Senior Data Scientist

Company:  Sherwin-Williams
Location: Cleveland
Closing Date: 01/12/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description

Here, we believe there’s not one path to success, we believe in careers that grow with you. Whoever you are or wherever you come from in the world, there’s a place for you at Sherwin-Williams. We provide you with the opportunity to explore your curiosity and drive us forward. Sherwin-Williams values the unique talents and abilities from all backgrounds and characteristics. All qualified individuals are encouraged to apply, including individuals with disabilities and Protected Veterans. We’ll give you the space to share your strengths and we want you show us what you can do. You can innovate, grow and discover in a place where you can thrive and Let Your Colors Show! 

At Sherwin-Williams, part of our mission is to help our employees and their families live healthier, save smarter and feel better. This starts with a wide range of world-class benefits designed for you. From retirement to health care, from total well-being to your daily commute—it matters to us. A general description of benefits offered can be found at . Click on “Candidates” to view benefit offerings that you may be eligible for if you are hired as a Sherwin-Williams employee.

Compensation decisions are dependent on the facts and circumstances of each case and will impact where actual compensation may fall within the stated wage range. The wage range listed for this role takes into account the wide range of factors considered in making compensation decisions including skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled.

The wage range, other compensation, and benefits information listed is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable federal, state, and local laws including with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act where applicable.

Sherwin-Williams is proud to be an Equal Employment Opportunity/Affirmative Action employer committed to an inclusive and diverse workplace. All qualified candidates will receive consideration for employment and will not be discriminated against based on race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, pregnancy, genetic information, creed, marital status or any other consideration prohibited by law or by contract.

As a VEVRAA Federal Contractor, Sherwin-Williams requests state and local employment services delivery systems to provide priority referral of Protected Veterans.

Please be aware, Sherwin-Williams recruiting team members will never request a candidate to provide a payment, ask for financial information, or sensitive personal information like national identification numbers, date of birth, or bank account numbers during the application process.
CORE RESPONSIBILITIES AND TASKS:          

(1) Discrete Event Simulation modeling lead:

Lead the planning, development, and execution of discrete event simulations to model complex systems and processes

Collaborate with cross-functional teams to understand project requirements and translate them into simulation models

Communicate findings and progress to stakeholders, including technical and non-technical audience

(2) Technical and design leadership of data science solutions:

Participate in project discovery through requirements gathering, analysis, design documentation, and impact analysis for model design, including taking a leadership role in project analysis and requirements gathering where required

Plan and organize tasks, report progress, and coordinate with other team members

Review existing code base(s) and recommend improvements

Utilize SQL for data extraction, transformation, and loading (ETL) processes to support simulation and analysis

Apply object-oriented design principles to develop scalable and maintainable models

(3) Facilitation of simulation models to production-ready state:

Develop and implement strategies for moving simulation solutions to a production-ready state, ensuring scalability, reliability, and performance

Incorporate mature testing and simulation validation processes

Collaborate with the AI Product Delivery team to integrate models into both transactional and analytical business applications where required

(4) Mentoring & research:

Mentor and guide junior-level data scientists and team members in best practices for simulation and data analysis

Stay up-to-date with the latest advancements in data science, simulation techniques, and related technologies

“Job duties include contact with other employees and access confidential and proprietary information and/or other items of value, and such access may be supervised or unsupervised. The Company therefore has determined that a review of criminal history is necessary to protect the business and its operations and reputation and is necessary to protect the safety of the Company’s staff, employees, and business relationships.” 

FORMAL EDUCATION:

Required:

Bachelor’s degree (or equivalent experience) in any one of the following: Data Science, Statistics, Operations Research, Mathematics, Computer Science/Engineering, Physics, Chemistry, Electrical/Mechanical Engineering or any other applicable Engineering/Sciences degree

KNOWLEDGE & EXPERIENCE:

Required:

5+ years IT or Analytics experience

Proficient in software development and support methodologies

Experience leading analytics initiatives or software projects from start to finish

Basic understanding of essential business functions of an organization

Proficient in Microsoft Office applications

Preferred:

Supply chain and operations knowledge

TECHNICAL/SKILL REQUIREMENTS:

Required:

Knowledge of and familiarity with software engineering models and toolsets (git, github, and Jira in particular)

Familiarity with testing and performing quality checks on production-level code

Strong analytical, conceptual, and problem-solving skills.

Self-starter who takes initiative to learn and research new concepts, ideas, and technologies quickly.

Preferred:

Work experience in programming using Python (or R) and SQL

Possess a fundamental understanding statistical modeling and/or machine learning algorithm (e.g. regressions, decision trees, k-means clustering, neural networks) 

TRAVEL REQUIREMENTS: (TIME SPENT AWAY FROM HOME OR OTHER TYPICAL OFFICE LOCATION)

10%

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