Data Science Analyst

Data Science Analyst
Remote TBD

Empower Those Who Make The World

At Stanley Black & Decker, we believe in the power of people with purpose, integrity, and a relentless drive for excellence. Join our global team of 53, 000+ professionals across 60 countries, making an impact on iconic brands like DEWALT, CRAFTSMAN, STANLEY, BLACK+DECKER, IRWIN, LENOX, and more.

Your Impact

As a Data Scientist on our Brand and Product Analytics team, you will:

• Deliver actionable insights by collecting, mining, and analyzing complex data sets to drive business decisions and growth.
• Apply data science, machine learning, and artificial intelligence including emerging Generative AI tools and techniques to solve real-world business challenges.
• Stay current with the latest technologies (Gen AI, LLMs, cloud-native analytics) and leverage them to enhance our analytics capabilities.
• Collaborate with stakeholders to define goals, select KPIs, monitor performance, and identify trends and opportunities.
• Identify, design, and implement data process improvements, such as automating manual workflows, optimizing data infrastructure for scalability, and enhancing data delivery.
• Diagnose system deficiencies and recommend practical, effective solutions.
• Partner with IT and business teams to shape analytics and technology roadmaps aligned with strategic objectives.
• Champion a data-driven culture, working with analytics and commercial experts to maximize the value of our data assets.
• Provide robust data foundations for insights across Operations/Supply Chain, Marketing, Finance, Commercial, and more.

Who You Are

You are a curious, creative problem solver who thrives in a fast-evolving field. You embrace innovation, adapt quickly, and are passionate about learning new technologies. You bring:

• 2+ years experience in data science, advanced analytics, or a related field
• Bachelor s degree in a technical field such as Computer Science, Statistics, Mathematics, Data Science, Engineering, Machine Learning, or a closely related discipline
• Excellent communication skills (written & spoken), with the ability to explain complex concepts to non-technical audiences
• Strong problem-solving abilities : You approach challenges analytically and creatively, using data-driven methods to identify root causes and develop effective solutions. You are comfortable tackling ambiguous problems and breaking them down into actionable steps.
• Python expertise : Highly proficient in Python for data analysis, modeling, and automation, with the ability to write clean, efficient, and well-documented code.
• SQL proficiency : Strong skills in SQL for querying, manipulating, and managing large datasets across different database systems.
• Good coding skills : Comfortable with general programming concepts, version control (e. g. , Git), and collaborative codebases.
• Experience developing and tracking Sales, Marketing, Finance, and Commercial metrics
• Expertise in Financial Modeling, Sensitivity Analysis, and A/B Testing
• Hands-on experience with cloud platforms (Snowflake, AWS, GCP, Azure) and modern data architectures
• Proficiency with Data Mining and ETL tools (SQL, Python, R, db2, Alteryx, Knime, etc. )
• Experience designing and implementing real-time data pipelines and handling streaming data
• Proficiency with data visualization tools such as Power BI, Tableau, or similar platforms to communicate insights effectively
• Familiarity with Generative AI, Large Language Models (LLMs), and their business applications (you don t need to be an expert, but you should be comfortable using and learning about these technologies)
• Experience with Forecasting, Risk Modeling, Product Portfolio Optimization, Market Mix Modeling, LTV Modeling, and Financial Forecasting

Nice to Have:

• Experience in Manufacturing, CPG, or Retail sales environments
• Software development skills, including source code management (GitHub, BitBucket, Azure DevOps Repos, etc. )
• Experience with MLOps, model deployment, and monitoring in production environments
• Familiarity with data privacy, security, and responsible AI practices

What You ll Receive

• Competitive salary and comprehensive benefits
• Opportunities for professional growth and career advancement across our 20+ global brands
• Access to world-class learning resources, including Lean Academy, Coursera, and our online university
• A diverse, inclusive, and respectful workplace culture
• Opportunities to give back through volunteerism and sustainable business practices

Why Stanley Black & Decker

We re more than the #1 tools and storage company and #2 security solutions provider, with a leading presence in engineered fastening. We re visionaries and Industry 4. 0 innovators. Join us and help empower makers, doers, protectors, and everyday heroes all over the world.

All qualified applicants to Stanley Black & Decker are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran s status, or any other protected characteristic.

Data Science Analyst
Remote TBD

Empower Those Who Make The World

At Stanley Black & Decker, we believe in the power of people with purpose, integrity, and a relentless drive for excellence. Join our global team of 53, 000+ professionals across 60 countries, making an impact on iconic brands like DEWALT, CRAFTSMAN, STANLEY, BLACK+DECKER, IRWIN, LENOX, and more.

