Manager Data Science

Abbott LaboratoriesMumbai, MaharashtraOn-siteFull-timeSenior, 5–8 yearsListed 2 hours ago

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About this role

JOB DESCRIPTION:

Job Description:

Abbott Healthcare is looking for an experienced data scientist with proven track record of solutioning and delivering AI/ML solutions. The candidate should conduct and manage analysis and modelling as well as communicate results to the senior stakeholders.

• Lead the design and development of advanced analytical and AI/ML solutions, transforming large data into meaningful business insights, as independent contributor or with junior team members

• Collaborate with cross-functional teams to understand the business problems to frame the project outline; to leverage available data and systems to address the same

• Build and present strong narratives based on insights and impact to the senior stakeholders on regular basis

• Implement and maintain the effectiveness of the solution quality. Provide data and metrics compliant with the Business

• Mentor and guide junior data scientists, providing support in developing their technical skills and career growth

Skills:

• Strong analytical and data interpretation skills

• Experience building and deploying end-to-end AI/ML solutions on AWS or Azure platform

• Strong programming skills and expertise in using SQL and Python for Data Science

• Hands-on experience in implementation of various statistical and machine learning algorithms as per the project requirement

• Ability to thrive in a fast-paced environment driving multiple projects simultaneously

• Strong written and verbal communication skills

Qualifications:

Bachelor’s or Master’s degree in Computer Science or related field, with at least 6 years of demonstrated experience in developing and delivering AI/ML solutions

The base pay for this position is
N/A
In specific locations, the pay range may vary from the range posted.

## JOB FAMILY:
Sales Support & Administration

## DIVISION:
EPD Established Pharma

## LOCATION:
India > Mumbai : BKC Building

ADDITIONAL LOCATIONS:

## WORK SHIFT:
Standard

## TRAVEL:
Not specified

## MEDICAL SURVEILLANCE:
Not Applicable

## SIGNIFICANT WORK ACTIVITIES:
Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day)