Forward Science Technologies Jobs in Usa

Hiring: Java Software Engineer

Location: Rensselaer Area, NY (Hybrid – 2–3 days onsite)

Employment Type: Contract

Status: Actively Hiring

We are looking for a Java Application Developer to join a dynamic team working on large-scale enterprise systems. This role focuses on backend development, API integration, and database-driven applications.

Key Responsibilities:

• Develop and enhance applications using Core Java, J2EE, and Spring Framework

• Design and optimize SQL queries for performance and reporting needs

• Build and maintain RESTful Web Services / APIs

• Perform unit testing using JUnit and follow standard build processes

• Troubleshoot and resolve issues in enterprise-level applications

• Collaborate with cross-functional teams to deliver scalable solutions

Required Qualifications:

• 2–4 years of hands-on experience with Java technologies (Core Java, J2EE, Spring)

• Strong experience with SQL queries (basic to complex)

• Exposure to large-scale or enterprise application environments

• Familiarity with build tools and unit testing (JUnit)

• Bachelor’s degree in Computer Science, MIS, or related field (or equivalent experience)

• Good problem-solving and communication skills

WHO WE ARE

Whether in your home, office or out in your community, the walls that surround you must be safe, structurally sound, and sustainable. It’s our job to make that happen.

We were created by act of Congress in 1974 to be the nation’s authoritative source of findings and recommendations that impact and improve the built environment for the American people. At the National Institute of Building Sciences (NIBS), we connect research, policy, and practical application to advance innovation in the built environment. Our mission is to create a safer, more resilient, and technologically advanced infrastructure that serves American communities and strengthens our nation’s future.

Building American Innovation isn’t just our tagline - it’s our commitment. We foster collaboration between government, industry, and academia to drive forward-thinking strategies for resilient communities. Because at NIBS, we don’t just build structures, we build solutions.

SUMMARY

We are looking for a proactive Senior Associate, Building Science Knowledge Systems, who will support and help manage projects that strengthen the National Institute of Building Sciences (NIBS) ability to assemble, store, and disseminate codes, standards, performance criteria, and best practices in the built environment. Our goal is to make knowledge easier to access and understand so that buildings are safer, more efficient, and more innovative. This role will own defined project workstreams and support multi-stakeholder projects to ensure alignment with client goals, scope, schedule, budget, and quality standards. The Senior Associate will coordinate with internal team members and subcontractors, contribute to clear communication and reporting, and help ensure effective knowledge transfer across the organization.

ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned.

• Support planning, execution, monitoring, and closeout of assigned projects and workstreams with emphasis on building technology and innovation.
• Draft and maintain project workplans and schedules for assigned projects and workstreams.
• Support defining and documenting project scope, deliverables, KPIs, and success criteria; maintain trackers and dashboards for performance reporting.
• Support budget, schedule, and resource management for assigned projects; assist with Estimate to Complete (ETC), forecasting, and status reporting; flag variances and recommend corrective actions.
• Identify, track, and help mitigate tasks, project risks, and client relationship risks; escalate issues as needed.
• Support quality assurance activities to help ensure deliverables meet client expectations and internal standards.
• Coordinate day-to-day activities across cross-functional teams including architects, engineers, researchers, IT specialists, and subcontractors.
• Support client communications by preparing meeting materials, notes, and regular status updates; participate in client calls as needed.
• Support knowledge management practices: maintain project files, ensure accessibility of content, capture lessons learned, and contribute to continuous improvement.
• Support stakeholder engagement activities such as workshops, webinars, and technical meetings, including logistics, agendas, and follow-up.
• Monitor industry trends in digital codes & standards and AEC innovative solutions; share relevant insights and help apply best practices to project delivery.
• Surface resourcing, skill, and process gaps that may affect delivery and share recommendations with the project lead and senior leaders.
• Contribute to continuous improvement efforts by suggesting repeatable approaches, templates, and knowledge management practices; support change management activities as needed.
• Adhere to and support compliance with organizational standards, federal contracting norms, and relevant industry regulations.
• Self-manage workloads and proactively coordinate with supervisor and project lead on priorities, risks, and capacity.
• Support business development by contributing to proposal inputs, capturing client needs, and identifying organic growth opportunities through project-based relationships.
• Contribute to NIBS external presence by supporting presentations, drafting technical content, and participating in industry forums as appropriate.

