Data Science Manager

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 analyst 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; troubleshoot & 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 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.

• Bachelor's Degree in a related field.
• 5–7 years of relevant professional experience.
• Leadership skills with formal training and/or prior experience.
• Programming
  
  Languages:
  
  SQL, Python, R.
• Cloud Based DBMS:
  Snowflake, Amazon RDS (Oracle, SQL Server, MySQL), Mongo
  
  DB, 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).

Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.

Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package.

Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off.

Minimum Salary $ — Maximum Salary $