Data Scientist

Overview

On Site
Full Time

Skills

Telecommuting
Workflow
POC
Innovation
Exceed
Forecasting
Data Mining
Data Cleansing
Data Quality
Dashboard
Natural Language Processing
Unstructured Data
Text Mining
Algorithms
Pattern Recognition
Clustering
Regulatory Compliance
Privacy
Business Intelligence
Research
Analytical Skill
Java
C++
Python
Apache Spark
SQL
Data Wrangling
Data Visualization
Database Administration
Cloud Computing
Data Governance
Standard Operating Procedure
Presentations
Leadership
Decision-making
Risk Assessment
Collaboration
Management
Articulate Storyline
Security Clearance
Mergers and Acquisitions
Business Analytics
Business Analysis
Microsoft Office
Microsoft PowerPoint
Data Science
Communication
Attention To Detail
Switches
Statistics
Probability
Amazon Web Services
DoD
Adobe AIR
Data Analysis
Analytics
Artificial Intelligence
Machine Learning (ML)
Advanced Analytics
SAS
Databricks
SAP BASIS
Law
FOCUS

Job Details

Job Description

ECS is seeking a Data Scientist to work in our Lackland, TX office. (Situational telework) Please Note: This position is contingent upon additional funding.

The successful candidate is expected to accomplish the following outcomes during the first year in the position:
  • Formally track all tasks, to include: assigned by, suspense, status, and comments on all assigned tasks through completion and be prepared to brief upon request.
  • Develop digital continuity folders and files that include standard operating procedures, workflows and POC lists to accomplish all tasks.
  • Create 2-3 products beyond the client's requirements that positively impact the client to either increase efficiency, effectiveness, or innovation.
  • Master position tasks within 60 days and exceed requirements within 90 days.
  • Analyze complex datasets using statistical and machine learning techniques to extract insights and patterns.
  • Develop predictive models for forecasting, anomaly detection, and risk assessment.
  • Collaborate with SMEs to understand domain-specific data and requirements for analysis.
  • Implement data mining and exploratory data analysis techniques to uncover hidden trends and correlations.
  • Perform data cleansing and preprocessing to ensure data quality and integrity.
  • Create data visualizations and interactive dashboards to present findings and insights.
  • Apply natural language processing (NLP) techniques for unstructured data analysis and text mining.
  • Develop algorithms for pattern recognition, clustering, and classification of data.
  • Communicate findings and recommendations to stakeholders through reports, presentations, and data storytelling.
  • Ensure compliance with data privacy, security and ethical guidelines in data analysis and model development.
  • Collaborate with data engineers to access, integrate and preprocess data for analysis purposes.
  • Provide expertise in advanced analytics and data science techniques to support decision-making and mission-critical operations. Staying current with the latest developments in data science, machine learning, and artificial intelligence to apply innovative approaches to data analysis.
  • Conduct sector, industry, and company-level primary research leveraging business intelligence tools to uncover and evaluate industry trends.
  • Assist in development and authoring of research reports;
  • Leverage clear analytic judgment to deliberately interact with USG stakeholders, corporate entities, investors, and industry associations to generate reports and Air Force insights.


Required Skills

  • Minimum of ten (10) years of work-related experience.
  • Of those 10 years, six (6) years of work-related experience supporting a component of the DoD.
  • Development experience in mid-level languages, like Java, C++, Python, or SQL
  • Proficiency in Python.
  • Experience with Spark, DataBricks, and Structured Query Language (SQL)
  • Experience in Data wrangling, Machine Learning, Data Visualization, Database Management, Cloud Computing, and Data Governance.
  • Experience documenting decision charts, processes, and standard operating procedures
  • Experience building briefings and materials and presenting at varying levels of leadership, peers, and program stakeholders.
  • Experience in analyzing large datasets, developing predictive models, and creating data driven solutions for decision making.
  • Experience analyzing complex datasets using statistical and machine learning techniques to extract insights and patterns.
  • Experience developing forecasts, anomaly detection and risk assessments.
  • Excellent written and verbal communications.
  • Experience with stakeholder collaboration,, management, and briefings.
  • Advanced ability to evaluate and synthesize multiple sources of information to creatively inform decision options that consider various outcomes; demonstrate the ability to combine diverse ideas, problem sets, solutions, and outcomes into a singular storyline that can inform and be absorbed by experts and novices alike.
  • Certifications: Data Science Council of America (DASCA) or Open Certified Data Scientist (Open CDS) (preferred)
  • Clearance: TS/SCI
  • Education: MA/MS (or a BA/BS plus an additional 10 Years of work experience, 4 of which must be work-related)


Desired Skills

  • Advanced proficiency in Microsoft Office Software, specifically PowerPoint
  • Minimum of 3 years of experience in a data science or equivalent field.
  • Excellent oral, written, and interpersonal communication skills
  • Experience with Department of Defense (DoD) and/or AF administrative processes (preferred)
  • Ability to work under pressure and meet deadlines in a rapidly changing and demanding environment.
  • Detail oriented, flexible, ability to context switch.
  • Strong understanding of statistics and probability
  • Knowledge of Amazon AWS capabilities and infrastructure
  • Knowledge of various DoD systems, data platforms, and DITMAC reportable thresholds (preferred).
  • Knowledge of DoD and DAF Insider Threat Policies and Regulations (preferred).
  • Knowledge of DoD and DAF data related laws, regulations, and policies (preferred).
  • Experience supporting the Air Force (preferred).
  • Multiple data analysis languages, methods, and tool expertise (preferred)
Desired Certifications:
  • Certified Analytics Professional (CAP)
  • SAS Certified Professional: AI and Machine Learning (preferred)
  • SAS Certified Advanced Analytics Professional (preferred)
  • SAS Certified Data Scientist (preferred)
  • DataBricks Certified Data Engineer Professional (preferred)

ECS is an equal opportunity employer and does not discriminate or allow discrimination on the basis any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local jurisdiction law.

ECS is a leading mid-sized provider of technology services to the United States Federal Government. We are focused on people, values and purpose. Every day, our 3800+ employees focus on providing their technical talent to support the Federal Agencies and Departments of the US Government to serve, protect and defend the American People.
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.