SECURITY CLEARANCE

A security clearance is not required, however ability to be granted or to obtain at a minimum, an interim Secret security clearance during employment and then obtain and maintain a Secret security clearance throughout the period of employment, is strongly preferred.

SUPERVISORY RESPONSIBILITIES

This position does not have direct report responsibilities. The Senior Associate may provide task-level guidance to internal team members and contracted staff within assigned workstreams.

QUALIFICATIONS

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions.

EDUCATION AND/OR EXPERIENCE

The ideal candidate will possess a Bachelors degree in a STEM field, project management, or construction management, though a combination of equivalent education and professional experience will be considered. The position requires 1-3+ years of experience leading, supporting, or coordinating projects, with a preference for experience within the built environment. The successful candidate will demonstrate the ability to manage defined workstreams, track scope/schedule/budget inputs, and produce high-quality deliverables with appropriate guidance. Experience supporting federal government contracting and reporting requirements is preferred.

TECHNICAL AND OTHER SPECIALIZED SKILLS AND ABILITIES:

• Proficiency of project management methodologies (PMI, Agile, or equivalent).
• Proficiency with project management software, MS Office Suite, and project collaboration tools (e.g., SharePoint, Power BI).
• Conceptual understanding or better in processes, tools, and data standards required to deploy Artificial Intelligence for the built environment and blockchain for the built environment.
• Ability to digest client needs into actionable steps, document steps, update schedules, and coordinate and direct team members and subcontractors in completing work.
• Excellent written, verbal, and graphical communication skills.
• Strong collaboration, facilitation, and stakeholder management skills.
• Ability to thrive in a dynamic, collaborative, and fast-paced environment.

PHYSICAL DEMANDS

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the employee is regularly required to sit; use hands to finger, handle, or feel; and reach with hands and arms. The employee is required to walk and talk or hear. The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, color vision, and depth perception.

WORK ENVIRONMENT

NIBS is primarily a remote work environment. Position specific business needs will determine when individuals need to work in the office or on-site at a third party. For example, meetings with external and internal stakeholders can necessitate coming to the office. Staff can voluntarily choose to work in the office at any time. The physical demand of NIBS positions is typical of those in an office environment. Positions require frequent use of a computer to communicate both orally and in writing.

Estimated amount of travel, not including periodic trips to the office, is 5-10%.

BENEFITS

• NIBS offers a competitive salary and benefits package including fully paid health care premiums for medical, dental, and vision.
• Opportunity to work at the intersection of industry, government, and academia.
• Work alongside some of the most respected experts in the building sciences and technology fields, gaining insight into best practices across industry and government.
• Professional development and training opportunities.

HOW TO APPLY

If you feel you are a great fit for this role, please send your resume, cover letter, and salary requirement to today!

WHO WE ARE

Whether in your home, office or out in your community, the walls that surround you must be safe, structurally sound, and sustainable. It’s our job to make that happen.

We were created by act of Congress in 1974 to be the nation’s authoritative source of findings and recommendations that impact and improve the built environment for the American people. At the National Institute of Building Sciences (NIBS), we connect research, policy, and practical application to advance innovation in the built environment. Our mission is to create a safer, more resilient, and technologically advanced infrastructure that serves American communities and strengthens our nation’s future.

Building American Innovation isn’t just our tagline - it’s our commitment. We foster collaboration between government, industry, and academia to drive forward-thinking strategies for resilient communities. Because at NIBS, we don’t just build structures, we build solutions.

SUMMARY

We are looking for a visionary Project Manager of Building Science Knowledge systems who will manage projects that support the National Institute of Building Sciences (NIBS) ability to assemble, store, and disseminate codes, standards, performance criteria, and best practices in the built environment. Our goal is to make knowledge easier to access and understand so that buildings are safer, more efficient, and more innovative. This role will oversee multi-stakeholder projects ensuring alignment with client goals, scope, schedule, budget, and quality standards. The Project Manager will manage project team members, manage subcontractors, and ensure effective communication and knowledge transfer across the organization.

ESSENTIAL DUTIES AND RESPONSIBILITIES includes the following. Other duties may be assigned.

