Data Science Analyst
- Stanley Black
- 2 - 5 years
- Bengaluru
- 2 months ago
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Job Description
Data Science Analyst--Bangalore, Karnataka, India --Type (Virtual) Come build something that matters. It takes great people to achieve greatness. People with a sense of purpose and integrity. People with a relentless pursuit of excellence. People who care about making things better For Those Who Make The World. Sound like you? Join our top-notch team of more than 50,000 diverse and high-performing professionals globally who are making their mark on some of the world's most beloved brands, including DEWALT, BLACK+DECKER, CRAFTSMAN, STANLEY, CUB CADET, and HUSTLER.The Job:
As a Data Science Analyst, you will be part of our Product Analytics team working as a virtual employee. You'll get to:
- 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.
The Person:
You love to learn and grow and be acknowledged for your valuable contributions. You are not intimidated by innovation. Would not it be great if you could do your job and do a world of good? In fact, you embrace it.
You also have:
- 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
And More:
We want our company to be a place you will want to be -- and stay. Being part of our team means you will get to:
Grow: Be part of our global company with 20+ brands to grow and develop your skills along multiple career paths.
Learn: Have access to a wealth of learning resources, including our Lean Academy, Coursera, and online university.
Belong: Experience an awesome place to work where we have mutual respect and a great appreciation for diversity, equity, and inclusion.
Give Back: Help us continue to make positive changes locally and globally through volunteerism, giving back, and sustainable business practices. What is more, you will get that pride that comes from empowering makers, doers, protectors, and everyday heroes all over the world. We are more than the #1 tools company. More than a driving force in outdoor power equipment. More than a global leader in industrial. We are visionaries and innovators. As successful as we have been in the past, we have so much further to go. That is where you come in. Join us!
Job Classification
Industry: Engineering & ConstructionFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data Science & Machine Learning - OtherEmployement Type: Full timeContact Details:
Company: Stanley BlackLocation(s): Bengaluru
Keyskills: Data Modeling Python Data Science Statistical Modeling Data Visualization Cloud Platform Data Analytics Machine Learning SQL
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