1

Data Science Assistant Jobs in Ohio (NOW HIRING)

Lead Data Engineer

Columbus, OH · On-site

$60 - $68/hr

Architect, build, and maintain data pipelines Assist with modernizing the data management infrastructure to drive automation in data integration and management Partner with data science teams and ...

Lead Data Engineer

Columbus, OH · On-site

$60 - $68/hr

Architect, build, and maintain data pipelines * Assist with modernizing the data management infrastructure to drive automation in data integration and management * Partner with data science teams and ...

... users * Assist in delivering and preparing datasets for analysis, ensuring adherence to quality ... Degree in Computer Science, Machine Learning, or a related field, or equivalent practical ...

... users * Assist in delivering and preparing datasets for analysis, ensuring adherence to quality ... Degree in Computer Science, Machine Learning, or a related field, or equivalent practical ...

Develop data analytics and visualizations by applying proven, industry-standard data science ... Policy and Communications Support: Assist in supporting Policy Business Operations, including ...

... science methodologies to transform large volumes of experimental, computational, and historical research data into actionable insights * Assist in implementing and advancing digital engineering ...

... science methodologies to transform large volumes of experimental, computational, and historical research data into actionable insights * Assist in implementing and advancing digital engineering ...

... science methodologies to transform large volumes of experimental, computational, and historical research data into actionable insights * Assist in implementing and advancing digital engineering ...

... science methodologies to transform large volumes of experimental, computational, and historical research data into actionable insights * Assist in implementing and advancing digital engineering ...

Develop data analytics and visualizations by applying proven, industry-standard data science ... Policy and Communications Support: Assist in supporting Policy Business Operations, including ...

next page

Showing results 1-20

Data Science Assistant information

What are Data Science Assistants?

Data Science Assistants are professionals who support data scientists and analytics teams by handling tasks such as data collection, data cleaning, preparing datasets, conducting preliminary analyses, and creating visualizations. They often work with large datasets, assist in maintaining data integrity, and help automate routine processes. Their role allows data scientists to focus on more complex modeling and analytical work, making the overall workflow more efficient. Data Science Assistants typically have a foundational understanding of statistics, programming (such as Python or R), and data management tools.

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

To thrive as a Data Science Assistant, you need a solid understanding of statistics, data analysis, and programming (often with a background in mathematics, computer science, or a related field). Familiarity with tools like Python or R, data visualization software, and experience with databases or spreadsheet systems are typically required. Attention to detail, strong problem-solving abilities, and effective communication set outstanding candidates apart. These skills are crucial for supporting data-driven decision-making and ensuring accurate, actionable insights for organizations.

Is 40 too late for data science?

Data Science Assistants and other data science roles do not have strict age limits; many professionals start or transition into data science later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned at any age through online courses, certifications, and practical experience.

How does a Data Science Assistant typically collaborate with data scientists and other team members on projects?

As a Data Science Assistant, you will frequently support data scientists by preparing datasets, conducting preliminary data analysis, and creating visualizations. You will often work closely with analysts, engineers, and subject matter experts to gather requirements and ensure data is cleaned and formatted appropriately. Collaboration is a key part of the role, as you may participate in team meetings, share findings, and help with documentation to keep projects running smoothly. This supportive environment provides an excellent opportunity to learn from experienced professionals and gain exposure to the full data science workflow.

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 the results come from 20% of the efforts or data. Data scientists often use this concept to focus on the most impactful features, data subsets, or tasks to improve model performance efficiently.

What is the difference between Data Science Assistant vs Data Analyst?

AspectData Science AssistantData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentTech companies, research labs, data-driven departmentsBusiness, finance, marketing, healthcare sectors
Employer & Industry UsageUsed in data science teams for supporting models and analysisUsed across industries for interpreting data and generating reports

While both roles involve working with data, a Data Science Assistant typically supports data science projects, focusing on data preparation and model testing. A Data Analyst primarily interprets data to generate insights and reports. The roles overlap in skills and work environments but differ in their core responsibilities and focus areas.

What do data assistants do?

Data Science Assistants support data analysis by collecting, cleaning, and organizing data sets. They often use tools like Excel, SQL, or Python to prepare data for modeling and reporting, assisting data scientists and analysts in project workflows.