• Lead planning, execution, monitoring, and closeout of assigned projects with emphasis on building technology and innovation.
• Generate project workplans for assigned projects.
• Support defining and documenting project scope, deliverables, KPIs, and success criteria; implement control mechanisms for performance tracking.
• Manage project budgets, schedules, and resources; Estimate to Complete (ETC), forecasting, and margin. Make recommendations for actions necessary to meet targets.
• Proactively identify, track, and mitigate tasks, project, and client relationship risks.
• Establish and enforce quality management frameworks, ensuring deliverables meet or exceed client expectations.
• Coordinate cross-functional teams including architects, engineers, researchers, IT specialists, and subcontractors.
• Serve as primary client liaison, maintaining professional communication and transparent reporting.
• Oversee knowledge management practices: maintain project files, ensure accessibility of content, capture lessons learned, and contribute to continuous improvement.
• Guide stakeholder engagement activities such as workshops, webinars, and technical meetings.
• Monitor industry trends in digital codes & standards, AEC innovative solutions and integrate best practices into project delivery.
• Inform senior leaders of gaps in skills needed for project delivery.
• Promote a culture of continuous improvement, recommending ways to establish systematic continuous improvement as able, knowledge management plans, and change management plans as needed to support successful delivery of assigned projects.
• Ensure compliance with organizational standards, federal contracting norms, and relevant industry regulations.
• Self-manage workloads and proactively coordinate with supervisor on concerns related to workload.
• Support business development; identifying organic growth opportunities through project-based relationships.
• Demonstrate thought leadership and professional eminence by representing NIBS externally.

SECURITY CLEARANCE

A security clearance is not required, however ability to be granted or to obtain at a minimum, an interim Secret security clearance during employment and then obtain and maintain a Secret security clearance throughout the period of employment, is strongly preferred.

SUPERVISORY RESPONSIBILITIES

This position will have supervisory and direct report responsibilities. This position will also have responsibility for oversight of contracted staff.

QUALIFICATIONS

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions.

EDUCATION AND/OR EXPERIENCE

The ideal candidate will possess a Bachelor’s degree in a STEAM field, project management, or construction management, though a combination of equivalent education and professional experience will be considered. The position requires 2 or more years of project management experience, with a preference for those who have managed projects specifically within the built environment. A proven track record of successfully overseeing project scope, schedule, budget, quality, and risk for high-profile initiatives is essential. Additionally, experience navigating federal government contracting and reporting requirements is highly preferred.

TECHNICAL AND OTHER SPECIALIZED SKILLS AND ABILITIES:

• Proficiency of project management methodologies (PMI, Agile, or equivalent).
• Proficiency with project management software, MS Office Suite, and project collaboration tools (e.g., SharePoint, Power BI).
• Conceptual understanding or better in processes, tools, and data standards required to deploy Artificial Intelligence for the built environment and blockchain for the built environment.
• Ability to digest client needs into actionable steps, document steps, update schedules, and coordinate and direct team members and subcontractors in completing work.
• Excellent written, verbal, and graphical communication skills.
• Strong leadership, facilitation, and negotiation skills.
• Ability to thrive in a dynamic, collaborative, and fast-paced environment.

PHYSICAL DEMANDS

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the employee is regularly required to sit; use hands to finger, handle, or feel; and reach with hands and arms. The employee is required to walk and talk or hear. The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, color vision, and depth perception.

WORK ENVIRONMENT

NIBS is primarily a remote work environment. Position specific business needs will determine when individuals need to work in the office or on-site at a third party. For example, meetings with external and internal stakeholders can necessitate coming to the office. Staff can voluntarily choose to work in the office at any time. The physical demand of NIBS positions is typical of those in an office environment. Positions require frequent use of a computer to communicate both orally and in writing.

Estimated amount of travel, not including periodic trips to the office, is 5%.

BENEFITS

• Opportunity to work at the intersection of industry, government, and academia.
• Work alongside some of the most respected experts in the building sciences and technology fields, gaining insight into best practices across industry and government.
• Professional development and training opportunities.
• NIBS offers a competitive salary and benefits package including fully paid health care premiums for medical, dental, and vision.

HOW TO APPLY

If you feel you are a great fit for this role, please send your resume, cover letter, and salary requirement to today!

