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Overnight Data Science Physics Jobs in Raleigh, NC

REQUIREMENTS A Bachelor's Degree or higher in Electrical Engineering, Computer Engineering, Computer Science, or Physics is required. Relevant technical experience in data science, machine learning ...

REQUIREMENTS A Bachelor's Degree or higher in Electrical Engineering, Computer Engineering, Computer Science, or Physics is required. Relevant technical experience in data science, machine learning ...

REQUIREMENTS A Bachelor's Degree or higher in Electrical Engineering, Computer Engineering, Computer Science, or Physics is required. Relevant technical experience in data science, machine learning ...

We develop and support a rich array of outstanding health sciences research programs, centers and ... Provide clinical radiation therapy physics services for IMRT/VMAT, IGRT, SBRT, SRS and ...

... exposure data. * Participates in the implementation of the organization's radiation protection ... S. in physics, health physics, medical physics, or related scientific field relevant to the ...

... exposure data. * Participates in the implementation of the organization's radiation protection ... S. in physics, health physics, medical physics, or related scientific field relevant to the ...

... exposure data. * Participates in the implementation of the organization's radiation protection ... S. in physics, health physics, medical physics, or related scientific field relevant to the ...

... exposure data. * Participates in the implementation of the organization's radiation protection ... S. in physics, health physics, medical physics, or related scientific field relevant to the ...

We develop and support a rich array of outstanding health sciences research programs, centers and ... The successful candidate will provide clinical radiation therapy physics services for UNC's IMRT ...

Physical AI Senior Manager

Raleigh, NC

$123K - $162K/yr

Lead and mentor multi-disciplinary teams: data science, ML engineering, software and edge, vision ... Simulation, digital twins, physics-based modeling for factories, lines, cells, warehousing, and ...

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Overnight Data Science Physics information

Can data scientists make $300k?

Data scientists, including those working in specialized fields like physics or with advanced skills in machine learning and big data, can earn $300,000 or more at senior levels or in high-paying industries such as finance or technology. Achieving this salary typically requires extensive experience, advanced degrees, and proficiency with tools like Python, R, and cloud platforms. Entry-level or mid-career data scientists usually earn less than this amount.

Can a physics major be a data scientist?

Yes, a physics major can become a data scientist, as the field values strong analytical, mathematical, and programming skills often developed in physics programs. Additional knowledge of data analysis tools like Python, R, and machine learning techniques can enhance their qualifications for data science roles.

Is 40 too late for data science?

Age is not a barrier to entering data science, including roles like overnight data science positions. Success depends on skills, experience, and continuous learning; many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and machine learning tools.

What is the difference between Overnight Data Science Physics vs Data Analyst?

AspectOvernight Data Science PhysicsData Analyst
Required CredentialsDegree in Physics, Data Science, or related field; programming skillsBachelor's in Statistics, Economics, or related field; analytical skills
Work EnvironmentTech companies, research labs, finance firms; often shift-basedCorporate offices, consulting firms; regular business hours
Industry UsageData-driven research, modeling, and simulation in physics and techBusiness insights, reporting, and data visualization across industries
Search & Comparison IntentUnderstanding job differences, qualifications, or shift workCareer planning, role comparison, or job requirements

Overnight Data Science Physics roles focus on applying physics principles to data modeling, often requiring advanced technical skills and shift work. Data Analysts typically handle business data analysis during regular hours, emphasizing reporting and visualization. Both roles involve data handling but differ in industry focus, work hours, and required expertise.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data features. Data scientists often focus on the most impactful features or data subsets to optimize model performance and reduce complexity.
What are the most commonly searched types of Data Science Physics jobs in Raleigh, NC? The most popular types of Data Science Physics jobs in Raleigh, NC are:
What job categories do people searching Overnight Data Science Physics jobs in Raleigh, NC look for? The top searched job categories for Overnight Data Science Physics jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Overnight Data Science Physics jobs? Cities near Raleigh, NC with the most Overnight Data Science Physics job openings:
Director, GenAI Technology

Director, GenAI Technology

Fidelity Investments

Durham, NC • On-site

$126K/yr

Full-time

Medical, Retirement, PTO

Posted 22 days ago


Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 266 frontline employees who took The Breakroom Quiz

17th of 148 rated financial services


Job description

Job Description:Note: Fidelity will not provide immigration sponsorship for this positionThe RoleThis is an individual contributor applied GenAI engineer/data science (with a focus on GenAI) role. The GenAI Technology team within Fidelity's Asset Management Technology is looking for a motivated applied GenAI engineer/data scientist with proven experience in machine learning, GenAI-related projects, application building and data science. In this role, the individual leads machine learning projects with diverse scope and complex business and technical challenges. Coordinates with senior business and technology partners to develop solutions to the most complex business analytical needs. Oversees end-to-end process to push code from research to production. Delivers results with clear and measurable impact to the business. Consults with senior business and technology partners to identify priorities and establish analytic goals. Executes on direction for data identification, collection and qualification activities. Presents reports and findings to senior technical and non-technical audiences. Enjoys collaboration and revels in working as part of a team to solve deep applied problems.

You will have:

PhD or Master's in Data Science, Computer Science, Statistics, Physics, or Finance (with a background in Statistics), with 4 years plus of industrial experience.

Experience working with LLMs for solving data science problems, information retrieval applications, clustering, and coding

Deep expertise in Python, as well as data-centric techniques including engineering principles for building efficient inference tools

Experience taking an application from research to production and realizing measurable value from it to the team or firm

Ability to work on and drive progress for multiple projects at the same time

Experience guiding business on identifying AI/ML use cases and optimally contributing to brainstorming sessions

Desires to create a climate that values and rewards contributions, drive, ownership, initiative, and achievement of results

Excellent planning, project management, leadership, and research skills

Experience communicating results to business stakeholders with a focus on clear, concise, and understandable delivery including conveying statistical findings through data visualizations

Enthusiasm for learning new skills and domains, including applying state-of-the-art ML research and LLMs to real-world data challenges

The Team

We are a GenAI technology team within the Quantitative Research and Investment Technology division in the Asset Management vertical. We partner with investment professionals, portfolio managers, analysts, quants, traders, and other technology teams to build AI/ML solutions that provide insight and drive measurable value. We focus on applied problems that can be taken from research to production. We enjoy learning new skills and appreciate the challenges that come from working with state of the art AI models.

Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.

The base salary range for this position is $126,000-255,000 USD per year.

Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors.

Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.

We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.

Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

Certifications:Category:Data Analytics and Insights

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