ApplyFuture Opportunity - Sr Data Scientists Apply Here!
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💎 Seniority level: Middle, 3-5+ years
📍 Location: United States, Latin America, India
🔍 Industry: Software Development
🏢 Company: phData👥 501-1000💰 $2,499,997 Seed about 7 years agoInformation ServicesAnalyticsInformation Technology
🗣️ Languages: English
⏳ Experience: 3-5+ years
🪄 Skills: AWSPythonSQLBashData AnalysisMachine LearningNumpyAlgorithmsAzureData Structures
Requirements:
- 3-5+ years hands-on experience in building models and developing algorithms for real-world applications and data-driven optimizations
- Depth of knowledge in advanced mathematics, machine learning, and statistics
- Strong computer science fundamentals: data structures, algorithms, distributed systems
- Mastery of one or more data analysis languages such as R, Python, PySpark, and SQL
- Experience with data science tools including Python scripting, NumPy, SciPy, matplotlib, scikit-learn, Jupyter notebooks, bash scripting
- Experience with XGBoost, Facebook Prophet, Random Forests, and other major data science algorithms and packages
Responsibilities:
- Collaborate closely with diverse stakeholders to gather business requirements and translate them into technical specifications to inform model design and implementation
- Conduct data manipulation required for model pre- and post-processing (preparing the data)
- Author articulate reports, visualizations, and presentations to communicate your process and results to stakeholders with varying levels of technical understanding
- Engage with interdisciplinary development teams, such as data engineers and machine learning engineers, to leverage MLOPs frameworks to support the longevity of models (work across functional teams)
- Proactively and independently engage with customers and take ownership for building models and implementing data science best practices unique to each project
- Drive thought leadership in the data science community by actively contributing to open source projects, sharing insights through engaging talks, and advancing global data science practices
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