Data Scientist

LACKLAND, TX, United States

ECS

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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.
Qualifications
  • 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)
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Data Science Jobs

Tags: Business Intelligence Classification Clustering Data analysis Databricks Data governance Data Mining Data quality Data visualization ECS EDA Java Machine Learning ML models NLP Privacy Python Research Security Spark SQL Statistics Unstructured data

Perks/benefits: Career development

Region: North America
Country: United States

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