About this opportunity
LMI Consulting, LLC lists this Senior Data Analyst/Data Scientist - TS/SCI with Polygraph Required opportunity in washington, District of Columbia. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Senior Data Analyst/Data Scientist - TS/SCI with Polygraph Required
Job Locations
US-DC-Washington
ID
# of Openings
2
Overview
LMI is seeking a Senior Data Analyst/Data Scientist to support our Intelligence Community client.
This position requires an active TS/SCI with a Polygraph.
This position requires you to be on site 5 days a week at Bolling Air Force Base.
LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.
Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and intelligence sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.
Responsibilities
Responsible for providing advanced data analytics and predictive strategic workforce planning via on-demand, intuitive web-based capabilities and reporting.
Collaborate with an integrated team of data scientists, data analysts, and HR functional SMEs to understand business processes, develop analytical requirements, identify key data elements, adhere to data protection guidelines, and interpret and communicate analytic results
Understand and analyze complex and organization-specific datasets.
Define and develop techniques to integrate, consolidate, and structure data for analytical use.
Support the maturation of data quality
Support the transformation of businesses process through automation
Transform data and analysis into informative visualizations and interactive dashboards using open-source and commercially available visualization and dashboard tools
Provide regular detailed reporting to management and customers
Advise on the interpretation and use of data analysis products, dashboards and reports to non-technical customers
Assist the development of junior data scientists through technical mentoring, code review, and other assistance.
The data scientist will need the ability to work in teams and independently
Identify, propose, and assist in the development of future analytics products based on the data pipeline to assist customers in gaining value from the data products.
Qualifications
Bachelor's degree in science, engineering, mathematics, computer science, economics, data analytics, or other related business or quantitative discipline
7+ years experience in data or business analytics
High level of competency with data science/analysis coding languages like SQL, Python, or R
Experience developing dashboards using Tableau, Qlik, Power BI, RShiny, plotly, or d3.js
Experience with data science methods related to data architecture, data munging, data and feature engineering, and predictive analytics.
Self-starter with the vision to independently identify opportunities for improvement through data analytics
A true team player who maintains a positive attitude in a dynamic environment
Excellent communication skills, written and oral
Proven ability to work with business customers and technical teams
Highly organized and able to manage multiple projects simultaneously
Excellent customer relationship management skills
Innovative problem-solving skills and ability to thrive in a fast-paced environment
Ability to work on client site in the NCR in Washington, D.C.
This position requires an active security clearance at the TS/SCI level with a Polygraph.
Desired Qualifications:
Masters degree or higher
Experience using python libraries to build machine learning models like regression models and decision trees
Experience with version control software like Git
Management consulting experience desired
Experience working with unstructured text and natural language processing
Experience with deploying and maintaining models in production
Previous experience with people analytics
Target salary range: $110,000 - $180,000
Disclaimer: The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.
#LI-SH1
Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.
Job Locations
US-DC-Washington
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, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact
Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.