📋 Job Details at a Glance 📍 Location Pune, Maharashtra, India 🏢 Company Williams-Sonoma 👥 Experience 4-8 years 🎓 Qualification Bachelor's / Master's Degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or Related Field 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹20–35 LPA* 🏢 Industry Technology 🛠 Key Skills Python SQL Pandas NumPy Scikit-learn Machine Learning Feature Engineering Model Evaluation Spark PySpark Sr. Data Scientist / Data Scientist at Williams-Sonoma — Full Details & How to Apply Williams-Sonoma is seeking a Sr. Data Scientist in Pune, Maharashtra, India , where you can leverage your expertise in machine learning and data analysis to drive impactful business decisions. This role is pivotal in enhancing product recommendations and customer insights, directly influencing user experience and driving sales. The demand for data-driven decision-making in the technology sector is surging, making this specific Sr. Data Scientist role essential for Williams-Sonoma 's strategic initiatives. As the company continues to innovate in home furnishings and kitchenware, your contributions will help shape the future of its data analytics capabilities. Founded in 1956 , Williams-Sonoma has over 25,000 employees globally and is recognized for its innovative approach to home products. The company fosters a culture of collaboration and creativity, making it an ideal environment for professionals looking to grow in the tech industry. Joining Williams-Sonoma means becoming part of a legacy of excellence and innovation. We encourage 2023, 2024, 2025, 2026 graduates with a Bachelor's / Master's Degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or Related Field and 4-8 years experience to apply. This position offers a competitive salary ranging from ₹20–35 LPA* , making it an attractive opportunity in the Pune, Maharashtra, India jobs market. In this role, you will work with essential skills such as Python , SQL , Pandas , NumPy , Scikit-learn , Machine Learning , Feature Engineering , Model Evaluation , Spark , PySpark , Azure , and CI/CD . This exposure not only enhances your technical expertise but also opens doors for career advancement in a leading tech company. 📊 Role Difficulty: Medium | Competition Level: High | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The core mission of the Sr. Data Scientist at Williams-Sonoma is to leverage data analytics and machine learning to drive strategic decisions and enhance product offerings through actionable insights. Analyze large datasets using Python and SQL to extract actionable insights that inform data-driven strategies. Develop and implement machine learning models with Scikit-learn to enhance product recommendation systems, improving customer engagement. Collaborate with cross-functional teams, including marketing and product development, to align data initiatives with business objectives. Monitor and evaluate model performance metrics, ensuring accuracy and relevance in real-time applications through systematic testing. Take ownership of feature engineering processes using Pandas and NumPy to enhance model capabilities and drive innovation. Document methodologies and findings clearly for internal stakeholders, ensuring transparency and effective knowledge sharing. Engage with clients to understand their data needs and provide tailored analytical solutions that meet specific requirements. This role fosters an ownership culture where your contributions directly impact business outcomes and drive innovation within Williams-Sonoma . Required Skills & Technical Competencies The ideal candidate for the Sr. Data Scientist position must possess a robust skill profile in data analytics and machine learning technologies. Technical Skills Python — advanced — essential for data manipulation and analysis, utilizing libraries like Pandas and NumPy for effective data handling. SQL — advanced — critical for querying databases and managing data efficiently within the company's data ecosystem. Machine Learning — advanced — practical application in developing predictive models that directly impact business outcomes and enhance product recommendations. Azure — intermediate — familiarity with cloud services for deploying machine learning models and managing data pipelines effectively. CI/CD — intermediate — understanding of continuous integration and deployment practices to streamline model updates and enhancements. When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and impact. Eligibility Criteria This role is designed for candidates with a strong academic background and relevant experience in data science and analytics. Candidates must hold a Bachelor's or Master's Degree in Computer Science , Data Science , Statistics , Mathematics , Engineering , or related fields. Eligible batches include 2023 to 2026 , allowing recent graduates to apply and kickstart their careers in data science. The experience requirement of 4-8 years indicates a preference for candidates with practical exposure, while freshers with relevant internships may also be considered. A minimum academic performance of 60% is expected to ensure a strong theoretical background in data-related subjects. Having a portfolio or GitHub showcasing relevant projects or internships can significantly enhance a candidate's profile. Documentation & Portfolio Requirements Ensure your resume is well-structured, highlighting relevant skills and experiences, and include a portfolio that showcases your data science projects and analytical capabilities. Pro tip: Tailor your application to highlight specific projects where you utilized Python and Machine Learning to solve real-world problems. Salary for Sr. Data Scientist / Data Scientist at Williams-Sonoma 💰 Compensation ₹20–35 LPA* The advertised compensation for the Sr. Data Scientist / Data Scientist role at Williams-Sonoma is ₹20–35 LPA* . