Job Summary:
We are seeking a highly skilled Data Scientist to analyze complex data sets, develop machine learning models, and provide actionable insights to drive business decisions. The ideal candidate has a strong background in data analysis, statistical modeling, and proficiency in programming languages like Python or R.
Key Responsibilities:
- Collect, process, and clean large datasets from various sources.
- Apply statistical techniques and machine learning algorithms to extract insights.
- Develop predictive models and deploy them in production environments.
- Work closely with business teams to identify opportunities for data-driven decision-making.
- Visualize data and present findings using dashboards and reports.
- Ensure data accuracy, integrity, and compliance with security policies.
- Collaborate with engineers and analysts to improve data quality and accessibility.
Requirements:
- Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field.
- Proficiency in Python, R, SQL and experience with machine learning frameworks (TensorFlow, Scikit-learn, PyTorch).
- Strong understanding of data wrangling, statistical analysis, and A/B testing.
- Hands-on experience with big data technologies (Spark, Hadoop) and cloud platforms (AWS, Azure, GCP) is a plus.
- Ability to communicate technical concepts to non-technical stakeholders.
- Experience with data visualization tools like Tableau, Power BI, Matplotlib, or Seaborn.
Preferred Qualifications:
- Experience working with AI, NLP, or Deep Learning.
- Familiarity with MLOps and deploying models in real-world applications.
- Knowledge of business intelligence and data-driven strategies.
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