Sr Data Scientist - Optimization/Operations Research

Key Skills

Data science techniques, Google Cloud Platform (GCP), Optimization, Python Programming, SQL, Statistics, Supply Chain Management

Job Description

To make the food people love, we need to make sure we feed our decision makers the right data and solutions at the right time, every time. As a Senior Data Scientist at General Mills, you will apply your strong expertise in machine learning, data mining and information retrieval to design, prototype and build next generation advanced analytics engine and services. You will collaborate with product owners, business partners and other Data Scientists in the supply chain space to define technical problem statement and hypothesis to test. In addition, you will develop efficient and accurate analytical models that mimic business decisions.

KEY ACCOUNTABILITIES

• Work closely with data science leadership, machine learning engineering, and business partners / product owners to develop optimization and machine learning models using best in class tools and technology.
• Provide data science leadership within a product team through strong partnership, actionable insights, strategic and tactical technical roadmap recommendations.
• Construct production ready, reusable, large scale or scalable complex optimization, simulation & machine learning models that provide real time insights aligning with General Mills technology standards.
• Design and development of modelling framework and architecture for deterministic / combinatorial optimization and advanced machine learning to solve complex supply chain problems in variety of areas like supply-demand planning, procurement, manufacturing, logistics etc.
• Be a storyteller to explain the ‘why and how’ of data driven recommendations to cross-functional teams.
• Responsible for monitoring and improvement of model performance metrics in terms of accuracy, optimal / near optimal recommendations with feedback incorporated from business partners.
• Design, prototype and build next generation supply chain engines and services delivering productivity improvement and cost reductions using advanced modelling expertise and literature research.
• Be a part of the team, collaborate, ask questions, engage, and solicit feedback from other Data Scientists
• In addition to project based work, will be expected to participate in activities such as technical standards definition and modelling documentations

MINIMUM QUALIFICATIONS

• 4+ years of relevant data science experience with at least 1 years of experience in linear optimization
• Bachelor’s Degree required in any of quantitative field.
• High proficiency with Python programming in developing optimization models using different types of solvers suite.
• Hands on experience building IP / MIP models with sound knowledge of supporting algorithms.
• Comfortable working with large and dynamic Data Frames & writing complex SQL queries.
• Highly adaptable, curious, and willing to work independently on complex and challenging problems.
• Bias for action with ability to deliver outstanding results through task prioritization and time management.

PREFERRED QUALIFICATIONS

• Master's degree in any of the quantitative field (Operations research / Statistics / Industrial engineering) or computer science with commensurate work experience in supply chain technology or data science
• Relevant experience in Data Science with a preference for supply chain optimization / operations research experience
• Experience with Google Cloud Platform or other cloud platforms

CONSIDERATIONS:

• We are open to 100% remote candidates with occasional travel based on business needs.
• International relocation or international remote working arrangements (outside of the US) will not be considered.

Salary Range

The salary range for this position is $104700.00 - $174600.00 / Annually. At General Mills we strive for each employee's pay at any point in their career to reflect their experiences performance and skills for their current role. The salary range for this role represents the numerous factors considered in the hiring decisions including, but not limited to, educations, skills, work experience, certifications, etc. As such, pay for the successful candidate(s) could fall anywhere within the stated range. Beyond base salary, General Mills offers a competitive Total Rewards package focusing on your overall well-being. We are proud to offer a foundation of health benefits, retirement and financial wellbeing, time off programs, wellbeing support and perks. Benefits may vary by role, country, region, union status, and other employment status factors. You may also be eligible to participate in an annual incentive program. An incentive award, if any, depends on various factors, including, individual and organizational performance.