Deloitte

location-iconDeloitte

Sr. Data Scientist

location-iconNorth Aurora, IL, 60542

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 client's 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 Senior Data Scientist, you will work directly with federal clients to define strategies, drive technical development, and create cutting-edge AI tools and services. Your work will encompass advanced methodologies, including:

  • AI & Machine Learning Development: Utilize GANs, CNNs, RNNs, LSTMs, BERT, and other models to solve complex problems.
  • Thought Leadership: Produce whitepapers, presentations, reports, and executive briefings to support AI solutions.
  • Client Strategy: Guide federal clients on AI strategy and development, perform exploratory data analysis, build and validate models, and deploy models in both on-premise and cloud environments.
  • Technical Leadership: Lead efforts in scalable data systems, repeatable processes, and best practices for new AI methodologies.
  • Collaboration: Work cross-functionally with scientists, data engineers, federal account managers, and leadership to ensure project delivery 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 works on complex, high-impact AI systems leveraging 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 expertise in Artificial Intelligence and engineering technologies.
  • 5+ years of experience in AI/ML algorithm development and data analysis (e.g., NLP, time-series analysis, computer vision).
  • 3+ years of experience in programming and data science tools (Python, Keras, TensorFlow, PyTorch, Pandas, Scikit-learn, Jupyter, etc.).
  • 3+ 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%.

Preferred:

  • 3+ years of experience in cloud deployment (AWS, Azure, GCP), including scaling solutions in AWS SageMaker.
  • Strong problem-solving and troubleshooting skills.
  • Experience coaching or mentoring junior staff.

Additional Information

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

What other people searched near you


Data scientist near me

Data scientist positions near me

Data scientist titles

Circle k data scientist salary

Data scientist job details

Data scientist uber salary

Data scientist training and placement

Data scientist usa jobs

Searches you may like


Remote jobs near me

Jobs hiring now

Other jobs near me

Employment in North Aurora, IL

Jobs hiring near North Aurora, IL


Related Jobs

Senior Machine Learning Engineer

Capital One

location-iconJoliet, IL

dateposted-iconPosted 7 days ago

Senior Machine Learning Engineer

Capital One

location-iconVilla Park, IL

dateposted-iconPosted 7 days ago

Senior Machine Learning Engineer

Capital One

location-iconLake Forest, IL

dateposted-iconPosted 7 days ago

Senior Machine Learning Engineer

Capital One

location-iconOrland Park, IL

dateposted-iconPosted 7 days ago

Senior Machine Learning Engineer

Capital One

location-iconBartlett, IL

dateposted-iconPosted 7 days ago

Senior Machine Learning Engineer

Capital One

location-iconMorton Grove, IL

dateposted-iconPosted 7 days ago


FAQ's

Find the answers for the most frequently asked questions below

Are you looking for job openings with Deloitte near North Aurora, IL, US? You'll find plenty of opportunities in nearby cities, including Aberdeen, MD, Annapolis, MD, Baltimore, MD, Bladensburg, MD, Bowie, MD, Brentwood, MD, Chesapeake Beach, MD, College Park, MD, Easton, MD, Elkton, MD, Kensington, MD, Manchester, MD, Mt Airy, MD, Perryville, MD, Poolesville, MD, Sykesville, MD, Bel Air, MD, Centreville, MD, District Heights, MD, Frederick, MD. These locations offer remote jobs, part-time jobs, and full-time positions with Deloitte. Check out current job listings in these cities to discover more employment opportunities and local jobs hiring now in your area.

If you're searching for companies hiring now in North Aurora, IL, US, several top employers are offering a variety of job opportunities. These include Capital One, Angi, Dell, Allied Universal, MCKESSON, SAIC, U.S. Department of Defense and more. Whether you're looking for entry-level positions, work-from-home jobs, or immediate hire roles, you'll find plenty of local job listings in North Aurora, IL, US.

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.

Yes, data scientists remain in high demand due to the increasing importance of data analysis and machine learning in various industries. The role of a data scientist is crucial for businesses seeking to leverage data for decision-making and innovation.

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.

Data scientists, like many professionals, can earn a significant income, but their salary can vary greatly depending on factors such as location, industry, and level of experience. However, it's important to note that wealth is not solely determined by income and can also depend on factors such as spending habits, investments, and career longevity.

A data scientist is a professional who uses statistical methods, machine learning algorithms, and data analysis techniques to extract insights, trends, and patterns from complex data sets, often to inform business decisions and strategy.

To become a Data Scientist, follow these steps: 1. Obtain a strong foundation in mathematics and statistics. 2. Learn programming skills, particularly in languages like Python or R. 3. Gain experience with data analysis tools such as SQL, Tableau, or PowerBI. 4. Familiarize yourself with machine learning algorithms and libraries like scikit-learn or TensorFlow. 5. Build a portfolio of projects showcasing your data analysis and modeling skills. 6. Stay updated with the latest trends and advancements in the field.

Yes, data scientists are scientists. They apply scientific methods, mathematics, and statistics to extract insights and knowledge from data. They work in various fields, such as technology, finance, healthcare, and more, to analyze and interpret complex data sets.

A data scientist is a professional who uses statistical analysis, machine learning, and programming skills to extract insights and knowledge from large, complex datasets. They often work on projects that involve predictive modeling, data mining, and visualization to help organizations make informed decisions.

A Bachelor's degree in Mathematics, Statistics, Computer Science, or a related field is often considered suitable for a Data Scientist role. However, many data scientists also have advanced degrees such as a Master's or Ph.D. in Data Science, Statistics, or a related field. Practical experience with programming languages like Python, R, or SQL, and a strong understanding of machine learning and statistical analysis are also crucial.

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 communicate their findings to stakeholders in a clear and actionable manner.