business data analyst

research scientist

senior scientist, data science - hybrid Jobs in Boston

senior scientist, data science - hybrid

sr data scientist

data scientist

Citizens

<div>Description
Citizens Financial Group, Inc. (CFG) seeks a Data Scientist for its Boston, MA location.
Duties: Develop and maintain models used in balance sheet forecasting. Use data mining, segmentation analysis, and market analysis to analyze portfolio characteristics and customer behavior. Monitor model performance and communicate analytical findings and insights to internal stakeholders through comprehensive reporting. Propose model changes, including overlays, recalibration, redevelopment, tuning, sensitivity testing, CCAR, back testing, and fundamental driver analyses. Perform analysis of models that affect ALM models and behavior, including mortgage and MSR (mortgage servicing rights) prepayment, deposit balance and yield, and interest rate and term structure models. Collaborate with Model Risk Management &amp; Validation, Market Risk Management, and other teams to facilitate periodic model validations and reviews. Propose improved approaches to loan and deposit modeling. Assist in developing forward-looking macroeconomic and interest rate views while collaborating with Treasury for balance sheet management. Provide analytical support to management in developing strategies for balance sheet and liquidity decisions. Utilize QRM and BlackRock (Aladdin system) for mortgage modeling and risk analysis. Support initiatives including balance sheet optimization, funds transfer pricing, mortgage servicing rights, and CCAR/DFAST. 
Requirements: Bachelor&rsquo;s degree in Statistics, Data Science, or a closely related STEM field. Must include the following, gained either through education or professional experience: Designing and implementing robust data pipelines to provision data from various sources, ensuring timely and accurate data availability for analytics and reporting; Leveraging Python, including NumPy, Pandas, Matplotlib, Dask, and Scikit-learn libraries, and SQL to process, clean, and prepare data for models and business reports; Using R and SQL to analyze, query, and validate data across relational databases, ensuring data quality meets business requirements; Managing real-time data integration and provisioning using Apache Kafka to enable seamless data flow for business-critical applications; Developing and maintaining data solutions on big data platforms including Apache Spark, PySpark, and Hadoop, processing large-scale datasets to meet business needs; Implementing cloud-based data solutions using AWS Redshift to enable scalable data storage and high-performance querying for business intelligence; Designing and optimizing relational databases to store, retrieve, and provision structured data in accordance with business and analytics requirements; Utilizing Tableau and PowerBI to create customized reports and visualizations; Applying data mining techniques (including clustering and association) to discover trends, patterns, and anomalies in data, supporting business teams with actionable insights; Conducting statistical analysis and using methods such as A/B testing and regression analysis to validate and support key business initiatives; Ensuring smooth collaboration using Git for version control and GitHub for tracking code changes in data provisioning workflows; Performing data profiling tasks to ensure data from various sources is accurate, clean, and aligned with business objectives before provisioning to analytical environments; Maintaining continuous data provisioning using DBeaver for database interaction, enabling seamless integration with relational databases for data support; Leveraging SAS to automate the provisioning of datasets, ensuring data is pre-processed and ready for analysis or modeling; and Leveraging BlackRock Aladdin and QRM for quantitative modeling, risk analysis, and financial forecasting, integrating results with Python-based workflows results.
May telecommute from any U.S. location.
Direct applicants only. 
Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance.

Equal Employment Opportunity
Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague&rsquo;s or a dependent&rsquo;s reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.
Why Work for Us
At Citizens, you'll find a customer-centric culture built around helping our customers and giving back to our local communities. When you join our team, you are part of a supportive and collaborative workforce, with access to training and tools to accelerate your potential and maximize your career growth
Background Check
Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of the background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information.</div>

