Data Scientist | Boston

Posted Yesterday
Hiring Remotely in United States
Remote
Senior level
Agency • Information Technology
The Role
Design, build, and deploy machine learning and generative AI models (including LLMs and text-to-image). Analyze large datasets, run A/B and statistical tests, collaborate with data engineering and engineering teams, and create dashboards/visualizations to communicate insights. Optimize data pipelines and model performance to support data-driven decisions.
Summary Generated by Built In

Position: Data Scientist 

 

Job Summary 

 

We are seeking a skilled and innovative Data Scientist to join our dynamic team. The ideal candidate will be responsible for transforming complex datasets into actionable insights, leveraging advanced statistical techniques, machine learning models, and data visualization tools. You will collaborate closely with cross-functional teams to support data-driven decision-making and contribute to impactful business outcomes. They must possess knowledge of Python, and machine learning frameworks. 

 

Responsibilities 

• Analyze large and complex datasets to identify patterns, trends, and insights. Develop, test, and 
implement machine learning models for predictive analytics. 
• Develop and implement generative AI models, including LLMs, text-to-image and generative AI 
models. 
• Partner with data engineering teams to define data requirements and ensure data pipelines are 
optimized for analysis. 
• Conduct hypothesis testing, A/B testing, regression analysis, and other statistical methods to 
validate business assumptions. 
• Collaborate with engineering teams to deploy machine learning models into production and 
ensure model performance meets business needs. 
• Collaborate with other engineers, stakeholders and team members to develop innovative 
solutions. 
• Create compelling visualizations and dashboards using tools like Tableau, Power BI, or similar 
to present insights to both technical and non-technical audiences. 
• Ability to quickly identify opportunities for model improvement 

Requirements 

• Bachelor's or master's degree in computer science, Engineering, or a related field. 
• 5+ years of experience in developing and training AI/ML models. 
• Experience with data querying languages like SQL, scripting languages like Python, and/or 
statistical/mathematical software e.g. R 
• Knowledge of machine learning frameworks such as TensorFlow, PyTorch, Scikit-learn. 
• Knowledge of state-of-the-art generative AI models such as GPT, LLaMA, Gemini and DALL-E. 
Experience with Cloud infrastructure and Platforms - Azure /GCP/AWS 
• Experience with data visualization tools like Tableau, Power BI, or similar. 
• Strong understanding of deep learning, natural language processing, and computer vision. 
Preferred Qualifications: 
• Bachelor's or master's degree in computer science, Data Science, Statistics, Math, Physics, or 
other Science related discipline with course work in AI/ML. 
• Experience with version control systems like Git. 
• Familiarity with cloud-based ML model deployment (e.g., Azure ML, AWS SageMaker). 
 

Skills Required

  • Bachelor's or master's degree in computer science, Engineering, or related field
  • 5+ years of experience developing and training AI/ML models
  • Experience with data querying languages such as SQL
  • Scripting/programming experience with Python
  • Experience with statistical/mathematical software (e.g., R)
  • Knowledge of machine learning frameworks: TensorFlow
  • Knowledge of machine learning frameworks: PyTorch
  • Knowledge of machine learning frameworks: Scikit-learn
  • Knowledge of state-of-the-art generative AI models (GPT, LLaMA, Gemini, DALL-E)
  • Experience with cloud platforms: Azure
  • Experience with cloud platforms: GCP
  • Experience with cloud platforms: AWS
  • Experience with data visualization tools like Tableau
  • Experience with data visualization tools like Power BI
  • Strong understanding of deep learning, natural language processing, and computer vision
  • Bachelor's or master's degree in computer science, Data Science, Statistics, Math, Physics, or similar (preferred)
  • Experience with version control systems like Git (preferred)
  • Familiarity with cloud-based ML model deployment (e.g., Azure ML, AWS SageMaker) (preferred)
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The Company
HQ: London
5,017 Employees
Year Founded: 2007

What We Do

Photon.com has emerged as one of the world’s largest and fastest-growing Digital Agencies. We work with 40% of the Fortune 100 on their Digital initiatives and are known for our ability to integrate Strategy Consulting, Creative Design, and Technology at scale. Please visit www.photon.com to learn more about us, how we work, and our customer case studies. Digital Transformation Starts Here.

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