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Data Scientist

Abbott

Data Scientist

Abbott

Ireland - Kilkenny

·

On-site

·

Full-time

·

2w ago

Benefits & Perks

Healthcare

401(k)

Life Insurance

Learning Budget

Healthcare

401k

Learning

Required Skills

Statistics

Data Analysis

Python

R

JMP

Statistical Process Control

Hypothesis Testing

JOB DESCRIPTION:

Have you ever wanted to make a difference?

At Abbott, you will play a crucial role to help people live more fully at all stages of their lives. Abbott is a global healthcare leader and our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritional products and branded generic medicines. Our 113,000 colleagues have a daily impact on the life of people in more than 160 countries.

Abbott Ireland

In Ireland, Abbott employs around 6,000 people across ten sites. We currently have six manufacturing facilities located in Clonmel, Cootehill, Donegal, Longford and Sligo and a third-party manufacturing management operation in Sligo. Abbott also has commercial, support operations and shared services in Dublin and Galway. We have been making a difference in the lives of Irish people since 1946.

Diabetes Care Kilkenny

Our new manufacturing facility in Kilkenny, reflects the growing demand for Abbott's global Diabetes Care products. The facility will be a centre for world-class engineering, quality, medical device manufacturing, and other science-based professionals to produce life-changing technologies that enable people with diabetes to live the best and fullest lives they can. At Abbott in Kilkenny, you can shape your career as you help shape the future of healthcare.

This is how you can make a difference at Abbott:

We currently have a requirement for a Data Scientist to join our New Abbott Diabetes Care Kilkenny site. The following is required for this role:

Key Responsibilities

  • Provide real time data analysis support to manufacturing in terms of process adjustments, material performance, investigations, programming and yield analysis.

  • Support site-wide reporting, including monthly metrics and quarterly product quality monitoring.

  • Build automated solutions to streamline reporting and analysis.

  • Ability to independently data mine multiple large, complex data sets to answer specific research / investigation questions. Curiosity to dig deeper and access other documentation sources to understand the data.

  • The ability to strategically interpret statistical findings into a business significant context.

  • Develop and lead projects focused on enhancing statistical methodologies. This includes providing input to the site data strategy and ensure delivery of the strategy

  • Provides consulting on data analysis and statistical tools in support of trend analysis, root cause analysis, failure investigation, risk assessment, data management and data visualization to junior analysts and engineers.

  • Develop automated solutions that address specific analytical objectives and facilitate report generation and distribution of analyses.

  • Highly effective in presenting and communicating complex statistical results in a clear, compelling way to non-technical audiences.

  • Liaise with key business stakeholders; QA, Manufacturing, Engineering, R&D, Regulatory Affairs and Purchasing to ensure timely completion of activities.

Education and Experience

  • Bachelor's Degree in a quantitative field (i.e. Mathematics, Data Science, Statistics, Applied Statistics, Biostatistics etc.) preferred. Will consider relevant industry experience.

  • Experience with relational databases (for example: Oracle Databases, MySQL, Microsoft Access, etc.) is desirable.

  • An understanding of probability, statistical process control, hypothesis testing, non-parametric statistics, time series analysis, linear and logistic regression etc.

  • Ability to develop custom sampling plans and sample size calculations for production and validation activities.

  • Proficient in developing custom reports and dashboards using a programming language for example, Python / R / Advanced JMP.

  • Experience graphing / presenting data and answering questions using your understanding of statistics as a subject matter expert.

What we Offer

Attractive compensation package that includes competitive pay, as well as benefits such as

  • Family health insurance,

  • Excellent pension scheme

  • Life assurance

  • Career Development

  • Fantastic new facility

  • Growing business plus access to many more benefits.

Connect with us at www.abbott.com or https://www.ie.abbott/, on LinkedIn at www.linkedin.com/company/abbott-/, on Facebook at www.facebook.com/Abbott and on Twitter AbbottNews.

Abbott is an equal opportunities employer.

The base pay for this position is

N/AIn specific locations, the pay range may vary from the range posted.

JOB FAMILY:

Support Services

DIVISION:

ADC Diabetes Care:

LOCATION:

Ireland > Kilkenny : Kilkenny Business and Technology Park

ADDITIONAL LOCATIONS:

WORK SHIFT:

  • Ie
  • Kkyflx (Ireland)

TRAVEL:

Yes, 20 % of the Time

MEDICAL SURVEILLANCE:

Not Applicable

SIGNIFICANT WORK ACTIVITIES:

Not Applicable

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About Abbott

Abbott

Abbott

Public

Abbott is a global healthcare company that develops medical devices, diagnostics, branded generic medicines, and nutrition products.

10,001+

Employees

Abbott Park

Headquarters

Reviews

3.4

10 reviews

Work Life Balance

2.5

Compensation

4.0

Culture

2.8

Career

3.2

Management

2.5

45%

Recommend to a Friend

Pros

Good benefits and compensation

Supportive management/teams

Good company reputation and mission

Cons

Poor management and communication

Stressful work environment

Limited career advancement/favoritism

Salary Ranges

1,330 data points

Junior/L3

L3

Junior/L3 · Data Scientist

0 reports

$112,500

total / year

Base

$100,000

Stock

-

Bonus

$12,500

$95,625

$129,375

Interview Experience

3 interviews

Difficulty

2.7

/ 5

Duration

14-28 weeks

Offer Rate

67%

Experience

Positive 67%

Neutral 33%

Negative 0%

Interview Process

1

Application Review

2

Recruiter Screen

3

Phone Screen

4

Hiring Manager Interview

5

In-person/Final Interview

6

Offer

Common Questions

Technical Knowledge

Behavioral/STAR

Past Experience

Culture Fit