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Data Science New Grad Jobs in Kentucky (NOW HIRING)

$140 - $145/hr

Continuously learning and adapting to new tools, technologies, and methodologies in data science to stay current and effective in the field. * Ethical Considerations and Compliance: Ensuring that ...

$120 - $193/hr

Find creative ways to incorporate new insights and data sources * Leverage statistical / machine ... Our team of data scientists plays a critical role in unlocking the business value from these ...

$160 - $200/hr

You'll collaborate with data science teammates, talented engineers and product experts to produce solutions with direct impact on company performance. This role will be based in the Bellevue or New ...

$124 - $162/hr

For 10 years, Scale has provided the high-quality data and full-stack technologies that power the ... in a relevant field (Computer Science, EECS, Computer Engineering, Statistics) * Product ...

New

$251 - $286/hr

As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and ...

New

$171.92/hr

... new medicines are evaluated. You will collaborate with study teams from the earliest stages of ... Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related ...

$140 - $180/hr

Evaluates new hardware and software technologies for advancing complex HPC, data science, CI projects. May represent the organization as part of a team at national and international meetings ...

Implement new ideas, be constantly challenged, and develop your skills * Network with key/high ... The data science intern will help drive proactive and predictive insights that inform strategic ...

$35/hr

Implement new ideas, be constantly challenged, and develop your skills * Network with key/high ... The data science intern will help drive proactive and predictive insights that inform strategic ...

$83 - $138/hr

Make a tangible contribution to how AI understands and applies data science at scale * Potential for ongoing contract renewals as new projects launch #J-18808-Ljbffr

Join our dynamic, centralized Data Science team as we execute our AI/ML roadmap! We focus on ... Create and maintain modeling best practices and new techniques in coordination with internal and ...

Implement new ideas, be constantly challenged, and develop your skills * Network with key/high ... The data science intern will help drive proactive and predictive insights that inform strategic ...

$35/hr

Implement new ideas, be constantly challenged, and develop your skills * Network with key/high ... The data science intern will help drive proactive and predictive insights that inform strategic ...

Implement new ideas, be constantly challenged, and develop your skills * Network with key/high ... The data science intern will help drive proactive and predictive insights that inform strategic ...

Implement new ideas, be constantly challenged, and develop your skills * Network with key/high ... The data science intern will help drive proactive and predictive insights that inform strategic ...

Implement new ideas, be constantly challenged, and develop your skills * Network with key/high ... The data science intern will help drive proactive and predictive insights that inform strategic ...

Implement new ideas, be constantly challenged, and develop your skills * Network with key/high ... The data science intern will help drive proactive and predictive insights that inform strategic ...

$190 - $230/hr

This is a new position. You will join a cutting-edge Drug Development Data Science and Advanced Analytics (DSAA) team as a senior scientific and technical leader, driving data science strategy and ...

Implement new ideas, be constantly challenged, and develop your skills * Network with key/high ... The data science intern will help drive proactive and predictive insights that inform strategic ...

$35/hr

Implement new ideas, be constantly challenged, and develop your skills * Network with key/high ... The data science intern will help drive proactive and predictive insights that inform strategic ...

Showing results 21-40

Data Science New Grad information

What is a data science new grad?

Data Science New Grad roles are entry-level positions designed for recent graduates who have completed a degree in data science, computer science, statistics, or a related field. These roles typically involve working with data to analyze trends, build predictive models, and support business decision-making. New grads are expected to have foundational knowledge in programming, statistics, and machine learning, but are not required to have extensive work experience. These roles often offer mentorship and training to help new professionals grow their technical and analytical skills. Companies hire Data Science New Grads to bring fresh perspectives and to develop future data science talent.

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

To thrive as a Data Science New Grad, you need a strong foundation in statistics, programming (typically Python or R), and data analysis, often supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks (such as TensorFlow or scikit-learn), data visualization tools, and SQL databases is highly valued. Strong problem-solving abilities, communication skills, and curiosity help new grads stand out when interpreting data and presenting insights. These competencies are crucial for transforming complex data into actionable business solutions and collaborating effectively within multidisciplinary teams.

What types of projects can a data science new grad expect to work on during their first year?

As a Data Science New Grad, you can expect to work on a variety of projects such as cleaning and preprocessing data, developing predictive models, and assisting with data visualization and reporting. You may also collaborate closely with product managers, engineers, and senior data scientists to translate business problems into analytical solutions. Early projects often focus on building foundational skills and understanding the company’s data infrastructure, while gradually increasing in complexity as you gain experience. This hands-on exposure is designed to help you grow technically and understand how data science supports organizational goals.

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

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

What cities in Kentucky are hiring for Data Science New Grad jobs?

Cities in Kentucky with the most Data Science New Grad job openings:

Infographic showing various Data Science New Grad 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.

$140 - $145/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago


Key responsibilities

  • Gather and preprocess data from various sources to ensure data quality and reliability.

