Sr Data Scientist

Job Description

The Senior Data Scientist specializes in developing and programming methods, processes, and systems to consolidate and analyze structured, unstructured and/or diverse "big data" sources to generate insights and solutions for Sherwin-Williams PSG and CBG marketing groups. This involves identifying insights from data, interpreting and communicating findings to management. By using statistical analysis, Machine Learning (ML) techniques, and data visualization, the Senior Data Scientist will uncover patterns and trends within data to help the business make informed decisions and solve complex problems.

Responsibilities

Analyze large amounts of complex data to extract insights and drive decision-making through data visualization tools and presentation.

Design, develop and program methods, processes, and systems to consolidate and analyze structured, unstructured, and diverse "big data" sources to generate actionable insights and solutions for Sherwin-Williams PSG and CBG marketing groups.

Interact with marketing teams to identify questions and issues for data analysis and experiments.

Understand and apply key business concepts, strategies, and practices to effectively analyze how data aligns with business objectives and impacts decision-making processes.

Identify meaningful insights from large data and metadata sources; interpret and communicate insights and findings from analysis and experiments to marketing and business managers.

Develop statistical models, machine learning algorithms, and predictive analytics solutions to address business challenges.

Qualifications

FORMAL EDUCATION:

• Required

• Bachelor's degree in Data Science, Marketing Analytics, Statistics, Math, Business Analytics, or related field, or in lieu of related degree, at least 7 years of experience in AI, Data Science, or related field

• Preferred

• MBA or Graduate-level degree

• Related certifications (e.g., Machine Learning, Artificial Intelligence) preferred

KNOWLEDGE & EXPERIENCE

Required:

• 7+ years of experience in AI, Data Science, or related field

• Knowledge of machine learning algorithms, statistical models, and data mining techniques

• Experience in designing and implementing data-related AI solutions for complex business problems

• Excellent communication and stakeholder management skills, with the ability to present technical ideas and results to non-technical audiences

TECHNICAL SKILLS:

Required:

• Programming Languages (e.g., Python, R)
• AI and Machine Learning Frameworks (e.g., Scikit-learn, H2O, Dataiku)
• Cloud Computing Platforms: (e.g., AWS, Azure, Google Cloud Platform)
• Database Technologies (e.g., SQL, Spark)
• Data Visualization Tools (e.g., Tableau, Power BI)
• Prompt Engineering

Preferred:

• AI and Machine Learning Frameworks (e.g., TensorFlow, Keras, PyTorch)

• Database Technologies (e.g., NoSQL, Hadoop)

TRAVEL

5%

About Us

At Sherwin-Williams, our purpose is to inspire and improve the world by coloring and protecting what matters. Our paints, coatings and innovative solutions make the places and spaces in our world brighter and stronger. Your skills, talent and passion make it possible to live this purpose, and for customers and our business to achieve great results. Sherwin-Williams is a place that takes its stability, growth and momentum and translates it to possibility for our people. Our people are behind the strength of our success, and we invest and support you in:

Life ... with rewards, benefits and the flexibility to enhance your health and well-being
Career ... with opportunities to learn, develop new skills and grow your contribution
Connection ... with an inclusive team and commitment to our own and broader communities
It's all here for you... let's Create Your Possible

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 employer. 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.