Senior Data Scientist
We’re looking for a Sr. Data Scientist with strong technical acumen to design, build, and train algorithms and models to improve and streamline business processes for large enterprise customers.
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
Why phData? We offer:
Remote-First Work Environment
Casual, award-winning small-business work environment
Collaborative culture that prizes autonomy, creativity, and transparency
Competitive comp, excellent benefits, 4 weeks PTO plus 10 Holidays (and other cool perks)
Accelerated learning and professional development through advanced training and certifications
Senior Data Scientist
We’re looking for a Sr. Data Scientist with strong technical acumen to design, build, and train algorithms and models to improve and streamline business processes for large enterprise customers.
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
Why phData? We offer:
Remote-First Work Environment
Casual, award-winning small-business work environment
Collaborative culture that prizes autonomy, creativity, and transparency
Competitive comp, excellent benefits, 4 weeks PTO plus 10 Holidays (and other cool perks)
Accelerated learning and professional development through advanced training and certifications