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Senior Data Scientist Machine Learning Jobs in Nebraska

Position Title Data Scientist Sr Location Atlanta, GA 30305 Job Summary The Data Scientist Sr ... Independently perform data analytics (ranging from data analysis, regression to machine learning ...

The Data Scientist may be responsible for any of the following tasks: Analyzing data that is ... machine learning models using state of the art Machine Learning and AI technologies, Visualize ...

Journeyman Data Scientist

Omaha, NE ยท On-site

$90K - $125K/yr

A Journeyman Data Scientist is typically a mid-level professional who works independently on data ... Develop, test, and deploy machine learning and statistical models. * Create predictive analytics ...

A Journeyman Data Scientist is typically a mid-level professional who works independently on data ... Develop, test, and deploy machine learning and statistical models. * Create predictive analytics ...

Journeyman Data Scientist

Omaha, NE ยท On-site

$90K - $125K/yr

Develop, test, and deploy machine learning and statistical models. * Create predictive analytics ... Mentor junior data scientists and analysts. * Participate in code reviews and knowledge-sharing ...

Data Scientist (SME)

Offutt Air Force Base, NE ยท On-site

$135K - $216K/yr

The Data Scientist will play a critical role in leveraging advanced data analytics, machine ... Apply machine learning algorithms , statistical modeling , and predictive analytics to solve ...

Data Scientist (SME)

Offutt Air Force Base, NE ยท On-site

$135K - $216K/yr

The Data Scientist will play a critical role in leveraging advanced data analytics, machine ... Apply machine learning algorithms , statistical modeling , and predictive analytics to solve ...

This role is part of a multidisciplinary team integrating advanced analytics, machine learning, and ... data science, machine learning engineering, or data pipeline development. * Proficient in Python ...

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... This Data Scientist role offers the opportunity to help CSAA Insurance Group anticipate and prepare ...

New

Data Scientist

Omaha, NE ยท On-site +1

The data scientist will also be responsible with sharing best practices and trainings to the rest ... Build and test machine learning models with open source and internally built tools * Take on ad hoc ...

New

The candidate will serve as a senior technical advisor and lead efforts to modernize analytic ... Design and develop machine learning models, including recommendation engines and predictive systems ...

The candidate will serve as a senior technical advisor and lead efforts to modernize analytic ... Design and develop machine learning models, including recommendation engines and predictive systems ...

Amentum is seeking an AI Modeling Specialist (Senior) to support Combatant Command Operations in ... Bachelor's degree in data science, computer science, artificial intelligence, machine learning ...

... a senior technical advisor to modernize analytic tradecraft through automation and advanced ... develop machine learning models, including recommendation engines and predictive systems, to ...

Omaha, NE Overview: As a Data Scientist at Agile Defense, you will be joining a team of ... machine learning. You'll work closely with business leaders, product teams, and engineering to ...

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Senior Data Scientist Machine Learning information

How does a Senior Data Scientist specializing in Machine Learning typically collaborate with cross-functional teams?

Senior Data Scientists in Machine Learning often work closely with product managers, software engineers, and business analysts to understand project goals and translate them into actionable data solutions. They are responsible for communicating complex technical concepts to non-technical stakeholders, ensuring that ML models align with business objectives. Collaboration frequently involves participating in regular strategy meetings, reviewing data pipelines with engineering teams, and providing insights that guide product development. This cross-disciplinary teamwork is essential for successfully deploying machine learning models into production environments.

What are the key skills and qualifications needed to thrive as a Senior Data Scientist in Machine Learning, and why are they important?

To thrive as a Senior Data Scientist in Machine Learning, you need advanced expertise in statistics, programming (Python or R), and machine learning algorithms, typically backed by a relevant degree (such as in computer science or mathematics) and several years of experience. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and cloud platforms (AWS, GCP, or Azure), as well as experience with big data technologies, is essential. Strong problem-solving, communication, and project leadership skills help drive impactful solutions and foster collaboration across teams. These skills ensure the successful design, deployment, and scaling of machine learning models that deliver business value.

What is the difference between Senior Data Scientist Machine Learning vs Data Scientist?

AspectSenior Data Scientist Machine LearningData Scientist
Required CredentialsMaster's or PhD in CS, Statistics, or related field; experience with ML frameworksBachelor's or Master's in relevant field; foundational knowledge of data analysis
Work EnvironmentAdvanced analytics teams, R&D, product developmentData analysis teams, business intelligence, reporting
Employer & Industry UsageTech companies, finance, healthcare, e-commerceSimilar industries, often entry to mid-level roles

The main difference is that Senior Data Scientist Machine Learning roles require more experience, advanced skills in ML frameworks, and often involve leading projects. Data Scientists typically focus on data analysis and reporting with less emphasis on complex ML models. Senior roles also tend to involve mentorship and strategic input.

What does a Senior Data Scientist specializing in Machine Learning do?