Open date: August 7, 2025

Most recent review date: Tuesday, Mar 3, 2026 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Friday, Aug 7, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

Berkeley Law is generating an applicant pool of qualified instructors should openings arise.

Berkeley Law is one of the premier law schools in the United States. Our programs are demanding, engaging, hands-on, and selective. As with all our faculty, we expect our lecturers to demonstrate a strong commitment to academic rigor and intellectual diversity.

Berkeley Law strives to educate responsible, effective, and forward-thinking advocates who serve the public through legal practice, public policy, academic scholarship, and related fields. In doing so, the school addresses some of society's most pressing challenges by leveraging its strengths in teaching and research to improve law, policy, and public institutions. At the heart of Berkeley Law's public mission is a commitment to access, affordability, and empowering students from all backgrounds to pursue impactful careers across a wide range of professional paths.

The J.D. and LL.M. programs host a diverse and constantly evolving curriculum. Hundreds of courses are offered, including dozens in our top-ranked Law and Technology, Business Law, International Law, Environmental Law, and Social Justice programs.

This pool encompasses courses on intellectual property law, copyright, patent and patent litigation, trademark, trade secret, regulated digital industries, privacy, cybersecurity, computer programming, biotechnology and life sciences innovation law, computer law, videogame law, art and cultural property, entertainment law, computer crime law, wine and alcoholic beverages law, Artificial Intelligence and the law, law governing use of Name, Image & Likeness, and other major and emerging practice areas in law and technology.

Instructors for lecture courses are appointed in the Lecturer title; instructors for experiential center courses are appointed to the Field Work Supervisor title. The applicant selected will have important teaching responsibilities, including preparing course materials (such as the syllabus) and maintaining a course website, and will also be expected to hold office hours, assess and offer feedback on student work, assign grades, and advise students.

UC Lecturers and Field Work Supervisors are academic appointees in an organized bargaining unit and are exclusively represented by the American Federation of Teachers - Unit 18.

* Bachelor's degree, or equivalent international degree, is required at the time of application.

* J.D., Ph.D., M.B.A., LL.M. or Master's degree, or equivalent international degree, and a minimum of three years of professional experience in either legal practice, judicial clerkship, or law school teaching, in the United States, or

* Bachelor's degree and a minimum of six years professional experience in either legal practice, judicial clerkship, or law school teaching, in the United States.

* Availability to teach in-person during required law school class times.

* Experience teaching courses in a United States law school, with outstanding student valuations; and/or

* Five or more years of legal practice experience in the United States or another jurisdiction, in the area of law and technology.

Teaching evaluations and/or other materials or information may be requested of top candidates.

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Teaching Statement - Please address the following questions related to your potential teaching at Berkeley Law. Please limit your response to 300 words.

  
  
  

  -- Please discuss your competencies and experiences relevant to successful instruction for law school courses, including your prior law teaching experiences, teaching approach, and future teaching interests. This can include, for example, specific efforts, accomplishments, and future plans to support the success of all students through inclusive curriculum, classroom environment, and pedagogy. We also welcome information about other aspects of your professional experience as it is specifically relevant to teaching at Berkeley Law.

  
  

• 2 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

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• Lead, mentor, and develop a team of data scientists, fostering a collaborative and high-performing environment
• Oversee the full data science lifecycle, including problem definition, data exploration, model development, validation, and production deployment
• Design and guide the development of machine learning and statistical models that drive business value
• Translate complex business requirements into scalable, data-driven solutions
• Partner closely with Product, Engineering, and business stakeholders to align on priorities and deliver impactful outcomes
• Establish and promote best practices in data science, machine learning, and model lifecycle management
• Communicate technical concepts and insights effectively to non-technical audiences
• Contribute to strategic planning and roadmap development for data and AI initiatives

• Bachelor's degree in Computer Science, Data Science, Engineering, or related field (or equivalent experience)
• 8+ years of experience in data science, analytics, or machine learning development
• 5+ years of experience managing or leading data science or analytics teams
• Strong hands-on experience building and deploying production-grade machine learning models
• Experience working within Agile or modern software development environments
• Deep understanding of machine learning methodologies, statistical modeling, and data architecture
• Proven ability to collaborate cross-functionally and influence stakeholders

• Experience working with healthcare data or healthcare technology platforms
• Experience building or scaling a data science or AI team
• Advanced degree (Master's or PhD) in a related field
• Experience driving AI/ML initiatives that support decision-making or recommendation systems

• This is a remote position (US-based candidates only)
  

Fractal is a strategic AI partner to Fortune 500 companies, with a bold vision: to power every human decision in the enterprise. We believe the future belongs to organizations that combine human imagination with intelligent systems—and Fractalites are the ones building that future. As we scale our Technology, Media & Telecom (TMT) practice in the United States, we are looking for a senior, client-facing Head of Engineering to shape and deliver world-class Data & AI platforms for leading Technology, Media & Telecom organizations.