Data Scientist

<div>Description
Citizens Financial Group, Inc. (CFG) seeks a Senior Data Scientist for its Boston, MA location.
Duties: Analyze credit risk valuation models, correlations, concentrations, rating migrations, and risk contributions. Develop econometric models built on solid conceptual foundation that supports business needs. Work with business line partners in embedding and socializing econometric models and support with on-going requests. Analyze commercial lending portfolios to review trends that support applications models. Explore large data sets using advanced statistical and modeling tools and pull datasets directly from source systems. Work with appropriate parties to resolve or remediate data quality issues. Maintain, review, and adhere to organization&rsquo;s credit policy. Conduct constant monitoring and validation of underlying credit theories and methodologies. Support implementation of developed models, including third party vendor solution tools for credit risk and other applications. Participate in peer review sessions and maintain awareness of new advances in credit risk modeling techniques to ensure the application of best practices to CFG credit risk models. Maintain technical documentation of developed models and model implementations. Troubleshoot implemented models in both internal and third-party vendor solutions.
Requirements: Master&rsquo;s degree in Physics, Data Analytics, or related quantitative field and two (2) years of experience in the role or in a related position. Full term of experience must include: Utilizing relational databases, statistical analysis programming languages, and software, including SAS Enterprise Guide, SQL, R, Stata, AWS RedShift and Python, to extract high volume and complex data from external databases, including Oracle; Performing exploratory data analysis in Datalake using Python &amp; R; Developing predictive models by implementing data analysis and research, including time series analysis, regression analysis, categorical analysis, machine learning methods, advanced econometric techniques related to panel data analysis, and data imputation; Utilizing the underlying mathematical principles behind statistical methods to evaluate and interpret the results of predictive models in a reasonable manner; Utilizing advanced statistical programming and visualization software, including SAS, Python, R and , to create complex reports and graphs; Building back testing and benchmarking tools to monitor model performance in accordance with established ALM policy; Implementing complex computational methods and models using R, SAS and Python; Standardizing, harmonizing, cleaning, preparing, and using data for developing datasets, reporting and analysis; Utilizing SQL Tools including Oracle and SQLite; Building pilot solutions and performing proof of concept for business problems using technologies including Graph Databases; Utilizing distributed computing and cloud software, including Amazon Web Services and Sage Maker; Utilizing version control tools, including Git, to develop reproducible code; Utilizing Command line interface and Shell Scripting languages to optimize workflows; Utilizing Package Version management software, including Anaconda; Utilizing IDEs, including VS Code, RStudio, Jupyter, and JupyterLab; and Utilizing Documentation tools, including LATEX and RMarkdown.
May telecommute from any U.S. location.
Direct applicants only.
Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance.

Equal Employment Opportunity
Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague&rsquo;s or a dependent&rsquo;s reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.
Why Work for Us
At Citizens, you'll find a customer-centric culture built around helping our customers and giving back to our local communities. When you join our team, you are part of a supportive and collaborative workforce, with access to training and tools to accelerate your potential and maximize your career growth
Background Check
Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of the background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information.</div>

