Senior Data Scientist

Summary

Join phData, a leading modern data stack company, as a Sr. Data Scientist. You will design, build, and train algorithms and models to improve business processes for large enterprise clients. This remote-first role requires collaboration with stakeholders, data manipulation, and clear communication of results. You will leverage MLOPs frameworks and work across interdisciplinary teams. The ideal candidate possesses advanced degrees, extensive data science experience, and strong communication skills. phData offers a competitive compensation package, excellent benefits, and opportunities for professional development.

Requirements

• 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
• Exemplary verbal and written communication skills, ability to relate technical results and business outcomes to technical & non-technical audiences
• Able to work under pressure while managing competing demands and tight deadlines
• Well organized with meticulous attention to detail

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

Preferred Qualifications

• Familiarity developing on cloud platforms such as AWS, Azure, and Databricks
• Experience working with Generative AI and Large Language Models, such as RAG, Dall-E, Bard/Gemini, ChatGPT
• Previous consulting experience

Benefits

• Remote-First Work Environment
• Casual, award-winning small-business work environment
• Collaborative culture that prizes autonomy, creativity, and transparency
• Competitive comp, excellent benefits, generous PTO plus 10 Holidays (and other cool perks)
• Accelerated learning and professional development through advanced training and certifications