Exponent
Applied Data Scientist - AI & Analytics Focus (M.S. or Ph.D.)
Exponent, Menlo Park, California, United States, 94029
Overview
Applied Data Scientist - AI & Analytics Focus (M.S. or Ph.D.) Location: US-CA-Irvine; Practice: Data Sciences; Position Type: Full-time; Workplace: On-Site. Posted Salary Range: USD $133,000.00 - USD $145,000.00 /Yr. Our Opportunity
We are seeking an
Applied Data Scientist - AI & Analytics Focus
to join our
Data Sciences
Practice in
Irvine, CA, Los Angeles, CA, or Menlo Park, CA . This role is ideal for someone who thrives at the intersection of
data engineering, analytics, and hands-on problem solving , and who is passionate about working with
real-world, experimental data . You will contribute to impactful projects across sectors including
healthcare, government contracting, and other high-impact engineering domains , helping to design and implement data-driven solutions that support operational and analytical objectives. This position offers the opportunity to work on
AI and ML-enabled systems , while also supporting the development of robust data infrastructure and analytics pipelines. You'll collaborate with multidisciplinary teams of engineers, analysts, and domain experts to solve complex, applied problems. You will be responsible for
Design and implement scalable data pipelines and analytical workflows across diverse domains. Work with
experimental and observational data , including sensor data, clinical records, and operational logs Apply
statistical and machine learning techniques
using input from engineering domain experts and information technology specialists Support
data integration and transformation
efforts across complex data ecosystems with a strong emphasis on error estimation and uncertainty quantification Collaborate with stakeholders to define data requirements and produce deliverables for projects Ensure data security and compliance with federal and industry standards You will have the following skills and qualifications
M.S. in Computer Science, Physics, Applied Mathematics or related field with 3+ years of industry experience in data science, applied machine learning, or data engineering after finishing the M.S. degree (recent M.S. graduates do not meet this requirement); or Ph.D. in Computer Science, Physics, Applied Mathematics, or related field Proficiency in Python and scientific computing libraries (e.g., NumPy, Pandas, SciPy, scikit-learn) Experience with real-world data collection, cleaning, and analysis, including handling missing data, measurement error, and sensor calibration Familiarity with SQL databases, cloud platforms (AWS, Azure, or GCP), and version control systems Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch) is a plus Strong practical engineering skills and ability to build robust, maintainable systems Experience working with sensitive or regulated data (e.g., healthcare, government) is desirable Strong communication skills and ability to work in cross-functional teams U.S. citizenship and ability to obtain/possess a U.S. DoD Security Clearance as required by contracts Applicants are encouraged to submit a CV with publications (including works in review or pending) Life at Exponent
Exponent is the only premium engineering and scientific consulting firm with the depth and breadth of expertise to solve our clients' most profoundly unique, unprecedented, and urgent challenges. We offer mentoring, sponsorship, and a culture of learning, with opportunities to grow your career. Work Environment
We value in-person collaboration in a collaborative, multidisciplinary work environment. Consultants engage in-person in the office unless traveling for client work or other business activities. We promote work-life balance and flexible, agile work styles to meet client needs. LI-Onsite Compensation
Exponent offers a total compensation plan aligned with performance and professional standards. At the Associate and Senior Associate level, compensation includes base salary, bi-weekly bonuses for high-intensity efforts, annual bonus, and 7% 401(k) employer contribution. Base salary is dependent on experience and capabilities and will be assessed during the interview process. Salary Range
USD $133,000.00 - USD $145,000.00 /Yr. Benefits
Access benefits information on our Life@Exponent page: https://www.exponent.com/careers/life-exponent Exponent is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, veteran status, disability, sexual orientation, gender identity, or any other protected status. If you need assistance or accommodations due to a disability, please email HR-Accommodations@exponent.com. Job Locations
US-CA-Irvine US-CA-Los Angeles US-CA-Menlo Park
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Applied Data Scientist - AI & Analytics Focus (M.S. or Ph.D.) Location: US-CA-Irvine; Practice: Data Sciences; Position Type: Full-time; Workplace: On-Site. Posted Salary Range: USD $133,000.00 - USD $145,000.00 /Yr. Our Opportunity
We are seeking an
Applied Data Scientist - AI & Analytics Focus
to join our
Data Sciences
Practice in
Irvine, CA, Los Angeles, CA, or Menlo Park, CA . This role is ideal for someone who thrives at the intersection of
data engineering, analytics, and hands-on problem solving , and who is passionate about working with
real-world, experimental data . You will contribute to impactful projects across sectors including
healthcare, government contracting, and other high-impact engineering domains , helping to design and implement data-driven solutions that support operational and analytical objectives. This position offers the opportunity to work on
AI and ML-enabled systems , while also supporting the development of robust data infrastructure and analytics pipelines. You'll collaborate with multidisciplinary teams of engineers, analysts, and domain experts to solve complex, applied problems. You will be responsible for
Design and implement scalable data pipelines and analytical workflows across diverse domains. Work with
experimental and observational data , including sensor data, clinical records, and operational logs Apply
statistical and machine learning techniques
using input from engineering domain experts and information technology specialists Support
data integration and transformation
efforts across complex data ecosystems with a strong emphasis on error estimation and uncertainty quantification Collaborate with stakeholders to define data requirements and produce deliverables for projects Ensure data security and compliance with federal and industry standards You will have the following skills and qualifications
M.S. in Computer Science, Physics, Applied Mathematics or related field with 3+ years of industry experience in data science, applied machine learning, or data engineering after finishing the M.S. degree (recent M.S. graduates do not meet this requirement); or Ph.D. in Computer Science, Physics, Applied Mathematics, or related field Proficiency in Python and scientific computing libraries (e.g., NumPy, Pandas, SciPy, scikit-learn) Experience with real-world data collection, cleaning, and analysis, including handling missing data, measurement error, and sensor calibration Familiarity with SQL databases, cloud platforms (AWS, Azure, or GCP), and version control systems Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch) is a plus Strong practical engineering skills and ability to build robust, maintainable systems Experience working with sensitive or regulated data (e.g., healthcare, government) is desirable Strong communication skills and ability to work in cross-functional teams U.S. citizenship and ability to obtain/possess a U.S. DoD Security Clearance as required by contracts Applicants are encouraged to submit a CV with publications (including works in review or pending) Life at Exponent
Exponent is the only premium engineering and scientific consulting firm with the depth and breadth of expertise to solve our clients' most profoundly unique, unprecedented, and urgent challenges. We offer mentoring, sponsorship, and a culture of learning, with opportunities to grow your career. Work Environment
We value in-person collaboration in a collaborative, multidisciplinary work environment. Consultants engage in-person in the office unless traveling for client work or other business activities. We promote work-life balance and flexible, agile work styles to meet client needs. LI-Onsite Compensation
Exponent offers a total compensation plan aligned with performance and professional standards. At the Associate and Senior Associate level, compensation includes base salary, bi-weekly bonuses for high-intensity efforts, annual bonus, and 7% 401(k) employer contribution. Base salary is dependent on experience and capabilities and will be assessed during the interview process. Salary Range
USD $133,000.00 - USD $145,000.00 /Yr. Benefits
Access benefits information on our Life@Exponent page: https://www.exponent.com/careers/life-exponent Exponent is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, veteran status, disability, sexual orientation, gender identity, or any other protected status. If you need assistance or accommodations due to a disability, please email HR-Accommodations@exponent.com. Job Locations
US-CA-Irvine US-CA-Los Angeles US-CA-Menlo Park
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