The driving force behind our success has always been the people of AspenTech. What drives us, is our aspiration, our desire and ambition to keep pushing the envelope, overcoming any hurdle, challenging the status quo to continually find a better way. You will experience these qualities of passion, pride and aspiration in many ways — from a rich set of career development programs to support of community service projects to social events that foster fun and relationship building across our global community.
The Role As a Principal Data Scientist in our rapidly growing Technology Group, you provide technical leadership in developing innovative solutions for the next generation of AspenTech’s Engineering Product Suite of Modeling and Simulation platforms. We are looking for sharp, disciplined, and highly quantitative individuals who have a passion for playing with complex data and cutting-edge technologies, in all its forms, including data mining, mathematical modeling, cognitive computing and expert systems. You will leverage your skills and passion for Machine Learning, AI, and Cognitive Computing to drive AspenTech’s Engineering Design and Simulation suite by developing ground-breaking software. The driving force behind our success has always been the people of AspenTech. What drives us, is our aspiration, our desire and ambition to keep pushing the envelope, overcoming any hurdle, challenging the status quo to continually find a better way. You will experience these qualities of passion, pride and aspiration in many ways — from a rich set of career development programs to support of community service projects to social events that foster fun and relationship building across our global community.
The Role As a Principal Data Scientist in our rapidly growing Technology Group, you provide technical leadership in developing innovative solutions for the next generation of AspenTech’s Engineering Product Suite of Modeling and Simulation platforms. We are looking for sharp, disciplined, and highly quantitative individuals who have a passion for playing with complex data and cutting-edge technologies, in all its forms, including data mining, mathematical modeling, cognitive computing and expert systems. You will leverage your skills and passion for Machine Learning, AI, and Cognitive Computing to drive AspenTech’s Engineering Design and Simulation suite by developing ground-breaking software. Your Impact Provide technical leadership to a group of data scientists, engineers, and software developers to develop new machine learning applications for the manufacturing and process industries.
Collaborate with customers, product managers and technical staff to develop technology strategies to promote continuous innovation in our Engineering Design and Simulation offerings.
Investigate new and developing technologies as they appear in industry and academia and determine how to leverage these new technologies into our software applications.
Provide thought leadership and represent AspenTech at industry and academic meetings and conferences.
What You'll Need Master’s in Computer Science, Engineering, Operation Research, or a related major; PhD preferred.
10+ years of experience in data analysis and software development/programming with one or more of Python, Julia, Matlab, C++/C and C#.
Experience leading technical teams in modeling, simulation or AI/ML related areas is desirable.
Strong expertise required in engineering mathematics, statistics and optimization.
Demonstrated experience with machine learning algorithms (regression, semi-supervised learning, deep learning, reinforcement learning, time series analysis, predictive modeling, data mining, cognitive computing).
Experience with LLM, generative AI, MLops, Graph Knowledge, and/or cloud technologies is a plus.
History of publishing research and results in the ML field.
Problem-solving ability and attention to details.
Demonstrated ability to use scientific research to deliver value to customers and are motivated to deliver results in a fast-paced environment.
Excellent interpersonal, communication, writing, and presentation skills.
Demonstrated ability to convey complex information in a clear and concise manner.

