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Data Science Phd Jobs in Nebraska (NOW HIRING)

Data Scientist

Omaha, NE ยท On-site +1

... science concepts * Comfortable taking ambiguous ideas and turning them into data-driven solutions Highly Qualified Candidates Will Also Possess These Qualifications: * Graduate degree (MSc or PhD) in ...

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Data Scientist (SME)

Offutt Air Force Base, NE ยท On-site

$135K - $216K/yr

Develop and implement data science solutions to support ISR operations and decision-making ... Phd * Technical Expertise: * Proficiency in data analysis , machine learning , and statistical ...

Data Scientist (SME)

Offutt Air Force Base, NE ยท On-site

$135K - $216K/yr

Develop and implement data science solutions to support ISR operations and decision-making ... Phd * Technical Expertise: * Proficiency in data analysis , machine learning , and statistical ...

Advanced degree (MS or PhD) in AI, machine learning, data science, or related field * Experience developing AI-enabled automation frameworks or platforms supporting mission workflows * Experience ...

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Data Science Phd information

What can you do with a doctorate in data science?

A doctorate in data science prepares individuals for advanced roles such as data scientist, research scientist, or machine learning engineer, often involving complex data analysis, modeling, and algorithm development. It enables expertise in programming languages like Python or R, statistical methods, and data management tools, opening opportunities in academia, industry, and research institutions.

What are the key skills and qualifications needed to thrive as a Data Science PhD, and why are they important?

To thrive as a Data Science PhD, you need advanced expertise in statistics, machine learning, data analysis, and a doctoral degree in a quantitative field. Proficiency in programming languages like Python or R, experience with big data frameworks (e.g., Spark, Hadoop), and familiarity with data visualization tools are typically required. Critical thinking, problem-solving, and strong communication skills help you translate complex data insights for diverse stakeholders. These skills are vital for driving innovative research, making data-driven decisions, and contributing impactful solutions in data-centric environments.

Is PhD worth it for data science?

A PhD in data science can enhance expertise in advanced analytics, research, and specialized skills, which may lead to higher-level roles and increased salary potential. However, it also requires significant time and financial investment, and many data science positions value practical experience and skills in programming, machine learning, and data manipulation over formal degrees.

What is the salary of a PhD in data scientist?

A Data Science PhD typically earns between $100,000 and $150,000 annually, depending on experience, industry, and location. Advanced degrees and expertise in machine learning, statistical analysis, and programming tools like Python or R can lead to higher compensation, especially in tech and research sectors.

What are some common challenges faced by Data Science PhDs when transitioning from academia to industry roles?

Data Science PhDs often encounter challenges such as adapting to the faster pace and collaborative nature of industry projects compared to academic research. In industry, there is a greater emphasis on delivering practical solutions within tight deadlines and working closely with cross-functional teams like engineering and product management. Additionally, data science work in industry may require balancing technical rigor with business impact, often prioritizing actionable insights over exhaustive analysis. Building strong communication and stakeholder management skills can help ease this transition.

Is 40 too late for data science?

Data science PhDs can pursue careers at any age, including at 40 or older. Success depends on skills, experience, and continuous learning in areas like programming, statistics, and machine learning, rather than age alone.

What is a Data Science PhD?

A Data Science PhD is a doctoral-level degree focused on advanced research in data science, which combines elements of statistics, computer science, and domain expertise. Students in a Data Science PhD program typically work on developing new methods for analyzing large datasets, creating machine learning algorithms, and addressing complex problems in areas such as artificial intelligence, data mining, and predictive analytics. Graduates are prepared for careers in academia, research, and industry, where they can lead data-driven projects and contribute to advancements in the field.
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What job categories do people searching Data Science Phd jobs in Nebraska look for? The top searched job categories for Data Science Phd jobs in Nebraska are:
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Data Scientist

Data Scientist

Webforge

Omaha, NE โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

New


Job description

15000 Valmont Plaza Omaha Nebraska 68154

Why Valmont

We're Here to Move the World Forward.

Valmont impacts millions of people around the world every day, yet they might not realize the many ways. Our technology is helping feed the growing population, supplying the world with more reliable energy and access to renewables, enhancing connectivity in remote and urban locations to create a sustainable future and so much more. Simply put, Valmont is advancing agricultural productivity and reimagining vital infrastructure to make life better.

Join a Fortune 1000 company that respects hard work, honors diversity and invests in our employees as we focus on creating the world of tomorrow, today. We are the modern workforce. Are you ready to move the world forward? Apply now.

A Brief Summary of This Position:

Valmont is seeking a talented individual to join our growing data science team within our shared services division. This position will write production level code, collect data, and generate predictions for various business units at Valmont Industries. Other tasks include hypothesis testing, cleaning large datasets, creating machine-learning models, and automating various processes. While in this role, you will help guide and implement data pipelines from data collection to creating interactive dashboards for stakeholders. This position will also be tasked with thinking outside the box with innovative solutions to traditional problems. The data scientist will also be responsible with sharing best practices and trainings to the rest of the organization.

Essential Functions:

  • This role requires up to 10-15% travel domestically, including overnight stays

  • Use code (Python or R) to solve problems with guidance from business leaders

  • Build and test machine learning models with open source and internally built tools

  • Take on ad hoc projects as business needs change

  • Optimize and assist development of current projects

  • Assist with the development of automation processes

Other Important Details about the Role:

  • Collaborate with other data scientists, subject matter experts, and data engineers to develop new data products

  • Collect third party and experimental data via APIs, web scraping, etc.

  • Research cutting edge and emerging technologies that can improve current business processes

  • Construct dynamic dashboards to present insights to stakeholders (Power BI, Tableau, or Plotly)

  • Test theories against data to help the business make sound decisions

  • Train peers on best data science practices and help cultivate a 'data-driven' culture

Required Qualifications of Every Candidate:

  • Preferred Bachelor's or Associate's Degree with 3+ years relevant experience or 5+ years of relevant experience in Data Science, Statistics, Economics, Computer Science, Mathematics, Physics, Finance, or any quantitative discipline

  • Proficient in python or R; SQL a plus

  • Understanding of data warehouses and relational databases

  • Experience with regression, classification, and applied statistics/probability

  • Knowledge of implementing and maintaining machine learning algorithms

  • Ability to communicate complex insights to a general audience

  • Enthusiasm to research and apply data science concepts

  • Comfortable taking ambiguous ideas and turning them into data-driven solutions

Highly Qualified Candidates Will Also Possess These Qualifications:

  • Graduate degree (MSc or PhD) in a quantitative discipline

  • Experience working with financial data or in a manufacturing environment

  • Experience with the Databricks platform

Benefits

Valmont offers employees and their families a comprehensive Total Wellbeing benefit package to ensure their individual and family's overall wellness needs are met. Some offerings are dependent upon the role, work schedule, or location and can include the following:

  • Healthcare (medical, prescription drugs, dental and vision)

  • 401k retirement plan with company match

  • Paid time off

  • Employer paid life insurance

  • Employer paid short-term and long-term disability including maternity leave

  • Work Life Support

  • Tuition Reimbursement up to $5,250 per year

  • Voluntary programs like tobacco cessation, Type 2 diabetes reversal, one-on-one health coaching, mortgage services and more

Valmont does not discriminate against any employee or applicant in employment opportunities or practices on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, veteran status, disability or any other characteristic protected by law. ย Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

If you have a disability and require any assistance in filling out the application for employment email EEOCompliance@Valmont.com.