📋 Job Details at a Glance 📍 Location Bengaluru, India 🏢 Company Prodigal 👥 Experience Minimum 2 years 🎓 Qualification Bachelor’s or Master’s in Data Science, CS, Stats, or Math 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Python SQL PySpark ML-Flow Data Scientist (Recommendation Systems) at Prodigal — Full Details & How to Apply Prodigal is seeking a talented Data Scientist (Recommendation Systems) to enhance its recommendation systems. This role offers a unique opportunity to innovate in Bengaluru, India , where the tech scene is vibrant and rapidly evolving. As a Data Scientist at Prodigal , you will play a crucial role in shaping personalized user experiences through advanced AI techniques. In today's data-driven world, the role of a Data Scientist (Recommendation Systems) is pivotal for businesses aiming to leverage AI for personalized user experiences. With the increasing demand for tailored solutions, companies are investing heavily in data science to drive engagement and retention. This trend positions the Data Scientist as a key player in the technology landscape, making this role not just relevant but essential for career growth in the industry. Prodigal stands out in the technology sector for its commitment to innovation and employee growth. The company fosters a culture that encourages continuous learning and development, making it an ideal workplace for aspiring Data Scientists . With a focus on cutting-edge technology and a collaborative environment, Prodigal empowers its employees to push boundaries and explore new ideas, ensuring that your contributions will have a lasting impact. This opportunity is perfect for both freshers and candidates with up to 2 years of experience who hold a B.Tech, MCA, or equivalent degree . Eligible candidates include 2023, 2024, 2025, and 2026 graduates who are eager to dive into the world of data science and make a significant impact. If you have a passion for data and a knack for problem-solving , this role could be your gateway to a fulfilling career. As a Data Scientist (Recommendation Systems) at Prodigal , you will gain invaluable experience in key areas such as cloud architecture , production-grade Python development , and Agile workflows . You'll have the opportunity to work with advanced tools like PySpark and ML-Flow , enhancing your technical skill set while contributing to innovative projects that drive business success. 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 exciting Data Scientist (Recommendation Systems) role at Prodigal . Job Role & Responsibilities The role of a Data Scientist (Recommendation Systems) at Prodigal is pivotal in enhancing user experience through advanced algorithms. You will be at the forefront of developing systems that drive engagement and satisfaction on our platform. Develop and implement advanced recommendation algorithms that enhance user experience and engagement on Prodigal's platform. Utilize Python , SQL , and PySpark to analyze large datasets, ensuring the accuracy and efficiency of recommendation systems. Collaborate with product managers and software engineers to integrate recommendation features seamlessly into existing applications. Measure the effectiveness of recommendation systems through A/B testing and user feedback, adjusting algorithms based on data-driven insights. Take ownership of projects from conception to deployment, ensuring timely delivery and continuous improvement of recommendation models. Document methodologies and results clearly for both technical and non-technical stakeholders , fostering transparency and collaboration. Innovate by exploring new machine learning techniques and tools, contributing to Prodigal's position as a leader in tech solutions. Participate in regular team meetings to discuss project progress and align on goals, ensuring everyone is on the same page. At Prodigal , we foster an ownership culture where you will have the opportunity to make significant contributions. Your role will directly impact our recommendation systems, shaping the user experience and driving engagement. Required Skills & Technical Competencies We are seeking a candidate with a robust skill profile that combines technical expertise with analytical prowess. The ideal candidate will leverage their skills to develop innovative recommendation systems that enhance user engagement. Technical Skills Python (Proficient) — essential for developing algorithms and performing data manipulation. SQL (Intermediate) — crucial for querying databases efficiently, enabling effective data analysis and model training. PySpark (Advanced) — required to handle large-scale data processing, essential for real-time recommendations. ML-Flow (Familiarity) — beneficial for managing the machine learning lifecycle, streamlining model deployment and tracking. Data Visualization Tools (Basic) — knowledge of tools like Tableau or Power BI to present data insights effectively. Machine Learning Frameworks (Familiarity) — experience with frameworks such as TensorFlow or Scikit-learn is a plus. Soft Skills & Professional Competencies Analytical thinking — ability to interpret complex data and derive actionable insights. Problem-solving — adept at identifying issues and developing effective solutions. Effective communication skills — capable of translating complex data insights into understandable strategies for stakeholders. Time management — skilled in prioritizing tasks to meet project deadlines efficiently. Good to Have (Bonus) Experience with Cloud Platforms — familiarity with AWS or Azure for deploying machine learning models. Knowledge of Big Data Technologies — exposure to tools like Hadoop or Kafka can be advantageous. Understanding of User Experience (UX) principles to enhance the effectiveness of recommendation systems. To showcase these skills in your resume or during an interview, focus on specific projects or experiences where you utilized these competencies, particularly in developing recommendation systems or similar applications. Eligibility Criteria This role is designed for candidates who are passionate about data science and have a solid foundation in relevant technical skills. We are looking for individuals who can contribute effectively to our team at Prodigal . Candidates must hold a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or Mathematics . Eligible batches include 2023, 2024, 2025, and 2026 graduates. Minimum of 2 years of experience in data science or a related field is required. A CGPA of 7.0 or above is preferred to reflect academic proficiency. Portfolio projects showcasing relevant skills in data science , machine learning , or recommendation systems will significantly strengthen your application. Prior internship or hands-on project experience is a strong advantage. Documentation & Portfolio Requirements Prepare a resume that highlights your relevant skills and experiences. Include links to your GitHub or portfolio showcasing projects related to data