#J-18808-Ljbffr

The driving force behind our success has always been the people of AspenTech. What drives us, is our aspiration, our desire and ambition to keep pushing the envelope, overcoming any hurdle, challenging the status quo to continually find a better way. You will experience these qualities of passion, pride and aspiration in many ways — from a rich set of career development programs to support of community service projects to social events that foster fun and relationship building across our global community.
The Role  As a Principal Data Scientist in our rapidly growing Technology Group, you provide technical leadership in developing innovative solutions for the next generation of AspenTech’s Engineering Product Suite of Modeling and Simulation platforms. We are looking for sharp, disciplined, and highly quantitative individuals who have a passion for playing with complex data and cutting-edge technologies, in all its forms, including data mining, mathematical modeling, cognitive computing and expert systems. You will leverage your skills and passion for Machine Learning, AI, and Cognitive Computing to drive AspenTech’s Engineering Design and Simulation suite by developing ground-breaking software.  The driving force behind our success has always been the people of AspenTech. What drives us, is our aspiration, our desire and ambition to keep pushing the envelope, overcoming any hurdle, challenging the status quo to continually find a better way. You will experience these qualities of passion, pride and aspiration in many ways — from a rich set of career development programs to support of community service projects to social events that foster fun and relationship building across our global community.
The Role  As a Principal Data Scientist in our rapidly growing Technology Group, you provide technical leadership in developing innovative solutions for the next generation of AspenTech’s Engineering Product Suite of Modeling and Simulation platforms. We are looking for sharp, disciplined, and highly quantitative individuals who have a passion for playing with complex data and cutting-edge technologies, in all its forms, including data mining, mathematical modeling, cognitive computing and expert systems. You will leverage your skills and passion for Machine Learning, AI, and Cognitive Computing to drive AspenTech’s Engineering Design and Simulation suite by developing ground-breaking software.  Your Impact    Provide technical leadership to a group of data scientists, engineers, and software developers to develop new machine learning applications for the manufacturing and process industries.
Collaborate with customers, product managers and technical staff to develop technology strategies to promote continuous innovation in our Engineering Design and Simulation offerings.
Investigate new and developing technologies as they appear in industry and academia and determine how to leverage these new technologies into our software applications.
Provide thought leadership and represent AspenTech at industry and academic meetings and conferences.
What You'll Need   Master’s in Computer Science, Engineering, Operation Research, or a related major; PhD preferred.
10+ years of experience in data analysis and software development/programming with one or more of Python, Julia, Matlab, C++/C and C#.
Experience leading technical teams in modeling, simulation or AI/ML related areas is desirable.
Strong expertise required in engineering mathematics, statistics and optimization.
Demonstrated experience with machine learning algorithms (regression, semi-supervised learning, deep learning, reinforcement learning, time series analysis, predictive modeling, data mining, cognitive computing).
Experience with LLM, generative AI, MLops, Graph Knowledge, and/or cloud technologies is a plus.
History of publishing research and results in the ML field.
Problem-solving ability and attention to details.
Demonstrated ability to use scientific research to deliver value to customers and are motivated to deliver results in a fast-paced environment.
Excellent interpersonal, communication, writing, and presentation skills.
Demonstrated ability to convey complex information in a clear and concise manner.

