Data Mining Jobs in Kentucky (NOW HIRING)

At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.

Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

Let’s do this. Let’s change the world. In this vital role you we are seeking a highly motivated individualfor Amgen Ohio’s Data Science team to partner with site functions including DTI, Manufacturing, Supply Chain, Automation, Engineering, Warehouse, Quality, and Process Development. This role will develop and maintain reporting and data products, build scalable data pipelines, support advanced analytics and machine learning solutions, and identify opportunities for process improvement and automation.

The successful candidate will act as a cross-functional technical partner, translating business and operational needs into practical, scalable data and digital solutions.

Duties include:

• Develop and maintain real-time and summary reports, dashboards, and data products for AOH functional teams and site leadership.
• Partner with stakeholders to define key performance metrics across safety, quality, manufacturing, supply chain, and operational performance.
• Extract, integrate, and analyze data from systems such as SAP, MES, LIMS, PI Data Historian, and IIoT platform.
• Build scalable and reusable data pipelines using Databricks, SQL, Python, and enterprise data platforms.
• Apply statistical analysis, simulation, and machine learning to manufacturing and operational challenges.
• Support predictive maintenance, IIoT, computer vision, SmartVision model maintenance/retraining, and other advanced analytics use cases.
• Serve as a subject matter expert for the AOH IIoT platform and support expansion of site IIoT capabilities.
• Contribute to Digital Control Tower enhancements, including integration of real-time data, analytics, and GenAI capabilities.
• Act as an internal consultant to identify process improvement, continuous improvement, and automation opportunities across the site.
• Partner with DTI and external vendors to deliver validated and non-validated digital solutions.
• Support requirements gathering, User Acceptance Testing, deployment, and continuous improvement of digital tools.

We are all different, yet we all use our unique contributions to serve patients. The data scientist professional we seek will possess these qualifications.

Basic Qualifications:

Master's degree in data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science, or a related field

OR

Bachelor's degree in data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science, or a related field, with 2 years of relevant experience.

OR

Associate's degree in data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science, or a related field, with 6 years of relevant experience.

OR

High school diploma/GED with 8 years of relevant experience in data science, business, statistics, data mining, applied mathematics, business analytics, engineering, computer science, or a related field.

Preferred Skills:

• Strong hands-on experience with Python and SQL.
• Experience with Databricks or similar cloud data and analytics platforms.
• Experience building data pipelines and integrating data from multiple operational or enterprise systems.
• Experience developing reports, dashboards, analytical tools, or data products.
• Experience working with large-scale data platforms such as data lakes, lakehouses, or data fabrics.
• Experience with statistical analysis, machine learning, or predictive modeling.
• Familiarity with IIoT, time-series data, predictive maintenance, computer vision, or manufacturing analytics.
• Familiarity with Generative AI and emerging AI technologies.
• Understanding of software engineering practices including version control, testing, and documentation.
• Strong problem-solving, stakeholder management, and communication skills.
• Ability to work effectively across multiple functions in a matrixed environment.
• Manufacturing, biopharmaceutical, engineering, operations, or supply chain experience is preferred.

Candidate Profile

The ideal candidate is a hands-on data scientist who enjoys solving practical business and manufacturing problems. They should be comfortable working across data engineering, reporting, analytics, and applied machine learning, while partnering directly with site stakeholders.

This role is well suited to someone who can combine strong technical skills with an internal consulting mindset and who is motivated to use data, automation, IIoT, and AI to improve operational performance across the Amgen Ohio site.

As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way.

The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.

In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include:

• A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
• A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
• Stock-based long-term incentives
• Award-winning time-off plans
• Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies.

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Sponsorship for this role is not guaranteed.

As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.

Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.