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Data Scientist / AI engineer in Boston

Data Scientist / AI engineer in Boston

Energy Jobline ZRBoston, MA, United States
19 hours ago
Job type
  • Full-time
Job description

Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide.

We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.

Job DescriptionJob DescriptionSalary :

Position : Data Scientist / AI Engineer

Location : Boston, MA(Hybrid 3x in office)

Employment Type : Contract-to-hire

Contract Duration : 6 months-1 year

The Data Scientist is responsible for the design and development of advanced generative, recommender, and predictive models that will generate value creation. This role involves ensuring the performance and accuracy of solutions, staying abreast of the latest AI research and methodologies (particularly in the domains of natural processing, predictive analytics, and information retrieval), as well as promoting and implementing data science best practices.

Responsibilities :

  • Thought partner to the Head of AI and Product Manager at identify opportunities to unlock value in the industry

by leveraging distinctive AI expertise (machinelearning and generative AI) to drivebusiness solutions.

  • Lead the design, development, validation, and deployment of innovative, performant, and scalable AI engines, applying rigorous testing to ensure alignment with business objectives.
  • Conduct advanced statistical analysis to provideactionable insights, identify trends, and measureperformance.
  • Apply A / B testing framework to test models' qualityand integrate data insights into the businessprocesses.
  • Coordinate with different functional teams toimplement models, design processes and tools tomonitor and analyze model performance and dataquality.
  • Drive the AI methodology R&D agenda to ensure CLIENT continues to offer added value by best-in-class AI approaches in a fast-moving landscape.
  • Key Skills : DomainExpertise :

  • MS / PhD(Computer Science or Electronics), or MS in Computer Applications, Economics, Statistics orMathematics or related technical discipline
  • 3+ years of deep applied expertise at developing and deploying complex AI / ML solutions, preferably in a
  • financial services context

  • Heavy MS Azure Data Factory experience is a must.
  • Strong and deep knowledge of a broad set of AI methodologies : Generative AI & Agentic AI, deep
  • learning, natural processing, supervised learning (classification, regression), reinforcement learning

  • Proficiency in Python is required together with multiple popular advanced analytics frameworks e.g.
  • pandas, spark, scikit-learn, langchain, langchain, llamaindex, tensorflow, pytorch

  • Experience with popular cloud-based ML platforms (AWS SageMaker, Azure Machine Learning) is a plus
  • Strong applied understanding of MLOps / LLMOps best practice
  • Experience to merge and transform disparate internal & external data sets together to create inputs for AI
  • Agile +Digital Experience :

  • Openness to working in Agile environments with multiple stakeholders
  • Strong communication and collaboration skills to understand business partner needs and deliver solutions
  • IndividualSkills :

  • Professional attitude and service ; team player
  • Quick learner to business needs and translates them into potential analytics solutions
  • Strong analytical and problem-solving skills; healthy skepticism around the validity of data and its biases
  • Good verbal and written communication skills
  • Mindset & Behaviors :

  • Exemplary organizational skills with attention to detail & accuracy
  • Ability to coach, mentor, and collaborate with business partners, analysts, and team members
  • Attitude to thrive in a fast-paced environment, Open-minded to new approaches to learning
  • If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.

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