Lead Data Scientist, GPS (Government & Public Services) id-7049
Do you have a strong background in machine learning and deep learning? Are you interested in utilizing your data science skills and working with a small team in a fast-paced environment to achieve strategic mission goals? If so, Deloitte has an exciting opportunity for you! As a member of our GPS GSi group, you will play a crucial role in the development and maintenance of our data science and business intelligence solutions. This role will specialize in assisting with machine learning, deep learning, and generative AI initiatives that will be utilized by Enabling Area professionals to enhance and expedite decision-making. You will provide expertise within and across business teams, demonstrate the ability to work independently, and apply problem-solving skills to resolve complex issues.
Recruiting for this role ends on May 31st, 2025
Responsibilities
- Participate in and/or lead the development of data science products that meet the needs of our clients, with an emphasis on the ability to transform client needs into quantifiable data science solutions.
- Independently carry out tasks, using critical thinking and problem-solving skills to devise effective solutions for unique challenges.
- Design, train, and deploy machine learning and deep learning models to AWS, Databricks, and Dataiku platforms.
- Develop, design, and/or advise on Large Language Model (LLM) solutions for enterprise-wide documentation (e.g., Retrieval-Augmented Generation (RAG), Continued Pre-training (CPT), Supervised Fine-tuning (SFT), etc.)
- Utilize Machine Learning Operations (MLOps) pipelines, including knowledge of containerization (Docker) and CI/CD for training and deploying models.
- Develop cleanly written code that is heavily commented and can be easily understood by others for code sharing and collaboration.
- Maintain structured documentation of project development stages, including the utilization of GitHub and/or Jira for version control and project management.
- Demonstrate strong communication skills with the ability to provide expertise and break down complex analytical solutions to explain to clients.
- Remain current with latest industry trends and developments in data science and/or related fields, with the ability to learn new skills and knowledge to advance the skillset of our Data Science team.
- Apply thorough attention to detail, and carefully review data science solutions for accuracy and quality.
Other Jobs You May Be Interested In
Remote Data Entry, No Experience, $40/hr, Part-Time
Virtual Assistant, $45/hr, Remote, No Experience, Night Job
Entry-Level Remote Data Entry, $50/hr, Evening Job
Customer Support, No Degree, $40/hr, Remote, Weekend Job
Remote Phone Job, $42/hr, Part-Time, College Student Friendly
Virtual Assistant, $40/hr, Remote, No Degree, Night Job
Part-Time Data Entry, $45/hr, Remote, College Student Friendly
Remote Moderator, No Degree, $50/hr, Evening, Weekend Job
Remote Customer Support, $42/hr, Night Job, No Experience
Live Chat Support, $40/hr, Remote, Entry Level, Part-Time
Virtual Assistant, Remote, $42/hr, Weekend, No Experience
Remote Data Entry, $45/hr, No Degree, Night Shift
Part-Time Customer Support, $40/hr, Remote, College Student
Remote Live Chat, $50/hr, Part-Time, Evening/Night Job
Entry Level Phone Job, $42/hr, Remote, No Degree Required
Weekend Data Entry, $45/hr, Remote, No Experience
Remote Virtual Assistant, $40/hr, Evening, Part-Time Job
Remote Moderator, $42/hr, Part-Time, Weekend, No Degree
Data Entry, $45/hr, Remote, Night Shift, College Student Job
Phone Support, Remote, $50/hr, No Experience, Part-Time
Virtual Assistant, No Experience, $42/hr, Remote, Weekend
Remote Customer Support, $45/hr, Part-Time, College Student
Data Entry, Remote, $40/hr, Night Shift, No Degree
Evening Virtual Assistant, Remote, $45/hr, No Experience
Weekend Customer Support, $42/hr, Remote, College Student
Remote Data Entry, $50/hr, No Experience, Evening/Night Job
Remote Live Chat, $40/hr, Part-Time, No Degree Required
Virtual Assistant, $42/hr, Remote, Weekend, Entry Level
Remote Phone Support, $45/hr, Evening, No Experience Required
Data Entry, No Experience, $50/hr, Remote, College Student
Remote Moderator, $40/hr, Weekend, No Degree, Part-Time
Live Chat Support, Remote, $42/hr, Night Shift, College Student
Phone Job, $50/hr, Remote, No Degree, Part-Time, Weekend
Data Entry, $45/hr, Remote, Evening, No Experience Required
Virtual Assistant, No Experience, $42/hr, Remote, Part-Time