#J-18808-Ljbffr

At MultiPlan, we pride ourselves on being a dynamic team of innovative professionals. Our purpose is simple - we strive to bend the cost curve in healthcare for all. Our dedication to service excellence extends to all of our stakeholders - internal and external - driving us to consistently exceed expectations. We are intentionally bold, we foster innovation, we nurture accountability, we champion diversity, and empower each other to illuminate our collective potential. Be part of our amazing transformational journey as we optimize the opportunity towards becoming a leading technology, data, and innovation voice in healthcare. Onward and upward!!! JOB SUMMARY: Multiplan pioneers innovative solutions for healthcare payments, drawing on unique insights and data analysis to create customized action plans to help our customers thrive. This position will work to enable deeper insights and better decision making through the use of data science techniques. They will work with stakeholders across the business to identify opportunities, understand data, develop actionable insights, and work to implement those insights into practice. JOB ROLES AND RESPONSIBILITIES: 1. Utilizing your intellectual curiosity, partner with stakeholders throughout the organization to identify opportunities to leverage company data and drive business solutions. 2. Mine and analyze data from company databases and use predictive modeling to drive optimization and improvement of product development, marketing techniques and business strategies. 3. Coordinate with Product Management, Engineering and DevOps colleagues in the implementation of models 4. Deploy solutions and develop continuous monitoring to ensure continued efficacy of solutions. 5. Employ ethical principles of machine learning/AI to ensure models are transparent, relevant, and properly used. 6. Mature our data science practice with continuous learning and knowledge sharing. 7. Collaborate, coordinate, and communicate across disciplines and departments. 8. Ensure compliance with HIPAA regulations and requirements. 9. Demonstrate Company's Core Competencies and values held within. 10. Please note due to the exposure of PHI sensitive datathis role is considered to be a High Risk and Privileged Role. 11. The position responsibilities outlined above are in no way to be construed as all encompassing. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary. JOB REQUIREMENTS (Education, Experience, and Training): * Minimum Bachelor's Degree in Quantitative Science or related field; Master's in Quantitative Science or related field preferred. * 3+ years experience in Data Science or related area. Healthcare space experience preferred * Proven experience using a variety of data mining/data analysis methods, using a variety of data tools, using/creating algorithms and creating/running simulations. * Have experience building and implementing models to be deployed in production environment. * Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. * Possess a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. * Possess a drive to learn and master new technologies and techniques. * Experience using statistical computer languages (Python preferred) to manipulate data and draw insights from large data sets. * Experience designing, conducting, analyzing, and interpreting experiments and investigations. * Process optimization experience preferred. * Problem solving, critical thinking, creativity, organizational, design, interpersonal, communication (written, verbal and listening) skills. * Proven ability to drive business results with data-based insights. * Ability to work with a wide range of stakeholders, functional teams and all levels of engineers. * Individual in this position must be able to work in a standard office environment which requires sitting and viewing monitor(s) for extended periods of time, operating standard office equipment such as, but not limited to, a keyboard, copier and telephone COMPENSATION The salary range for this position is $110K to $125K. Specific offers take into account a candidate's education, experience and skills, as well as the candidate's work location and internal equity. This position is also eligible for health insurance, 401k and bonus opportunity. BENEFITS We realize that our employees are instrumental to our success, and we reward them accordingly with very competitive compensation and benefits packages, an incentive bonus program, as well as recognition and awards programs. Our work environment is friendly and supportive, and we offer flexible schedules whenever possible, as well as a wide range of live and web-based professional development and educational programs to prepare you for advancement opportunities. Your benefits will include: <ul><li>Medical, dental and vision coverage with low deductible & copay</li><li>Life insurance </li><li>Short and long-term disability</li><li>401(k) + match</li><li>Generous Paid Time Off</li><li>Paid company holidays</li><li>Paid Parental Leave</li><li>Tuition reimbursement</li><li>Flexible Spending Account</li><li>Employee Assistance Program</li><li>Summer Hours</li></ul> EEO STATEMENT MultiPlan is an Equal Opportunity Employer and complies with all applicable laws and regulations. Qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability or protected veteran status. If you would like more information on your EEO rights under the law, please click here.

Description The Multi-Domain Solutions Division within Nation Security Sector at Leidos currently has an opening for a Data Scientist to work in our Reston, VA or Alexandria, VA office. Ability to work in Northern Virginia is preferred. Candidate working from remote locations will also be considered but must willing and able to attend meetings on site. Primary Responsibilities: <ul> <li>Responsible for leading the development of collaboration tools that enable enhanced communication, documentation and knowledge management </li><li>Development, deployment and sustainment of program dashboards that provide status and program execution (e.g., risk management, design management) in addition to the deployed network metrics (e.g., Service Level Agreements [SLAs], network status, network configuration) </li><li>Interface with the ABMS performers and facilitate data integration Program Management Dashboards, Systems Engineering and Development Dashboards, Network Operations Dashboards </li></ul>Basic Qualifications: <ul> <li>Bachelors degree with 12-15 years of prior relevant experience or Masters with 10+ years of prior relevant experience. </li><li>Demonstrated ability to use and integrate database and data visualization tools. </li><li>Demonstrated ability to deploy dashboard capabilities to diverse environments, platforms, and operating systems: Windows or Linux, Infrastructure as-a-Service (IaaS) or PaaS, and at any classification level. </li><li>Strong written and verbal communication skills to collaborate with customer representatives, domain experts, and other systems engineers in the development of complex DoD systems. </li><li>Demonstrated ability to participate in cross-functional planning, coordination, and task execution situations involving the full spectrum of system integration activities. </li></ul> Clearance Required: <ul> <li>Must possess a minimum of a Secret clearance with the ability to obtain and maintain a TS/SCI clearance </li></ul>Preferred Qualifications: <ul> <li>Experience as a SQL Server DBA </li><li>Experience with Leidos Performance Management (LPM) </li><li>Experience with OneSight </li><li>Experience with Service Now </li><li>Experience with Microsoft SharePoint </li><li>Experience with PowerBI </li><li>Experience with Splunk </li></ul> Original Posting Date: 2024-08-23While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $101,400.00 - $183,300.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is a Fortune 500® innovation company rapidly addressing the world's most vexing challenges in national security and health. The company's global workforce of 47,000 collaborates to create smarter technology solutions for customers in heavily regulated industries. Headquartered in Reston, Virginia, Leidos reported annual revenues of approximately $15.4 billion for the fiscal year ended December 29, 2023. For more information, visit www.Leidos.com . Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available here . Securing Your Data Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other person a l information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at [email protected] . If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission . Commitment to Diversity All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges—and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day—working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities, and a culture of innovation that embraces diversity, inclusion, flexibility, collaboration, and career growth. If this sounds like the choice you want to make, then choose MITRE—and make a difference with us.