Sr Data Scientist

<div><div>What you&rsquo;ll need to succeed as a Senior Scientist, Data Science at XPO</div><div>
Minimum qualifications:</div><ul><li>
Bachelor&rsquo;s degree or equivalent related work or military experience</li><li>
2 years of experience in data science, operations research, or data analysis with a focus on AI-driven analytics, statistical modeling, machine learning, forecasting, or optimization</li><li>
Experience in at least one programming language such as Python, R, SQL, SAS, Spark, Java, etc., with practical applications in AI or ML projects</li><li>
Familiarity with AI techniques and machine learning algorithms, including supervised and unsupervised learning</li><li>
Strong communication skills with a knack for translating complex AI concepts into clear business insights</li></ul><div>
Preferred qualifications:</div><ul><li>
Bachelor&rsquo;s degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or any related quantitative discipline</li><li>
A Master&rsquo;s or PhD in Computer Science, AI, Data Science, or a related quantitative field</li><li>
years of hands-on experience in developing and deploying optimization solutions</li><li>
5+ years&rsquo; experience in pricing optimization, demand forecasting, utilizing statistical modeling, machine learning, and reinforcement learning techniques.</li><li>
Experience with causal inference and measurement methods for analyzing the impact of pricing algorithms on revenue</li><li>
Experience with reinforcement learning for pricing optimization, decision-making, and consumer behavior modeling</li><li>
Proven track record of delivering AI-enabled insights that improved operations, financial performance, or customer experience</li><li>
Strong foundation in statistics including hypothesis testing, anomaly detection, and statistical inference, as applied in AI model validation</li><li>
Hands-on experience building and deploying AI models, including supervised, unsupervised, and deep learning methods</li></ul><div></div><div> 
About the Senior Scientist, Data Science job</div><div>
Pay, benefits and more:</div><ul><li>
Competitive compensation package</li><li>
Full health insurance benefits are available on day one</li><li>
Life and disability insurance</li><li>
Earn up to 15 days of PTO over your first year
</li><li>9 paid company holidays</li><li>
401(k) option with company match</li><li>
Education assistance</li><li>
Opportunity to participate in a company incentive plan</li></ul><div></div><div> 
What you&rsquo;ll do on a typical day:</div><ul><li>
Leverage Machine Learning, AI, statistical and/or optimization methods to solve various problems in Pricing, Sales, and Finance in order to optimize revenue for the company</li><li>
Work with a team of data scientists and engineers to design, test and implement models into in-house software solutions</li><li>
You will be a thought leader for the practice of Data Science and Analytics across the organization</li><li>
Explore and research cutting-edge Artificial Intelligence techniques and statistical methods, to identify opportunities to drive process improvements through analytics and automation</li><li>
Conduct and present ad-hoc analyses to senior leaders within the business and technology organizations</li><li>
Communicate with technical and business-oriented audiences</li><li>
Serve as a subject matter expert in applying AI techniques to logistics and transportation challenges</li><li>
Leverage advanced data science methods, including machine learning, deep learning, and optimization, to enhance business performance</li><li>
Perform analytics ranging from predictive to prescriptive and cognitive, aligning with AI maturity levels based on project needs</li><li>
Combine technical skills in AI and data science with strong business acumen to deliver real-world impact at XPO</li></ul><div></div><div> 
Annual Salary Range: $106,383 to $132,978 Actual compensation may vary due to factors such as experience and skill set. This is an incentive-based position, which may include bonuses, incentive or commission plans.</div> 
About XPO
XPO is a top ten global provider of transportation services, with a highly integrated network of people, technology and physical assets. At XPO, we look for employees who like a challenge and can communicate effectively in all situations. We want to leverage your skills and years of experience to drive positive results while ensuring a bright future for yourself and XPO. If you&rsquo;re looking for a growth opportunity, join us at XPO. 
We are proud to be an Equal Opportunity employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status. 
All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test. 
The above statements are not an exhaustive list of all required responsibilities, duties and skills for this job classification.</div>

Senior Scientist, Data Science - Hybrid

Northeastern University

<div>About the Opportunity
About the Institute
Do you want to be part of an exciting new Institute focused on combining human and machine intelligence into working AI solutions? 
 
We are building a pioneering research and innovation hub in AI&mdash;one that will shape the way humans and machines collaborate for decades to come. Led by Prof. Alan Mislove, the Institute for Experiential AI is built around the challenges and opportunities made possible by human-machine collaboration. The Institute provides a framework to design, implement, and scale AI-driven technologies in ways that make a true difference to society. Our ability to respond to the opportunities afforded to society will depend on training and building a workforce that is AI-capable and prosperous. 
 
Founded in 1898, Northeastern is a global research university and the recognized leader in experience-driven lifelong learning. Our world-renowned experiential approach empowers our students, faculty, alumni, and partners to create impact far beyond the confines of discipline, degree, and campus.
The Culture
Here at the Institute for Experiential AI (EAI) we are committed to the highest standards in all we do. Working at the EAI offers opportunities, an environment, and a culture that just isn&rsquo;t found together anywhere else. This is the right place for you if you&rsquo;re curious, motivated by the future of technology, and want to be part of a unique and diverse community that works on high-impact research, educational, business, and societal problems.
Job Summary
Northeastern University's Institute for Experiential AI has established a position for a Research Scientist focused on work AI and Life Sciences. The Research Scientist will be based out of the Boston campus, MA, conduct applied research, prepare work for submission to journal/conference publications, contribute to extramural funding applications, and manage projects in connection with projects. This position is a 1-year renewable appointment. The position will be associated with the AI + Life Sciences vertical and will be responsible for Co-developing, collaboratively leading, and participating in research projects related to AI and the life sciences. These will include applications of neural networks to the analysis of multi-omic data, models for predicting phenotypes using genotype data, biological data integration, etc. Participation in these projects will include scientific programming, data analysis, manuscript preparation, meeting with collaborators, etc.
 
