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At Home Data Scientist Risk Jobs in Providence, RI

Soccer Data Analyst

Foxboro, MA · On-site

$58K - $68K/yr

Develop, maintain, document, and optimize analytical code, data pipelines, and data science ... The employee is occasionally required to reach with hands and arms, bend at the knees * Specific ...

Field Scientist

Providence, RI

$75K - $99K/yr

Prepare applicable permit applications, risk assessments and technical documents including ... Terracon's vision of "Together, we are best at people" is demonstrated through our excellent ...

ENGINEER or SCIENTIST

Newport, RI · On-site +1

$101K - $156K/yr

... data related to those systems. * You will be responsible for working with and leading a project ... Your resume must demonstrate at least one year of qualifying experience (or performing competencies)

New

Showing results 21-40

At Home Data Scientist Risk information

See Providence, RI salary details

$37.9K

$124K

$198.5K

How much do at home data scientist risk jobs pay per year?

As of Aug 21, 2026, the average yearly pay for at home data scientist risk in Providence, RI is $123,994.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,500.00 and $137,400.00 per year, depending on experience, location, and employer.

What is the difference between At Home Data Scientist Risk vs At Home Data Analyst Risk?

AspectAt Home Data Scientist RiskAt Home Data Analyst Risk
Required CredentialsTypically requires a master's or Ph.D. in data science, statistics, or related fieldsUsually requires a bachelor's degree in data analysis, statistics, or related areas
Work EnvironmentRemote, often involves complex modeling and predictive analyticsRemote, focuses on data interpretation and reporting
Employer & Industry UsageUsed in tech, finance, healthcare for advanced analyticsCommon in retail, marketing, and business sectors for reporting

The main difference between At Home Data Scientist Risk and At Home Data Analyst Risk lies in the complexity of tasks and required credentials. Data Scientists typically handle advanced modeling and require higher education, while Data Analysts focus on data reporting and analysis with more accessible qualifications. Both roles are remote and industry-specific, but Data Scientists often work on predictive analytics, whereas Data Analysts interpret existing data for decision-making.

What are the most commonly searched types of Data Scientist Risk jobs in Providence, RI?

The most popular types of Data Scientist Risk jobs in Providence, RI are:

What are popular job titles related to At Home Data Scientist Risk jobs in Providence, RI?

For At Home Data Scientist Risk jobs in Providence, RI, the most frequently searched job titles are:

What job categories do people searching At Home Data Scientist Risk jobs in Providence, RI look for?

The top searched job categories for At Home Data Scientist Risk jobs in Providence, RI are:

$101K/yr

Part-time

Posted 2 days ago

New


Job description

This is a detail opportunity open to Department of Navy permanent civilian employees in the competitive service currently at the ND-04 pay band (GS-12 /13 equivalency) or higher. The selectee will be placed on a temporary detail not to exceed 1 year.
The detailee for this position will serve as an ENGINEER or SCIENTIST in the office of Naval Undersea Warfare Center, Newport DivisionQualifications:This is an interdisciplinary position and may be filled by a Computer Engineer (0854-series), a Chemical Engineer (0893 series), a Mathematics (1520-series), a Computer Scientist (1550 series) or a Data Scientist (1560 series), depending upon the qualifications of the candidate. Applicants in positions with occupational series other than those listed (0854, 0893, 1520, 1550, 1560) may apply; however, you must apply directly to the series listed in this vacancy that is most applicable to your qualifications.
In order to qualify for this position, your resume must provide sufficient experience and/or education, knowledge, skills, and abilities to perform the duties of the specific position for which you are being considered. Your resume is the key means we have for evaluating your skills, knowledge, and abilities as they relate to this position. Therefore, we encourage you to be clear and specific when describing your experience.
Your resume must demonstrate at least one year of qualifying experience (or performing competencies).
You will receive credit for all qualifying experience, including volunteer and part time experience. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week.
Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., professional, philanthropic, religious, spiritual, community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment.Education:Applicants must meet at least one of the following positive education qualifications requirements of the Office of Personnel Management (OPM) Qualifications Standards Manual:
0801:
Professional Engineering Series (08XX) - Degree: A professional engineering degree from an ABET-accredited college or university; OR a degree with curriculum in differential and integral calculus, with additional courses in five of the following seven areas of engineering science or physics: (a) statics, dynamics; (b) strength of materials (stress-strain relationships); (c) fluid mechanics, hydraulics; (d) thermodynamics; (e) electrical fields and circuits; (f) nature and properties of materials (relating particle and aggregate structure to properties); and (g) any other comparable area of fundamental engineering science or physics, such as optics, heat transfer, soil mechanics; or electronics; OR
Professional Engineering Series (08XX) - Substitution of Education/Experience:
A combination of education and experience that furnished (1) a thorough knowledge of the physical and mathematical sciences underlying professional engineering; and (2) a good understanding, both theoretical and practical, of the engineering sciences and techniques and their applications to one of the branches of engineering. The adequacy of such background must be demonstrated by one of the following: (a) professional registration, (b) evidence of successfully passing the Engineer-in-Training (EIT) examination; (c) successful completion of at least 60 semester hours of courses in the physical, mathematical, and engineering sciences and in engineering that included the courses specified above; or (d) successful completion of a curriculum leading to a bachelor's degree in engineering technology or in an appropriate professional field, e.g., physics, chemistry, architecture, computer science, mathematics, hydrology, or geology, may be accepted in lieu of a degree in engineering provided that it included at least 1 year of professional engineering experience acquired under professional engineering supervision and guidance. (Note to Applicants: Please see the Qualifications & Education sections of this announcement for a link to the Office of Personnel Management (OPM) Individual Occupational Requirements. OPM guidance indicates that there should be either an established plan of intensive training to develop professional engineering competence, or several years of prior professional engineering-type experience. This training plan or experience must be well documented and provided at time of application.);

1520:
Degree: mathematics; or the equivalent of a major that included at least 24 semester hours in mathematics. OR,Combination of education and experience: courses equivalent to a major in mathematics (including at least 24 semester hours in mathematics), as shown in A above, plus appropriate experience or additional education.ANDThe total course work in either option above must have included differential and integral calculus and, in addition, four advanced mathematics courses requiring calculus or equivalent mathematics courses as a prerequisite.
1550:
Degree: Bachelor's degree in computer science or bachelor's degree with 30 semester hours in a combination of mathematics, statistics, and computer science. At least 15 of the 30 semester hours must have included any combination of statistics and mathematics that included differential and integral calculus. All academic degrees and course work must be from accredited or pre-accredited institutions.
1560:
Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.ORCombination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in the paragraph above, plus additional education or appropriate experience.

Employment Type: OTHER