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30 TechKnowledgeHub Jobs
Data Scientist
TechKnowledgeHub
posted 3+ weeks ago
Job Role Insights
Key skills for the job
Job Description
- Collaborate with stakeholders to understand business objectives and identify opportunities for leveraging data to drive insights and innovation.
- Design, develop, and deploy machine learning models and algorithms to solve business problems such as customer segmentation, churn prediction, demand forecasting, and recommendation systems.
- Clean, preprocess, and analyze data to extract actionable insights and identify patterns and trends.
- Develop data pipelines and workflows to automate data ingestion, transformation, and model training processes.
- Evaluate and fine-tune machine learning models for performance, accuracy, and scalability.
- Communicate findings and insights to stakeholders through data visualization, reports, and presentations.
- Stay up-to-date with the latest trends and best practices in data science, machine learning, and artificial intelligence.
- masters or Ph.D. degree in Computer Science, Statistics, Mathematics, or related field.
- Proven experience as a Data Scientist or similar role.
- Strong proficiency in programming languages such as Python or R.
- Experience with machine learning libraries and frameworks such as scikit-learn, TensorFlow, or PyTorch.
- Solid understanding of statistical analysis, hypothesis testing, and experimental design.
- Experience with data visualization tools such as Matplotlib, Seaborn, or Tableau.
- Familiarity with big data technologies such as Hadoop, Spark, or Kafka.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Knowledge of natural language processing (NLP) and text analytics techniques.
- Familiarity with deep learning algorithms and techniques.
- Experience with version control systems such as Git.
- Competitive salary and benefits package.
- Opportunities for professional growth and career advancement.
- Flexible work hours and remote work options.
- Dynamic and inclusive work environment.
- Regular team events and social activities.
Employment Type: Full Time, Permanent
Read full job descriptionCompare TechKnowledgeHub with
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