Department Summary:

We are seeking a Senior Data Scientist to join our team. The Cost and Business Analytics Department within MITRE’s Center for Acquisition and Management Sciences (CAMS) Innovation Center solves our FFRDC’s and Sponsor’s problems by leveraging our capabilities within:

Cost Estimation, Schedule, and Risk Analysis

Investment Economics & Decision Analysis

Strategic Business & Financial Analytics

MITRE is seeking an experienced analyst to continue the growth of our business analytic/ business intelligence capability in support of a diverse set of internal and external sponsors. The work includes engaging with sponsors to scope and prioritize tasks, collecting large datasets to perform data-driven analyses, conducting market research, investigating relevant policies and regulations, understanding the current budgetary and political environment, and performing additional research and analysis as necessary. The business intelligence role involves consolidating multiple sources information into the most substantial findings and presenting those conclusions to sponsors, often as written reports and in-person briefings.

This position supports other department capabilities in cost, economic, business analyses, and business intelligence as needed. That work could include life cycle cost estimating, tradeoff and affordability analyses, decision analysis, portfolio investment analysis, and business case analysis.

Expect a dynamic team environment where tasks are rarely routine and often require novel approaches.

Expect to work on multiple projects simultaneously, with limited structure and supervision.

Roles & Responsibilities:

Assist in identifying sources of information and gathering a wide range of quantitative and qualitative data to support decisions that have implications for MITRE and its government sponsors

Apply analysis skills, including exploratory data analysis, time series analysis, and linear regression

Leverage other analysis to include, but not limited to econometric and economic modeling and analysis, cost benefit analysis, handling large datasets and data driven analysis, policy and investment analysis, sponsor engagement and support, economic analysis in support of regulatory policy, pre- and post-implementation analysis, forecasting, and applied research

Draw conclusions from analyses and clearly and concisely articulate key findings in both written and verbal form

Assist in developing data visualization products that improve the presentation of complex data sets

Translate unstructured data and nontraditional sources of information into business insights

Explore sponsor environments for cross-government challenges and identify potential best practices

Develop and/or evaluate program technical and programmatic baselines

Develop innovative development, production and operating and support (O&S) cost estimating techniques for a broad range of cost elements

Develop independent or program life cycle cost estimates (LCCE) and accompanying cost and schedule risk, uncertainty, and sensitivity analysis

Develop investment economic and decision analyses, including business case analyses, cost/benefit analyses, analysis-of- alternatives, and portfolio analysis

Develop strategic business and financial analyses, including but not limited to economic studies, cost recovery strategies, budget development & planning, and affordability analysis

Assess the credibility of government and industry cost estimates and economic analyses

Assess the credibility of government and industry cost savings initiatives

Basic Qualifications:

Bachelor’s degree in operations research, Mathematics, Statistics, Economics, Finance, Data Analytics, Data Science, Systems Engineering, or other engineering or quantitative analysis field

Typically requires a minimum of 5 years of related experience with a bachelor’s degree; or 3 years and a master’s degree; or a PhD with relevant experience who can immediately contribute at this job step; or equivalent combination of related education and work experience.

