ZipRecruiter

Log In

1

Data Science Jobs in Covington, KY (NOW HIRING)

84.51°

Lead Data Scientist (P3764)

Cincinnati, OH · On-site

Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric ...

Omm IT Solutions

Senior Data Scientist

Woodlawn, KY · On-site

$130 - $170/hr

Data Hygiene & Management: Clean, transform, and manage large-scale datasets from diverse, complex ... Bachelor's degree in Statistics, Applied Mathematics, Computer Science, or Information Science with ...

Siemens AG

Applied Data Scientist

Cincinnati, OH · On-site

$110 - $198/hr

Bachelor's or Master's degree (Preferred) in Computer Science, Data Science, Artificial Intelligence, or a related field. * 6-10+ years of professional experience in the related fields including ...

84.51°

Data Architect (P4642)

Cincinnati, OH · On-site

$61.25 - $78.75/hr

Powered by cutting-edge science, we utilize first-party retail data from more than 62 million U.S. households sourced through the Kroger Plus loyalty card program to fuel a more customer-centric ...

Siemens

Applied Data Scientist

Cincinnati, OH · On-site

$109K - $197K/yr

Bachelor's or Master's degree (Preferred) in Computer Science, Data Science, Artificial Intelligence, or a related field. * 6-10+ years of professional experience in the related fields including ...

previous page

Showing results 41-60

All JobsData Science JobsData Science Jobs in Covington, KY

Data Science information

See Covington, KY salary details

$36.4K

$119.1K

$190.7K

How much do data science jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data science in Covington, KY is $119,134.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,600.00 and $132,000.00 per year, depending on experience, location, and employer.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.
More about Data Science jobs

What are the most commonly searched types of Data Science jobs in Covington, KY?

The most popular types of Data Science jobs in Covington, KY are:

What job categories do people searching Data Science jobs in Covington, KY look for?

The top searched job categories for Data Science jobs in Covington, KY are:

What cities near Covington, KY are hiring for Data Science jobs?

Cities near Covington, KY with the most Data Science job openings:

Data Science jobs near you
Infographic showing various Data Science job openings in Covington, KY as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $119,134 per year, or $57.3 per hour.

Data Scientist (Master's Degree) Internship

Proctor & Gamble

Cincinnati, OH • On-site

Full-time

Posted 14 days ago

Procter & Gamble rating

8.1

Company rating: 8.1 out of 10

Based on 166 frontline employees who took The Breakroom Quiz

118th of 546 rated manufacturers

Job description

Job Location

CINCINNATI GENERAL OFFICES

Job Description

Do you enjoy design research and analytic frameworks? How would you like to use your creative and analytical skills alongside business leadership in your everyday work?

Data Science is where business, innovation and technology integrate to build a competitive advantage for P&G. Our mission is clear-- we deliver technology to help win with consumers. Our Data Scientist are diverse business leaders who apply technological skills to deliver groundbreaking business models and capabilities. Whether your role is to build an IT innovation strategy for a business, protect our critical information systems and assets, or lead a strategic supplier in our innovative shared services organization, your technical skills will be recognized and rewarded. Your real passion for the industry will be further cultivated by our culture of continued learning and growth as a Data Science professional.

In this role, you will be using Big Data and advanced analytics to advise the engagement of our business leaders. You'll be collaborating actively across functional partners to accomplish various project objectives. We need someone who can implement research and analytics, including data source identification, processing, model/algorithm development. Ultimately you will be turning insights into measurable recommendations which will drive business value creation.

  • Algorithm Design & Development:Directly contribute to the design and development of scalable Data Science algorithms.

  • Collaboration:Work closely with Data and Software Engineering teams to effectively productionize algorithms.

  • Data Analysis:Apply thorough technical knowledge to large datasets, conducting exploratory data analysis, feature engineering, and model building.

  • Coaching & Mentorship:Develop others as a technical coach, sharing your expertise and insights.

  • Expertise Development:Become a known expert in one or multiple Data Science techniques and methodologies.

As an intern, you will experience a subset of the above responsibilities

Job Qualifications

Required:

  • You must be available during the summer of 2027 for a 12 week internship from mid/late May through early August.

  • Currently pursuing a Master's in Data Science, Statistics, Applied Mathematics, Physics, Computer Science, Business Analytics, Operation Research, Software Development, or a similar quantitative field.

Preferred:

  • Proven leadership in applying and scaling Analytic techniques to deliver measurable insights from data.

  • Strong written and verbal communication skills to influence others to take action

  • Proven ability to balance multiple priorities

  • Comfort working with diverse business scenarios and possessing strong thinking/problem-solving skills to business processes with a "can-do" attitude

  • Strong passion and curiosity about the intersection of business and technology

  • Preferred Experience with Analytical Tools/Applications:

  • Unix/Linux

  • Big Data Ecosystem: Hadoop, Spark, MapReduce, SQL, Hiv

  • Scientific Computing: R, Python, C++, Java, Scala,

  • High-Performance Parallel and Distributing Computing

  • Deep Learning frameworks: Keras, Tensorflow

  • Data Visualization

  • Data Management Systems

  • Business Intelligence tools: such as KNIME, Tableau

Compensation for roles at P&G varies depending on a wide array of non-discriminatory factors including but not limited to the specific office location, role, degree/credentials, relevant skill set, and level of relevant experience. At P&G compensation decisions are dependent on the facts and circumstances of each case. Total rewards at P&G include salary + bonus (if applicable) + benefits. Your recruiter may be able to share more about our total rewards offerings and the specific salary range for the relevant location(s) during the hiring process.

At P&G, we believe that diverse experiences help build strong leaders. Mobility is a key component of many management careers, providing opportunities to grow through different assignments, locations, and business challenges. Candidates should be prepared to consider relocation opportunities throughout their career as business needs and development opportunities arise.

We are committed to providing equal opportunities in employment. We value diversity and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Immigration Sponsorship is not available for this role. For more information regarding who is eligible for hire at P&G along with other work authorization FAQ's, please click HERE.

Procter & Gamble participates in E-Verify.

Qualified individuals will not be disadvantaged based on being unemployed.

P&G is dedicated to meeting the needs of applicants requesting an accommodation/adjustment due to a disability in order to complete the online application process. If you have a disability that affects your ability to complete our online application process, please visit our Disability Accommodation Page.

Job Schedule

Full time

Job Number

R000157504

Job Segmentation

Internships

Starting Pay / Salary Range

$29.00 - $50.00 / hour

What Procter & Gamble employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Procter & Gamble logo

About Procter & Gamble

Sourced by ZipRecruiter

Procter & Gamble (P&G), based in Cincinnati, OH, US, is a multinational consumer goods corporation. The company operates in the Consumer Discretionary sector and has a presence in various industries including Beauty, Health Care, Grooming, Fabric & Home Care, and Baby, Feminine & Family Care. Since its foundation by William Procter and James Gamble in 1837, P&G has grown to become a leading player in the consumer goods market. The corporation prides itself on its core values of leadership, ownership, integrity, passion for winning, and trust. They aim to improve consumers' lives in small but significant ways, with a mission to provide branded goods and services of superior quality and value.

Industry

Health and personal care stores

Company size

10,000+ Employees

Headquarters location

Cincinnati, OH, US

Year founded

1837

View All Procter & Gamble Jobs

Apply