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Urgent! Data Scientist - Python/SQL Job Opening In India, India – Now Hiring Aays Advisory Pvt. Ltd.
<p><p><b>Description :</b><br/><br/>About the Role :<br/><br/>We are seeking a highly skilled and motivated Data Scientist to join our growing data consulting team.<br/><br/>In this role, you will work closely with clients' senior stakeholders and cross-functional teams to uncover actionable insights, build predictive models, and deliver data-driven solutions that drive business value.<br/><br/>The ideal candidate is an analytical thinker, strong communicator, and has hands-on experience with large datasets, machine learning algorithms, and advanced statistical techniques.<br/><br/>Youll work across diverse projects in industries such as finance, healthcare, retail, and more helping organizations turn their data into strategic assets.<br/><br/>Your Team :<br/><br/>As a key member of the Data Consulting Team, you will collaborate with a dynamic group of data scientists, engineers, analysts, and consultants.<br/><br/>Youll work alongside partners, project managers, and technology leads to solve high-impact problems using modern data science techniques.<br/><br/><b>Key Responsibilities :</b><br/><br/>- Design, develop, and implement end-to-end data science solutions tailored to business problems.<br/><br/>- Analyze complex datasets using Python, R, SQL, and other relevant tools to extract insights and build predictive models.<br/><br/>- Develop and evaluate machine learning models for classification, regression, segmentation, recommendation systems, and NLP use cases.<br/><br/>- Work with large-scale distributed data systems such as Hadoop, Spark, and cloud platforms (AWS, Azure, GCP).<br/><br/>- Apply advanced statistical analysis and mathematical modeling techniques to interpret data trends and patterns.<br/><br/>- Collaborate with data engineers to ensure seamless data pipeline integration and model deployment.<br/><br/>- Translate complex data science concepts into clear business insights for non-technical stakeholders.<br/><br/>- Create compelling data visualizations and present insights using tools like Tableau, Power BI, or matplotlib/seaborn.<br/><br/>- Author and review analytical solution proposals and technical documentation for internal and client use.<br/><br/>- Engage in code reviews, knowledge sharing, and mentoring junior data scientists.<br/><br/>- Continuously research and prototype new algorithms, tools, and frameworks to improve analytical capabilities.<br/><br/><b>Required Skills & Experience :</b><br/><br/>- 4 to 8 years of experience in data science, analytics, or related roles.<br/><br/>- At least 4+ years of experience working in big data environments and handling large datasets.<br/><br/>- Strong knowledge of machine learning algorithms and statistical modeling :<br/><br/>1.
Regression, Classification, Clustering, Time Series<br/><br/>2.
Random Forest, Gradient Boosting, SVM, KNN<br/><br/>3.
Deep Learning : CNN, RNN, LSTM, Transfer Learning<br/><br/>4.
NLP : Named Entity Recognition, LSA, Tokenization, Lemmatization, etc.<br/><br/>- Hands-on proficiency with Python and/or R including libraries like scikit-learn, TensorFlow, PyTorch, pandas, NumPy, NLTK, spaCy, etc.<br/><br/>- Solid SQL skills and exposure to Hadoop, Apache Spark, or other big data platforms.<br/><br/>- Experience working with cloud data ecosystems : AWS (S3, SageMaker), Azure, or GCP.<br/><br/>- Proven track record of building and deploying machine learning models in production environments.<br/><br/>- Understanding of data engineering fundamentals, version control (Git), and CI/CD practices.<br/><br/>- Exposure to solution design and proposal writing for data-driven initiatives.<br/><br/>- Strong communication skills able to interface with business leaders and technical teams alike.<br/><br/>- Degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or related field.<br/><br/>- Portfolio of data science work (e.g., GitHub repos, Kaggle projects, publications) is a plus<br/></p><br/></p> (ref:hirist.tech)
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Unlock Your Data Scientist Potential: Insight & Career Growth Guide
Real-time Data Scientist Jobs Trends in India, 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 India, 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 140690 jobs in India and 9677 jobs in India. 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! Aays Advisory Pvt. Ltd. is currently hiring and seeking a Data Scientist Python/SQL to join their team. Feel free to download the job details.
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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 Aays Advisory Pvt. Ltd. adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Data Scientist Python/SQL Jobs India varies, but the pay scale is rated "Standard" in India. 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 Python/SQL typically include Mathematical Science Occupations 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.
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