Isys Technologies

Journeyman Data Scientist

Isys Technologies • $85K — $115K *
Omaha, NE 68104In-Person
Aerospace & Defense
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field; Master's preferred.
  • 3-7 years of experience in data science, analytics, or related fields.
  • Experience with large-scale datasets and production environments.
  • Proven ability to deliver analytics solutions that influence business outcomes.
  • Familiarity with cloud and big data platforms.

Responsibilities

  • Collect, clean, and prepare data from various sources.
  • Conduct exploratory data analysis to uncover trends and anomalies.
  • Develop and deploy machine learning and statistical models.
  • Create predictive analytics solutions to meet business objectives.
  • Design and maintain data pipelines and analytical workflows.
  • Build visualizations and reports to present findings.
  • Validate and enhance model performance.

Benefits

  • Opportunities for professional development and mentorship.
  • Collaborative work environment with cross-functional teams.
  • Exposure to diverse projects impacting various business units.
  • Participation in code reviews and knowledge-sharing sessions.
  • Alignment with industry standards for governance and security.
Full Job Description
Minimum Clearance Required

Secret

Responsibilities

Journeyman Data Scientist:

A Journeyman Data Scientist is typically a mid-level professional who works independently on data science projects, develops predictive models, analyzes complex datasets, and collaborates with stakeholders to support business decisions.

Job Duties
  • Collect, clean, and prepare structured and unstructured data from multiple sources.
  • Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
  • Develop, test, and deploy machine learning and statistical models.
  • Create predictive analytics solutions to support operational and strategic objectives.
  • Design and maintain data pipelines and analytical workflows.
  • Build dashboards, reports, and visualizations to communicate findings.
  • Validate model performance and recommend improvements.
  • Conduct data quality assessments and ensure data integrity.
  • Document methodologies, code, and analytical processes.
  • Support business units by translating complex data into actionable insights.


Qualifications

Technical Responsibilities
  • Apply statistical analysis, machine learning, and data mining techniques.
  • Develop algorithms and predictive models using programming languages such as Python, R, or SQL.
  • Work with large datasets using cloud and big data platforms.
  • Optimize model accuracy, scalability, and performance.
  • Implement model monitoring and maintenance procedures.
Business Responsibilities
  • Partner with business stakeholders to understand requirements and objectives.
  • Present findings and recommendations to technical and non-technical audiences.
  • Support data-driven decision-making across departments.
  • Identify opportunities for process improvement and automation.
Team Responsibilities
  • Collaborate with data engineers, software developers, analysts, and project managers.
  • Mentor junior data scientists and analysts.
  • Participate in code reviews and knowledge-sharing activities.
  • Follow organizational standards, governance, and security requirements.
Required Experience

Clearance Required: Secret or TS/SCI (not sure on this yet)
Education
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
  • Master's degree preferred for some organizations.
Professional Experience
  • Typically 3-7 years of experience in data science, analytics, machine learning, or a related field.
  • Experience working with large-scale datasets and production environments.
  • Proven track record of delivering analytical solutions that drive business outcomes.
Technical Skills
  • Programming: Python, R, SQL.
  • Machine Learning: Scikit-learn, TensorFlow, PyTorch, XGBoost.
  • Data Visualization: Tableau, Power BI, Matplotlib, Plotly.

About Isys Technologies

ISYS Technologies is an information technology services company that provides engineering, integration, and sustainment services to government and commercial clients. ISYS Technologies is headquartered in Colorado and has offices in Virginia, Maryland, and Washington. ISYS Technologies' services include systems engineering, software development, cybersecurity, and data analytics. ISYS Technologies' clients come from a variety of industries, including aerospace, defense, and intelligence. ISYS Technologies was founded in 2004 and has grown to become one of the fastest-growing companies in the United States.
Learn more about Isys Technologies
Size
650 employees
Industry
Information Technology
Net Income
$5 million
Founded
2004
5 Year Trend
+50%
Revenue
$100 million
* Ladders Estimates

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