This is not a back-office engineering role. This is a consulting-led, client-facing engineering leadership position for someone who is equally comfortable whiteboarding architecture with principal engineers, rolling up their sleeves with delivery teams, and advising CIOs, CTOs, and CDOs in the boardroom.

Learn more at Fractal | Intelligence for Imagination.

Note: This position is not eligible for Immigration Sponsorship at this time.

About the Role

This is a four-axis leadership role requiring technical depth, executive presence, team leadership, and embedded delivery. You'll work directly with top technical and functional leaders at some of the largest TMT companies in the world.

As Head of Engineering for Fractal's Technology, Media & Telecom (TMT) vertical, you will personally shape the architecture of mission-critical AIML platforms, often in first-party tech stack, and develop/drive the team of ICs who bring them to life.

Responsibilities

Some engagements will look like a traditional advisory model. Others will look a lot more like Forward Deployed Engineering: your team embedded inside a client's engineering org, working within their first-party tech stack, shipping production code alongside their engineers, and earning influence through technical credibility, not org chart position.

You will need to be in the room when the technology roadmap needs to change. When a business pivot, a new regulation, or a technology shift forces a rethink mid-execution, you are the person who picks up the marker, walks to the whiteboard, and redraws the architecture in real time, credibly, for the CTO, and Principal Engineering leaders simultaneously.

Technical Depth (Hands-On Architecture)

• Own AI/Data platform architecture decisions — from Lakehouse design and real-time streaming to MLOps, LLMOps, and AgentOps pipelines in production
• Serve as the technical authority for Fractal's TMT engineering practice — defining standards, reviewing design, and holding the bar on reliability, scalability, and security
• Translate ambiguous business problems into concrete, buildable platform architectures — and stay close enough to execution to know when something is not working
• Drive the industrialization of GenAI: moving clients from proof-of-concept to enterprise-grade, governed, and observable AI systems

Executive Presence & Live Architectural Thinking

• Command the room with senior client leadership — CIOs, CTOs, CDOs, and their direct reports - as a peer, not a vendor
• Whiteboard new architectural directions on the spot: when a business pivot, acquisition, regulatory shift, or technology breakthrough forces a mid-execution rethink, you synthesize it into a credible, buildable path forward live, in the room, without needing a week to prepare a deck
• Translate between two worlds simultaneously: make the architecture legible to a CFO and rigorous enough to satisfy a principal engineer in the same session
• Shape client roadmaps at the strategic level; identifying where the current plan is under-ambitious, over-engineered, or misaligned with emerging AI capabilities, and steering accordingly
• Represent Fractal at the highest level of client relationship

Team Leadership (Building & Driving Senior ICs)

• Develop and lead a high-performing group of individual contributors. principally senior and staff engineers, ML engineers, and data platform engineers
• Create the engineering culture: rigorous delivery standards, architectural thinking, and a bias toward elegant, production-grade solutions over quick fixes
• Build leadership depth within the team, identifying principals who can own programs and grow into broader roles
• Partner across Fractal's global AI and engineering Capability functions to staff programs strategically and raise capability across the TMT practice

Forward-Deployed & Embedded Delivery

• Lead and run FDE-style engagements where your team operates inside the client's engineering environment
• Navigate and deliver within client-owned, first-party technology stacks: proprietary data platforms, internal ML infrastructure, custom orchestration systems, and bespoke toolchains that do not appear in any industry survey
• Adapt quickly to non-standard environments, understanding a client's internal platform deeply enough to extend it, integrate into it, and earn the trust of their engineering staff
• Balance the tension between what Fractal does best and what the client's stack demands, knowing when to bring pattern, when to adapt, and when to advocate for a better path
• Set the standards for how Fractal operates in deeply embedded engagements: how we onboard, document, transfer knowledge, and leave clients stronger than we found them

