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Data Science Phd Jobs in Kentucky (NOW HIRING)

$197 - $345/hr

Job Category Data Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with ... Computer Science, Economics, Physics); an advanced degree (MS, PhD) in a quantitative field (e.g.

New

$140 - $190/hr

Advanced Degree (MS, PhD, or MBA) in a quantitative field such as Data Science, Statistics, or Economics is strongly preferred * 7+ years of progressive experience in the pharmaceutical, biopharma ...

$197 - $345/hr

Principal Data Scientist, Platform Monetization To get the best candidate experience, please ... Computer Science, Economics, Physics); an advanced degree (MS, PhD) in a quantitative field (e.g.

New

$120 - $220/hr

This is a full‑stack data science role, involving model development, analysis, and writing ... Bachelor's, Master's, or PhD in Statistics, Computer Science, Physics, Mathematics, or a related ...

$120 - $220/hr

This is a full-stack data science role, involving model development, analysis, and writing ... Bachelor's, Master's, or PhD in Statistics, Computer Science, Physics, Mathematics, or a related ...

$162 - $185/hr

Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or ...

$160 - $200/hr

You'll collaborate with data science teammates, talented engineers and product experts to produce ... What we would like to see MS/PhD in Computer Science, Engineering, Statistics, Mathematics or a ...

$83 - $138/hr

Advanced degree (PhD preferred) in a quantitative social science field, or equivalent experience ... Knowledge of and experience applying data visualization best practices * Proficiency with Microsoft ...

$140 - $190/hr

Senior Data Scientist - Applied AI, NLP, and LLM Solutions Note: Fidelity will not provide ... PhD in Computer Science, Information Science, Statistics, or a related STEM discipline with focus ...

$140 - $190/hr

Asa Data Scientist Advisor , your work will help power our planet, reduce carbon emissions and ... PhD in Computer Science, Electrical Engineering, Statistics, Mathematics, business analytics = 2 ...

$230 - $262/hr

A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data ...

$230 - $262/hr

A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data ...

$110 - $170/hr

MS or PhD in Statistics/Biostatistics, Mathematics, Computer Science, Data Science, Physics, Informatics, Life Sciences, or quantitative related field. * A proven ability to write robust code in R ...

$162 - $185/hr

A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 3 years of experience performing data ...

$160 - $190/hr

Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field; Master's or PhD preferred. * 5+ years | Python + SQL | production ML | predictive modeling ...

$114 - $171/hr

... in data science * Stay abreast of industry trends and methodologies and contribute innovative ideas to drive business value Basic Qualifications for Level 3: * PhD with 1 years of related ...

$120 - $220/hr

This is a full‑stack data science role, involving model development, analysis, and writing ... Bachelor's, Master's, or PhD in Statistics, Computer Science, Physics, Mathematics, or a related ...

$179 - $205/hr

Manager, Data Scientist, Data Solutions and Modeling Data is at the center of everything we do. As ... PhD in 'STEM' field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience ...

$150 - $220/hr

PhD. with 6+ years of relevant experience. * Familiarity with commercial and open-source data science software. * Familiarity with relational databases: Oracle, SQL, and ETL tools. Salary and Benefit ...

$185 - $211/hr

A Master's or a PhD degree in a quantitative field such as Statistics, Operations Research, Computer Science, Economics or Natural Sciences, with 6+ years of prior experience in a Data Science role.

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Data Science Phd information

What is a data science PhD?

A Data Science PhD is a doctoral-level degree focused on advanced research in data science, which combines elements of statistics, computer science, and domain expertise. Students in a Data Science PhD program typically work on developing new methods for analyzing large datasets, creating machine learning algorithms, and addressing complex problems in areas such as artificial intelligence, data mining, and predictive analytics. Graduates are prepared for careers in academia, research, and industry, where they can lead data-driven projects and contribute to advancements in the field.

What are the key skills and qualifications needed to thrive as a data science PhD?

To thrive as a Data Science PhD, you need advanced expertise in statistics, machine learning, data analysis, and a doctoral degree in a quantitative field. Proficiency in programming languages like Python or R, experience with big data frameworks (e.g., Spark, Hadoop), and familiarity with data visualization tools are typically required. Critical thinking, problem-solving, and strong communication skills help you translate complex data insights for diverse stakeholders. These skills are vital for driving innovative research, making data-driven decisions, and contributing impactful solutions in data-centric environments.

What are some common challenges faced by data science PhDs when transitioning from academia to industry roles?

