
Highly Skilled Data Analyst Wanted
3 days ago
Job Opportunity: Advanced Analytics Specialist
We are seeking a highly skilled Advanced Analytics Specialist to join our team. As an Advanced Analytics Specialist, you will be responsible for designing and implementing advanced analytics solutions, developing and deploying machine learning models, and extracting insights from complex data sets.
Key Responsibilities:
1. Develop and deploy machine learning models using Python, PyTorch, scikit-learn, and other relevant libraries.
2. Extract insights from complex data and communicate findings to stakeholders.
3. Design and implement data-driven solutions, including real-time and batch processing systems.
4. Collaborate with engineers to build scalable and efficient data pipelines.
5. Develop and maintain RESTful APIs to serve machine learning models.
6. Work with databases, including data modeling, schema design, and query optimization.
7. Stay up-to-date with industry trends and advancements in AI/ML.
Required Skills:
1. 5+ years of experience in data science and machine learning.
2. Strong proficiency in Python and relevant libraries, including PyTorch, scikit-learn, and pandas.
3. Experience with machine learning model development, deployment, and maintenance.
4. Strong understanding of data structures, algorithms, and software design patterns.
5. Experience with databases, including relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra).
6. Experience with GitHub, Docker, and AWS.
7. Familiarity with RESTful API design and development.
8. Experience with real-time and batch processing systems.
Nice to Have:
1. Experience with time series forecasting and analysis.
2. Knowledge of deep learning frameworks like TensorFlow or Keras.
3. Familiarity with natural language processing (NLP).
4. Experience with data visualization tools like Matplotlib, Seaborn, or Plotly.
5. Knowledge of Agile development methodologies and Scrum framework.
What We Offer:
1. Competitive salary and benefits package.
2. Opportunity to work on complex and challenging projects.
3. Collaborative and dynamic work environment.
4. Professional growth and development opportunities.
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