to maintaining a culture of innovation, curiosity, creativity, and continuous learning within the team. What we are looking for: Education: Master’s degree in computer science, electrical engineering, robotics, statistics, mathematics, or a related field. PhD is a plus. Domain Expertise: 2+ years in machine learning (in industry or academia) with published research papers and provenexpertise in Imitation Learning and More ❯
technical stakeholders. Experience recruiting and mentoring engineers or data scientists in a fast-paced environment. Education: Bachelor's or Master's in Computer Science, AI/ML, Electrical Engineering, Statistics, or a related field. (Ph.D. in AI/ML is a plus but not required if hands-on experience is extensive.) Preferred (Nice-to-Have) Prior experience in a stealth More ❯
technical stakeholders. • Experience recruiting and mentoring engineers or data scientists in a fast-paced environment. • Education: • Bachelor’s or Master’s in Computer Science, AI/ML, Electrical Engineering, Statistics, or a related field. (Ph.D. in AI/ML is a plus but not required if hands-on experience is extensive.) ⸻ Preferred (Nice-to-Have) • Prior experience in a stealth More ❯
more information on the benefits we provide to our employees, please click here . What We're Looking For: Bachelor's/Master's in Computer Science, Mathematics or Statistics, Computational linguistics, Engineering, or a related field. 1+ years of professional hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics More ❯
technical stakeholders. Experience recruiting and mentoring engineers or data scientists in a fast-paced environment. Education: Bachelor’s or Master’s in Computer Science, AI/ML, Electrical Engineering, Statistics, or a related field. (Ph.D. in AI/ML is a plus but not required if hands-on experience is extensive.) ⸻ Preferred (Nice-to-Have) Prior experience in a stealth More ❯
batch processing Experience of web-based development and visualisation technology for portraying large and complex data sets and relationships Substantial quant development engineering experience with relevant mathematical knowledge e.g. statistics, asset pricing theory, optimisation algorithms. Personal Attributes Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university More ❯
data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is strongly preferred. Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences … life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, data structures, data mining, artificial intelligence). Military or applicable government work experience in lieu of technical degree. Level More ❯
seeking a Data Scientist based out of Annapolis Junction, MD. At OPS Consulting, you will seek to find principled conclusions from large data sets through the elements of mathematics, statistics, computer science, and programming. Required Skills: Designing and implementing machine learning, data science, and advanced analytical algorithms. Programming and software engineering skills in at least one high level language (Python … Data Management (data cleaning and transformation), data mining, data modeling, and assessment Artificial intelligence Effectively communicate complex technical information. Basic Qualifications: A bachelor's degree in mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, Computer Science, or a related field. Security Clearance: A current government clearance, background investigation, and polygraph are required. The Swift Group and More ❯
organization, cleanliness, and structure that account for the unique feature and limitations inherent in National Agency data holdings. • Develop and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge. • Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others in drawing appropriate conclusions from the … linear models), data management ( e.g., data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering. • Bachelor's Degree in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences … life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence) • Degree and minimum years of relevant work experience as follows: o AA and More ❯
statistical software tools (such as WinBugs, R, Stata, Python, and SAS) to drive project success. This role requires a Master's or Doctoral Degree in Health Economics, Health Policy, Statistics, Biostatistics, Mathematics, or other related quantitative fields. Knowledge And Experience Training and extensive experience in health economics, including the conceptualization and development of systematic literature reviews and network meta-analyses … development of predictive equations, survival analysis (including parametric methods), longitudinal data analysis, meta-analysis, mixed treatment comparison, and other hierarchical analysis techniques Familiarity with machine learning techniques and Bayesian statistics is a plus Strong communication (spoken and written) and problem-solving skills, and an ability to learn quickly Ability to communicate effectively, in non-technical terms, with project team members … SPSS, STATA, and WinBUGS; Python is a plus Education Master's degree or equivalent in either life science or a quantitative discipline, such as health economics, economics, mathematics, or statistics Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Consulting, Information Technology, and Sales Industries Pharmaceutical Manufacturing Referrals increase your chances of More ❯
matter experts from C3 AI and its customer teams to seek, understand, validate, interpret, and correctly use new data elements. Qualifications: MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields. Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning). Experience with prototyping languages such as Python and R. Strong mathematical background (linear algebra, calculus … probability and statistics). Experience with scalable ML (MapReduce, streaming). Ability to drive a project and work both independently and in a team. Smart, motivated, can-do attitude, and seeks to make a difference. Excellent verbal and written communication. Preferred Qualifications: Experience with JavaScript and Java. Experience with time series and dynamical systems. A portfolio of projects (GitHub, papers More ❯