Your Impact

As a Data Scientist on our Brand and Product Analytics team, you will:

• Deliver actionable insights by collecting, mining, and analyzing complex data sets to drive business decisions and growth.
• Apply data science, machine learning, and artificial intelligence including emerging Generative AI tools and techniques to solve real-world business challenges.
• Stay current with the latest technologies (Gen AI, LLMs, cloud-native analytics) and leverage them to enhance our analytics capabilities.
• Collaborate with stakeholders to define goals, select KPIs, monitor performance, and identify trends and opportunities.
• Identify, design, and implement data process improvements, such as automating manual workflows, optimizing data infrastructure for scalability, and enhancing data delivery.
• Diagnose system deficiencies and recommend practical, effective solutions.
• Partner with IT and business teams to shape analytics and technology roadmaps aligned with strategic objectives.
• Champion a data-driven culture, working with analytics and commercial experts to maximize the value of our data assets.
• Provide robust data foundations for insights across Operations/Supply Chain, Marketing, Finance, Commercial, and more.

Who You Are

You are a curious, creative problem solver who thrives in a fast-evolving field. You embrace innovation, adapt quickly, and are passionate about learning new technologies. You bring:

• 2+ years experience in data science, advanced analytics, or a related field
• Bachelor s degree in a technical field such as Computer Science, Statistics, Mathematics, Data Science, Engineering, Machine Learning, or a closely related discipline
• Excellent communication skills (written & spoken), with the ability to explain complex concepts to non-technical audiences
• Strong problem-solving abilities : You approach challenges analytically and creatively, using data-driven methods to identify root causes and develop effective solutions. You are comfortable tackling ambiguous problems and breaking them down into actionable steps.
• Python expertise : Highly proficient in Python for data analysis, modeling, and automation, with the ability to write clean, efficient, and well-documented code.
• SQL proficiency : Strong skills in SQL for querying, manipulating, and managing large datasets across different database systems.
• Good coding skills : Comfortable with general programming concepts, version control (e. g. , Git), and collaborative codebases.
• Experience developing and tracking Sales, Marketing, Finance, and Commercial metrics
• Expertise in Financial Modeling, Sensitivity Analysis, and A/B Testing
• Hands-on experience with cloud platforms (Snowflake, AWS, GCP, Azure) and modern data architectures
• Proficiency with Data Mining and ETL tools (SQL, Python, R, db2, Alteryx, Knime, etc. )
• Experience designing and implementing real-time data pipelines and handling streaming data
• Proficiency with data visualization tools such as Power BI, Tableau, or similar platforms to communicate insights effectively
• Familiarity with Generative AI, Large Language Models (LLMs), and their business applications (you don t need to be an expert, but you should be comfortable using and learning about these technologies)
• Experience with Forecasting, Risk Modeling, Product Portfolio Optimization, Market Mix Modeling, LTV Modeling, and Financial Forecasting

Nice to Have:

• Experience in Manufacturing, CPG, or Retail sales environments
• Software development skills, including source code management (GitHub, BitBucket, Azure DevOps Repos, etc. )
• Experience with MLOps, model deployment, and monitoring in production environments
• Familiarity with data privacy, security, and responsible AI practices

What You ll Receive

• Competitive salary and comprehensive benefits
• Opportunities for professional growth and career advancement across our 20+ global brands
• Access to world-class learning resources, including Lean Academy, Coursera, and our online university
• A diverse, inclusive, and respectful workplace culture
• Opportunities to give back through volunteerism and sustainable business practices

Why Stanley Black & Decker

We re more than the #1 tools and storage company and #2 security solutions provider, with a leading presence in engineered fastening. We re visionaries and Industry 4. 0 innovators. Join us and help empower makers, doers, protectors, and everyday heroes all over the world.

All qualified applicants to Stanley Black & Decker are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran s status, or any other protected characteristic.

We Don t Just Build The World, We Build Innovative Technology Too.

Joining the Stanley Black & Decker team means working in an innovative, tech-driven and highly collaborative team environment supported by over 58, 000 professionals in 60 countries across the globe. Here, you ll get the unique chance to impact some of the world s most iconic brands including STANLEY TOOLS, DEWALT, CRAFTSMAN, MAC TOOLS and Black + Decker. Your ideas and solutions have the potential to reach millions of customers as we work together to write the next chapter in our history. Come build with us and take your career to new heights.

Who We Are

We re the World s largest tool company. We re industry visionaries. We re solving problems and advancing the manufacturing trade through innovative technology and our Industry 4. 0 Initiative. We are committed to ensuring our state-of-the-art smart factory products and services provide greater quality to our customers & greater environmental and social value to our planet. We are unique in that we have a rich and storied history dating back to 1843, but that hasnt stopped us from evolving into a vibrant, diverse, global growth company.

Global Benefits & Perks
You ll be rewarded with a competitive salary plus receive entitlements and benefits unique to your country of hire.

What You ll Also Get

Career Opportunity: Career paths aren t linear here. Being part of our global company with 60+ brands gives you the chance to grow and develop your skills along multiple career paths.

Learning & Development:
Our lifelong learning philosophy means you ll have access to a wealth of state-of-the-art learning resources, including our Lean Academy and online university (where you can get certificates and specializations from renowned colleges and universities).

Diverse & Inclusive Culture:
We pride ourselves on being an awesome place to work. We respect and embrace differences because that s how the best work gets done. You ll find we like to have fun here, too.

Purpose-Driven Company:
You ll help us continue to make positive changes in the local communities where we work and live as well as in the broader world through volunteerism, giving back and sustainable business practices.