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Data Scientist

3 - 8 years

7 - 11 Lacs

Posted:9 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • Data Analysis: Analyze large, complex datasets to extract valuable insights and patterns that drive business decisions and strategies.
  • Predictive Modeling: Develop and deploy machine learning models for predictive analytics, including customer segmentation, churn prediction, and demand forecasting.
  • Data Visualization: Create visually compelling and informative data visualizations and dashboards to communicate insights and findings to stakeholders.
  • Statistical Analysis: Apply statistical techniques and methods to analyze data and test hypotheses, ensuring robustness and reliability of results.
  • Feature Engineering: Engineer features from raw data to enhance model performance and accuracy, leveraging domain knowledge and creativity.
  • Model Evaluation and Optimization: Evaluate model performance using appropriate metrics and techniques, and iteratively optimize models for better accuracy and generalization.
  • Collaboration: Collaborate closely with cross-functional teams, including data engineers, software developers, and business stakeholders, to understand business requirements and deliver actionable insights.
  • Experimentation and A/B Testing: Design and execute controlled experiments and A/B tests to measure the impact of product changes and marketing initiatives.
  • Continuous Learning: Stay updated with the latest developments in data science, machine learning, and related fields, and apply new techniques and methodologies to solve business problems.
Requirements:
  • Master's degree or PhD in Computer Science, Statistics, Mathematics, or related field.
  • 3+ years of experience in data science or related roles, with a strong focus on machine learning and statistical analysis.
  • Proficiency in programming languages such as Python or R, and libraries such as scikit-learn, TensorFlow, or PyTorch.
  • Experience with data manipulation and analysis using SQL and relational databases.
  • Strong understanding of machine learning algorithms, techniques, and methodologies, with hands-on experience in model development and deployment.
  • Expertise in data visualization tools and techniques (e.g., Matplotlib, Seaborn, Tableau) to communicate insights effectively.
  • Excellent problem-solving skills and ability to translate business requirements into data-driven solutions.
  • Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
  • Proactive attitude towards learning and professional development, with a passion for exploring new techniques and approaches in data science.
Preferred:
  • Experience with big data technologies and frameworks (e.g., Hadoop, Spark).
  • Knowledge of natural language processing (NLP) and text analytics techniques.
  • Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and associated services (e.g., AWS SageMaker, Azure Machine Learning).
  • Certifications in data science or related fields (e.g., Google Professional Data Engineer, AWS Certified Machine Learning - Specialty)

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