Senior Data Scientist
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Job Description
Job description:
Job Summary To lead advanced data science initiatives, develop predictive models, and drive data-driven decision-making by extracting meaningful insights from complex datasets, enabling business growth and innovation. Key Responsibilities 1. Develop and deploy machine learning models, predictive analytics, and AI solutions to solve business challenges.
2. Design and optimize algorithms for data processing, feature engineering, and pattern recognition.
3. Lead data exploration, mining, and visualization to uncover trends and actionable insights.
4. Collaborate with cross-functional teams to integrate data science solutions into business strategies.
5. Drive innovation by leveraging advanced statistical techniques, deep learning, and big data technologies.
6. Ensure data integrity, governance, and best practices in model development and deployment.
7. Mentor junior data scientists and promote a data-driven culture within the organization.
8. Stay ahead of industry trends and emerging technologies to enhance analytical capabilities. Skill Requirements null Other Requirements null
Job Summary To lead advanced data science initiatives, develop predictive models, and drive data-driven decision-making by extracting meaningful insights from complex datasets, enabling business growth and innovation. Key Responsibilities 1. Develop and deploy machine learning models, predictive analytics, and AI solutions to solve business challenges.
2. Design and optimize algorithms for data processing, feature engineering, and pattern recognition.
3. Lead data exploration, mining, and visualization to uncover trends and actionable insights.
4. Collaborate with cross-functional teams to integrate data science solutions into business strategies.
5. Drive innovation by leveraging advanced statistical techniques, deep learning, and big data technologies.
6. Ensure data integrity, governance, and best practices in model development and deployment.
7. Mentor junior data scientists and promote a data-driven culture within the organization.
8. Stay ahead of industry trends and emerging technologies to enhance analytical capabilities. Skill Requirements null Other Requirements null
More Info
Key Skills
data exploration
feature engineering
AI solutions
About Company
Skills:
Tensorflow, Machine Learning, Pytorch, Ocr, Python, Computer Vision, Deep Learning
Skills:
data wrangling , PyTorch), large language models (LLMs), data science libraries (scikit-learn, Tensorflow, Machine Learning Algorithms, Python, Visualization, statistical methods, Analysis
Skills:
causal inference , Machine Learning, Python, Sql, Optimisation Techniques, a/b testing
Skills:
Python, Sql, Aps, Machine Learning, MLops, Spark, Statistics, Serving Batch Real-time, MLflow Experiments Registry, Optimization Techniques, CI/CD, Responsible and Ethical AI Practices, Model Monitoring Drift Detection and Retraining, Distributed Data Processing, ERP SAP systems
Skills:
thoughtspot , Sql, Ml, Databricks, Deep Learning, Tensorflow, Amazon Web Services, Qlik Sense, Hadoop, Tableau, Google Cloud, Machine Learning, Alteryx, Pytorch, Etl Tools, Python, Azure, XGBoost, Gen AI, Ai, Scikit-learn, R