Remote Customer Support, $50/hr, Night Shift, No Degree
Remote Data Entry, $40/hr, College Student Friendly, Part-Time
Live Chat Support, $42/hr, Weekend, Remote, No Degree
Virtual Assistant, Remote, $45/hr, Evening, No Experience
Remote Phone Job, $50/hr, College Student, Night Shift
Remote Moderator, $42/hr, Weekend, No Experience Required
Data Entry, No Degree, $45/hr, Part-Time, Remote Job
Customer Support, $50/hr, Remote, Evening/Night Job, No Degree
Virtual Assistant, $42/hr, Remote, Weekend, No Degree
Remote Live Chat, $45/hr, College Student, No Experience
Remote Data Entry, $40/hr, Part-Time, No Degree Required
Phone Support, $50/hr, Weekend, Remote, No Experience
Virtual Assistant, $42/hr, Evening, Remote, No Degree
Remote Customer Support, $45/hr, No Experience, Part-Time
Data Entry, $50/hr, Night Job, No Degree, Remote
Remote Moderator, $40/hr, College Student Friendly, Part-Time
Virtual Assistant, Remote, $42/hr, Weekend, No Experience
Remote Phone Job, $45/hr, Part-Time, No Degree Required
Customer Support, $50/hr, Night Job, Remote, No Experience
Data Entry, Remote, $42/hr, Evening Job, No Degree
Live Chat Support, $45/hr, Weekend, Remote, College Student
Virtual Assistant, Remote, $50/hr, Part-Time, Night Shift
Data Entry, $40/hr, No Experience, Remote, Weekend Job
Remote Phone Job, $45/hr, No Degree, College Student Friendly
Customer Support, $42/hr, Remote, Evening, No Experience
Virtual Assistant, $50/hr, Weekend, No Degree, Remote
Remote Data Entry, $40/hr, Part-Time, College Student Job
Phone Support, Remote, $42/hr, Evening/Night Shift
Virtual Assistant, No Degree, $45/hr, Remote, Part-Time
Live Chat Support, $50/hr, Remote, No Experience Required
Remote Moderator, $42/hr, College Student, Weekend Job
Data Entry, $45/hr, Remote, Night Job, No Degree
Virtual Assistant, $50/hr, Remote, Part-Time, Evening Job
Remote Customer Support, $42/hr, Weekend, No Experience
Phone Job, $45/hr, Remote, Night Shift, No Degree
Remote Live Chat, $50/hr, College Student, No Experience
Data Entry, $40/hr, Part-Time, Remote, Weekend Job
Virtual Assistant, $42/hr, Remote, No Experience, Evening
Remote Phone Support, $45/hr, Night Job, College Student
Remote Moderator, $50/hr, No Degree, Weekend, Part-Time
Virtual Assistant, $40/hr, Remote, Night Shift, No Experience
Customer Support, $42/hr, Remote, Part-Time, No Degree
Remote Data Entry, $45/hr, Weekend Job, College Student
Phone Support, Remote, $50/hr, No Experience, Night Shift
Virtual Assistant, $42/hr, Evening, Remote, College Student
Live Chat Support, $45/hr, Part-Time, Remote, No Degree
Data Entry, $50/hr, Remote, Evening Job, College Student
Virtual Assistant, $40/hr, Weekend, Remote, No Experience
Remote Phone Job, $42/hr, Night Shift, College Student Friendly
Remote Customer Support, $45/hr, No Degree, Evening Job
Virtual Assistant, $50/hr, Part-Time, Remote, Weekend Job
Data Entry, $40/hr, Evening Job, No Experience, Remote
Remote Live Chat, $42/hr, Weekend, No Degree, Part-Time
Virtual Assistant, $45/hr, No Experience, Remote, Night Job
Phone Job, $50/hr, Remote, Part-Time, College Student
Remote Data Entry, $42/hr, Evening/Night Job, No Experience
Remote Moderator, $45/hr, No Degree, Weekend Job, Part-Time
Live Chat Support, $50/hr, Remote, Night Shift, No Degree
Virtual Assistant, $40/hr, Weekend, College Student, Remote
Remote Phone Job, $42/hr, Part-Time, No Experience Required
Remote Data Entry, $45/hr, No Degree, Weekend, Night Job
Virtual Assistant, $50/hr, Evening, Remote, College Student
Customer Support, $42/hr, Weekend Job, Remote, No Degree
Phone Support, $45/hr, Remote, No Experience, Evening Job
Data Entry, $50/hr, Night Shift, No Degree, Remote Job
Qualifications
Required:
- Bachelor's Degree in Statistics, Mathematics, Computer Science, Engineering or other analytical field
- 6+ years of experience with data science - including having a deep knowledge & mastery of Python, machine learning & deep learning, and associated data science packages (e.g., sklearn, TensorFlow, PyTorch) - and demonstrated comfort leading data science projects from inception to deployment.
- Strong knowledge of LLMs and RAG.
- Familiarity with AWS, Databricks, and/or Dataiku platforms.
- Working knowledge of MLOps, including familiarity with containerization (e.g., Docker).
- Excellent troubleshooting skills and the ability to work independently.
- Strong organizational skills, including clear documentation of projects and ability to write clean code.
- Familiarity with agile project methodology and/or project development lifecycle.
