Data Scientist at M&M
M&M · Bangalore, Karnataka, India
- Salary: As per Company Policy
- Experience: 0-2 years
📋 Job Details at a Glance 📍 Location Bangalore, Karnataka, India 🏢 Company M&M 👥 Experience 0-2 years 🎓 Qualification Any Graduate 📅 Eligible Batch 2022, 2023, 2024, 2025 📄 Job Type Full Time 💰 Salary As per Company Policy 🏢 Industry Technology 🛠 Key Skills Python Machine Learning SQL NumPy Pandas Scikit-learn Data Scientist at M&M — Full Details & How to Apply M&M is seeking a Data Scientist in Bangalore, Karnataka, India , a role pivotal to their technology-driven initiatives. Freshers can leverage this opportunity to work with cutting-edge tools like Python and SQL . The demand for Data Scientist jobs is surging in India, with companies like M&M at the forefront of technology innovation. This specific role is crucial as organizations increasingly rely on data-driven insights to enhance product development and user experience. M&M , founded in 1945 , employs over 150,000 people globally and is recognized for its diverse portfolio in automotive and technology. The company’s focus on innovation makes it an ideal employer for aspiring data scientists looking to excel in the tech industry. This position is open to 2022, 2023, 2024, 2025 graduates , Any Graduate , and requires 0-2 years experience . Candidates can expect a salary of As per Company Policy , making it an attractive entry point into the tech field. In this role, you will gain hands-on experience with advanced machine learning techniques and practical applications of NumPy , Pandas , and Scikit-learn . This experience not only enhances your skill set but also opens doors for career progression into specialized roles within 2-3 years . 📊 Role Difficulty: Medium | Competition Level: Medium | 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 M&M is to leverage data analytics to drive product innovation and enhance decision-making processes through actionable insights. Analyze large datasets using Python to derive actionable insights that inform product development and strategy. Utilize SQL for querying databases, ensuring data-driven decision-making across various projects. Collaborate with product development and engineering teams to integrate data solutions that enhance product features. Monitor and evaluate model performance metrics to ensure data accuracy and relevance in ongoing projects. Take initiative in developing new data models and algorithms using Machine Learning techniques to improve existing processes. Document findings and methodologies to facilitate knowledge sharing within the team, enhancing collective expertise. Engage with clients to understand their data needs and provide tailored solutions using data analysis . Ownership of projects allows you to make a direct impact on product development and client satisfaction, fostering a culture of innovation at M&M . Required Skills & Technical Competencies The ideal candidate for the Data Scientist position at M&M should possess a robust skill set in data analysis and machine learning, essential for driving impactful insights. Technical Skills Python — entry — essential for data analysis and machine learning applications, expected proficiency in libraries like NumPy and Pandas . Machine Learning — entry — practical application in developing predictive models to enhance product features and functionalities. SQL — entry — used daily for data extraction and manipulation, critical for supporting data-driven projects and analyses. NumPy — entry — utilized for numerical computations and data manipulation within Python scripts. Pandas — entry — employed for data manipulation and analysis, enabling efficient handling of structured data. Scikit-learn — entry — familiar for implementing machine learning algorithms effectively in various projects. Soft Skills & Professional Competencies Strong analytical skills to interpret complex datasets and derive meaningful conclusions that inform product development. Effective communication skills to articulate data findings and methodologies to both technical and non-technical stakeholders. Problem-solving abilities to address data-related challenges and propose innovative solutions. Attention to detail to ensure accuracy and relevance in data analysis and reporting. Good to Have (Bonus Skills) Experience with data visualization tools like Tableau , enhancing the ability to present data insights effectively. Knowledge of cloud platforms such as AWS , which can streamline data processing and storage. Familiarity with big data technologies like Hadoop , providing an edge in handling large datasets. When showcasing these skills in your resume or interview, emphasize practical applications and specific projects that demonstrate your proficiency. Eligibility Criteria This role is designed for recent graduates eager to start their careers in data science and analytics. Any graduate is eligible, as diverse educational backgrounds can contribute unique perspectives to data analysis. Batches from 2022 to 2025 are encouraged to apply, ensuring a fresh influx of talent. No prior experience is required, making it an ideal role for freshers to kickstart their careers. A minimum academic performance of 60% is preferred to ensure a strong foundational knowledge. Internship experience in data-related projects or a GitHub portfolio showcasing relevant skills will be advantageous. Documentation & Portfolio Requirements Submit your resume in a clear format, including your educational background, relevant skills, and any projects or internships related to data science. Pro tip: Highlight any hands-on experience with Python and SQL in your application to stand out as a strong candidate for this role. Salary for Data Scientist at M&M 💰 Compensation As per Company Policy The advertised compensation for the Data Scientist role at M&M is As per Company Policy . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Selection Process at M&M The selection process at M&M is designed to identify candidates who possess both the technical skills and cultural fit necessary for success in the Data Scientist role. 1 Online Assessment — 60 minutes, testing basic programming and analytical skills through MCQs. 2 Technical Interview — focuses on Python , SQL , and machine learning concepts, assessing practical knowledge. 3 Behavioral Interview — evaluates cultural fit and problem-solving abilities through scenario-based questions. 