Data Scientist at Info Edge

📋 Job Details at a Glance 📍 Location India 🏢 Company Info Edge 👥 Experience 0-3 years 🎓 Qualification PhD / M.Tech / B.Tech 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹15 – ₹30 LPA 🏢 Industry Technology 🛠 Key Skills AI NLP ML Data Science Mathematics Data Scientist at Info Edge — Full Details & How to Apply Info Edge is seeking a passionate Data Scientist to join their innovative team in India . This role offers a unique opportunity to leverage cutting-edge technology in a fast-growing startup environment, where your analytical skills can directly impact business strategies and customer engagement. As the demand for data-driven decision-making surges, the Data Scientist role at Info Edge is pivotal in harnessing insights from vast datasets to drive business strategies. In today's technology landscape, organizations are increasingly relying on data analytics to inform their decisions, making the role of a Data Scientist not just relevant but essential. With the rise of artificial intelligence, machine learning, and natural language processing, the ability to analyze and interpret data is transforming industries, and Info Edge stands at the forefront of this revolution. Info Edge , a leader in the technology sector, fosters a culture of innovation and collaboration, making it an ideal workplace for aspiring Data Scientists . With a commitment to employee growth and a focus on cutting-edge projects, Info Edge provides an environment where you can thrive. The company is known for its robust training programs and mentorship opportunities, ensuring that you are well-equipped to tackle complex data challenges and contribute meaningfully to product development. This role is ideal for both freshers and candidates with up to 3 years of experience . Eligible candidates must hold a B.Tech, M.Tech, or PhD degree, with a strong foundation in mathematics and statistics. If you are a graduate from the 2023, 2024, 2025, or 2026 batches, this opportunity is tailored for you. Your academic background will be complemented by hands-on experience in AI and machine learning, making you a valuable asset to the team. In this role, you will gain invaluable skills in AI , NLP , ML , and data science . You will also have the chance to work with advanced tools and technologies, enhancing your expertise in cloud architecture and production-grade Java development . Additionally, you will become proficient in Agile workflows , enabling you to adapt quickly to changing project requirements and collaborate effectively with cross-functional teams. NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting, ensuring you have the most accurate and up-to-date information to apply online for this Data Scientist position at Info Edge . Job Role & Responsibilities The role of a Data Scientist at Info Edge is pivotal in transforming complex datasets into actionable insights that drive strategic business decisions. As part of a dynamic team, you will leverage advanced analytical techniques to enhance product offerings and operational efficiency. Analyze complex datasets to derive actionable insights that inform business decisions and strategies. Utilize tools such as Python , R , and SQL to develop machine learning models tailored to Info Edge's needs. Collaborate with cross-functional teams , including product managers and engineers, to integrate data-driven solutions into existing products. Measure and report on the effectiveness of data initiatives, focusing on key performance indicators and business outcomes. Take ownership of projects from conception to execution, ensuring continuous learning and adaptation of new methodologies. Document findings and methodologies clearly to facilitate knowledge sharing and support decision-making processes. Innovate by identifying new data sources and methodologies that enhance predictive capabilities and operational efficiency. Participate in regular team meetings to discuss project progress and share insights with peers. At Info Edge , we foster an ownership culture where every Data Scientist is encouraged to take initiative and drive impactful projects that contribute to the company's success. Required Skills & Technical Competencies We are seeking candidates with a robust skill profile in data science, particularly those proficient in AI , NLP , and machine learning techniques. These skills are essential for developing models that provide valuable business insights. Technical Skills AI (Intermediate to Advanced) — essential for developing intelligent systems that enhance decision-making. Machine Learning (Intermediate) — applied to create predictive models that drive business strategies. NLP (Natural Language Processing) — used to analyze and interpret textual data effectively. Python (Advanced) — the primary programming language for data analysis and model development. R (Intermediate) — utilized for statistical analysis and data visualization. SQL (Intermediate) — necessary for querying and managing large datasets efficiently. Data Visualization Tools (Tableau, Power BI) — advantageous for presenting data insights to stakeholders. Soft Skills & Professional Competencies Problem-solving — ability to tackle complex challenges with innovative solutions. Communication skills — essential for collaborating with diverse teams and presenting findings. Time management — crucial for balancing multiple projects and meeting deadlines. Adaptability — willingness to learn and apply new methodologies in a fast-paced environment. Good to Have (Bonus) Git — familiarity with version control for collaborative projects. Cloud Platforms (AWS, Azure) — experience with cloud computing for data storage and processing. Big Data Technologies (Hadoop, Spark) — knowledge of handling large datasets effectively. To showcase these skills in your resume or interview, highlight relevant projects, internships, and any contributions to platforms like GitHub that demonstrate your technical competencies and problem-solving abilities. Eligibility Criteria This role is designed for aspiring Data Scientists who are eager to innovate and contribute to the tech industry. We welcome applications from both fresh graduates and those with up to 3 years of experience . Candidates must hold a PhD, M.Tech, or B.Tech degree in relevant fields such as Computer Science, Data Science, or Mathematics. Eligible batches include 2023, 2024, 2025, and 2026 graduates. A minimum CGPA of 7.0 is preferred to ensure a strong academic foundation in analytical skills. Prior internship or hands-on project experience is a strong advantage. Projects or portfolios showcasing data science work, including GitHub contributions , will enhance the application. Documentation & Portfolio Requirements Prepare a well-structured resume