science and recommendation systems. Certifications in relevant technologies will also enhance your profile. Pro Tip: Tailor your application to emphasize your experience with recommendation systems and any specific projects that demonstrate your skills in this area. Salary & Benefits 💰 Compensation Not Disclosed The compensation philosophy at Prodigal emphasizes providing competitive salary packages that align with industry standards for the Data Scientist (Recommendation Systems) role. While the salary for this role is not disclosed , the company is committed to ensuring that employees receive comprehensive benefits that support their well-being and professional growth. What Your CTC Could Include Health Insurance — comprehensive coverage for employee and family worth ₹5 lakh annually Flexible Work Hours — promoting a healthy work-life balance tailored to individual needs Annual Performance Bonus — rewarding exceptional contributions and achievements Retirement Benefits — contributions to provident fund ensuring financial security Learning & Development Programs — access to training and certifications for continuous skill enhancement Additional Perks & Benefits Meal Allowance — financial support for daily meals Transportation Support — assistance for commuting expenses Stock Options — opportunity to participate in company ownership Mentorship Programs — guidance from experienced professionals for career growth Wellness Programs — initiatives promoting physical and mental health Career Progression & Salary Growth At Prodigal , career progression is structured with clear promotion timelines and annual performance reviews. Employees can expect regular salary raises, typically ranging from 10% to 20% based on performance metrics. The company fosters an environment of rapid career advancement through internal mobility options and continuous learning opportunities. NexisGrow.com tip: When discussing salary, emphasize your unique skills and contributions to the Data Scientist role to negotiate effectively. Selection Process The hiring philosophy at Prodigal focuses on identifying candidates who not only possess the necessary technical skills but also align with the company’s collaborative culture. The selection process is designed to evaluate both technical proficiency and cultural fit for the Data Scientist (Recommendation Systems) position. 1 Round 1: Application Screening — Initial review of applications and resumes to shortlist candidates based on qualifications and experience. 2 Round 2: Technical Interview — In-depth discussion on data science concepts, algorithms, and practical problem-solving skills relevant to recommendation systems. 3 Round 3: Behavioral Interview — Assessment of cultural fit, teamwork, and communication skills within Prodigal's collaborative environment. 4 Final Stage: Offer Presentation — Presentation of the job offer followed by a background check to ensure a smooth transition for the selected candidate. What Each Round Tests Round 1 focuses on basic qualifications and experience. Round 2 evaluates technical expertise in data science, while Round 3 assesses problem-solving and communication skills to ensure a good fit within the team. Timeline & Expectations The entire selection process typically takes 3-4 weeks from application submission to final offer. Candidates can expect timely communication from Prodigal regarding their application status, usually within a week after each round. Interview Prep Tip: Familiarize yourself with Prodigal's recent projects and be prepared to discuss how your skills can contribute to their goals. How to Apply for Data Scientist (Recommendation Systems) at Prodigal Apply Now — Prodigal Step 1: Click the Apply button or visit the official career link at Prodigal's job board. Step 2: Complete your profile and upload your resume, highlighting relevant projects and experiences in data science. Step 3: Expect a confirmation email detailing the next steps in the application screening process, typically within a week. Step 4: Prepare for the technical interview by reviewing key concepts and practicing coding problems. Step 5: Stay engaged and responsive to any communication from Prodigal throughout the process. Resume & Profile Tips for This Role Highlight Relevant Projects — Showcase your experience with recommendation systems and data analysis. Emphasize Technical Skills — Include proficiency in Python , SQL , and machine learning frameworks. Showcase Problem-Solving Abilities — Provide examples of how you approached complex data challenges. Include Soft Skills — Mention your communication skills and ability to work in teams. Note: Applications are reviewed on a rolling basis, so early submission is encouraged to maximize 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 Prodigal? Eligibility Tap to expand + Answer Candidates must possess a Bachelor's or Master's in Data Science, CS, Stats, or Math, with eligibility for batches 2023-2026 and a minimum of 2 years of experience. ? What is the interview process for Data Scientist at Prodigal? Interview Tap to expand + Answer The interview process includes an initial screening, a technical interview focused on data science skills, and a behavioral interview to assess cultural fit. ? What technologies and tools will I work with? Tech Stack Tap to expand + Answer You will primarily work with Python, SQL, and PySpark, along with ML-Flow for managing the machine learning lifecycle. ? What is the salary and compensation for this role? Salary Tap to expand + Answer While the salary is not disclosed, Prodigal offers competitive compensation packages along with performance bonuses and benefits. ? Is this role work from home, hybrid, or onsite? Work Mode Tap to expand + Answer The role is primarily onsite in Bengaluru, with potential for hybrid work arrangements depending on team needs. ? What is the career growth path after joining Prodigal as a Data Scientist? Growth Tap to expand + Answer Expect a clear growth roadmap with opportunities for promotions and internal mobility within 6-12 months based on performance. ? How should I prepare for the Data Scientist interview at Prodigal? Preparation Tap to expand + Answer Focus on brushing up on data science fundamentals, algorithm design, and practical applications relevant to recommendation systems. ? How do I apply and what documents are needed? Application Tap to expand + Answer Apply through the official career link, ensuring your resume highlights relevant skills and projects in data science. ? Is there a probation period and what does it involve? Probation Tap to expand + Answer Yes, there is a standard probation period during which performance will be evaluated to ensure a good fit for the role. ? What is the work culture like at Prodigal? Culture Tap to expand + Answer Prodigal fosters a collaborative and inclusive work culture, emphasizing continuous learning and team collaboration. 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