 
In particular, the Research Scientist hired for this position is expected to develop AI algorithms for the directed evolution of proteins with a combination of public and proprietary data, supervise Co-Op hires working on the same project, and collaborate with academic and industry partners of EAI. The Research Scientist will actively collaborate on this with the Computational Biology group led by Predrag Radivojac at Khoury College, Northeastern University, and Ayan Paul, EAI, Northeastern University.
General Minimum Qualifications
<ul><li>A Ph.D. in computer science, computational biology, or Bioinformatics by the appointment start date.
</li><li>A record of outstanding research, as evidenced by publications, grants, software outputs, and other scholarly measures of impact.
</li><li>Strong demonstrable background in machine learning including published work. Must have demonstrable experience in building AI models for directed evolution of proteins and protein function prediction and optimization.
</li><li>Must have 3+ experience in bioinformatics and/or biological data formats.
</li><li>Must have familiarity with protein bioinformatics (understanding of protein structure and function).
</li><li>Must have 2 - 3 years of progressive experience that demonstrates an ability to plan and conduct research.
</li><li>Must have experience in research software development, FAIR data/open science, life sciences data systems, and analysis of various kinds of &lsquo;omics data (e.g., metabolomics, proteomics, genomics, transcriptomics, etc.).
</li><li>Postdoctoral research experience in an academic or industry setting is a bonus.
 
Proposal preparations for sponsored research funding, research experience involving team science projects, and project management experience are highly desired.
</li></ul>Additional Values &amp; Abilities:
<ul><li>Ability to establish an independent, extramurally funded research program.
</li><li>We expect research scientists to establish and advocate for best practices in scientific reproducibility of all results, and to promote the ethical use of data and algorithms.
</li><li>Excellent written and verbal communication skills and ability to communicate effectively with a variety of different stakeholders, e.g., academics, business executives, government officials, journalists/media, etc.
</li><li>Comfortable navigating complex internal processes and structures.
</li><li>Respect for diversity and the importance of interdisciplinary teams.
</li><li>Entrepreneurial mindset, self-starter, and innovative thinker while at the same time being able to navigate multi-layered channels within a university setting and work across multiple teams/business units.
</li><li>Team-player who can collaborate effectively in a university setting and with corporate partners.
</li><li>Open-minded, assertive, and professional when collaborating and working within our team and with other groups within Northeastern University.
</li></ul>Key Responsibilities &amp; Accountabilities
<ul><li>(75%) Co-develop, collaboratively lead and participate in research projects that advance scientific knowledge and solve relevant societal and industrial problems. Participation in these projects will include supervising/mentoring postdoctoral researchers, graduate/ undergraduate students, scientific programming, data analysis, manuscript preparation, meeting with collaborators, etc.
</li><li>(10%) Secure sufficient and pertinent research funding to supplement finances by preparing research grant applications, delivering grant milestones, and delivering reports and presentations.
</li><li>(10%) Represent the university in conferences, seminars, and other public events, as well as in media outlets. Perform service for the university and the research community volunteering in different types of committees.
</li><li>(5%) Other assignments as deemed necessary.
</li></ul>Financial Measures
Research scientists are expected to progressively obtain extramural research funding to fund their research. Salary support is contingent to availability of grant funding.
Supervision
Formally none, but they can supervise postdocs and graduate students.
Required Documents :
Please submit the following documents in a single Word/PDF document along with your application:
1. Cover Letter
2. Resume (Please include contact information of referees for at least three letters of reference)
3. A few samples of your Research Papers/Articles
4. Research Statement. The research statement should not exceed 2 pages. A reference cited section can be appended following the research statement and does not count toward the page limit. Please use 11- or 12-point size and a standard font. Page margins should be 1 inch or greater. Please address the following:
a. Describe your research and how it has contributed to your field.
b. What future directions do you anticipate for your research?
c. What funding have you received and what potential do your future research plans have for funding? Please identify specific funding mechanisms where possible.
d. Who are your primary collaborators and what are your experiences with industrial collaborations?
Position Type
Research
Additional Information
Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.
<div><div><div><div>Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness &amp; life, retirement- as well as commuting &amp; transportation. Visit https://hr.northeastern.edu/benefits/ for more information.
</div></div></div></div>All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.
Compensation Grade/Pay Type:
111S
Expected Hiring Range:
$86,490.00 - $122,163.75
With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.</div>