that highlights your academic achievements, relevant projects, and any certifications. Include links to your GitHub or portfolio to showcase your data science work. Pro Tip: Tailor your application to emphasize your experience with AI and machine learning projects to improve your success rate. Salary & Benefits 💰 Compensation ₹15 – ₹30 LPA The compensation philosophy at Info Edge for the role of Data Scientist emphasizes a competitive salary that reflects the dynamic nature of the technology industry in India . The salary range for this role is ₹15 – ₹30 LPA , ensuring that we attract and retain top talent. What Your CTC Could Include Health Insurance — comprehensive coverage for employee and family worth ₹5 lakh annually Learning & Development Programs — access to training, certifications, and mentorship from industry experts Flexible Work Arrangements — options for hybrid or remote work to support work-life balance Career Growth Opportunities — structured promotion timelines and internal mobility options Performance-Based Bonuses — additional compensation aligned with industry standards Additional Perks & Benefits Meal Allowances — daily meal support to enhance employee satisfaction Transportation Support — assistance with commuting costs for employees Annual Learning Budget — up to ₹25,000 per year for certifications, courses, and conferences Wellness Programs — initiatives focused on mental and physical health Employee Referral Bonuses — rewards for referring successful candidates Career Progression & Salary Growth At Info Edge , we believe in rapid career advancement through regular appraisal cycles. Employees can expect annual raises typically ranging from 10% to 20% , depending on performance. Promotion timelines are structured, allowing for clear pathways to advance within the organization. NexisGrow.com tip: When negotiating your salary, highlight your unique skills and any relevant experience that can add value to Info Edge . Selection Process The hiring philosophy at Info Edge focuses on identifying candidates who not only possess the required technical skills for the Data Scientist role but also align with our company culture. We aim to create a diverse and inclusive workforce that thrives on collaboration and innovation. 1 Round 1: Application Screening — Initial review of applications focusing on academic qualifications and relevant skills. 2 Round 2: Technical Interview — Assessment of problem-solving abilities and proficiency in data science tools. 3 Round 3: Behavioral Interview — Evaluation of cultural fit and teamwork skills within the Info Edge environment. 4 Final Stage: Offer Presentation — Discussion of the offer and background verification to ensure candidate suitability. What Each Round Tests Round 1 focuses on your academic background and relevant experience. Round 2 assesses your technical skills, including your ability to solve complex problems using Python and other data science tools. Round 3 evaluates your communication skills and how well you work in teams. Timeline & Expectations The entire selection process typically spans 4-6 weeks from application submission to final offer. Candidates can expect timely communication regarding their application status and next steps throughout the process. Interview Prep Tip: Familiarize yourself with common data science problems and practice articulating your thought process clearly. How to Apply for Data Scientist at Info Edge Apply Now — Info Edge Create Your Profile — Register on the Info Edge career portal to start your application. Upload Your Resume — Highlight relevant projects and skills that align with the Data Scientist job description. Fill in the Application Form — Complete all required fields accurately to avoid delays. Track Your Application — Monitor your application status through the portal for updates. Prepare for Interviews — Review common questions and practice your responses based on the selection process. Resume & Profile Tips for This Role Highlight Relevant Skills — Emphasize your expertise in Python , R , and data visualization tools. Showcase Projects — Include any hands-on project experience that demonstrates your analytical capabilities. Include Certifications — List any relevant certifications that can enhance your profile. Focus on Achievements — Quantify your contributions in previous roles or projects. Applications are accepted on a rolling basis, so early submission is encouraged to enhance your chances. Apply Now — Official Link NexisGrow.com does not charge any fees for job applications. Frequently Asked Questions Interview · Role · Salary · Growth ? What are the eligibility criteria for the Data Scientist role at Info Edge? Eligibility Tap to expand + Answer Candidates must have a PhD, M.Tech, or B.Tech in relevant fields, with batch eligibility for 2023-2026 and a preferred CGPA of 7.0. ? What is the interview process for Data Scientist at Info Edge? Interview Tap to expand + Answer The interview process includes an initial screening, a technical interview focusing on data science skills, and a behavioral interview. ? What technologies and tools will I work with? Tech Stack Tap to expand + Answer You will primarily work with Python, R, SQL, and data visualization tools like Tableau, focusing on AI and ML applications. ? What is the salary and compensation for this role? Salary Tap to expand + Answer The salary ranges from ₹15 – ₹30 LPA, with potential for performance bonuses and growth based on contributions. ? Is this role work from home, hybrid, or onsite? Work Mode Tap to expand + Answer This role offers flexibility with options for hybrid or remote work arrangements, aligning with industry trends. ? What is the career growth path after joining Info Edge as a Data Scientist? Growth Tap to expand + Answer Expect structured growth within the first 6-12 months, with opportunities for promotions and internal mobility within 2-3 years. ? How should I prepare for the Data Scientist interview at Info Edge? Preparation Tap to expand + Answer Focus on enhancing your skills in AI, ML, and data analysis; practice problem-solving and review relevant projects. ? How do I apply and what documents are needed? Application Tap to expand + Answer Apply via the official link, ensuring your resume highlights relevant skills and projects; include any portfolios or GitHub links. ? Is there a probation period and what does it involve? Probation Tap to expand + Answer Yes, there is a standard probation period; focus on demonstrating your skills and adaptability during this time. ? What is the work culture like at Info Edge? Culture Tap to expand + Answer Info Edge promotes a collaborative culture with a strong emphasis on learning, diversity, and team support. 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