Senior Data Scientist active TS/SCI

Job Locations IT-Vicenza
Posted Date 2 weeks ago(7/31/2020 10:48 AM)
Job ID
# of Openings


We are currently seeking an innovative, experienced, and highly-skilled Computer Scientist to join our growing Advanced Analytics team in Vicenza, Italy. In this role, you will create and develop custom solutions for our users in a collaborative, fast-paced, state-of-the art environment. To be successful in this role, you will be thorough, creative, and exceptionally well-skilled in all phases of the development lifecycle, with a passion for continued learning and collaboration.


*This position is located in Vicenza, Italy and requires an active TS/SCI clearance*


The Data Scientist will:

  • Demonstrate the ability to frame and scale data problems to analyze, visualize, and find data solutions.
  • Manipulate common data formats, including comma-delimited, text files, and JSON.
  • Transform data and analysis into informative visualizations and interactive dashboards using open-source and commercially available tools.
  • Derive insights and analytic narratives from data and visualizations for effective storytelling and clear communication in response to client research questions.
  • Establish data science pipelines.
  • Develop, train, test, deploy, and sustain AI and machine learning models.
  • Leverage data patterns and other development methods to optimize code and reduce computational cost.
  • Develop front-end interfaces to facilitate usage of developed AI/ML solutions
  • Work in a fast-paced, solutions-oriented environment focused on client deliverables, analysis, and reporting.


- Masters degree with 8+ years of experience OR PhD degree with 4 or more years related work experience required.

- Active TS/SCI clearance required.

- Proficiency in at least one of the following languages: Python, R, Java, as applied to programming access and manipulation of data (other languages will be considered).

- Demonstrated experience working with one or more database structures (e.g. relational, noSQL, graph). Such expertise should include experience with database retrieval methods (e.g. SQL, database specific queries, APIs).

- Experience working with a range of data storage/access options (e.g. S3 buckets, FTP sites, APIs).

- Demonstrated experience enabling access to data by way of databases or dashboards.

- Experience cleaning, filtering, and transforming data, as well as enriching data, especially by way of database joins or table lookups.

- Familiar with Department of Defense (DoD) and Intelligence Community (IC) activities, functions, and organizational structures.

- Knowledge and understanding of DoD/IC operations, data infrastructure and architecture.

- Familiarity with cloud services as applied in the DoD and IC.

- Knowledge with simplification and optimization of data automation workflows; streamlining of extract- transform-load (ETL) operations. Certification as an IT architect or enterprise architect from the Open Group, FEAC, or other industry

  recognized IT architecture certification program preferred.

- Knowledge of IT related disciplines: Software Development Life Cycle (SDLC) including a basic understanding of various SDLC methodologies such as agile and waterfall and their appropriate usage.

- Knowledge of modeling approaches: Unified Modeling Language (UML), Business Process Modeling, and Data Modeling.

- Deep understanding of data architecture approaches (e.g., TOGAF), industry standards and best practices (e.g., DMBOK).

- Strong technical skills with data technologies (e.g., Master Data Management, Enterprise Data Warehouses, Operational Data Stores, Database Management Systems, Business Intelligence).

- Practical experience with, and a strong understanding of design approaches for Enterprise Data Warehouses.

- Expert data modeling skills (i.e. conceptual, logical and physical model design, experience with Operation Data Stores, Enterprise Data Warehouses and Data Marts).

- Must have an enterprise perspective to data and how the data drives business value.

- Experience with ETL concepts, Cognos and OBIEE tools.

- Experience with Master Data Management tools.




EEO Statement

LMI is an Equal Opportunity Employer-all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. 


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LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity, age, national origin, disability, veteran status, or any other factors protected by applicable law.

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