Candidate Profile

Technical Qualifications

TMT clients bring genuinely hard problems on both open and proprietary infrastructure. Expect to architect and oversee:

• GenAI systems: RAG architectures, LLM fine-tuning pipelines, agentic workflow orchestration, and LLMOps observability
• AI-powered products: personalization engines, churn prediction, content recommendation, and network fault detection
• Client-proprietary ML infrastructure: internal feature stores, custom model serving layers, bespoke experiment tracking systems, and first-party orchestration frameworks
• Cloud-native infrastructure across AWS, Azure, and GCP with enterprise-grade governance, security, and compliance baked in
• Real-time and event driven data pipelines (e.g. network telemetry)
• Modern Lakehouse platforms (Databricks, Snowflake, Delta Lake, Iceberg) at petabyte scale and proprietary data platform equivalents at leading tech-forward TMT organizations

Non-technical Qualifications

We are particularly interested in leaders from environments where engineering rigor, client accountability, executive presence, and AI depth all coexist including Forward Deployed Engineering, elite data/ML platform teams, and senior hyperscaler architecture practices.

• 15–20 years of experience spanning AI/data engineering and technical leadership with clear evidence of owning architecture at scale
• Deep hands-on experience deploying AI/ML/GenAI systems in production, in addition to advising on them
• Demonstrated executive presence: you have walked into a CTO or CDO review, redrawn the architecture based on new constraints, and left the room with alignment
• The ability to whiteboard fluently under pressure, synthesizing a team's in-flight work with a new business direction, making it rigorous enough for engineers and clear enough for executives, on the spot and without a rehearsal
• Experience operating within client-owned or non-standard technology stacks - you have learned a proprietary system, earned trust from skeptical internal engineers, and delivered production-grade results inside someone else's infrastructure
• A track record of leading senior engineers and building high-performance ML/engineering teams, including hiring, coaching, and developing principal-level ICs
• Direct executive engagement experience - you have influenced CIO/CTO/CDO decisions and can hold your own in a room with technical and non-technical stakeholders at once
• Strong cloud-native fluency across one or more hyperscalers, with genuine depth in data platform patterns (streaming, batch, Lakehouse, governance)

Strong Preferences

• Experience in TMT vertical — hi-tech, telco, media platforms, streaming infrastructure, ad tech, or content delivery at scale
• Prior work in FDE-style or embedded delivery models where your team shipped inside a client codebase and was evaluated by their engineering standards, not just deliverable milestones
• Comfort with the ambiguity of 1P stack environments: you have debugged undocumented internal tools, extended proprietary frameworks, and figured out how to make external expertise land inside a closed ecosystem
• A personal reputation for architectural clarity: the person colleagues call when a problem needs to be drawn, not just describe
• Contributions to the ML/AI community: open source, publications, conference talks, or influential architectural patterns

Who Thrives Here

The Fractalite mindset is curious, rigorous, and impact driven. You will thrive in this role if you:

• Enjoy being client-facing and accountable for outcomes.
• Are comfortable navigating ambiguity, scale, and complex stakeholder environments.
• Believe great platforms come from strong engineering culture plus disciplined execution.
• See AI not as a novelty, but as a core enterprise capability that must be engineered responsibly.

Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Locations: Boston | Chicago | Pittsburgh | New York | Brooklyn | Miami | Dallas | San Francisco | Seattle | Los Angeles | Manhattan Beach | Washington

Who We Are

Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.

To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.

We Are BCG X

We’re a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world’s most complex problems. Leveraging BCG’s global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions.

What You'll Do

About the AISI Fellowship 

The Boston Consulting Group’s AI Science Institute (AISI) is launching a postdoctoral fellowship program designed to empower the next generation of applied science leaders. This elite, industry-adjacent program offers PhDs and early-career scientists the opportunity to work on some of the world’s most complex and high-impact scientific problems using cutting-edge AI, in collaboration with top-tier partners across aerospace, healthcare, energy, and materials science. 

Fellows will operate at the intersection of foundational research, real-world deployment, and strategic impact, helping shape breakthrough workstreams with AISI partners. 

