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Lead Data Scientist

3 months ago

Hanover, United States Eccalon LLC Full time

**Location**:
This is a remote position that supports the National Security Innovation Network (NSIN) through Eccalon LLC. Hybrid working arrangements are available at our headquarters location in Arlington, VA.

**About the Role**:
We are seeking an experienced Lead Data Scientist (Business Intelligence) to join our National Security Innovation Network (NSIN) project and will have the opportunity to serve their country by embedding with key decision makers at the top levels of the U.S. Government. As the Lead Data Scientist, you will be responsible for leading the NSIN Data Cell. This role will join a team already recognized for its standout business analytics. The Senior Data Analyst will be responsible for the success of internal business operations and the decisions made to meet Government goals, all to drive for greater efficiency and accuracy of executing the mission. This will require the Senior Data Analyst to build insightful reports, research ventures and innovators across the US, and present their products to Government Leadership - all while embodying high standards of Eccalon professionalism.

**About the Team**:
**Responsibilities**:

- Lead a team of Data Analysts providing support to NSIN
- Utilize NSIN’s data and information about innovation in the US for use in analyzing trends and patterns around technology investments.
- Generate monthly reports on how well NSIN components and the overall enterprise are working based on agency KPIs and OKRs.
- Support enterprise data migrations for large scale IT projects. Ensure overall data integrity and related attribute data are backed up.
- Provide 1:1 assistance to the workforce regarding how to record their activities and how to utilize the data for their own products.
- Track and respond to ad hoc product requests from leaders across the agency in a timely and polite manner.
- Use data profiling and other discovery techniques to locate anomalies, outliers, and other instances that would cause a bottleneck in business operations.
- Design and execute models for improved data collection, continually pivoting as needed to support the business.
- Support the team in maintaining and supporting several activities, including entering and cleaning data, researching data conversions, establishing data specifications, updating sources, and ensuring data integrity.
- Crosswalking field values and attributes from the origin to the destination while reconciling errors.
- Mine data for the purposes of experimenting with predictive model prototypes.

**Required Qualifications**:

- Possess at least an earned B.A./B.S. degree.
- A minimum of five years of experience, within the last ten years, working in leading Data Analytics, Business Intelligence (BI), or Database Management, or a combination of all three in a corporate or Government setting.
- A minimum of five years of experience communicating complex data insights in a professional or academic setting.
- A minimum of five years of experience, within the last ten years, with relational databases, Database Management System (DBMS), and related programming languages, (e.g., SQL, R, and Python).
- A minimum of five years of experience with one or more data visualization tools (e.g., Tableau, Domo, Google Analytics, Salesforce, Power BI, or equivalent tools).
- A willingness and aptitude to operate successfully as part of a remote, team-based culture. About half of our organization is dispersed throughout the United States, and you'll need to be particularly sympathetic to the remote, asynchronous nature of your teammates' work.
- Experience with Salesforce
- Excellent interpersonal and presentation skills.
- Ability to work in a fast-paced, dynamic environment with cross-functional teams.
- Ability to work independently and manage timelines.
- US Citizenship Required.
- Secret Clearance

**Preferred Qualifications**:

- A TS clearance with eligibility for SCI at time of proposal submission.
- Experience leading a team or multiple teams concurrently.
- Experience implementing large new scale data platforms across a distributed organization.
- Experience teaching an organization to utilize data as a key component of the decision-making process.