- Experience with GitHub for version control.
- Excellent communication and presentation skills, with the ability to explain complex data science concepts to non-technical audiences.
- Ability to complete work in an acceptable timeframe and manage a variety of detailed tasks and responsibilities simultaneously and with accuracy to meet deadlines, goals, and objectives and satisfy internal and external customer needs related to the job.
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
Desired:
- Master's Degree in Statistics, Mathematics, Computer Science, Engineering or other analytical field, OR comparable direct work experience.
- Significant experience with MLOps and associated serving frameworks (i.e., Flask, FastAPI, etc.) and orchestration pipelines (e.g., SageMaker Pipelines, Step Functions, Metaflow, etc.).
- Significant experience working with open source LLMs (e.g., serving via TGI / vLLM, performing CPT and/or SFT, etc.).
- Experience using various AWS Services (e.g., Textract, Transcribe, Lambda, etc.).
- Proficiency in basic front-end web development (e.g., Streamlit).
- Knowledge of Object-Oriented Programming (OOP) concepts.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $97,600.00-$179,900.00.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
EA_ExpHire
EA_GPS_ExpHire
#LI-GO1
Qualifications:
Do you have a strong background in machine learning and deep learning? Are you interested in utilizing your data science skills and working with a small team in a fast-paced environment to achieve strategic mission goals? If so, Deloitte has an exciting opportunity for you! As a member of our GPS GSi group, you will play a crucial role in the development and maintenance of our data science and business intelligence solutions. This role will specialize in assisting with machine learning, deep learning, and generative AI initiatives that will be utilized by Enabling Area professionals to enhance and expedite decision-making. You will provide expertise within and across business teams, demonstrate the ability to work independently, and apply problem-solving skills to resolve complex issues.
Recruiting for this role ends on May 31st, 2025
Responsibilities
- Participate in and/or lead the development of data science products that meet the needs of our clients, with an emphasis on the ability to transform client needs into quantifiable data science solutions.
- Independently carry out tasks, using critical thinking and problem-solving skills to devise effective solutions for unique challenges.
- Design, train, and deploy machine learning and deep learning models to AWS, Databricks, and Dataiku platforms.
- Develop, design, and/or advise on Large Language Model (LLM) solutions for enterprise-wide documentation (e.g., Retrieval-Augmented Generation (RAG), Continued Pre-training (CPT), Supervised Fine-tuning (SFT), etc.)
- Utilize Machine Learning Operations (MLOps) pipelines, including knowledge of containerization (Docker) and CI/CD for training and deploying models.
- Develop cleanly written code that is heavily commented and can be easily understood by others for code sharing and collaboration.
- Maintain structured documentation of project development stages, including the utilization of GitHub and/or Jira for version control and project management.
- Demonstrate strong communication skills with the ability to provide expertise and break down complex analytical solutions to explain to clients.
- Remain current with latest industry trends and developments in data science and/or related fields, with the ability to learn new skills and knowledge to advance the skillset of our Data Science team.
- Apply thorough attention to detail, and carefully review data science solutions for accuracy and quality.
Qualifications
Required:
- Bachelor's Degree in Statistics, Mathematics, Computer Science, Engineering or other analytical field
- 6+ years of experience with data science - including having a deep knowledge & mastery of Python, machine learning & deep learning, and associated data science packages (e.g., sklearn, TensorFlow, PyTorch) - and demonstrated comfort leading data science projects from inception to deployment.
- Strong knowledge of LLMs and RAG.
- Familiarity with AWS, Databricks, and/or Dataiku platforms.
- Working knowledge of MLOps, including familiarity with containerization (e.g., Docker).
- Excellent troubleshooting skills and the ability to work independently.
- Strong organizational skills, including clear documentation of projects and ability to write clean code.
- Familiarity with agile project methodology and/or project development lifecycle.
- Experience with GitHub for version control.
- Excellent communication and presentation skills, with the ability to explain complex data science concepts to non-technical audiences.
- Ability to complete work in an acceptable timeframe and manage a variety of detailed tasks and responsibilities simultaneously and with accuracy to meet deadlines, goals, and objectives and satisfy internal and external customer needs related to the job.
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
Desired:
- Master's Degree in Statistics, Mathematics, Computer Science, Engineering or other analytical field, OR comparable direct work experience.
- Significant experience with MLOps and associated serving frameworks (i.e., Flask, FastAPI, etc.) and orchestration pipelines (e.g., SageMaker Pipelines, Step Functions, Metaflow, etc.).
- Significant experience working with open source LLMs (e.g., serving via TGI / vLLM, performing CPT and/or SFT, etc.).
- Experience using various AWS Services (e.g., Textract, Transcribe, Lambda, etc.).
- Proficiency in basic front-end web development (e.g., Streamlit).
- Knowledge of Object-Oriented Programming (OOP) concepts.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $97,600.00-$179,900.00.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
