Data Scientist Manager-Supply Chain Planning

Beckman Coulter Life Sciences mission is to empower those seeking answers to life's most important scientific and healthcare questions. With a legacy spanning 80+ years, we have long been a trusted partner to our customers, who are working to transform science and healthcare with the next groundbreaking discovery. As part of our team of more than 2,900 associates across 130 countries, you'll help drive our vision of accelerating answers-and our commitment to excellence.

Beckman Coulter Life Sciences is one of 10 Life Sciences companies of Danaher. Together, we accelerate the discovery, development and delivery of solutions that safeguard and improve human health.

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We are currently seeking a who will be responsible for

In this role, you will be responsible for:

• Manages and implements advanced analytics projects which solve complex analytical problems for supply chain planning using quantitative approaches through a combination of analytical, mathematical and technical skills.
• Researches, designs, implements and validates cutting-edge algorithms to analyze diverse sources of data to achieve targeted outcomes by leveraging complex statistical and predictive modeling concepts, machine-learning approaches, clustering and classification techniques.
• Leads key objectives and business goals through the use of data science methodology. Liaises with business stakeholders and leverages business knowledge to industrialize and monetize insights from advanced analytics projects.
• Creates algorithms using more complex statistical methodologies through the use of statistical programming languages and tools. Partners with domain experts to verify model capabilities and translate modeling outputs from statistical inferences into business language.
• Partners with Solution Architect to enable appropriate data flow/data model, development using appropriate tools/technology, rapid prototyping and informs the design of analytical products.
• Lead and coach a team of Data Scientists. Trains and mentors less experienced employees on data science tools and methodologies.
• Continuous development and advancement of the organization through knowledge sharing and collaboration

The required qualifications for the job include:

• Bachelor's with 7 years of experience or Master's with 5 years of experience in Mathematics, Computer Science, Information Technology, Engineering or related field
• 5-7 years experience of Data Science and its application in Supply Chain related area is required with a demonstrated track record of analyzing complex business systems and large data sets
• 1 year of experience in leading or managing a team
• Strong hands-on knowledge in developing/implementing Operations Research models and Machine Learning models to solve supply chain related problems
• Strong programming skill in Java, Scala, or Python
• Strong interpersonal skills and ability to promote positive working relationships. Excellent organization, prioritization, collaboration and time management skills
• Ability to effectively manage multiple demands in a rapidly changing, team-based environment

It would be a plus if you also possess previous experience in:

• Clustered compute cloud-based implementation experience (Snowflake, Azure, AWS, Databricks etc)
• Experience in designing and implementing Big Data platform solutions using open source and third-party tools

This job is eligible for bonus/incentive pay.

We offer comprehensive package of benefits including paid time off, medical insurance to eligible employees.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.

Join our winning team today. Together, we'll accelerate the real-life impact of tomorrow's science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.

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At Danaher, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.