Research Scientist

DraftKings

<div>At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It&rsquo;s transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We&rsquo;re not waiting for the future to arrive. We&rsquo;re shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together.<h3 class="jobSectionHeader">
The Crown Is Yours</h3><h3 class="jobSectionHeader">
As a Senior Lead Data Science Engineer, you will leverage your expertise in data science and analytics to drive impactful projects to create the most relevant product in the Sportsbook industry. Your work will be critical to deeply integrate our data science-powered understanding of the customer within our content engine and platforms. We provide a world-class, immersive experience for our users and are at the forefront of technological innovation in the industry. Our Sports Intelligence team plays a critical role in developing solutions that power our platform and drive our business forward. 
 
What You'll Do</h3><ul><li>
Develop and implement advanced statistical models and machine learning algorithms to analyze large datasets and extract meaningful insights.</li><li>
Collaborate with cross-functional teams, including product, engineering, and marketing, to understand business needs and translate them into data science solutions.</li><li>
Communicate complex analyses and insights to technical and non-technical stakeholders, influencing strategic decision-making.</li><li>
Ensure the quality and integrity of data used for analysis, and drive the development of data infrastructure and tools.</li><li>
Lead and mentor a team to innovate and experiment with new data-driven approaches to content generation and user engagement.</li></ul><h3 class="jobSectionHeader"> 
What You'll Bring</h3><ul><li>
Master's degree or PhD in a relevant field such as Computer Science, Statistics, or Mathematics is preferred.</li><li>
Extensive experience in data science, machine learning, and statistical modeling, with a proven track record of leading successful projects.</li><li>
Proficiency in programming languages such as Python, and experience with data manipulation and visualization tools.</li><li>
Experience with personalization algorithms and techniques, and a strong understanding of their application in content delivery.</li><li>
Strong leadership skills with the ability to mentor and develop a high-performing team.</li><li>
Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.</li><li>
Familiarity with user behavior analysis and its integration into content and product strategies.</li></ul><h3 class="jobSectionHeader">
Join Our Team</h3>
We&rsquo;re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don&rsquo;t worry, we&rsquo;ll guide you through the process if this is relevant to your role.
The US base salary range for this full-time position is 160,000.00 USD - 200,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
We know finding a new job can be intimidating. Don't let imposter syndrome stop you from applying! Even if you don't think you tick off every box in this job description, we'd still love for you to apply or join our Talent Community.
DraftKings is proud to be an equal-opportunity employer. We do not tolerate discrimination of any kind and are committed to providing equal employment opportunities regardless of your gender identity, race, nationality, religion, sexual orientation, status as a protected veteran, or status as an individual with a disability.</div>

