Data Science Assistant Manager (Capacity Planning)

Requirements

Must have:

### – Bachelor’s degree in a relevant field or an equivalent combination of training, education, and experience. – At least 2 years of work experience, with a minimum of 1 year in a supervisory role. – Solid understanding of core data science principles and techniques, facilitating effective support and mentorship for team members during project execution. – Ability to oversee the production of regular reports and dashboards that visualize data science insights, ensuring they meet business needs. – Proficiency in assisting data scientists with troubleshooting and resolving technical challenges or data discrepancies. – Familiarity with data documentation and visualization tools, empowering the team to create impactful presentations and reports. – Basic leadership skills to guide team members in their daily tasks. – Project management abilities to ensure daily activities are completed efficiently and on schedule. – Strong communication skills for conveying instructions and performance expectations to the team. – Capability to provide constructive feedback and coaching to enhance team performance. – Ability to motivate team members to reach work goals and maintain high morale. – Proficiency in addressing issues promptly to ensure smooth operational continuity.

Responsibilities:

• I will coordinate the day-to-day activities of our data science team and assist in planning deliverables. – I will promote advanced model development, including version control, testing, and reproducibility to address complex business challenges. – I will collaborate across functions to leverage data and deliver actionable insights that align with our strategic objectives. – I will translate complex data into understandable insights and lead initiatives that enhance our data capabilities, contributing to our strategic goals. – I will actively manage project timelines, ensuring successful project execution, communicating needs and progress to stakeholders, and facilitating technical support as needed. – I will support research and foster a culture of innovation and experimentation regarding new data sources and modeling techniques. – I will partner with the Manager to align resources, resolve technical challenges, and keep model development on track. – I will promote an understanding of ethical modeling principles and best practices in data science among our team. – I will nurture and coach team members, supporting their development and performance while fostering a culture of transparency, accountability, and continuous improvement. Additionally, I will mentor early-career data scientists, helping them advance their analytical and technical skills, and reviewing junior team members’ model development and documentation. – I will stay current on industry trends, emerging technologies, and best practices in data science and analytics. ###

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Company:

At Navy Federal, we offer more than just a job; we provide a meaningful career experience filled with an energized and engaged culture that deeply values our teams. Our employees enjoy highly competitive pay and generous benefits. Our career approach is straightforward yet powerful: Make our mission your passion. We are proud to consistently receive recognition, including being named one of Fortune’s 100 Best Companies to Work For and numerous accolades for our work environment and commitment to our teams. We are an equal opportunity employer, welcoming all qualified applicants regardless of age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity, or any other protected status under applicable law. Please note, Navy Federal reserves the right to fill this position at a higher or lower grade level based on business needs, and an assessment may be required. Job postings may close early or be extended at the discretion of the hiring team. For more details regarding compensation and benefits, please visit the Navy Federal Career Site.