📋 Job Details at a Glance 📍 Location Gurugram, Haryana, India 🏢 Company Google 👥 Experience 0-2 years 🎓 Qualification Bachelor's Degree in Statistics, Mathematics, Data Science, Computer Science, Engineering, Economics, or any Quantitative Field 📅 Eligible Batch 2022, 2023, 2024, 2025 📄 Job Type Full Time 💰 Salary ₹35–60 LPA* 🏢 Industry Technology 🛠 Key Skills Statistical Analysis Data Visualization Machine Learning A/B Testing Google Ads Optimization Data Scientist, Google Ads at Google — Full Details & How to Apply Google is seeking a Data Scientist for its Google Ads team in Gurugram, Haryana, India , where freshers can directly impact ad performance metrics and user engagement. This role offers a unique opportunity to work on optimizing Google Ads effectiveness, making it a pivotal position in the realm of digital advertising. The demand for data-driven decision-making in digital advertising is surging, making the Data Scientist, Google Ads role crucial. As companies increasingly rely on data analytics to enhance their advertising strategies, this position at Google places you at the forefront of innovation in the technology sector. Google is an employer that fosters a culture of innovation and collaboration. Founded in 1998 , Google employs over 150,000 people globally and is known for its innovative products like Google Search and YouTube, providing a unique environment for fresh talent to thrive. We encourage 2022, 2023, 2024, 2025 graduates with a Bachelor's Degree in Statistics, Mathematics, Data Science, Computer Science, Engineering, Economics, or any Quantitative Field to apply. This role is open to candidates with 0-2 years experience and offers a competitive salary ranging from ₹35–60 LPA* . In this role, you will gain hands-on experience with essential skills such as Statistical Analysis , Data Visualization , Machine Learning , A/B Testing , and Google Ads Optimization . This exposure not only enhances your technical expertise but also opens doors to rapid career advancement and high-impact projects from day one. 📊 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 Data Scientist role at Google is to leverage data-driven insights to enhance Google Ads performance and optimize advertising strategies for clients. Analyze large datasets using statistical analysis techniques to derive actionable insights for Google Ads optimization . Utilize A/B testing methodologies to evaluate ad campaign effectiveness and recommend data-driven improvements. Collaborate with cross-functional teams, including marketing and product management, to align data strategies with business goals. Monitor ad performance metrics and provide regular reports to stakeholders, ensuring informed decision-making. Take ownership of projects aimed at enhancing ad targeting algorithms and improving user engagement. Document findings and methodologies clearly to facilitate knowledge sharing within the team. Engage with clients to understand their needs and provide data-driven solutions to improve advertising outcomes. This role fosters an ownership culture, allowing you to make a direct impact on Google Ads strategies and client success. Required Skills & Technical Competencies The ideal candidate will possess a robust skill profile that includes proficiency in data analysis, visualization, and machine learning techniques relevant to Google Ads . Technical Skills Statistical Analysis — entry — Essential for interpreting data trends and making informed recommendations using tools like R or Python . Data Visualization — entry — Critical for presenting complex data in an understandable format, utilizing tools like Tableau or Google Data Studio . Machine Learning — entry — Applied to improve ad targeting and personalization, with knowledge of frameworks like TensorFlow . A/B Testing — entry — Practical application in evaluating ad performance, requiring a solid understanding of experimental design. Google Ads Optimization — entry — Knowledge of Google Ads platforms and metrics is essential for effective campaign management. 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 recent graduates eager to start their careers in data science, particularly those with a quantitative background. Candidates must hold a Bachelor's Degree in Statistics , Mathematics , Data Science , Computer Science , Engineering , Economics , or a related quantitative field. Eligible batches include 2022 , 2023 , 2024 , and 2025 , allowing recent graduates to apply. No prior experience is required, making this role ideal for freshers. A minimum academic performance of 60% or equivalent CGPA is preferred. Having a portfolio or GitHub showcasing relevant projects or internships can provide a competitive edge. Documentation & Portfolio Requirements Ensure your resume is clear and concise, highlighting relevant skills and experiences, and include links to your portfolio or GitHub showcasing your projects. Pro tip: Tailor your application to emphasize your experience with Google Ads and any relevant data analysis projects to stand out. Salary for Data Scientist, Google Ads at Google 💰 Compensation ₹35–60 LPA* The advertised compensation for the Data Scientist, Google Ads role at Google is ₹35–60 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 Data Scientist, Google Ads Upskilling with the right resources significantly enhances your chances of selection for this specific role by aligning your skills with job requirements. Recommended Courses & Resources Statistical Analysis — Essential for understanding data trends and making informed decisions. Data Visualization — Crucial for presenting data insights effectively to stakeholders. Machine Learning — Key for developing predictive models and enhancing Google Ads strategies. KodNest — Provides hands-on experience with data science projects relevant to the industry. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor the resume — Ensure alignment with job requirements. ❌ Neglecting to quantify achievements — Demonstrate impact with clear metrics. ❌ Overloading the resume with jargon — Clarity is key; explain terms clearly. ❌ Ignoring the importance of a cover letter — A well-crafted letter can set you apart. ❌ Submitting applications without proofreading — Attention to detail is crucial. ❌ Not preparing for technical interviews — Practice relevant data science problems. Before You Apply — Checklist ✅ Research Google’s culture and values to align your application with their expectations. ✅ Update your resume to reflect relevant skills and experiences tailored to the Data Scientist role. ✅ Prepare a portfolio showcasing your data analysis projects or relevant coursework. ✅ Ensure your LinkedIn profile is up-to-date and reflects your application. ✅ Gather references who can vouch for your analytical skills and work ethic. ✅ Review common data science interview questions and prepare your answers. ✅ Submit your application through the official Google careers portal. ✅ Follow up on your application status after a couple of weeks. Resume Tailoring & ATS Keywords for Data Scientist, Google Ads Optimizing your resume for ATS is crucial for ensuring it passes initial screenings and reaches hiring managers. ATS Keywords to Include Data Scientist Google Ads Statistical Analysis Machine Learning A/B Testing Data Visualization Optimization Analytics Python R Google Data Studio TensorFlow Resume Tips for This Role Highlight relevant coursework or projects in statistics and data science that align with the job requirements. Emphasize any experience with Google Ads or similar platforms to demonstrate familiarity with the industry. Include links to your portfolio or GitHub to showcase practical applications of your skills. Optimize your resume for ATS by using keywords from the job description. Avoid including unrelated work experience; focus on skills and projects relevant to data science and analytics. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Avoid including generic skills or experiences that do not directly relate to the Data Scientist role. How to Apply for Data Scientist, Google Ads at Google Apply Now — Google Visit the Google careers portal and search for the Data Scientist position. Prepare your resume, ensuring it highlights relevant skills and experiences. Fill out the application form accurately, providing all required information. After submission, you can expect an email confirmation and further instructions. Use the application tracking system to monitor the status of your application. Applications reviewed on a rolling basis — early submission recommended. Apply Now — Google NexisGrow.com does not charge any fees for job applications. Google Google was founded in 1998 in a garage in Menlo Park, California, and has since expanded to become one of the most valuable companies globally, with a market cap exceeding $1 trillion . The company operates from its headquarters in Mountain View, California, and serves billions of users across the globe, with over 156 offices in more than 50 countries . The core products of Google include Google Ads , Google Cloud , and the Android operating system. Each of these platforms plays a crucial role in the digital ecosystem, with Google Ads generating significant revenue through its advertising solutions, which cater to millions of businesses worldwide. Google has consistently ranked high on Glassdoor's 'Best Places to Work' list, reflecting its commitment to a positive workplace culture. The company offers various employee programs, including mentorship initiatives and professional development opportunities, which have contributed to its recognition as a top employer in the technology sector. Recently, Google announced a substantial investment in AI technologies, aiming to enhance its advertising solutions and user experience. This initiative is part of a broader strategy to integrate advanced machine learning capabilities into its products, further solidifying its position as a leader in the tech industry. For freshers in technology, Google offers unparalleled learning opportunities and access to innovative projects. The company fosters an environment where new talent can thrive, providing mentorship from industry leaders and a pathway to develop skills in cutting-edge technologies like machine learning and data visualization . Company Details Industry Technology Location Gurugram, Haryana, India Connect With Us Careers Apply Now Website 🔗 google.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Data Scientist, Google Ads at Google? Eligibility Tap to expand + Answer Candidates with Bachelor's Degree in Statistics, Mathematics, Data Science, Computer Science, Engineering, Economics, or any Quantitative Field and 0-2 years experience are eligible. Eligible batches: 2022, 2023, 2024, 2025. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Statistical Analysis, Data Visualization, Machine Learning, A/B Testing, Google Ads Optimization. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹35–60 LPA*. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Google? 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: Statistical Analysis, Data Visualization, Machine Learning, A/B Testing, Google Ads Optimization. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Data Scientist, Google Ads interview? Preparation Tap to expand + Answer (1) Core concepts of Statistical Analysis, Data Visualization, Machine Learning, A/B Testing, Google Ads Optimization, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Google research, (5) Clear communication. ? What is the work culture like at Google? 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 Gurugram Browse all Tech jobs More jobs at Google 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