Unlike traditional academic or big-tech postdocs, AISI fellows work on problems where the science, the data, and the deployment context are all partially undefined. Fellows are expected not only to advance models or methods, but to shape problem formulation, data strategy, and downstream impact alongside senior scientists, engineers, and industry leaders. 

What You'll Bring

• Lead or contribute to multi-disciplinary research initiatives that apply machine learning, simulation, optimization, or GenAI to real-world scientific domains.
• Collaborate with BCG X teams and external stakeholders, including scientists, engineers, business leaders, to frame and solve complex technical problems. 
• Author internal and external research outputs, with opportunities to publish in top journals or co-develop IP with partners.
• Design reproducible, scalable workflows that translate state-of-the-art models into practical tools for discovery and experimentation. 
• Serve as a scientific ambassador across AISI projects, bringing rigor, creativity, and a passion for impact.
• Engage directly, as appropriate, with client or partner R&D teams to translate research insights into deployable solutions, with support from senior BCG X leaders. 
• Contribute to AISI priority research themes, which may include (illustrative, non-exhaustive):  
  • AI-accelerated materials discovery and optimization
  • Scientific foundation models (biology, chemistry, climate, or physical systems)
  • Simulation-augmented learning (e.g., physics-informed ML, RL + simulators)
  • Compute-enabling technologies (chip design, process optimization, algorithm–hardware co-design)
  • Quantum algorithms and hybrid classical–quantum workflows 

Who You'll Work With

Program Details

• Duration: 24 months, with possibility of transition into full-time role at BCG X.
• Mentorship: Each fellow will be paired with a senior advisor and a technical/scientific lead from BCG X and a partner institution. 
• Resources: Full access to BCG’s infrastructure, compute resources, research datasets, and partner ecosystems. 
• Compensation: Competitive salary aligned with industry postdoc benchmarks, plus support for publishing, conference travel, and IP generation. Fellows are encouraged to publish in top-tier venues unless constrained by client confidentiality or strategic IP considerations; in such cases, alternative external-facing research outputs (e.g., methods papers, open-source tools, or delayed publications) will be supported. 

What Success Looks Like

By Month 6 

• Leading or co-leading a defined AISI research workstream
• Delivering models, methods, or code integrated into an active project
• Establishing a clear publication and/or IP trajectory identified

By Month 12 

• Producing at least one external-facing research output, such as a paper, preprint, workshop, or open-source contribution. 
• Being recognized internally as a go-to contributor in a priority scientific domain.
• Actively collaborating with at least one external partner or client R&D team.

By Month 24 

• Delivering multiple high-quality research outputs and/or patented IP.
• Establishing a clear path to a permanent role at BCG X or strong placement into a top-tier industry or research position. 

Additional info

Why Join AISI?

•  Work on projects that matter from geospatial intelligence to drug discovery to next-gen material discovery. 
• Collaborate with leading researchers, product builders, and Fortune 500 clients shaping the frontier of AI-assisted scientific discovery.
• Design and explore high-upside ideas that align with your research vision and AISI’s strategic priorities.
• Help build the foundational talent model for AISI as it scales into a global scientific innovation engine.

What This Fellowship Is Not 

• A traditional academic postdoc with a single PI and a narrowly defined research agenda.
• A consulting role focused on slide production or short-term delivery.
• A pure ML engineering role detached from scientific problem-solving. 

How to Apply 

• Submit your Resume/CV and a 1–2 page statement of interest attached to it (research background, domains of interest, and why AISI) 
• Share any relevant links to publications, code, or personal projects 

You must live within a reasonable commuting distance of your home office. As a member of that office, it is expected you will be in the office as directed. This role puts you on an accelerated path of personal and professional growth and development and so, at times, requires extended working hours. Our work often requires travel to client sites.

