Future Opportunity - Sr Data Scientists Apply Here!

Unlock future opportunities at phData, where innovation meets data excellence. At phData we’re always on the lookout for top talent and we’re committed to expanding our network of skilled professionals. As our requirements evolve, we encourage you to apply and submit your resume here, even if there’s no role available at the moment. Your information will be added to our system, and we’ll notify you of relevant opportunities as they become available if you are a fit.

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

Qualifications:

• Advanced degree or evidence of exceptional ability in engineering, computer science, mathematics, physics, chemistry, or operations research
• 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
• Preferred - familiarity developing on cloud platforms such as AWS, Azure, and Databricks
• Preferred - experience working with Generative AI and Large Language Models, such as RAG, Dall-E, Bard/Gemini, ChatGPT
• Exemplary verbal and written communication skills, ability to relate technical results and business outcomes to technical & non-technical audiences. Previous consulting experience is preferred. 
• Able to work under pressure while managing competing demands and tight deadlines
• Well organized with meticulous attention to detail

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