Job Description
Position Accountability/Scope:
The Senior Data Scientist and Engineer is responsible for/ helps delivering targeted business impact per initiative in collaboration with key stakeholders. He / she works on end-to-end data management that will enable faster, better and more informed decision-making within the business and help create business value out of data & analytics.
Core Job Responsibilities:
- Help build and maintain a close contact to key business stakeholders and relevant communities
- Build effective and efficient Advanced Analytics solutions to business needs, leveraging available market resources as much as possible
- Help derive and continuously refine AA guidelines and standards through synthesizing learnings from prioritized AA initiative (“learning while doing and driving impact”).
- Work with key stakeholders within the company to help model their data landscape, obtain data extracts, and define secure data exchange approaches • Help plan and deliver secure, good practice data integration strategies and approaches
- Help acquire, ingest, and process data from multiple sources and systems into Big Data platforms
- Help create and manage data environments in the Cloud
- Collaborate with our data scientists and engineers to map data fields to hypotheses and curate, Page 2 of 2 wrangle, and prepare data for use in their advanced analytical models • Ideally, have a strong understanding of Information Security principles to ensure compliant handling and management of client data wrangle, and prepare data for use in their advanced analytical models
- Ideally, have a strong understanding of Information Security principles to ensure compliant handling and management of client data
Minimum Education:
- Master in relevant field (e.g., applied mathematics, computer science, electrical engineering, applied statistics)
Minimum Experience/Training Required:
- At least 4 - 6 years of relevant working experience in larger companies or corporates, ideally in pharma environment
- Good /solid experience working on full-life cycle data science; experience in applying data science methods to business problems (experience in the financial/commercial or manufacturing / supply chain areas a plus).
- Proven ability to work across structured, semi-structured, and unstructured data, extracting information and identifying linkages across disparate data sets • Strong experience in multiple database technologies such as: Distributed Processing (Spark, Hadoop, EMR) Traditional RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL) MPP (AWS Redshift, Teradata) NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan)
- Strong experience in e.g., data mining, statistical modelling, predictive modeling and development of machine learning algorithms
- Practical experience in deploying machine learning solutions
- Programming experience in R or Python and ideally also in object-orientated programming such as e.g., C, C++, Java
- Good understanding of good software engineering principles
- Good knowledge of testing frameworks and libraries
- Strong experience and interest in Cloud platforms such as e.g., AWS
- Proven problem-solving ability in international settings
- Result-oriented analytical and creative thinker with strong background in analytics and statistics
- Proven communication skills
- Intrinsic motivation to guide people and make Advanced Analytics more accessible to a broader range of stakeholders. Ability to work with cross-functional teams and bring business and data science closer together - consultancy experience a plus
- Fluency in English a must, additional languages a plus
Company Info.
Abbott Laboratories
Abbott Laboratories, commonly known as Abbott, is a major American multinational healthcare and pharmaceutical company. It is involved in various aspects of healthcare, including the development, manufacture, and marketing of a wide range of medical products, diagnostic equipment, pharmaceuticals, and nutritional products.
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Industry
Healthcare,Pharmaceuticals,Medical Devices Manufacturing
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No. of Employees
115,000
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Location
Abbott Park, Green Oaks, Illinois, USA
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Website
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