Senior Data Scientist

Full-time
USA
Posted 1 year ago
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The job listing has expired. Unfortunately, the hiring company is no longer accepting new applications.

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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

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About the Job
Full-time
USA
Posted 1 year ago
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Senior Data Scientist

The job listing has expired. Unfortunately, the hiring company is no longer accepting new applications.

To see similar active jobs please follow this link: Remote Development jobs

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