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Urgent! Data Scientist Job Opening In New Delhi – Now Hiring Recruin
KEY RESPONSIBILITIES: Develop, validate, and deploy predictive, prescriptive, and scoring models to power product features and business decisions.
Partner with the product management and data engineering teams to design and implement algorithms that directly impact customer experience and business growth.
Drive feature engineering, model selection, and performance evaluation across diverse modeling use cases (scoring, forecasting, optimization, segmentation, simulation, NLP, etc.).
Make analytical and technical decisions on modeling trade-offs (accuracy, interpretability, scalability).
Ensure models are production-grade, explainable, monitored, and continuously improved as data and market conditions evolve.
Stay up to date with emerging ML/AI techniques and proactively evaluate their applicability to business use cases.
REQUIRED SKILLS: Strong foundation in Machine Learning, Statistical Modeling, and Applied Mathematics, with proven experience in real-world problem-solving.
Hands-on expertise in Python and R, including ML libraries (scikit-learn, XGBoost, PyTorch/TensorFlow for deep learning) Solid understanding of data preprocessing, feature engineering, and handling large-scale structured and unstructured datasets.
Experience in building and deploying models such as: Scoring/response models, recommendation systems, forecasting, optimization, segmentation, causal inference.
Excellent communication and stakeholder management skills, with the ability to effectively influence, align, and drive consensus across product, engineering, and business teams.
Proven track record of leading analytics/modeling projects end-to-end.
DESIRED SKILLS: Exposure to Text Mining and NLP (topic modeling, sentiment analysis, embeddings) Knowledge of LLM-based applications is a plus.
Knowledge of Bayesian analysis and probabilistic modeling.
Experience with optimization algorithms, reinforcement learning, or simulation modeling.
Working knowledge of cloud platforms (AWS) and ML pipelines is a plus.
Exposure to Deep Learning Familiarity with digital marketing, SEO, and search-related modeling is a plus.
QUALIFICATIONS: Master’s or PhD in a quantitative field (Computer Science, Statistics, Applied Mathematics, Data Science, Operations Research, Economics, Engineering).
4–6 years of experience in applied data science/modeling, ideally with projects spanning predictive modeling, NLP, optimization, and business-focused analytics.
Experience delivering models into production environments (not just research/prototyping).
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Unlock Your Data Scientist Potential: Insight & Career Growth Guide
Real-time Data Scientist Jobs Trends in New Delhi, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Data Scientist in New Delhi, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 152975 jobs in India and 5133 jobs in New Delhi. This comprehensive analysis highlights market share and opportunities for professionals in Data Scientist roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Recruin is currently hiring and seeking a Data Scientist to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Data Scientist Jobs New Delhi.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Recruin adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Data Scientist Jobs India varies, but the pay scale is rated "Standard" in New Delhi. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Data Scientist typically include Prb and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for Data Scientist, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Data Scientist interview at Recruin, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Recruin's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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