Experience with data analysis and visualization tools

Proficient with MS Office Suite, and other business intelligence tools for analysis such as Excel, Power BI with the ability to support business analytics with data

Excellent written and verbal communication skills

Technical depth with demonstrated skills and experience in presenting analytical results both verbally and in writing

Investment modeling and analysis, cost benefit analysis, experience in handling large datasets for data driven analysis, policy and investment analysis, and economic analysis in support of regulatory policy, pre- and post-implementation analysis, forecasting, and applied research

Ability to obtain and maintain a Top-Secret level security clearance

This position requires a minimum of 4 days a week on-site

Preferred Qualifications:

Master’s in Economics, Mathematics, Statistics, Finance, Business, Operations Research, Data Analytics, Data Science, Systems Engineering, or other engineering field

Experience with econometric/economic modeling and analysis

Experience with developing Independent Government Cost Estimates (IGCEs) for service and product acquisitions

Expertise in using specific tools such as R, Tableau, Python and Qlik

Expertise and experience with Amazon Web Services

Expertise in using parametric cost estimating tools (PRICE, SEER SEM, etc.)

One to ten years of experience with cost estimating, cost risk analysis, and/or budgeting and the CPIC process in defense, intelligence and/or civil agencies

Proficiency in development of risk-adjusted LCCEs and investment economic and decision analyses

Source selection cost evaluation experience

ICEAA Certification or Defense Acquisition Workforce Initiative Act (DAWIA) certification desired

Possess an active Top Secret level security clearance

This requisition requires the candidate to have a minimum of the following clearance(s):

None

This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):

Top Secret

Work Location Type:

Hybrid

MITRE is proud to be an equal opportunity employer. MITRE recruits, employs, trains, compensates, and promotes regardless of age; ancestry; color; family medical or genetic information; gender identity and expression; marital, military, or veteran status; national and ethnic origin; physical or mental disability; political affiliation; pregnancy; race; religion; sex; sexual orientation; and any other protected characteristics. For further information please visit the Equal Employment Opportunity Commission website EEO is the Law Poster (https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRights_10_20.pdf) and Pay Transparency (https://www.dol.gov/sites/dolgov/files/OFCCP/pdf/pay-transp_%20English_formattedESQA508c.pdf) .

MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE’s employment process, please email recruitinghelp@mitre.org .

Copyright © 2024, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.

Benefits information may be found here (https://careers.mitre.org/us/en/benefits)

The driving force behind our success has always been the people of AspenTech. What drives us, is our aspiration, our desire and ambition to keep pushing the envelope, overcoming any hurdle, challenging the status quo to continually find a better way. You will experience these qualities of passion, pride and aspiration in many ways - from a rich set of career development programs to support of community service projects to social events that foster fun and relationship building across our global community.
The RoleAs a Senior Data Scientist in our rapidly growing Technology Group, you provide technical leadership in developing innovative solutions for the next generation of AspenTech's Engineering Product Suite of Modeling and Simulation platforms. We are looking for sharp, disciplined, and highly quantitative individuals who have a passion for playing with complex data and cutting-edge technologies, in all its forms, including data mining, mathematical modeling, cognitive computing and expert systems. You will leverage your skills and passion for Machine Learning, AI and Cognitive Computing to drive AspenTech's Engineering Design and Simulation suite by developing ground-breaking software. Your Impact   Provide technical leadership and collaborate with data scientists, engineers, and software developers to develop new machine learning applications for the manufacturing and process industries.
Collaborate with customers, product managers and technical staff to develop technology strategies to promote continuous innovation in our Engineering Design and Simulation offerings.
Investigate new and developing technologies as they appear in industry and academia and determine how to leverage these new technologies into our software applications.
Provide thought leadership and represent AspenTech at industry and academic meetings and conferences.
What You'll Need   Master's in Computer Science, Engineering, Operation Research, or a related major; PhD preferred.
5+ years of experience in data analysis and software development/programming with one or more of Python, Julia, Matlab, C++/C and C#.
Strong expertise required in engineering mathematics, statistics and optimization.
Demonstrated experience with machine learning algorithms (regression, semi-supervised learning, deep learning, reinforcement learning, time series analysis, predictive modeling, data mining, cognitive computing).
Experience with LLM, generative AI, MLops, Graph Knowledge, and/or cloud technologies is a plus.
History of publishing research and results in the ML field
Participated in the design, development, evaluation, and deployment of scalable data-driven models and analytical solutions for machine learning application.
Problem-solving ability and attention to details.
Demonstrated ability to use scientific research to deliver value to customers and are motivated to deliver results in a fast-paced environment.
Excellent interpersonal, communication, writing, and presentation skills.
Demonstrated ability to convey complex information in a clear and concise manner.
#LI-DW1

