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Optimization Scientist

Cargill

Optimization Scientist

Cargill

Bangalore, India

·

On-site

·

Full-time

·

2w ago

Required Skills

Python

Optimization

Object-oriented programming

Job Purpose and Impact

The Optimization Scientist will work collaboratively in multidisciplinary teams to develop proof of concepts, minimum viable products and fully deployable solutions. In this role, you will create predictive and optimization models that help deliver significant value to the organization's businesses and functions.

  • Key Accountabilities
  • Continuously seek out best practices and develop skills.
  • Contribute to design, and implementation of new features, and deploy optimization solutions for intelligent supply chain applications.
  • Work and consult on multidisciplinary teams of data engineers, software engineers, data scientists, and business subject-matter experts to deliver highly complex large-scale projects on time.
  • Take ownership and work with limiter supervision for the entire supply chain data science workflow including well defined, highly complex project scoping, exploratory data analysis, model development, deployment and monitoring.
  • Work on multidisciplinary teams of data engineers, software engineers, data scientists, and business subject-matter experts to deploy complex large-scale projects on time.
  • Provide expert thought leadership in optimization and work with limited direction, using additional research and interpretation to identify issues or problems. You may provide direction to supporting team members and be a strategic contributor. Other duties as assigned.

Qualifications:

MINIMUM QUALIFICATIONS:

  • Bachelor's degree in Computer science, Operational Research, Math OR related field OR Equivalent Experience.
  • Deep understanding of optimization (constrained, convex and non-convex optimization problems, and LP, QP, MILP, MINLP, problems and solvers).
  • Strong coding skills in Python (or similar object-oriented programming language).
  • Minimum of 4 years of related work experience.

PREFERRED QUALIFICATIONS:

  • Three or more years' experience in Supply chain
  • Master's degree or PhD in Computer science, Artificial Intelligence, Optimization, Operational Research OR Math OR related field.
  • Professional experience applying optimization for Supply Chain solutions.
  • Experience on Optimizer model development with Gurobi, CPLEX.
  • Experience with scalable Machine Learning (distributed systems, Map Reduce, streaming, etc.).

Disclamer

Protect yourself against recruitment fraud. Cargill will not ask for money, processing fees, or bank information as a pre-condition of employment. We are aware that unauthorized individuals may have posed as Cargill recruiters, made contact about job opportunities, and extended job offers via text message, instant message or chat rooms. To ensure a job posting is legitimate, it must be listed on the Cargill.com/Careers website.
Learn how to protect yourself from recruitment fraud

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About Cargill

Cargill

Cargill

Public

Multinational food company.

10,001+

Employees

Minnetonka

Headquarters

Reviews

3.7

9 reviews

Work Life Balance

2.8

Compensation

4.0

Culture

3.2

Career

4.1

Management

3.0

65%

Recommend to a Friend

Pros

Good learning opportunities and exposure to different areas

Competitive pay and benefits

Supportive teams and bosses

Cons

Heavy workload and time-sensitive demands

Management favoritism and lack of appreciation

High turnover rate

Salary Ranges

477 data points

Junior/L3

L2

L3

L4

L5

L6

M3

M4

M5

M6

Senior/L5

Staff/L6

Junior/L3 · Data Scientist

0 reports

$210,000

total / year

Base

$190,000

Stock

-

Bonus

$20,000

$178,500

$241,500

Interview Experience

5 interviews

Difficulty

2.6

/ 5

Duration

14-28 weeks

Offer Rate

20%

Experience

Positive 80%

Neutral 20%

Negative 0%

Interview Process

1

Application Review

2

HR Screen

3

Technical Interview with Manager

4

Panel Interview

5

Plant Tour/Site Visit

6

Offer

Common Questions

Behavioral/STAR

Technical Knowledge

Past Experience

Culture Fit