Deloitte

location-iconDeloitte

Data Scientist Manager

location-iconMarshfield, MA, 02050

jobtype-iconPart Time, Full Time

estimated-salary-icon$119,871 per year

dateposted-iconPosted 9 days ago

Apply Now

location-iconActively Hiring

About the Role

Do you want to build your brand by working for a leading consulting firm that drives eminence in the marketplace? Are you interested in leveraging your analytical skills and strategic ideas to improve mission execution? If so, Deloitte could be the place for you!

Our Government and Public Services (GPS) Strategy and Analytics team brings deep industry expertise, rigorous analytical capabilities, and a pragmatic mindset to solve our clients' most complex business challenges. Join us to design our clients' roadmap to the future and transform the public sector marketplace.

Work You'll Do

As a Data Scientist Manager, you will work directly with federal clients to define strategies, drive technical development, and create next-generation AI tools and services. Your work will include state-of-the-art methodologies in areas like computer vision, natural language processing, time series analysis, preventative maintenance, signal processing, and workflow automation.

Key responsibilities include:

  • AI & Machine Learning Development: Design and apply advanced AI methods, leveraging GANs, CNNs, RNNs, LSTMs, BERT, and other models to address complex challenges.
  • Thought Leadership: Develop whitepapers, executive briefings, presentations, and other materials to support AI solutions.
  • Client Strategy: Guide federal clients on AI strategy, conduct exploratory data analysis, build/validate models, and deploy them in on-premise or cloud environments.
  • Subject Matter Expertise: Serve as an expert for GPS clients and the global AI partner ecosystem.
  • Scalable Solutions: Create repeatable processes and scalable data systems that address technical and deployment challenges.
  • Best Practices: Maintain and enforce data science best practices, staying updated on methodologies, industry trends, and open-source technologies.
  • Collaboration: Work cross-functionally with scientists, engineers, account managers, and leadership to ensure project success.

About the Team

SFL Scientific, a Deloitte business, is a U.S.-based data science consulting firm specializing in machine learning and AI technologies. The team develops complex AI systems using large and intricate data streams from advanced aerospace, defense, intelligence, and energy systems within the Government & Public Services (GPS) sector.

Qualifications

Required:

  • Master’s or Ph.D. in a STEM field preferred, with strong proficiency in Artificial Intelligence and related engineering technologies.
  • 8+ years of experience in AI/ML algorithm development and data analysis (e.g., NLP, time-series analysis, computer vision).
  • 5+ years of experience in programming and data science tools (Python, Keras, TensorFlow, PyTorch, Pandas, Scikit-learn, Jupyter, etc.).
  • 5+ years of experience in deployment and optimization (e.g., Kubernetes, Docker, NVIDIA TensorRT/Triton, RAPIDs, Kubeflow, MLflow).
  • Ability to obtain and maintain a government security clearance.
  • Must be legally authorized to work in the U.S. without employer sponsorship.
  • Willingness to travel up to 5%.
  • Experience coaching or mentoring junior staff.

Preferred:

  • 3+ years of experience with cloud deployment (AWS, Azure, GCP), including building and scaling solutions in AWS SageMaker.
  • Strong problem-solving and troubleshooting skills with the ability to exercise mature judgment.
  • Active security clearance.

Additional Information

For applicants requiring accommodations, please visit:Deloitte Assistance for Disabled Applicants.

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FAQ's

Find the answers for the most frequently asked questions below

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Data scientists analyze and interpret complex data to help organizations make informed decisions. They use statistical models, machine learning algorithms, and data visualization tools to extract insights from large datasets. They also often work on predictive modeling and data-driven problem-solving.

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Data scientists typically earn an average annual salary of around $113,000 in the United States, according to Glassdoor data. However, salaries can vary widely depending on factors such as location, industry, and level of experience.

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A data scientist analyzes and interprets complex data to help organizations make informed decisions. They use statistical models, machine learning algorithms, and data visualization tools to extract insights and make predictions. They also work on developing strategies to improve business performance and solve complex problems.

The question of the best country for a data scientist is subjective and depends on various factors such as job market, salary, and quality of life. However, countries like the United States, United Kingdom, Germany, Canada, and Australia are often recognized for their strong data science industries and opportunities. It's essential to research specific cities and companies within these countries to find the best fit for individual career goals.

The number of data scientists is not inherently too many or too few, as the demand for data scientists is driven by the need for data analysis and interpretation in various industries. However, the supply may exceed the demand in certain regions or industries, leading to competition for positions. The optimal number of data scientists is subject to market dynamics and the availability of data-driven opportunities.

A good data scientist should possess strong analytical skills, proficiency in programming languages like Python or R, and a deep understanding of statistical methods and machine learning algorithms. They should also be able to communicate complex data insights effectively to non-technical stakeholders.