4 HR Interview — discusses offer details and company culture, typically within a week of the last interview. Topic-wise Preparation Guide Round 1: Online Assessment Data Structures — understanding arrays, lists, and dictionaries relevant to Python programming — GeeksForGeeks Basic SQL Queries — focusing on SELECT, JOIN, and WHERE clauses — HackerRank Statistics Fundamentals — concepts like mean, median, and standard deviation — Khan Academy Machine Learning Basics — key algorithms and their applications — Coursera Round 2: Technical Interview Python Libraries — in-depth knowledge of NumPy and Pandas for data manipulation — Udemy SQL Optimization — techniques for writing efficient queries — LeetCode Machine Learning Algorithms — understanding supervised vs. unsupervised learning — Coursera Data Cleaning Techniques — methods for preparing data for analysis — GeeksForGeeks Model Evaluation Metrics — accuracy, precision, recall, and F1 score — Khan Academy Round 3: Behavioral Interview Behavioral Questions — using the STAR method to articulate past experiences — MindTools Team Collaboration — examples of working effectively in a team setting — YouTube Technical Deep-Dive — discussing a project where you applied machine learning techniques — Coursera Timeline & Expectations The application to offer timeline typically spans 2-3 weeks , with candidates receiving feedback promptly after each round. Prepare thoroughly for each round, focusing on both technical skills and cultural fit to align with M&M 's values. Expected Interview Questions for Data Scientist at M&M These questions are based on the role's actual tech stack and responsibilities. Technical Questions Explain how you would implement a linear regression model using Python . What are the differences between supervised and unsupervised learning? How do you handle missing data in a dataset? Describe a time you optimized a SQL query. What was the outcome? What is the purpose of using NumPy in data analysis? Can you explain the concept of overfitting in machine learning? Behavioral Questions Describe a challenging project you worked on and how you overcame obstacles. How do you prioritize tasks when working on multiple projects? Give an example of how you handled feedback on your work. What motivates you to work in data science? Role-Specific Questions What techniques would you use to validate a machine learning model? How do you ensure data integrity when working with large datasets? Describe your experience with data visualization and its importance. Structure your answers using the STAR method to clearly articulate your thought process and experiences. Resume Tailoring & ATS Keywords for Data Scientist Optimizing your resume for ATS is crucial for standing out in the application process for this role. ATS Keywords to Include Data Scientist Python Machine Learning SQL NumPy Pandas Scikit-learn Data Analysis Predictive Modeling Data Visualization Big Data Statistical Analysis Resume Tips for This Role Highlight relevant projects that showcase your skills in Python and machine learning. Emphasize any internship experience or coursework related to data science. Include links to your GitHub or portfolio to demonstrate practical skills. Optimize for ATS by using keywords from the job description. Avoid including unrelated work experience that does not showcase your data skills. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Do not include generic skills or unrelated job experiences that do not pertain to data science. About M&M M&M was established in 1945 and has expanded its operations to over 100 countries , with its headquarters located in Bangalore, Karnataka, India . The company employs more than 150,000 professionals , making it a significant player in the global technology landscape. Known for its innovative offerings, M&M specializes in electric vehicles and smart technology solutions . The company has developed products like the eVerito and e2o Plus , which exemplify its commitment to sustainable transportation and advanced tech integration. The workplace culture at M&M has been recognized through various accolades, including a top ranking on Glassdoor for employee satisfaction. The company emphasizes employee well-being through programs such as flexible work hours and professional development workshops . Recently, M&M announced a substantial investment in AI and machine learning technologies , aiming to enhance its product offerings and operational efficiency. This initiative is part of a broader strategy to innovate and stay competitive in the tech sector. Joining M&M as a fresher in Technology provides unparalleled exposure to industry-leading practices. The company offers a structured onboarding program that facilitates rapid career advancement and equips new employees with essential skills in cutting-edge technologies. Why Join M&M as Data Scientist? At M&M , you will gain invaluable experience in Python and machine learning algorithms , which are critical for success in modern data science roles. The company’s focus on innovation ensures that you will be at the forefront of technology. Hands-on Experience — Work directly with Python and NumPy to develop real-world data solutions that drive business decisions. SQL Proficiency — Gain exposure to SQL for effective data manipulation and analysis, essential for managing large datasets. Career Advancement — After 1-2 years, transition into roles such as Machine Learning Engineer or Data Analyst , broadening your career options. Collaborative Culture — Engage with cross-functional teams that foster learning and innovation, enhancing your professional growth. Bangalore Ecosystem — Benefit from the vibrant tech scene in Bangalore , which offers numerous networking events and professional development opportunities. According to NexisGrow.com, starting your career as a Data Scientist at M&M positions you for success in a rapidly evolving tech landscape, providing essential skills and experiences that are highly valued in the industry. Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Data Scientist at M&M? Eligibility Tap to expand + Answer Candidates with Any Graduate 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: Python, Machine Learning, SQL, NumPy, Pandas. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: As per Company Policy. Final offer depends on skills, experience, and interview performance. ? What is the interview process at M&M? 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, Machine Learning, SQL, NumPy, Pandas. ? 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 interview? Preparation Tap to expand + Answer (1) Core concepts of Python, Machine Learning, SQL, NumPy, Pandas, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) M&M research, (5) Clear communication. ? What is the work culture like at M&M? 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 Bangalore Browse all Tech jobs More jobs at M&M Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. 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