requires a minimum twelve (12) years of experience w/Degree Level 02 requires a minimum five (05) years of experience w/Degree Degree in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences … may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 300 level or higher; such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college … Data modeling and assessment, domain-specific considerations). Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and More ❯
Prediction: (Data modeling and assessment, domain-specific considerations) Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and … and limitations. Qualifications: Bachelor's Degree with 10 years of relevant experience Associates degree with 12 years of relevant experience Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences … life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic More ❯
will be responsible for both near-term improvements to existing algorithms as well as long-term direction for Traffic Quality algorithms. Your team will include experts in machine learning, statistics and analytics that are working on state-of-the-art modeling techniques, as well as generating insights that fuel critical investments. You will also lead an engineering team that works … intelligence and malware detection. Identify how these can be rolled into building an industry leading solution for Amazon advertising BASIC QUALIFICATIONS - A MS in CS focused on Machine Learning, Statistics, Operational research or in a highly quantitative field - 5+ years of hands-on experience in big data, machine learning and predictive modeling - 3+ year people management and cross department functional … in machine learning in e-commerce, fraud/risk assessment, or an enterprise software company building and providing analytics or risk management services and software. - Ph.D. degree in in Statistics, CS, Machine Learning, Operations Research or in a highly quantitative field. - Knowledge of distributed computing and experience with advanced machine learning libraries like Spark MLLib, Tensorflow, MxNet, etc. - Strong publication More ❯
will be responsible for both near-term improvements to existing algorithms as well as long-term direction for Traffic Quality algorithms. Your team will include experts in machine learning, statistics and analytics that are working on state-of-the-art modeling techniques, as well as generating insights that fuel critical investments. You will also lead an engineering team that works … intelligence and malware detection. Identify how these can be rolled into building an industry leading solution for Amazon advertising BASIC QUALIFICATIONS - A MS in CS focused on Machine Learning, Statistics, Operational research or in a highly quantitative field - 5+ years of hands-on experience in big data, machine learning and predictive modeling - 3+ year people management and cross department functional … in machine learning in e-commerce, fraud/risk assessment, or an enterprise software company building and providing analytics or risk management services and software. - Ph.D. degree in in Statistics, CS, Machine Learning, Operations Research or in a highly quantitative field. - Knowledge of distributed computing and experience with advanced machine learning libraries like Spark MLLib, Tensorflow, MxNet, etc. - Strong publication More ❯
will be responsible for both near-term improvements to existing algorithms as well as long-term direction for Traffic Quality algorithms. Your team will include experts in machine learning, statistics and analytics that are working on state-of-the-art modeling techniques, as well as generating insights that fuel critical investments. You will also lead an engineering team that works … intelligence and malware detection. Identify how these can be rolled into building an industry leading solution for Amazon advertising BASIC QUALIFICATIONS - A MS in CS focused on Machine Learning, Statistics, Operational research or in a highly quantitative field - 5+ years of hands-on experience in big data, machine learning and predictive modeling - 3+ year people management and cross department functional … in machine learning in e-commerce, fraud/risk assessment, or an enterprise software company building and providing analytics or risk management services and software. - Ph.D. degree in in Statistics, CS, Machine Learning, Operations Research or in a highly quantitative field. - Knowledge of distributed computing and experience with advanced machine learning libraries like Spark MLLib, Tensorflow, MxNet, etc. - Strong publication More ❯
deployment Write proposals for exciting new data science opportunities Line manage and provide career mentorship to other data scientists REQUIRED SKILLS: Degree in a quantitative field such as mathematics, statistics or data science Experience of leading meetings and presenting technical concepts to stakeholders Experience of successfully leading complex data science and AI projects, including a holistic understanding of the data … analysis techniques to draw insight from complex data, using tools such as Python and SQL Experience of successfully mentoring and managing data science teams Strong foundations in mathematics and statistics Excellent communication skills through written reports and presentations Organisational skills (e.g. planning, time management) Excellent Python, including relevant libraries for data analysis and machine learning (e.g. sklearn, Pandas, NumPy) and More ❯
drivers to achieve the desired value of output metric. - Write functional specs for tools and drive UAT based on business requirements BASIC QUALIFICATIONS - Bachelor's degree in Business, Engineering, Statistics, Computer Science, Mathematics or related field - 5+ yrs of experience in a business analyst/data analyst/statistical analyst role - 2+ leading a team of Business Analysts - Highly skilled … exceptional organizational skills - Communication (verbal, written, and data presentation) and interpersonal skills to effectively communicate with both business and technical teams PREFERRED QUALIFICATIONS - Master's degree in Business, Engineering, Statistics, Computer Science, Mathematics or related field - Experience conducting advanced statistical analysis (skilled in using one or more of R/SPSS/SAS/Python and etc.) Our inclusive culture More ❯