Senior Lead Data Science Engineer, Personalization

Harvard University

<div></div><div><div><div><div><div><div>November 26, 2025
</div></div><div><div><div>001880SR</div></div></div></div></div></div></div>
 <div><div><div>Company Description 
By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive.
Why join HBS Foundry?
HBS Foundry is a new initiative at Harvard Business School that helps founders build, fund, and launch their ventures through an AI-driven digital learning platform. We&rsquo;re a small, collaborative team within one of the world&rsquo;s most respected institutions&mdash;combining the energy of a startup with the mission and reach of Harvard. Foundry brings together educators, engineers, and creative thinkers who are passionate about innovation, learning, and impact. Together, we&rsquo;re developing tools and experiences that empower founders to grow their ventures and their confidence. It&rsquo;s an exciting, fast-moving environment where new ideas matter and every team member has the opportunity to shape what comes next. 
Job Description 
Job Summary:
Lead comprehensive applications/web development for highly complex projects; typically work as part of a team to implement complex business solutions. Deliver strategic and expert coding; focus on overarching development strategy for a large, complex, multi-faceted application. May manage a number of projects simultaneously.
We are seeking a talented Applied AI Engineer to join our team. In this role, you will design, develop, and deploy state-of-the-art generative AI models, directly impacting our platform's ability to provide interactive and intelligent tools for our users.
Job-Specific Responsibilities:<ul><li>
Build trust and collaboration by being present on-site and engaging directly with colleagues and various constituents.</li><li>
Develop and train AI models: Create and train machine learning models and neural networks for tasks like data analysis, natural language processing, and computer vision.</li><li>
Implement and integrate AI: Write code to integrate AI functionality into existing software and ensure seamless deployment with other systems and APIs.</li><li>
Data preprocessing: Clean, prepare, and manage large datasets to be used for training and fine-tuning models.</li><li>
Optimize performance: Design and optimize machine learning algorithms for scalability and high performance and continuously monitor and test AI systems for improvement.</li><li>
Collaborate with teams: Work with data scientists, project managers, and other stakeholders to identify business needs and deliver AI solutions.</li><li>
Stay updated: Keep up with the latest advancements in AI technology, tools, and trends to ensure projects remain innovative.</li><li>
This role is responsible for other duties as assigned.</li></ul> 
Qualifications 
Basic Qualifications:<ul><li>
Minimum of seven years&rsquo; post-secondary education or relevant work experience</li><li>
Education: A bachelor's degree in computer science, data science, or a related field is required.</li><li>
Programming: Strong proficiency in programming languages such as Python and Java.</li><li>
AI/ML Frameworks: Experience with AI frameworks like TensorFlow and PyTorch.</li><li>
Problem-solving: Strong analytical and logical thinking skills to tackle complex problems.</li><li>
Collaboration: Ability to work effectively with cross-functional teams.</li><li>
Cloud experience: Familiarity with cloud platforms is often beneficial.</li></ul> 
Additional Information<ul><li> 
Appointment End Date: This position is approved as a term appointment with an end date of June 30, 2027. There is a possibility of renewal/extension.</li><li>
Standard Hours/Schedule: 40 hours per week</li><li>
Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position</li><li>
Pre-Employment Screening: Identity, Education, Criminal</li><li>
Other Information:<ul><li>
This is a hybrid position which we consider to be a combination of remote and onsite work at our Boston, MA based campus. HBS expects all staff to be onsite a minimum of 3 days per week and departments provide onsite coverage Monday &ndash; Friday. Specific hours and days onsite will be determined by business needs and are subject to change with appropriate advanced notice.</li><li>
We may conduct candidate interviews virtually (phone and/or via Zoom) and/or in-person for this role</li><li>
As part of our evaluation, candidates are required to complete a Take Home Assignment after clearing Technical Recruiter Screen. This assignment will test your specific skills/knowledge areas relevant to the role.</li><li>
A cover letter is required to be considered for this opportunity.</li></ul></li></ul><div></div>
Work Format Details
This position has been determined by school or unit leaders that some of the duties and responsibilities can be effectively performed at a non-Harvard location. The work schedule and location will be set by the department at its discretion and based upon operational needs. When not working at a Harvard or Harvard-designated location, employees in hybrid positions must work in a Harvard registered state in compliance with the University&rsquo;s Policy on Employment Outside of Massachusetts. Additional details will be discussed during the interview process. Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment.

