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Data Scientist Analyst Jobs Near Me

ComResource is looking for a Data Scientist. Responsibilities ... Develop and validate predictive and prescriptive models using advanced analytical techniques ...

Explain advanced analytic and modeling procedures in the language that audiences with no predictive ... Data Scientist: 2 or more years of data science/predictive analytics experience in (re)insurance or ...

Data Scientist - AI Expert

Columbus, OH · On-site

$100 - $130/hr

Assess, design, build and deploy new end-to-end AI solutions incorporating analytics, ML, DL, NLP ... Strong understanding of data science, analytics, and data cleaning processes. * Ability to coach ...

DATA SCIENTIST Location: Columbus, OH (Onsite) * Data Science - 7+ yrs * SAS - 5+ * Python -5+ * ... delivery for analytical topics * 3 years in the Financial Services or Automotive Industry ...

Explain advanced analytic and modeling procedures in the language that audiences with no predictive ... Data Scientist: 2 or more years of data science/predictive analytics experience in (re)insurance or ...

You will be joining a team of analytics and data science professionals within the Enterprise Data & Analytics organization. Team members are highly skilled in a mixture of R, Python, SAS, SQL ...

Lead Data Scientist

Columbus, OH · On-site +1

$144K - $250K/yr

The Lead Data Scientist is pivotal in generating insights and supporting the enterprise's data ... Conjoint Analysis * Agentic AI Reports To : Senior Manager and above Direct Reports : 0 Work ...

Lead Data Scientist

Columbus, OH · On-site

$144K - $250K/yr

The Lead Data Scientist is pivotal in generating insights and supporting the enterprise's data ... Conjoint Analysis * Agentic AI Reports To : Senior Manager and above Direct Reports : 0 Work ...

Text analytics for competitive analysis * Product testing in field applications A strong candidate will have expertise in data science practices such as data cleaning, regression, machine learning ...

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Data Scientist Analyst information

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$5

$43

$61

How much do data scientist analyst jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for data scientist analyst in the United States is $43.58, according to ZipRecruiter salary data. Most workers in this role earn between $36.06 and $52.88 per hour, depending on experience, location, and employer.

What cities are hiring for Data Scientist Analyst jobs?

Cities with the most Data Scientist Analyst job openings:

What states have the most Data Scientist Analyst jobs?

States with the most job openings for Data Scientist Analyst jobs include:

A map of the United States highlighting the number of Data Scientist Analyst job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Data Scientist Analyst job openings in each state, with California having the most at 2 and Hawaii the least at 0.

$49K/yr

Full-time, Part-time

Re-posted 23 days ago


Job description

The PALACE Acquire Program offers you a permanent position upon completion of your formal training plan. As a Palace Acquire Intern you will experience both personal and professional growth while dealing effectively and ethically with change, complexity, and problem solving. The program offers a 3-year formal training plan with yearly salary increases. Promotions and salary increases are based upon your successful performance and supervisory approval.Qualifications:BASIC REQUIREMENT OR INDIVIDUAL OCCUPATIONAL REQUIREMENT:
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.
You may qualify if you meet one of the following:
1. GS-7: You must have completed or will complete a 4-year course of study leading to a bachelor's from an accredited institution AND must have documented Superior Academic Achievement (SAA) at the undergraduate level in the following:
a) Grade Point Average 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum.
2. GS-9: You must have completed 2 years of progressively higher-level graduate education leading to a master's degree or equivalent graduate degree:
a) Grade Point Average - 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum. If more than 10 percent of total undergraduate credit hours are non-graded, i.e. pass/fail, CLEP, CCAF, DANTES, military credit, etc. you cannot qualify based on GPA.
KNOWLEDGE, SKILLS AND ABILITIES (KSAs): Your qualifications will be evaluated on the basis of your level of knowledge, skills, abilities and/or competencies in the following areas:
1. Professional knowledge of basic principles, concepts, and practices of data science to apply scientific methods and techniques to analyze systems, processes, and/or operational problems and procedures.
2. Knowledge of mathematics and analysis to perform minor phases of a larger assignment and prepare reports, documentation, and correspondence to communicate factual and procedural information clearly.
3. Skill in applying basic principles, concepts, and practices of the occupation sufficient to perform routine to difficult but well precedented assignments in data science analysis.
4. Ability to analyze, interpret, and apply data science rules and procedures in a variety of situations and recommend solutions to senior analysts.
5. Ability to analyze problems to identify significant factors, gather pertinent data, and recognize solutions.
6. Ability to plan and organize work and confer with co-workers effectively.
PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week.
VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done through National Service Programs (i.e., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student and social). Volunteer work helps build critical competencies, knowledge and skills that can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.Education:IF USING EDUCATION TO QUALIFY: If position has a positive degree requirement or education forms the basis for qualifications, you MUST submit transcriptswith the application. Official transcripts are not required at the time of application; however, if position has a positive degree requirement, qualifying based on education alone or in combination with experience, transcripts must be verified prior to appointment. An accrediting institution recognized by the U.S. Department of Education must accredit education. Click here to check accreditation.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying.Employment Type: OTHER