Data Analytics Specialist
2 days ago
About Photon: At Photon, we are pushing the boundaries of data-driven innovation. Our team is comprised of experts in machine learning and data analysis, working together to create cutting-edge solutions for our clients.
Job Description: We are seeking a highly skilled Data Analytics Specialist to join our team. As a key member of our analytics team, you will be responsible for designing and developing robust analytics models using statistical and machine learning algorithms. Your primary focus will be on building end-to-end machine learning solutions, implementing models in production, and working with various data frameworks and tools such as Python, Spark, and Databricks.
Key Responsibilities:
- Analyze use cases and design appropriate analytics models using statistical and machine learning algorithms tailored to specific business requirements.
- Develop machine learning algorithms to drive personalized customer experiences and provide actionable business insights.
- Apply expertise in data mining and machine learning techniques, including forecasting, prediction, segmentation, recommendation, and fraud detection.
What We're Looking For:
- Educational Background: Undergraduate or Graduate degree in Computer Science, Mathematics, Physics, or related fields. A PhD is preferred but not necessary.
- Experience:
- At least 5 years of experience in data analytics, with a strong understanding of core statistical algorithms such as classification and regression analysis.
- High-level knowledge of analytics use cases such as language analysis, assortment optimization, promotional planning, dynamic pricing, markdown optimization, labor scheduling, and optimization.
- Technical Skills:
- Strong experience with Python-based machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Proficiency in using analytics platforms like Databricks for large-scale data processing.
- At least 4 years of continuous experience with Spark, particularly PySpark implementation.
- Hands-on experience with data processing and analysis tools such as Pandas, NumPy, and Jupyter Notebooks.
Estimated Salary: $120,000 - $180,000 per year.
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