Journeyman Data Scientist

Omaha, NE, US • Posted 3 hours ago • Updated 3 hours ago
Full Time
On-site
USD $90,000.00 - 125,000.00 per year
Fitment

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Job Details

Skills

  • Unstructured Data
  • Data Analysis
  • EDA
  • Statistical Models
  • Predictive Analytics
  • Workflow
  • Dashboard
  • Data Quality
  • Data Integrity
  • Data Mining
  • Algorithms
  • Programming Languages
  • Cloud Computing
  • Big Data
  • Scalability
  • Decision-making
  • Process Improvement
  • Collaboration
  • Mentorship
  • Knowledge Sharing
  • Security Clearance
  • Computer Science
  • Statistics
  • Mathematics
  • Data Science
  • Analytics
  • Analytical Skill
  • Python
  • R
  • SQL
  • Machine Learning (ML)
  • scikit-learn
  • TensorFlow
  • PyTorch
  • XGBoost
  • Data Visualization
  • Tableau
  • Microsoft Power BI
  • matplotlib
  • Plotly

Summary

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.
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: 80183407
  • Position Id: 4ca3765775aba2500aa3ede6b6005d64
  • Posted 3 hours ago
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