Salary Grade and Ranges
This position is salary grade level 059. Please visit Harvard's Salary Ranges to view the corresponding salary range and related information.

Benefits
Harvard offers a comprehensive benefits package that is designed to support a healthy work-life balance and your physical, mental and financial wellbeing. Because here, you are what matters. Our benefits include, but are not limited to:<ul><li>
Generous paid time off including parental leave</li><li>
Medical, dental, and vision health insurance coverage starting on day one</li><li>
Retirement plans with university contributions</li><li>
Wellbeing and mental health resources</li><li>
Support for families and caregivers</li><li>
Professional development opportunities including tuition assistance and reimbursement</li><li>
Commuter benefits, discounts and campus perks</li></ul>
Learn more about these and additional benefits on our Benefits &amp; Wellbeing Page.

EEO/Non-Discrimination Commitment Statement
Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes.
Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's non-discrimination policy. Harvard's equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.</div></div></div>

Sr. Applied AI Engineer, Generative AI Applications, HBS Foundry

<div></div><div><div><div><div><div><div>November 26, 2025
</div></div><div><div><div>001890SR</div></div></div></div></div></div></div>
 <div><div><div>Company Description 
By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive.
Why join HBS Foundry?
HBS Foundry is a new initiative at Harvard Business School that helps founders build, fund, and launch their ventures through an AI-driven digital learning platform. We&rsquo;re a small, collaborative team within one of the world&rsquo;s most respected institutions&mdash;combining the energy of a startup with the mission and reach of Harvard. Foundry brings together educators, engineers, and creative thinkers who are passionate about innovation, learning, and impact. Together, we&rsquo;re developing tools and experiences that empower founders to grow their ventures and their confidence. It&rsquo;s an exciting, fast-moving environment where new ideas matter and every team member has the opportunity to shape what comes next. 
Job Description 
Job Summary:
Lead comprehensive applications/web development for highly complex projects; typically work as part of a team to implement complex business solutions. Deliver strategic and expert coding; focus on overarching development strategy for a large, complex, multi-faceted application. May manage a number of projects simultaneously. 
Job-Specific Responsibilities:<ul><li>
Build trust and collaboration by being present on-site and engaging directly with colleagues and various constituents.</li><li>
Architect, build, maintain, and improve new and existing suite of GenAI applications and their underlying systems.</li><li>
Automate machine learning pipelines, monitor performance and costs, and optimize models by using techniques such as LoRA/QLoRA.</li><li>
Establish reusable frameworks to streamline model building, deployment and monitoring. Incorporate comprehensive monitoring, logging, tracing, and alerting mechanisms.</li><li>
Build guardrails, compliance rules and oversight workflows into the GenAI application platform, such as establishing approval chains for model updates and staged rollout for production releases</li><li>
Develop templates, guides and sandbox environments for easy onboarding of new contributors and experimentation with new techniques</li><li>
Ensure development of user-facing applications in the GenAI application platform is easy and safe by enforcing rigorous validation testing before publishing user-generated models and implement a clear peer review process of applications</li><li>
Use your entrepreneurial spirit to identify new opportunities to optimize business processes, improve consumer experiences, and prototype solutions to demonstrate value.</li><li>
Work closely with data scientists and analysts to create and deploy new product features online and in mobile apps.</li><li>
Contribute to and promote good software engineering practices across the team.</li><li>
Mentor and educate team members to adopt best practices in writing and maintaining production machine learning code.</li><li>
Actively contribute to and re-use community best practices.</li><li>
Monitor, debug, track, and resolve production issues.</li></ul><ul><li>
Work with project managers to ensure that projects proceed on time and on budget.</li><li>
Collaborate with Technical Product Managers to ensure proper tracking of algorithmic performance KPIs and prioritize performance improvements based on effort and impact.</li><li>
Complete other responsibilities as assigned.</li></ul> 
Qualifications 
Basic Qualifications:
<ul><li>Minimum of seven years&rsquo; post-secondary education or relevant work experience</li></ul>
