysis to a variety of key stakeholders.Specialize in performing research and analysis to devise strategies for optimal business operations and services, ensuring efficiency and increased productivity. Manage Business Analysts performance, determine priority, schedule according to business needs.Gather & analyze data; Perform data discovery, analysis and modeling; Troubleshooting & problem-solving to support operations; root cause analysis, process improvement plans; reporting; deep dive into staffing, WFM, or operational issues.Assist with project management; Collaborate with managers to meet operational expectations. Provide assistance with required and ad hoc reporting.Prepare progress reports and presentations, updating databases as needed, maintain records and documentation.Maintain reporting structures, ensuring reports are being delivered timely and accurately. Track, report, and communicate trends, error rates, or other business requests by operational leaders.Oversight of provisioning/deprovisioning processes, working with Ops to ensure readiness for new hires.
Minimum Requirements:Bachelor's Degree in related field.5-7 years of relevant professional experience required.Leadership skills with formal training and/or prior experience.Programming Languages: SQL, Python, R.Cloud Based DBMS: Snowflake, Amazon RDS (Oracle, SQL Server, MySQL), MongoDB, etc.Experience with big data, including structured, semi-structured, and unstructured data.Experience with machine learning, specifically in the domain of natural language processing (NLP).Supervisory experience is required.
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