on solving complex modeling challenges, optimizing predictions under uncertainty, and developing interpretable, high-impact models in real-world systems. You will apply state-of-the-art techniques from Bayesian statistics and modern machine learning to build scalable, efficient, and insightful models-driving real business impact. Location: Remote/Hybrid/USA-SF, USA-remote, UK-London, UK-remote Responsibilities: Translate … and data processing tools (e.g., SQL, MongoDB, Spark, Pandas). Ability to translate ambiguous business problems into structured, measurable, and data-driven approaches. Preferred Qualifications: M.Sc or PhD in Statistics, Electrical Engineering, Computer Science, Physics, or a related field. Background in generative modeling , Bayesian deep learning , signal/image processing , or graph models . Experience applying probabilistic models in real More ❯
business analytics and software engineering to architect innovative data storage and access solutions for optimal data utilization strategies. If you are an individual with experience in informatics, data science, statistics, or epidemiology, please review the following career opportunity. Responsibilities Utilize advanced statistical methods to develop predictive algorithms of methodological and clinical data; Develop dashboards and web applications to enable Medpace … data systems; Support departmental process improvement initiatives; Participate in training and development of more junior team members. Qualifications Master’s degree in informatics, computer science/engineering, health information, statistics, or related field required; PhD preferred; Advanced computer programming skills (preferred language: R); Analytical thinker with great attention to detail; Ability to prioritize multiple projects and tasks within tight timelines More ❯
s analytical capabilities • Represent the BI function in strategic business discussions and provide data-driven recommendations to senior leadership BASIC QUALIFICATIONS - Bachelor's degree in Computer Science, Data Science, Statistics, Management Information Systems (MIS), or a related field - 8+ years of experience as a Business Intelligence Engineer or similar senior-level role - Proven expertise in designing and implementing complex, large … solving, critical thinking, and analytical skills - Experience leading cross-functional teams and driving the successful delivery of BI initiative PREFERRED QUALIFICATIONS - Bachelor's degree in Computer Science, Data Science, Statistics, Management Information Systems (MIS), or a related field - 8+ years of experience as a Business Intelligence Engineer or similar senior-level role - Proven expertise in designing and implementing complex, large More ❯
s analytical capabilities • Represent the BI function in strategic business discussions and provide data-driven recommendations to senior leadership BASIC QUALIFICATIONS - Bachelor's degree in Computer Science, Data Science, Statistics, Management Information Systems (MIS), or a related field - 3+ years of experience as a Business Intelligence Engineer or similar senior-level role - Demonstrated expertise in designing and implementing complex, large … solving, critical thinking, and analytical skills - Experience leading cross-functional teams and driving the successful delivery of BI initiative PREFERRED QUALIFICATIONS - Bachelor's degree in Computer Science, Data Science, Statistics, Management Information Systems (MIS), or a related field - 3+ years of experience as a Business Intelligence Engineer or similar senior-level role - Demonstrated expertise in designing and implementing complex, large More ❯
services Support pre-sales activities, including client presentations, demos and RFP/RFI responses tailored to financial services prospects Requirements Bachelors or Masters degree in Data Science, Computer Science, Statistics, Mathematics, Finance, Economics or a related field 5+ years of experience in data science, analytics or related roles within the financial services industry or IT consulting for financial institutions Strong … data Ability to articulate complex AI risks and strategies to non-technical stakeholders, including senior executives in banking and insurance Nice to have Ph.D. in Data Science, Computer Science, Statistics, Mathematics, Finance, Economics or a related field Expertise in stress testing models, scenario analysis and portfolio optimization We offer EPAM Employee Stock Purchase Plan (ESPP) Protection benefits including life assurance More ❯
services Support pre-sales activities, including client presentations, demos and RFP/RFI responses tailored to financial services prospects Requirements Bachelors or Masters degree in Data Science, Computer Science, Statistics, Mathematics, Finance, Economics or a related field 5+ years of experience in data science, analytics or related roles within the financial services industry or IT consulting for financial institutions Strong … data Ability to articulate complex AI risks and strategies to non-technical stakeholders, including senior executives in banking and insurance Nice to have Ph.D. in Data Science, Computer Science, Statistics, Mathematics, Finance, Economics or a related field Expertise in stress testing models, scenario analysis and portfolio optimization We offer EPAM Employee Stock Purchase Plan (ESPP) Protection benefits including life assurance More ❯
services Support pre-sales activities, including client presentations, demos and RFP/RFI responses tailored to financial services prospects Requirements Bachelors or Masters degree in Data Science, Computer Science, Statistics, Mathematics, Finance, Economics or a related field 5+ years of experience in data science, analytics or related roles within the financial services industry or IT consulting for financial institutions Strong … data Ability to articulate complex AI risks and strategies to non-technical stakeholders, including senior executives in banking and insurance Nice to have Ph.D. in Data Science, Computer Science, Statistics, Mathematics, Finance, Economics or a related field Expertise in stress testing models, scenario analysis and portfolio optimization We offer EPAM Employee Stock Purchase Plan (ESPP) Protection benefits including life assurance More ❯