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Sr. Data Scientist / Data Scientist Upskilling with the right resources significantly enhances your chances of selection for this role by ensuring you meet the required skill set. Recommended Courses & Resources Python — Essential for data manipulation and analysis in data science projects. SQL — Crucial for database management and data retrieval tasks. Pandas — Key library for data manipulation and analysis in Python. NumPy — Fundamental for numerical computations and data handling. KodNest — Offers practical coding challenges to sharpen your data science skills. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor the resume — Highlight specific skills mentioned in the job description. ❌ Neglecting to quantify achievements — Use metrics to strengthen your application. ❌ Overlooking the importance of a strong cover letter — Connect your background to the company's needs. ❌ Submitting a generic application — Address the unique aspects of Williams-Sonoma . ❌ Not preparing for technical interviews — Practice relevant data science problems and case studies. ❌ Ignoring the significance of networking — Gain insights and referrals within the industry. Before You Apply — Checklist ✅ Research Williams-Sonoma 's recent projects and initiatives to tailor your application. ✅ Update your resume to reflect relevant skills and experiences specific to the job. ✅ Prepare a cover letter that articulates your interest in data science and the company. ✅ Gather references who can speak to your analytical skills and work ethic. ✅ Ensure your LinkedIn profile is up-to-date and reflects your application. ✅ Review the application portal for any specific instructions or requirements. ✅ Practice common data science interview questions and scenarios. ✅ Set reminders for follow-up after submitting your application. Resume Tailoring & ATS Keywords for Sr. Data Scientist / Data Scientist Optimizing your resume for ATS is crucial for ensuring it gets noticed for this role. ATS Keywords to Include Data Scientist Machine Learning Python SQL Feature Engineering Model Evaluation Pandas NumPy Scikit-learn Spark PySpark Azure Resume Tips for This Role Highlight relevant projects that demonstrate your proficiency in machine learning and data analysis. Emphasize teamwork and collaboration experiences, especially in cross-functional settings. Include links to your portfolio or GitHub to showcase practical applications of your skills. Optimize your resume for ATS by incorporating keywords from the job description. Avoid including unrelated work experiences that do not demonstrate your data science capabilities. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Avoid including generic skills that do not relate to data science, as they dilute your focus. How to Apply for Sr. Data Scientist / Data Scientist at Williams-Sonoma Apply Now — Williams-Sonoma Visit the application portal and create an account to start your application. Upload your resume in PDF format, ensuring it is tailored to the job description. Fill out the application form accurately, highlighting your relevant experiences. After submission, you can expect a confirmation email regarding your application status. Use the application portal to track your application progress and any updates. Applications reviewed on a rolling basis — early submission recommended. Apply Now — Williams-Sonoma NexisGrow.com does not charge any fees for job applications. Williams-Sonoma Founded in 1956 , Williams-Sonoma has evolved into a significant player in the home furnishings industry, with its headquarters located in San Francisco . The company operates in over 60 countries , showcasing a robust global footprint that underscores its influence in the market. Williams-Sonoma is well-known for its premium kitchenware and home furnishings, featuring brands such as Pottery Barn and West Elm . The company offers a diverse range of products, including cookware, furniture, and home décor, catering to a wide array of customer preferences. The workplace culture at Williams-Sonoma has garnered recognition, evidenced by its Glassdoor rating of 4.0 . This rating reflects the company’s focus on employee satisfaction, with comprehensive training programs and development opportunities that foster growth and innovation among its workforce. Recently, Williams-Sonoma has made significant strides in enhancing its e-commerce capabilities. The company has invested in advanced technology to improve customer engagement and streamline operations, positioning itself for future growth in the digital marketplace. For freshers in Technology, Williams-Sonoma serves as a strong career launchpad. The company’s established brand reputation, combined with its commitment to employee development and innovative projects, provides a solid foundation for those looking to build a successful career in the tech industry. Company Details Industry Technology Location Pune, Maharashtra, India Connect With Us Careers Apply Now Website 🔗 ehac.fa.us6.oraclecloud.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Sr. Data Scientist / Data Scientist at Williams-Sonoma? Eligibility Tap to expand + Answer Candidates with Bachelor's / Master's Degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or Related Field and 4-8 years experience are eligible. Eligible batches: 2023, 2024, 2025, 2026. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Python, SQL, Pandas, NumPy, Scikit-learn. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹20–35 LPA*. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Williams-Sonoma? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the official link in How to Apply section. Highlight: Python, SQL, Pandas, NumPy, Scikit-learn. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Sr. Data Scientist / Data Scientist interview? Preparation Tap to expand + Answer (1) Core concepts of Python, SQL, Pandas, NumPy, Scikit-learn, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Williams-Sonoma research, (5) Clear communication. ? What is the work culture like at Williams-Sonoma? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. NexisGrow.com features only verified employers. 🔗 Explore More on NexisGrow More jobs in Pune Browse all Tech jobs Latest Fresher jobs More jobs at Williams-Sonoma Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com