Data Scientist

Chantilly, VA, US • Posted 5 days ago • Updated 7 hours ago
Full Time
On-site
USD $109,000.00 - 200,000.00 per year
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Security Clearance
  • Reporting
  • API
  • Interfaces
  • Evaluation
  • Data Collection
  • Data Science
  • Computer Science
  • Electrical Engineering
  • Physics
  • Statistics
  • Finance
  • Econometrics
  • Economics
  • Mathematics
  • Operations Research
  • Open Source
  • Programming Languages
  • R
  • SQL
  • Machine Learning (ML)
  • PyTorch
  • NumPy
  • scikit-learn
  • TensorFlow
  • Pandas
  • Data Manipulation
  • Data Visualization
  • Data Analysis
  • Critical Thinking
  • Conflict Resolution
  • Problem Solving
  • Unstructured Data
  • Presentations
  • Graphics Design
  • Communication
  • Python
  • Git
  • Version Control
  • Relational Databases
  • MySQL
  • Apache NiFi
  • Apache Kafka
  • Amazon EMR
  • Electronic Health Record (EHR)
  • Apache HBase
  • Splunk
  • Spring Framework
  • Continuous Integration
  • Continuous Delivery
  • Emerging Technologies
  • Trend Analysis
  • Research
  • Extract
  • Transform
  • Load
  • Amazon Web Services
  • Cloud Computing
  • Docker
  • Databricks
  • Graph Databases
  • Neo4j
  • Analytics
  • Kubernetes
  • Apache Spark
  • Distributed Computing
  • Database
  • Professional Development
  • Personal Digital Assistant
  • Leadership
  • Life Insurance
  • Collaboration
  • Innovation
  • Analytical Skill
  • Software Engineering
  • Big Data

Summary

Security Clearance: Active TS/SCI with FS Polygraph required

Position

Seeking a Data Scientist to support an Intelligence Client.

What You'll Do
  • Assemble large, complex sets of data to meet functional and other requirements
  • Build models, test hypotheses, interpret, summarize, visualize, and succinctly report on data findings
  • Construct and perform complex database search queries in multiple databases using SQL and API interfaces
  • Curate and maintain data stores in support of metrics and evaluation
  • Design, build, test, maintain, and automate data collection/pipelines to optimize data delivery, and automate manual processes
  • Communicate and/or present product insights to technical and non-technical individuals

Required
  • Bachelor's Degree in Data Science, Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Quantitative Finance, Econometrics, Economics, Mathematics, Analysis, Operations Research or other related programs, with 3+ years of experience (or 3 additional years of experience in lieu of degree)
  • Proficiency with open-source programming languages (e.g. Python, R, SQL) and machine learning toolkits (e.g. pytorch, numpy, polars, scikit-learn, tensorflow, pandas)
  • Proficiency using mathematical, statistical, or other data-driven analysis
  • Proficiency with APIs; both development/update of internal APIs and use of external APIs
  • Experience with data manipulation, analysis, analytic/business insight tools, and data visualization
  • Experience in applying qualitative and quantitative data analysis methods to analytics problems
  • Critical thinking and problem-solving skills for datasets which are unstructured
  • Ability to, or demonstrated experience, obtain structured and unstructured data from multiple sources, synthesizing it, and then presenting the results effectively and concisely in written and graphic form to internal and external stakeholders.
  • Ability to, or demonstrated experience, interacting with customers to coordinate requirements and resolve data questions
  • Proficiency working independently or as a member of a team to research, organize, and analyze information
  • Must have strong interpersonal and communication skills

Desired
  • Experience with transforming, manipulating, and combining data using a programming language, such as Python
  • Experience with using git, or similar version control systems
  • Experience with extract, transform and load (ETL) development for data ingest pipelines
  • Experience with relational databases, MySQL, NiFi, Kafka, Elastic MapReduce (EMR) Hbase, Elastic, Splunk, Spring
  • Experience with CI/CD pipelines
  • Ability to, or demonstrated experience, researching and evaluating the latest emerging technologies and applying them
  • Experience providing analytical judgement and trend analysis based on research and comparisons with past products.Experience with the Sponsor's data handling procedures
  • Experience translating customer requirements into project or system specifications

Useful Addtional Skills and Experience
  • M.S. or PhD in a quantitative or STEM related major
  • Experience with large scale ETL from multiple sources
  • Experience with AWS or cloud computing; experience developing and deploying code in a cloud-based environment.
  • Experience with Docker or containers
  • Experience with Databricks
  • Experience with Graph Databases (e.g. Neo4j, Neptune)
  • Experience with Graph Analytics
  • Experience with Kubernetes
  • Experience with Spark
  • Experience programming with distributed computing
  • Demonstrated experience working with sponsor business or mission data, sponsor applications, or sponsor database structures

Pay
  • Target Salary Range: $109,000 to $200,000. The salary range listed represents the anticipated compensation for this position. Actual compensation will be determined based on the selected candidate's experience, qualifications, skills, and other relevant factors

What You'll Love About Apogee
  • Challenging work in support of US Intel Community - a Mission that Matters!
  • Access to our cool ApogeePlex facility
  • Support for new ideas & encouragement to take risks
  • Professional Development Assistance (PDA)
  • Wicked smart and collaborative coworkers
  • Regular interfacing with company leadership
  • 401(k) with huge company match
  • Paid Time Off / Fixed & Floating Holidays
  • Medical, Dental, Vision
  • Health Savings Accounts / Dependent Care Flexible Spending Accounts
  • Life Insurance, Disability (Short and Long Term), Accidental Death and Dismemberment (AD&D)

Apogee's Mission
  • Be the PROVIDER of choice for government & commercial organizations with an unwavering commitment to responsiveness, accuracy, integrity, collaboration, and innovation
  • Be the EMPLOYER of choice committed to an open & transparent corporate atmosphere and progressive culture that attracts and empowers world class professionals to explore cutting-edge technical solutions while fostering professional growth
  • Be the preferred SOURCE for cutting-edge Analytic Products, Systems & Software Engineering, Big Data Integration, IT and Business Services that directly contribute to customer success

Apogee Integration is an Equal Opportunity Employer
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10358402
  • Position Id: 6b59c9c9c4123055136da9523b11b866
  • Posted 5 days ago
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