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Director Data Science Analytics Jobs in Nebraska

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 ...

Our success is a direct reflection of the talented and diverse people who make a positive ... analytics applications, while providing technical leadership and leading projects. This role ...

Data Science Tutor

Omaha, NE · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Data Science Tutor

Lincoln, NE · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Five years of relevant experience in data science, analytics, pricing, actuarial, or related quantitative roles. A master's degree may be considered in lieu of one to two years of experience

You'll collaborate with engineering, analytics, governance, and business teams to drive adoption ... Bachelor's degree required, preferably in Computer Science, Information Systems, or a related ...

SME Data Scientist

NE

$140K - $160K/yr

In this role, you will be responsible for software development and design for Artificial Intelligence and Machine Learning systems, model creation, data science / analytics, and interaction with ...

In this role, you will be responsible for software development and design for Artificial Intelligence and Machine Learning systems, model creation, data science / analytics, and interaction with ...

In this role, you will be responsible for software development and design for Artificial Intelligence and Machine Learning systems, model creation, data science / analytics, and interaction with ...

SME Data Scientist

NE · On-site

$140K - $160K/yr

In this role, you will be responsible for software development and design for Artificial Intelligence and Machine Learning systems, model creation, data science / analytics, and interaction with ...

Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal simulation capabilities by mentoring others and advancing the broader data science community. Your Work:

Job Title: Director, Data Governance Reports to: Chief Digital & Data Officer Location: United ... analytics initiatives. Your work will empower the business to make data-driven decisions with ...

Analyzing data that is collected in our current and future products and services, Develop ... QUALIFICATIONS: • Completed Post Secondary Degree in Data Science, Mathematics or Statistics ...

This role requires strong technical expertise in data science methodologies, machine learning model ... Direct experience developing, testing, and deploying Machine Learning models. * Expertise with:

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Director Data Science Analytics information

What are the most commonly searched types of Data Science Analytics jobs in Nebraska? The most popular types of Data Science Analytics jobs in Nebraska are:
What cities in Nebraska are hiring for Director Data Science Analytics jobs? Cities in Nebraska with the most Director Data Science Analytics job openings:

Journeyman Data Scientist

Isys Technologies

Omaha, NE • On-site

Full-time

Re-posted 11 days ago


Job description

Minimum Clearance RequiredSecretResponsibilities

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.
QualificationsTechnical 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.
Employment Type: FULL_TIME