Can I get a data scientist job with no experience?

Entry-level data science assistant roles often do not require prior experience, but candidates typically need a strong foundation in programming (such as Python or R), statistics, and data analysis. Gaining relevant skills through online courses, certifications, or personal projects can improve chances of securing such positions.
What are the most commonly searched types of Data Science jobs in Ohio? The most popular types of Data Science jobs in Ohio are:
What are popular job titles related to Data Science Assistant jobs in Ohio? For Data Science Assistant jobs in Ohio, the most frequently searched job titles are:
What cities in Ohio are hiring for Data Science Assistant jobs? Cities in Ohio with the most Data Science Assistant job openings:
Infographic showing various Data Science Assistant job openings in Ohio as of June 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Data Analytics Solutions Associate - Consumer & Community Banking

Data Analytics Solutions Associate - Consumer & Community Banking

JPMorgan Chase & Co.

Columbus, OH • On-site

$55K - $56K/yr

Full-time

Medical, Retirement

Posted 12 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 486 frontline employees who took The Breakroom Quiz

54th of 144 rated banks


Job description


The Internal Audit Department provides the Board of Directors, senior management and regulators with an independent assessment of JPMorgan Chase's ('JPMC') control environment. Audit works closely with the Lines of Business ('LOBs') and their support functions to achieve its mission through the execution of a comprehensive audit program designed to test the effectiveness of the controls in place to mitigate the risks inherent in each business. The department is respected throughout the firm for the caliber of the staff and their ability to add value beyond the audit opinion.
As a Data Analytics Solutions Associate within Consumer and Community Banking, you will partner closely with Internal Audit teams as well as peers to design relevant audit testing that leverages data. This includes strong interpersonal skills to clarify requests, help shape and identify requirements, and continually report on progress. In addition, you will develop and leverage skills for sourcing, cleansing and staging data, developing data analytic solutions, and supporting/developing data science initiatives. You will work with peers and audit stakeholders to gain a deep understanding of the data and architecture in order to deliver relevant solutions and results.
Job Responsibilities
  • Propose, build and execute data analytics and data science solutions in support of the full Audit life-cycle objectives using tools such as SQL, Python, Alteryx, Databricks, Tableau, Agentic Studio, Smart SDK and others.
  • Work closely with, and manage stakeholder relationships to help determine and drive the audit plan.
  • Help to develop repeatable analytics & tools geared toward efficiency and Auditor 'self-service' capabilities.
  • Design and develop data analytics and data science solutions to support non-cycle based audit activities, including continuous auditing, continuous monitoring, automated testing and advanced testing.
  • Understand key Data Management concepts and apply Analytics to support audit testing
  • Manage multiple deliverables according to timelines and budget.
  • Stay abreast of new tools and technologies to assist the team in creating the most efficient and effective data solutions.
  • Regularly provide views and perspectives on data analytics and data science applicability across various forums and audiences.

Required Qualifications, Capabilities, and Skills
  • A Bachelor's degree in Technology, data analytics, data science or related discipline
  • 3+ years of related Audit, Data Analytics, Data Science experience
  • Experience working with large complex data sets, drawing conclusions and reporting findings
  • Proven and recent track record of developing and delivering sustainable analytical solutions, should be prepared to describe such use cases
  • Detailed knowledge of technology infrastructure, databases, and associated risk and controls
  • Excellent verbal and written communication, interpersonal and partnership skills
  • Ability to critically think and problem-solve successfully
  • Ability to oversee, and deliver on several tasks concurrently
  • Basic knowledge of Data Management principles
  • Enthusiastic, self-motivated, effective under pressure and willing to take personal responsibility/accountability while working through ambiguity
  • A high level of professional maturity and the ability to work/deliver with limited supervision

Preferred Qualifications, Capabilities, and Skills
  • Knowledge of core bank retail functions is a plus
  • Knowledge of relevant US based regulations is a plus

To be eligible for this role, you must be authorized to work in the United States. We do not offer any type of employment-based immigration sponsorship for this role. Likewise, JPMorgan Chase & Co. will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit, including optional practical training (OPT) or curricular practical training (CPT).
About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
About the Team
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.

What JPMorgan Chase & Co. employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom