Remote Data Scientist 37 Lakhs CTC || Srinivasa Reddy Kandi

7 - 10 years

35.0 - 37.5 Lacs P.A.

Chennai

Posted:2 months ago| Platform: Naukri logo

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Skills Required

Data AnalyticsPredictive ModelingLogistic RegressionArimaRegressionSVMClusteringMachine LearningDeep LearningRandom ForestData ScienceRXgboostGradient BoostingLinear RegressionClassificationStatistical ModelingTime SeriesPythonPredictive Analytics

Work Mode

Work from Office

Job Type

Full Time

Job Description

Dear Candidate, We are looking for a talented Data Scientist to analyze complex datasets, build predictive models, and extract valuable insights that drive business decisions. You will work with machine learning, statistical analysis, and big data technologies to develop scalable solutions. If you have a passion for data-driven decision-making and solving real-world problems, wed love to hear from you! Key Responsibilities: Collect, clean, and preprocess large datasets from multiple sources. Develop and deploy machine learning models for predictive analytics. Perform statistical analysis and hypothesis testing to drive business insights. Work with big data tools (Hadoop, Spark, or Databricks) to process large-scale datasets. Implement and optimize deep learning and AI algorithms where applicable. Collaborate with engineering teams to deploy models into production. Design and maintain data pipelines and ETL processes . Use data visualization tools (Tableau, Power BI, Matplotlib, Seaborn) to present findings. Ensure the scalability, accuracy, and performance of data models. Stay up to date with AI, ML, and data science trends to improve methodologies. Required Skills & Qualifications: Proficiency in Python or R for data analysis and machine learning. Experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn). Strong knowledge of SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB). Hands-on experience with big data technologies (Spark, Hadoop, Databricks). Knowledge of cloud platforms (AWS, GCP, Azure) for data science workflows. Proficiency in data wrangling, feature engineering, and model optimization . Experience with A/B testing, hypothesis testing, and statistical modeling . Familiarity with MLOps, CI/CD for machine learning models . Strong problem-solving and analytical thinking skills. Excellent communication skills to translate data insights into business actions. Soft Skills: Strong problem-solving and analytical skills. Excellent communication skills to work with cross-functional teams. Ability to work independently and as part of a team. Detail-oriented with a focus on delivering high-quality solutions Note: If you are interested, please share your updated resume and suggest the best number & time to connect with you. If your resume is shortlisted, one of the HR from my team will contact you as soon as possible. Srinivasa Reddy Kandi Delivery Manager Integra Technologies

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