Data Science PhDs often encounter challenges such as adapting to the faster pace and collaborative nature of industry projects compared to academic research. In industry, there is a greater emphasis on delivering practical solutions within tight deadlines and working closely with cross-functional teams like engineering and product management. Additionally, data science work in industry may require balancing technical rigor with business impact, often prioritizing actionable insights over exhaustive analysis. Building strong communication and stakeholder management skills can help ease this transition.

What can I do with a data science PhD?

A data science PhD prepares individuals for advanced roles in research, analytics, and machine learning across industries such as technology, finance, healthcare, and academia. Graduates can work as data scientists, machine learning engineers, research scientists, or data analysts, often utilizing programming languages like Python or R and tools such as TensorFlow or SQL. The degree also enables roles involving complex data modeling, statistical analysis, and developing innovative data-driven solutions.

What are popular job titles related to Data Science Phd jobs in Kentucky?

For Data Science Phd jobs in Kentucky, the most frequently searched job titles are:

What cities in Kentucky are hiring for Data Science Phd jobs?

Cities in Kentucky with the most Data Science Phd job openings:

Infographic showing various Data Science Phd job openings in Kentucky as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 9% Part Time, 7% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Science Principal

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$197 - $345/hr

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Job description

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 Category Data Job 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.

Title: Principal Data Scientist, Platform Monetization

We are hiring a Principal Data Scientist to lead the data efforts to form Slack monetization strategy and execution from the agentic platform point of view. The Platform ecosystem is a critical component of Slack's strategy to become the place where work happens. It enables users to truly customize Slack and integrate their everyday tools to streamline and speed up work. At the same time, this domain connects with corporate sales and business and strategic customer strategy and directly impacts the company's topline performance.

In this leadership role, you will work closely with the Platform product organization to understand and improve the product experience of app developers and users. As Slack builds out its next generation of Platform capabilities, you'll lead the efforts on unearthing insights and building a complete picture of what users build and how they engage with agents and with each other on the Slack platform. At the same time, you will partner closely with go-to-market (GTM) teams to answer Slack's highest-impact business questions. Slack has a positive, diverse, and supportive culture—we look for people who are curious, inventive, and work to be a little better every single day. In our work together we aim to be smart, humble, hardworking and, above all, collaborative.

If this sounds like a good fit for you, we'd love to hear from you.

What you’ll be doing:
  • Establish strong partnership with product and business stakeholders in identifying opportunities, prioritize roadmaps, define and implement execution excellence, and coach and mentor team members for execution excellence
  • Apply statistical methods, experimentation, segmentation frameworks, and forecasting methodologies to understand customer behavior, GTM performance, and drivers of growth
  • Design measurement strategies and success metrics to evaluate products, programs, and strategic initiatives
  • Frame and deliver deep-dive analyses to identify opportunities for revenue & product growth, customer adoption, and smooth user journeys
  • Partner with Data Engineering to develop trusted datasets and scalable analytical foundations that enable advanced modeling and experimentation
  • Set a compelling vision and prioritize work based on product strategies and overall business goals
  • Partner closely with product researchers and business strategy partners, align roadmaps and collaborate on projects to influence topline decision making
What you should have:
  • 7+ years of experience in product data science in related tech industries; 2+ years experience in a product DS tech lead or managerial role a strong plus
  • A consistent record of using data to drive product teams to achieve ambitious goals and influencing company-level outcomes
  • Advanced proficiency in SQL and at least one programming language for data science, such as Python, R, or Scala.
  • Knowledge of workflow orchestration tools like Apache Airflow is highly desirable
  • Strong foundation in statistics, experimentation, causal inference, predictive modeling, and analytical problem solving
  • Experience working with large-scale data technologies such as Spark, Presto, Hive, Hadoop, or similar distributed data platforms
  • Proven ability to communicate complex analytical findings clearly to executive and cross-functional audiences
  • Experience partnering with Product, Sales, Finance, or other GTM organizations to influence strategic decisions
Even better if you have:
  • BS degree in a quantitative field (e.g. Computer Science, Economics, Physics); an advanced degree (MS, PhD) in a quantitative field (e.g. Computer Science, Economics, Physics, Maths) is a strong plus
Unleash Your Potential

When 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.

Accommodations

If 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 Statement

Salesforce 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)
  • 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 $197,300 - $313,700 annually.

In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $237,000 - $344,700 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

We're Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too — driving your performance and career growth, charting new paths, and improving the state of the world.

If you believe in business as the greatest platform for change and in companies doing well and doing good – you've come to the right place.

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