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Assistant Data Scientist Forecasting Jobs in Nebraska

Agile Defense

Data Scientist

Omaha, NE · On-site

... that forecast business outcomes and identify growth opportunities Apply advanced statistical ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

HDR

Assistant Data Center Project Manager

Omaha, NE · On-site

Role Description HDR is looking for a Datacenter Assistant Project Manager whose experience focuses ... Experience or ability to become proficient in using Revit * Healthcare, Data Center, Science and ...

HDR

Assistant Data Center Project Manager

Omaha, NE · On-site

Role Description HDR is looking for a Datacenter Assistant Project Manager whose experience focuses ... Experience or ability to become proficient in using Revit * Healthcare, Data Center, Science and ...

HDR

Assistant Data Center Project Manager

Omaha, NE

Role Description HDR is looking for a Datacenter Assistant Project Manager whose experience focuses ... Experience or ability to become proficient in using Revit * Healthcare, Data Center, Science and ...

HDR

Assistant Data Center Project Manager

Omaha, NE · On-site

Role Description HDR is looking for a Datacenter Assistant Project Manager whose experience focuses ... Experience or ability to become proficient in using Revit * Healthcare, Data Center, Science and ...

HDR

Assistant Data Center Project Manager

Omaha, NE · On-site

Role Description HDR is looking for a Datacenter Assistant Project Manager whose experience focuses ... Experience or ability to become proficient in using Revit * Healthcare, Data Center, Science and ...

Brookfield

P&C Data Analyst

Omaha, NE

... * Assist in evaluating the impact of underwriting, pricing, and product changes on business ... Support data science and predictive modeling initiatives through data preparation, feature ...

DMSi Software

Data Services Analyst

Omaha, NE

Use AI tools and assistants as a standard part of daily work to increase efficiency and contribute ... College degree in Data Science, Computer Information Systems (CIS), Management Information Systems ...

DMSi Software

Data Services Analyst

Omaha, NE · On-site

Use AI tools and assistants as a standard part of daily work to increase efficiency and contribute ... College degree in Data Science, Computer Information Systems (CIS), Management Information Systems ...

Monitise

Capacity Planner Data Analyst

Omaha, NE · On-site

You will develop and maintain forecasting and capacity planning models that support print ... Science, or a related field, or equivalent combination of education, related experience and/or ...

New

Deloitte

Finance Analytics & AI Senior Consultant

Omaha, NE · On-site

$111K/yr

... budgeting, forecasting, profitability, close, and consolidations * Analyze business, functional ... Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting ...

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Assistant Data Scientist Forecasting information

What are the key skills and qualifications needed to thrive as an assistant data scientist forecasting?

To thrive as an Assistant Data Scientist Forecasting, you need a solid foundation in statistics, data analysis, and forecasting methods, typically supported by a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with tools like Python, R, SQL, and forecasting libraries (e.g., Prophet, ARIMA), as well as experience with data visualization platforms, is essential. Strong problem-solving skills, attention to detail, and effective communication help you interpret complex results and present actionable insights. These competencies are crucial to generate accurate forecasts that guide business decisions and drive organizational success.

What does an assistant data scientist forecasting do?

An Assistant Data Scientist in Forecasting helps analyze historical data and uses statistical models or machine learning techniques to predict future trends or outcomes. Their tasks often include data cleaning, exploratory analysis, feature engineering, and supporting the development and validation of forecasting models. They work under the guidance of more experienced data scientists and may also help communicate results to stakeholders. This role is essential for businesses looking to make data-driven decisions about sales, inventory, demand, or other key metrics.

What are some typical challenges assistant data scientists face when working on forecasting projects?

Assistant Data Scientists in forecasting often encounter challenges such as handling incomplete or noisy datasets, selecting appropriate modeling techniques, and tuning models for accuracy. They may also need to balance competing priorities between speed and precision, especially when deadlines are tight. Close collaboration with senior data scientists and domain experts is common, as it helps ensure that forecasts are both technically sound and aligned with business goals. Developing strong communication skills is essential for presenting complex findings to non-technical stakeholders.

What is the difference between Assistant Data Scientist Forecasting vs Data Scientist Forecasting?

AspectAssistant Data Scientist ForecastingData Scientist Forecasting
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles may prefer a master'sMaster's or PhD in Data Science, Statistics, or related field; strong programming skills
Work EnvironmentSupportive team, entry to mid-level projects, supervised tasksIndependent project work, complex analysis, strategic decision-making
Employer & Industry UsageTech companies, finance, retail, healthcare; entry to mid-level rolesResearch institutions, large corporations, specialized analytics teams

The Assistant Data Scientist Forecasting role typically involves supporting forecasting projects under supervision, focusing on data preparation and basic modeling. In contrast, a Data Scientist Forecasting leads complex forecasting models, interprets results, and influences strategic decisions. The roles differ mainly in experience level, scope of responsibilities, and independence.

What are the most commonly searched types of Data Scientist Forecasting jobs in Nebraska? The most popular types of Data Scientist Forecasting jobs in Nebraska are:
Assistant Data Scientist Forecasting jobs near you

Data Scientist

Agile Defense

Omaha, NE • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

About Agile Defense
 
At Agile Defense we know that action defines the outcome and new challenges require new solutions. That's why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next.
 
Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility-leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation's vital interests.

Requisition Number: 1417
 
Title: Data Scientist
 
Clearance: DoD Active Top Secret
 
Location: Omaha, NE
 
Overview:
As a Data Scientist at Agile Defense, you will be joining a team of professionals that build AI/ML solutions. This role will help support understanding our customers, markets, and operations through advanced analytics and machine learning. You'll work closely with business leaders, product teams, and engineering to identify opportunities, test hypotheses, and build predictive models that inform critical business decisions and drive measurable impact.
 
 
Responsibilities/Duties:   
 
Drive Data-Driven Discovery
Conduct deep-dive analyses to understand customer behavior, market trends, and business performance
Design and execute sophisticated experiments to test business hypotheses and measure feature impact
Build predictive models that forecast business outcomes and identify growth opportunities
Apply advanced statistical techniques to solve complex business problems across multiple domains
 
Lead Analytics Strategy
Partner with business leaders to identify high-impact analytical opportunities and frame research questions
Influence product and business strategy through data-driven insights and recommendations. Build analytical frameworks.
Present complex findings to executive stakeholders in compelling, actionable formats
 
Build Innovative ML Solutions
Develop models for segmentation, recommendation systems, risk assessment, and optimization
Create statistical models that quantify business impact and guide resource allocation decisions
Collaborate with ML engineers to transition research models into production systems
 
Enable Advanced Analytics
Establish statistical rigor and experimental design standards across the organization
Build analytical tools and methodologies that other teams can leverage for their own insights
 
Foster Data-Driven Culture
Train and mentor stakeholders on analytical thinking and data interpretation
Communicate complex statistical concepts to non-technical audiences in understandable ways
Advocate for data quality and proper experimental design in business decision-making
Contribute to the analytical capabilities and methodologies of the broader data team
 
Required Skills - What You'll Bring:
3+ years of experience regression analysis, and building predictive models for business applications with measurable impact
Advanced statistical knowledge including experimental design, hypothesis testing, causal inference, and statistical modeling techniques
Strong programming skills in Python or R with experience in data analysis libraries and platforms like Databricks for large-scale analytics
Business acumen with proven ability to translate complex analytical findings into strategic business recommendations and actionable insights
Machine learning expertise with experience building and validating models using scikit-learn, TensorFlow, or similar frameworks on platforms like Databricks
Data analysis and visualization abilities using advanced analytics tools and integrating with business intelligence platforms (Tableau, PowerBI, Qlik)
Database and analytical platform experience with SQL, statistical software, and modern data analysis environments
 
Preferred Skills - What Would Set You Apart:
Production ML systems experience including model deployment, monitoring, and MLOps practices in cloud environments
Strong data engineering skills in Databricks, Python, PySpark, and Spark SQL with experience implementing medallion architecture and modern data platform patterns
Data architecture expertise with experience designing scalable data processing systems and implementing data governance frameworks
Experience integrating with platforms such as Qlik, Tableau, PowerBI, MAVEN Smart System (Palantir), or similar.
Experience designing and building enterprise-level dashboards, reports, and self-service analytics platforms
Analytics platform knowledge including experience with Advana
 
 
 WORKING CONDITIONS
 Environmental Conditions
 Contractor site with varied travel possible. Possible off-hours work to support releases and outages. General office environment. Work is generally sedentary in nature but may require standing and walking for up to 10% of the time. The working environment is generally favorable. Lighting and temperature are adequate, and there are not hazardous or unpleasant conditions caused by noise, dust, etc. Work is generally performed within an office environment, with standard office equipment available.
 
Strength Demands
 Sedentary - 10 lbs. Maximum lifting, occasional lift/carry of small articles.  Some occasional walking or standing may be required.   Jobs are sedentary if walking and standing are required only occasionally, and all other sedentary criteria are met.
 
Physical Requirements
 Stand or Sit; Walk; Repetitive Motion; Use Hands / Fingers to Handle or Feel; Stoop, Kneel, Crouch, or Crawl; See; Push or Pull; Climb (stairs, ladders) or Balance (ascend / descend, work atop, traverse).
 
Our Core Values
 
Employees of Agile Defense are our number one priority, and the importance we place on our culture here is fundamental. Our culture is alive and evolving, but it always stays true to its roots. Here, you are valued as a family member, and we believe that we can accomplish great things together. Agile Defense has been highly successful in the past few years due to our employees and the culture we create together. 
 
What makes us Agile? We call it the 6Hs, the values that define our culture and guide everything we do. Together, these values infuse vibrancy, integrity, and a tireless work ethic into advancing the most important national security and critical civilian missions. It's how we show up every day. It's who we are.
 
  • Happy - Be Infectious. Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do.
  • Helpful - Be Supportive. Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated.
  • Honest - Be Trustworthy. Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support.
  • Humble - Be Grounded. Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task.
  • Hungry - Be Eager. Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges.
  • Hustle - Be Driven. Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success.
 
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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