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Data Science Jobs in Covington, KY (NOW HIRING)

Senior Data Scientist (SMTS)

Bellevue, KY · On-site

$148.50 - $223.90/hr

The Data Science & Analytics team in Salesforce Cyber Security Operations Center seeks an experienced, driven, and creative Senior Data Scientist to join the team. We explore, invent, build and scale ...

Our client is currently seeking a Data Engineer Level 2 Required Skills * 3+ years of applied data science experience, with demonstrated progression in scope and technical complexity * Hands-on ...

ClifyX is seeking a Senior Data Scientist to enhance their AI-driven systems. The role involves developing recommender systems, applying generative AI models, and collaborating across teams to ...

DATA ENGINEER IV

Cincinnati, OH · On-site

$68 - $70/hr

You'll work closely with data scientists and ML engineers to deliver curated, production-ready datasets and help shape how machine learning data is delivered across the bank. You should have solid ...

Lead Data Engineer (P4519)

Cincinnati, OH · On-site

$125K - $207K/yr

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 ...

You will work closely with Commercial Operations, Sales Leadership, and Data Science teams to transform data into actionable insights that improve sales effectiveness and support strategic decision ...

Data Engineer

Cincinnati, OH · On-site

$111K - $134K/yr

Required : • Bachelor's Degree in Computer Science, Data Science, or a related field • 3+ years of experience in Data Engineering • Knowledge of developing dimensional data models and awareness ...

Do you have a background in data science and/or computer science with experience working with AI tools for interactive AI applications across various IT systems? If so, we have an exciting ...

Do you have a background in data science and/or computer science with experience working with AI tools for interactive AI applications across various IT systems? If so, we have an exciting ...

Translate complex business challenges into clearly defined analytics, machine learning, generative AI, agentic AI, and decision-science problem statements. * Perform exploratory data analysis ...

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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 Aug 12, 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.

Is a data scientist in high demand?

Yes, 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 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 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 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.

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 most commonly searched types of Data Science jobs in Covington, KY? The most popular types of Data Science jobs in Covington, KY are:
What are popular job titles related to Data Science jobs in Covington, KY? For Data Science jobs in Covington, KY, the most frequently searched job titles 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:
Infographic showing various Data Science job openings in Covington, KY as of August 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $119,134 per year, or $57.3 per hour.

Senior Data Scientist (SMTS)

Salesforce, Inc.

Bellevue, KY • On-site

$148.50 - $223.90/hr

Other

Medical, Dental, Vision, Life, Retirement

Re-posted 18 hours ago


Salesforce rating

8.1

Company rating: 8.1 out of 10

Based on 58 frontline employees who took The Breakroom Quiz

111th of 243 rated software companies


Job description

## Senior Data Scientist (SMTS)Applyremote type: Office - Flexiblelocations: Washington - Bellevue: Virginia - Mclean: California - San Franciscotime type: Full timeposted on: Posted Yesterdayjob requisition id: JR344060*To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.*Job CategorySoftware EngineeringJob Details****About Salesforce****Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.****The Team******The Data Science & Analytics team in Salesforce Cyber Security Operations Center seeks an experienced, driven, and creative Senior Data Scientist to join the team. We explore, invent, build and scale new ways to secure the Salesforce platform. We leverage AI, machine learning, and contemporary data techniques to advance behavior- and signature-based techniques of many forms. We partner with threat, product, and engineering teams to deliver defenses that not only operate at scale, but evolve through agentic-based monitoring, testing, and continuous improvement. We are a growing, highly visible, and highly agile team where experimentation, collaboration, and spirited discussion are the norm.******About You***** **You’re intensely curious about AI and data and are highly adept in analyzing large volumes of data, then teasing out valuable signals therein. You’re able to seamlessly merge rigor in statistics with awareness of their application to business problems.*** **You thrive in researching, experimenting with, applying, and proving out new techniques in AI, data mining, and machine learning.*** **You partner with threat experts to understand evolving threat patterns and their detection. You collaborate effectively with software engineers to champion proven detection techniques, consult in their software implementation, and build and test production software.******Responsibilities:***** **Conduct and document rigorous exploratory data analyses of potential source datasets.*** **Collaborate with internal incident-response, threat-intel, and product teams on evolving threats and their detection*** **Formulate,build, test, and document proofs-of-concept for new techniques in threat detection.*** **Drive or assist in engineering scalable, production-ready software for proven techniques.*** **Champion, build, and maintain AI-driven capabilities for all of the above.*** **Communicate proactively and effectively to product, threat-research, and other stakeholders via presentations, proposals, and requirements.*** **Champion and build AI-driven capabilities for all of the above.******Required Experience Skills:***** **At least four (4) years experience in a related field; OR** + **At least two (2) years experience , plus a graduate degree (Masters' at least) in a related technical field*** **Strong fundamentals in applied statistics and probability*** **Demonstrated experience delivering advanced data mining or machine learning techniques as a lead or sole contributor.1*** **At least two (2) years of experience in selecting and applying machine-learning techniques; OR at least two (2) years of experience mining datasets over 1 TB in volume.1*** **Strong programming skills in Java, Python, or Scala*** **Excellent communication skills*** **Experience formulating, leading, and executing applied-research projects and assisting in their production implementation.******Preferred Skills:***** **Strong understanding of security, including threat propagation and signal correlation.*** **Experience in applying AI and big-data techniques to security, specifically in anomaly detection, pattern recognition, behavior-based analysis, and correlation.*** **Related experience in genomics, high-speed trading, or other domains involving pattern recognition or behavior-based analysis**Unleash Your PotentialWhen you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and *be your best*, and our AI agents accelerate your impact so you can *do your best*. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.AccommodationsIf you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.Posting StatementSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.### ### ### ### At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.The typical base salary range for this position is $148,500 - $223,900 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $178,900 - $246,000 annually.The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable. #J-18808-Ljbffr

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