  • Analyze data through exploration, visualization, and statistical methods to identify patterns and insights.

  • Present findings and collaborate with stakeholders to support program evaluation and decision-making.


Job description

Spartanburg, SC
Spartanburg, SC 29306, USA

The RedSail Advantage Solutions has the primary mission to create incremental value streams for RedSail through the development and activation of Clinical, Financial, & Operational Programs that leverage our uniquely integrated technology platforms as well as our associated reach within the targeted market segments. The Clinical Data Scientist, will participate in the making use of RedSail’s data to evaluate and establish various impactful programs to accomplish and assist with the measurement of program effectiveness against the department objectives.

Key Duties
  • Data Collection: Gathering data from various sources, such as databases, APIs, web scraping, and more. This can involve collecting structured and unstructured data.
  • Data Cleaning: Preprocessing the collected data to handle missing values, remove duplicates, correct inconsistencies, and address outliers. This step ensures data quality and reliability.
  • Data Exploration (Exploratory Data Analysis, EDA): Analyzing the main characteristics of the data often through visualization and summary statistics. This helps in understanding data distributions, relationships between variables, and identifying patterns or anomalies.
  • Data Transformation: Modifying data into a suitable format for analysis, such as normalization, standardization, or creating new features (feature engineering).
  • Data Visualization: Creating visual representations of data, such as graphs, charts, and dashboards, to communicate findings effectively. Tools like Matplotlib, Seaborn, and Tableau are commonly used.
  • Statistical Analysis: Applying statistical methods to understand data distributions, test hypotheses, and infer relationships. This can include t-tests, chi-square tests, ANOVA, and regression analysis.
  • Data Communication: Presenting findings, insights, and recommendations to stakeholders through reports, presentations, and storytelling. Effective communication is crucial for decision-making.
  • Collaboration with Domain Experts: Working with professionals from various fields to ensure that the data science approach aligns with business goals and that the results are meaningful and actionable.
  • Keeping Up with Industry Trends: Continuously learning and adapting to new tools, technologies, and methodologies in data science to stay current and effective in the field.
  • Ethical Considerations and Compliance: Ensuring that data usage complies with ethical standards and legal regulations, such as data privacy laws (e.g., HIPAA)
Education/Training
  • Bachelor’s degree in Data Science, Data Engineering, or similar data relevant computer science/software development degree. Doctor of Pharmacy with data credentials or extensive data experience may substitute for formal education in Data Science.
Required Work Skills/Experience
  • Experience programming with SQL scripting.
  • Experience with data analytics visualization tools such as PowerBI and Tableau.
  • Ability to transform complex data across multiple platforms into concise datasets.
  • Ability to visualize data in the most effective way possible for a given project or study.
  • Strong analytical and problem-solving skills; inquisitive.
  • Ability to work independently and with team members from different backgrounds and collaborative styles.
  • Excellent attention to detail with critical thinking skills.
Preferred Work Skills/Experience
  • A combination of both Doctor of Pharmacy and degree in Data Science, Data Engineering, or similar data relevant computer science/software development degree (i.e. Pharmacist Data Scientist) strongly preferred.
  • 2 years of experience as a Data Analyst, Data Scientist or Data Engineer.
  • Experience with Pharma/Pharmacy transactions.
  • Experience programming with Python or Go Lang.
Discretionary Judgement
  • Uses independent judgment and discretion based upon the employee’s experience in the position and knowledge of the products, equipment, and services.
  • Uses good judgment and possesses ethical work values.
Physical Demands/Working Conditions/General Employment
  • Moderate or high stress levels may be experienced in the job performance.
  • Position is performed in a general office environment, home office, or approved remote workspace where physical work includes, but is not limited to, sitting, standing, reaching, kneeling, bending, and lifting to 25 lbs.
Equipment
  • Daily use of Microsoft Teams (phone), computer, printer, and other routine office equipment.
  • Must have reliable and consistent internet access.
Safety to Self and Others
  • Little responsibility for the safety of others. Job is performed in an office setting where there are no hazardous materials or equipment.
Working Conditions/Hazards
  • Position is performed in an open office environment or approved remote work location.
Compensation & Total Rewards
  • The anticipated base salary range for this position is $140,000-$145,000 annually. This position is also eligible for an annual target bonus of 4%. Actual compensation will be determined based on factors including relevant experience, skills, qualifications, and geographic location.
  • Benefits include paid time off, medical, dental, and vision insurance, a 401(k) with a 5% company match, a fitness bonus, professional development opportunities, and programs that support overall well-being.
Work Location
  • Hybrid at a RedSail Office
    • Spartanburg, SC
    • Irving, TX
    • Shreveport, LA
    • Oak Brook, IL
    • Cranberry Township, PA
    • Long Island, NY

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.For further information, please review the Know Your Rights notice from the Department of Labor.

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