A Senior Data Scientist in Machine Learning leads the development, implementation, and optimization of advanced statistical and machine learning models to solve business problems. They analyze large, complex datasets, design predictive algorithms, and collaborate with cross-functional teams to integrate models into production systems. Additionally, they mentor junior data scientists, contribute to setting technical strategy, and often communicate findings to stakeholders to drive data-driven decision-making.
What are the most commonly searched types of Data Scientist Machine Learning jobs in Nebraska? The most popular types of Data Scientist Machine Learning jobs in Nebraska are:
What are popular job titles related to Senior Data Scientist Machine Learning jobs in Nebraska? For Senior Data Scientist Machine Learning jobs in Nebraska, the most frequently searched job titles are:
Data Scientist Sr

Data Scientist Sr

Flagstar Bank

Atlanta, NE โ€ข On-site

Full-time

Medical, Dental, Vision, Life

Re-posted 2 days ago


Job description

Position Title

Data Scientist Sr

Location

Atlanta, GA 30305

Job Summary

The Data Scientist Sr responsibilities include independently perform data analytics (ranging from data analysis, regression to machine learning) in a variety of environments using structured and unstructured data. Present complex concepts in a format digestible by a diverse audience across the organization. Build and improve the development of metrics, reports and analysis into BI dashboards that support a wide array of banking businesses. Quickly learn complex community banking dynamics, work closely with stakeholder to understand business objectives and design data-driven solutions that create competitive differentiation. Partner across the functions, including the line of businesses, IT, Data Office, and/or third-party vendors to co-build the data foundation and analytics delivery infrastructure for the action-driven insights and reporting.

Job Responsibilities:

JOB RESPONSIBILITIES

  • Independently perform data analytics (ranging from data analysis, regression to machine learning) also guide other data scientists properly in a variety of environments using structured and unstructured data.
  • Present complex concepts in a format digestible by a diverse audience across the organization.
  • Build and improve the development of metrics, reports and analysis into BI dashboards that support a wide array of banking businesses.
  • Manage ongoing data analytics processes, document calculations, code, and adhere to proper risk and compliance practices.
  • Trouble shoot issues, suggest alternative approaches or controls to mitigate risks/gaps identified.
  • Develop and design data-driven solutions in the areas of client insights and segmentation, sales & marketing lead generation, performance analysis and product analytics.
  • Partner across the functions, including the line of businesses, IT, Data Office, and/or third-party vendors to co-build the data foundation and analytics delivery infrastructure for the action-driven insights and reporting.
  • Assume end-to-end responsibilities on key initiatives assigned, and leverage partnership to achieve the shared vision.
  • Uses independent judgement and discretion to make decisions.
  • Analyzes and resolves problems.

ADDITIONAL ACCOUNTABILITIES

  • Performs special projects, and additional duties and responsibilities as required.
  • Consistently adheres to regulatory and compliance policies and standards linked to the job as listed and complete required compliance trainings. Accountable to maintain compliance with applicable federal, state and local laws and regulations.

JOB REQUIREMENTS

Required Qualifications:

  • Education level required: Undergraduate Degree (4 years or equivalent).
  • Minimum experience required: 5+ Years relevant data engineering, data analytics, computer science, business intelligence industry experience.
  • Experience leveraging tools for ETL and data wrangling.
  • Experience programming statistical & data science languages (e.g. Excel VBA, SQL, Python, R).
  • Experience using modern visualization tool (e.g. PowerBI, Tableau).
  • Knowledge of advanced analytics (e.g. Statistical modeling, machine learning, text analytics) and big data environments.

Preferred Qualifications:

  • Education level preferred: Master's Degree (or Postgraduate equivalent) includes a Master of Business Administration (MBA) with a focus on data analytics or a Master of Science (MS) in data science, business analytics, computer engineering, etc.
  • Working knowledge of cloud computing tools on any of the major cloud platforms preferred.
  • Completion or progress towards certifications such as FRM or CFA preferred.
  • Experience with ETL tools such as Informatica, AWS, Talend, or Snowpark.
  • Knowledge of data governance, security, and compliance requirements in the banking industry.

Job Competencies:

  • Knowledge of advanced analytics (e.g. Statistical modeling, machine learning, text analytics) and big data environments.
  • Knowledge of retail and/or commercial banking.
  • Good Interpersonal, communication and presentation skills.
  • Results oriented with a strong work ethic and sense of urgency.
  • Demonstrates a strong ability to build and maintain effective relationships with stakeholders by communicating clearly, engaging in proactive collaboration, and leveraging cross functional insights.
  • Aligns relationship building efforts with enterprise goals to accelerate performance and drive strategic results.
  • Builds trusted client relationships, whether internal or external, by identifying needs and delivering tailored solutions to enhance the overall client experience.
  • Fosters or supports a positive work culture and productive work environment, displaying importance of effective relationships with customers and stakeholders.
  • Physical demands (ADA): No unusual physical exertion is involved.

Flagstar is an Equal Opportunity Employer

We are committed to providing clear and accurate compensation information in accordance with applicable laws. Actual starting base pay will be determined based on location, experience, and other non-discriminatory factors permitted by law. Total compensation may also include variable incentives, bonuses, commissions, or other awards as outlined in the offer of employment. Flagstar provides teammates access to a variety of benefits including medical, dental, vision, life, and disability insurance, as well as a comprehensive leave program. Please click the following link for detailed information:Benefits | Flagstar Bank

Pay Range

$85,218.75 - $140,390.00

Qualified applicants with arrest or conviction records will be considered for employment in accordance with the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, and the San Francisco Fair Chance Ordinance, as appliable.