Additional Qualifications and Skills:
<ul><li>Bachelor's degree in mathematics, physics, computer science, engineering, statistics, or an equivalent technical discipline desired</li><li>
Minimum of five years&rsquo; software development experience with Python and SQL.</li><li>
Minimum of three years&rsquo; experience building pipelines to deploy NLP and deep learning models into production in a cloud environment</li><li>
Minimum three years&rsquo; experience using PyTorch, Tensorflow, or MXNet, along with optimizing code for GPU clusters</li><li>
Experience building advanced workflows such as retrieval augmented generation, model chaining, dynamic prompting, PEFT/SFT, etc. using Langchain and similar tools</li><li>
Experience establishing model guardrails and developing bias detection and mitigation techniques for AI applications using tools such as NeMo</li><li>
Experience with various embedding models and setting up and tuning vector databases to improve performance of semantic search and retrieval systems</li><li>
Understand the underlying fundamentals such as Transformers, Self-Attention mechanisms that form the theoretical foundation of LLMs</li><li>
Experience working with a variety of relational SQL and NoSQL databases, big data tools: Hadoop, Spark, Kafka; a Linux environment; and at least one cloud provider solution (AWS, GCP, Azure).</li><li>
Knowledge of data pipeline and workflow management tools.</li><li>
Expertise in standard software engineering methodology, e.g., unit testing, test automation, continuous integration, code reviews, design documentation.</li></ul> 
Additional Information<ul><li> 
Appointment End Date: This position is approved as a term appointment with an end date of June 30, 2027. There is a possibility of renewal/extension.</li><li>
Standard Hours/Schedule: 40 hours per week</li><li>
Visa Sponsorship Information: Harvard University is unable to provide visa sponsorship for this position</li><li>
Pre-Employment Screening: Identity, Education, Criminal</li><li>
Other Information:<ul><li>
This is a hybrid position which we consider to be a combination of remote and onsite work at our Boston, MA based campus. HBS expects all staff to be onsite a minimum of 3 days per week and departments provide onsite coverage Monday &ndash; Friday. Specific hours and days onsite will be determined by business needs and are subject to change with appropriate advanced notice.</li><li>
We may conduct candidate interviews virtually (phone and/or via Zoom) and/or in-person for this role</li><li>
As part of our evaluation, candidates are required to complete a Take Home Assignment after clearing Technical Recruiter Screen. This assignment will test your specific skills/knowledge areas relevant to the role.</li><li>
A cover letter is required to be considered for this opportunity</li></ul></li></ul><div></div>
Work Format Details
This position has been determined by school or unit leaders that some of the duties and responsibilities can be effectively performed at a non-Harvard location. The work schedule and location will be set by the department at its discretion and based upon operational needs. When not working at a Harvard or Harvard-designated location, employees in hybrid positions must work in a Harvard registered state in compliance with the University&rsquo;s Policy on Employment Outside of Massachusetts. Additional details will be discussed during the interview process. Certain visa types and funding sources may limit work location. Individuals must meet work location sponsorship requirements prior to employment.

Salary Grade and Ranges
This position is salary grade level 059. Please visit Harvard's Salary Ranges to view the corresponding salary range and related information.

Benefits
Harvard offers a comprehensive benefits package that is designed to support a healthy work-life balance and your physical, mental and financial wellbeing. Because here, you are what matters. Our benefits include, but are not limited to:<ul><li>
Generous paid time off including parental leave</li><li>
Medical, dental, and vision health insurance coverage starting on day one</li><li>
Retirement plans with university contributions</li><li>
Wellbeing and mental health resources</li><li>
Support for families and caregivers</li><li>
Professional development opportunities including tuition assistance and reimbursement</li><li>
Commuter benefits, discounts and campus perks</li></ul>
Learn more about these and additional benefits on our Benefits &amp; Wellbeing Page.

EEO/Non-Discrimination Commitment Statement
Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard's academic purposes.
Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university's non-discrimination policy. Harvard's equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.</div></div></div>

Senior Machine Learning Engineer, Generative AI Products, HBS Foundry

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