Company Name: Sony
Job Role: Data Science Intern
Location: Remote
Experience: Freshers
Education: Bachelor’s/Master’s Degree
Batch: Not Mentioned
Last Date: ASAP
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Sony Work From Home
Job Description
- Analyze Massive Datasets: Mine, clean, and analyze, high-dimensional user interaction data, identifying latent behavioural structures and transforming noisy signals into highly optimized feature spaces.
- Analyse and Translate data annotations into actionable insights.
- Implement Cutting-Edge Algos: Design, build, and optimize cutting-edge AI/ML models.
- Cross-Functional Collaboration: Serve as the primary connective tissue between core engineering divisions and strategic business units. Translate complex model outputs into transparent operational metrics, ensuring technical decisions strictly align with company KPIs.
- Scale & Deploy: Participate in writing production-ready, clean, and modular code to scale pipelines and model architectures within modern cloud environments.
- Experimentation & Evaluation: Formulate rigorous offline verification frameworks and contribute to online A/B testing methodologies to gauge system performance.
Eligibility
- Currently pursuing MS, MTech or an with B.Tech, or advanced Undergraduate degree in Computer Science, Data Science, Statistics, Mathematics, or a parallel quantitative domain.
- Demonstratable skills in AI/ML, specifically Video Analysis algorithms, LLMs.
- Strong grasp of supervised/unsupervised paradigms, loss functions, and bias mitigation.
- Data & Engineering Stack Advanced proficiency in Python and core packages (PyTorch, TensorFlow, Jax, ScikitLearn).
- Experience handling big data via distributed tools (SQL, PySpark, Polars, Arrow)
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How To Apply for Sony Work From Home?
Eligible candidates apply for this Drive online by following the below link. All Interview details will be shared via email.
More Details Sony Work From Home
Important Note While Applying For Jobs:
Please read the job instructions and requirements carefully before applying. If your CV is shortlisted, you will receive all communications from the organization via your registered email address. Keep checking your inbox for details about the next round once your CV has been shortlisted.
Selection and Interview Process at Sony
The interview process at Sony typically comprises three rounds, starting with a technical assessment, One-on-One round, proceeding to a Managerial or HR interview for applicable roles.
1. Online Assessment: Shortlisted candidates may first complete an online assessment covering quantitative aptitude, logical reasoning, statistics, probability, Python programming, SQL, and basic data science concepts. Some roles may also include coding or data-analysis questions involving NumPy, pandas, and data manipulation.
2. Technical Interview: The technical round focuses on your understanding of Python, SQL, statistics, probability, machine learning, and data structures. Interviewers may ask you to explain concepts such as regression, classification, overfitting, feature engineering, model evaluation, and cross-validation. You may also be given SQL queries, Python coding problems, or a practical data-analysis problem to solve.
3. Data Science / Project Discussion: Candidates may be asked to explain their academic projects, internships, machine-learning projects, or data-analysis work in detail. Questions can cover the dataset you used, preprocessing, feature selection, model choice, evaluation metrics, challenges faced, and how you interpreted the results. Be prepared to explain your projects clearly rather than simply describing the tools you used.
4. HR / Behavioral Interview: The final round generally evaluates communication, teamwork, problem-solving ability, motivation, and interest in Sony. Common questions include “Tell me about yourself,” “Why do you want to intern at Sony?”, “Why data science?”, “Describe a challenging project you worked on,” “How do you handle difficult problems?”, and questions about your career goals, availability, and willingness to work with a team.
Basic Interview Questions
- Can you tell me about yourself?
- What are your strengths and weaknesses?
- What are your short-term and long-term career goals?
- How do you handle pressure or stress at work
- What motivates you to perform well?
- Why do you want to work for our company?
- Why should we hire you?
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