At MultiPlan, we pride ourselves on being a dynamic team of innovative professionals. Our purpose is simple - we strive to bend the cost curve in healthcare for all. Our dedication to service excellence extends to all of our stakeholders - internal and external - driving us to consistently exceed expectations. We are intentionally bold, we foster innovation, we nurture accountability, we champion diversity, and empower each other to illuminate our collective potential. Be part of our amazing transformational journey as we optimize the opportunity towards becoming a leading technology, data, and innovation voice in healthcare. Onward and upward!!! JOB SUMMARY: Multiplan pioneers innovative solutions for healthcare payments, drawing on unique insights and data analysis to create customized action plans to help our customers thrive. This position will work to enable deeper insights and better decision making through the use of data science techniques. They will work with stakeholders across the business to identify opportunities, understand data, develop actionable insights, and work to implement those insights into practice. JOB ROLES AND RESPONSIBILITIES: 1. Utilizing your intellectual curiosity, partner with stakeholders throughout the organization to identify opportunities to leverage company data and drive business solutions. 2. Mine and analyze data from company databases and use predictive modeling to drive optimization and improvement of product development, marketing techniques and business strategies. 3. Coordinate with Product Management, Engineering and DevOps colleagues in the implementation of models 4. Deploy solutions and develop continuous monitoring to ensure continued efficacy of solutions. 5. Employ ethical principles of machine learning/AI to ensure models are transparent, relevant, and properly used. 6. Mature our data science practice with continuous learning and knowledge sharing. 7. Collaborate, coordinate, and communicate across disciplines and departments. 8. Ensure compliance with HIPAA regulations and requirements. 9. Demonstrate Company's Core Competencies and values held within. 10. Please note due to the exposure of PHI sensitive datathis role is considered to be a High Risk and Privileged Role. 11. The position responsibilities outlined above are in no way to be construed as all encompassing. Other duties, responsibilities, and qualifications may be required and/or assigned as necessary. JOB REQUIREMENTS (Education, Experience, and Training): * Minimum Bachelor's Degree in Quantitative Science or related field; Master's in Quantitative Science or related field preferred. * 3+ years experience in Data Science or related area. Healthcare space experience preferred * Proven experience using a variety of data mining/data analysis methods, using a variety of data tools, using/creating algorithms and creating/running simulations. * Have experience building and implementing models to be deployed in production environment. * Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. * Possess a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. * Possess a drive to learn and master new technologies and techniques. * Experience using statistical computer languages (Python preferred) to manipulate data and draw insights from large data sets. * Experience designing, conducting, analyzing, and interpreting experiments and investigations. * Process optimization experience preferred. * Problem solving, critical thinking, creativity, organizational, design, interpersonal, communication (written, verbal and listening) skills. * Proven ability to drive business results with data-based insights. * Ability to work with a wide range of stakeholders, functional teams and all levels of engineers. * Individual in this position must be able to work in a standard office environment which requires sitting and viewing monitor(s) for extended periods of time, operating standard office equipment such as, but not limited to, a keyboard, copier and telephone COMPENSATION The salary range for this position is $110K to $125K. Specific offers take into account a candidate's education, experience and skills, as well as the candidate's work location and internal equity. This position is also eligible for health insurance, 401k and bonus opportunity. BENEFITS We realize that our employees are instrumental to our success, and we reward them accordingly with very competitive compensation and benefits packages, an incentive bonus program, as well as recognition and awards programs. Our work environment is friendly and supportive, and we offer flexible schedules whenever possible, as well as a wide range of live and web-based professional development and educational programs to prepare you for advancement opportunities. Your benefits will include: <ul> <li>Medical, dental and vision coverage with low deductible & copay </li><li>Life insurance </li> <li>Short and long-term disability </li><li>401(k) + match </li><li>Generous Paid Time Off </li><li>Paid company holidays </li><li>Paid Parental Leave </li><li>Tuition reimbursement </li><li>Flexible Spending Account </li><li>Employee Assistance Program </li><li>Summer Hours </li></ul> EEO STATEMENT MultiPlan is an Equal Opportunity Employer and complies with all applicable laws and regulations. Qualified applicants will receive consideration for employment without regard to age, race, color, religion, gender, sexual orientation, gender identity, national origin, disability or protected veteran status. If you would like more information on your EEO rights under the law, please click here.

