招聘
Required Skills
Machine learning
Python
SQL
Data analysis
Problem-solving
JOB DESCRIPTION:
- Manager
- Data Science
Location: Mumbai - Job Description: You will be part of the Advanced Analytics team, and will work alongside business analysts, software engineers, and other business stakeholders to solve key challenges.
- Understand business objectives and formulate the business problem as a Data Science problem
Procure data from multiple data sources and convert it into analytical dataset to perform predictive modelling
Develop end-to-end solution by evaluating and choosing appropriate models, ensuring accuracy and explainability in the outcome
Skills:
- Hands-on experience in building end-to-end data science solutions using various machine learning techniques
- Strong programming skills and expertise in using SQL, and Python for Data Analysis and Data Science
- Experience building solution in at least one of the cloud platforms preferred: AWS, or Azure
- Excellent problem-solving mindset and ability to manage own work in a fast-paced environment
- Strong written and verbal communication as well as experience in stakeholder management
Qualifications:
Bachelor’s or master’s degree in computer science or related field, with 4 years of demonstrated experience in developing ML algorithms, with a proven track record of successfully delivering projects to production
The base pay for this position is
N/AIn 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 standing for prolonged periods (more than 2 consecutive hours in an 8 hour day)
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About Abbott

Abbott
PublicAbbott 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
Mid/L4
Senior/L5
Intern
Mid/L4 · Project Manager
215 reports
$136,922
total / year
Base
$117,670
Stock
-
Bonus
$11,503
$94,554
$201,278
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
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