The driving force behind our success has always been the people of AspenTech. What drives us, is our aspiration, our desire and ambition to keep pushing the envelope, overcoming any hurdle, challenging the status quo to continually find a better way. You will experience these qualities of passion, pride and aspiration in many ways - from a rich set of career development programs to support of community service projects to social events that foster fun and relationship building across our global community. The RoleAs a Principal Data Scientist in our rapidly growing Technology Group, you provide technical leadership in developing innovative solutions for the next generation of AspenTech's Engineering Product Suite of Modeling and Simulation platforms. We are looking for sharp, disciplined, and highly quantitative individuals who have a passion for playing with complex data and cutting-edge technologies, in all its forms, including data mining, mathematical modeling, cognitive computing and expert systems. You will leverage your skills and passion for Machine Learning, AI, and Cognitive Computing to drive AspenTech's Engineering Design and Simulation suite by developing ground-breaking software. Your Impact Provide technical leadership to a group of data scientists, engineers, and software developers to develop new machine learning applications for the manufacturing and process industries. Collaborate with customers, product managers and technical staff to develop technology strategies to promote continuous innovation in our Engineering Design and Simulation offerings. Investigate new and developing technologies as they appear in industry and academia and determine how to leverage these new technologies into our software applications. Provide thought leadership and represent AspenTech at industry and academic meetings and conferences. What You'll Need Master's in Computer Science, Engineering, Operation Research, or a related major; PhD preferred. 10 years of experience in data analysis and software development/programming with one or more of Python, Julia, Matlab, C++/C and C#. Experience leading technical teams in modeling, simulation or AI/ML related areas is desirable. Strong expertise required in engineering mathematics, statistics and optimization. Demonstrated experience with machine learning algorithms (regression, semi-supervised learning, deep learning, reinforcement learning, time series analysis, predictive modeling, data mining, cognitive computing). Experience with LLM, generative AI, MLops, Graph Knowledge, and/or cloud technologies is a plus. History of publishing research and results in the ML field. Problem-solving ability and attention to details. Demonstrated ability to use scientific research to deliver value to customers and are motivated to deliver results in a fast-paced environment. Excellent interpersonal, communication, writing, and presentation skills. Demonstrated ability to convey complex information in a clear and concise manner.

Data Scientist Jobs in Bedford, MA

Principal Data Scientist
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Sr Data Scientist
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Data Scientist Ii Remote
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Principal Data Scientist
November 30, 2024

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Data Scientist Jobs in Bedford, MA

Principal Data ScientistDecember 15, 2024

Principal Data ScientistDecember 13, 2024

Data Scientist Ii RemoteDecember 5, 2024

Data ScientistDecember 4, 2024

Senior Data ScientistDecember 2, 2024

Sr Data ScientistDecember 2, 2024

Data Scientist Ii RemoteNovember 30, 2024

Principal Data ScientistNovember 30, 2024