At BCG, we are committed to offering a comprehensive benefit program that includes everything our employees and their families need to be well and live life to the fullest. We pay the full cost of medical, dental, and vision coverage for employees – and their eligible family members. * That’s zero dollars in premiums taken from employee paychecks. All our plans provide best in class coverage: 

• Zero-dollar ($0) health insurance premiums for BCG employees, spouses, and children 

• Low $10 (USD) copays for trips to the doctor, urgent care visits and prescriptions for generic drugs 

• Dental coverage, including up to $5,000 in orthodontia benefits 

• Vision insurance with coverage for both glasses and contact lenses annually 

• Reimbursement for gym memberships and other fitness activities 

• Fully vested Profit-Sharing Retirement Fund contributions made annually, whether you contribute or not, plus the option for employees to make personal contributions to a 401(k) plan 

• Paid Parental Leave and other family benefits such as elective egg freezing, surrogacy, and adoption reimbursement 

• Generous paid time off including 12 holidays per year, an annual office closure between Christmas and New Years, and 15 vacation days per year (earned at 1.25 days per month) 

• Paid sick time on an as needed basis 

*Employees, spouses, and children are covered at no cost. Employees share in the cost of domestic partner coverage. 

Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.

BCG is an E - Verify Employer. Click here for more information on E-Verify.

*At Securian Financial the internal position title is Data Science Sr Analyst or Data Science Consultant. The title and salary will be determined based on experience and applied skills.*

Summary

As an Operational Support Data Scientist at Securian Financial, you will bridge advanced analytics and day-to-day business operations by designing, deploying, monitoring, and continuously improving AI-driven solutions that support enterprise processes.

This role focuses on supporting reliable, scalable, and explainable AI solutions that enhance operational efficiency, decision support, customer experience, and risk management across Digital, Marketing, Sales, and Servicing functions.

You will operate at the intersection of data science, MLOps, and the business - ensuring models are maintained, enhanced, monitored, and aligned with Securian's Enterprise Data Strategy Vision and Operating Principles.

Responsibilities include but are not limited to:

AI Solution Development & Deployment

• Work with business teams to enhance existing solutions to enhance and optimize existing AI/ML solutions.

• Deploy and manage solutions using cloud-native tools (e.g., AWS SageMaker).

Operational Model Support & Optimization

• Monitor model performance, data drift, and operational KPIs.

• Troubleshoot production issues and continuously enhance and optimize models for performance, stability, and cost efficiency.

• Establish measurement frameworks to quantify operational impact of deployed solutions.

Data Engineering & Analytical Execution

• Transform structured, semi-structured, and unstructured data into actionable features and insights.

• Perform exploratory analysis and visualization to identify operational improvement opportunities.

• Collaborate with engineering teams to productionize data solutions.

Stakeholder Engagement & Explainability

• Partner with cross-functional operational stakeholders to understand business workflows and translate them into AI-enabled solutions.

• Communicate complex AI methodologies and results clearly to technical and non-technical audiences.

• Ensure model transparency, explainability, fairness, and ethical AI application in alignment with enterprise governance standards.

Required Qualifications

• Demonstrated experience developing, deploying, or supporting production AI/ML models in cloud environments.

• Strong proficiency in Python and experience with tools such as AWS SageMaker and GitHub.

• Experience building operationalized data science solutions (not just prototypes).

• Strong understanding of statistical modeling, machine learning algorithms, and model validation techniques.

• Ability to clearly explain technical concepts, model outputs, and operational trade-offs to stakeholders.

• Strong ethical judgment with a commitment to responsible and unbiased AI development.

Preferred Qualifications

• 2+ years of hands-on experience in data science, applied AI, or machine learning.

• Experience supporting AI solutions in operational or production environments.

• Familiarity with MLOps practices, model governance frameworks, and automation tooling.

• Experience working in regulated industries (financial services preferred).

#LI-hybrid **This position will be in a hybrid working arrangement.**

Securian Financial believes in hybrid work as an integral part of our culture. Associates get the benefit of working both virtually and in our offices. If you're in a commutable distance (90 minutes) you'll join us 3 days each week in our offices to collaborate and build relationships. Our policy allows flexibility for the reality of business and personal schedules.

The estimated base pay range for this job is:

Pay may vary depending on job-related factors and individual experience, skills, knowledge, etc. More information on base pay and incentive pay (if applicable) can be discussed with a member of the Securian Financial Talent Acquisition team.

Be you. With us. At Securian Financial, we understand that attracting top talent means offering more than just a job - it means providing a rewarding and fulfilling career. As a valued member of our high-performing team, we want you to connect with your work, your relationships and your community. Enjoy our comprehensive range of benefits designed to enhance your professional growth, well-being and work-life balance, including the advantages listed here:

Paid time off:

• We want you to take time off for what matters most to you. Our PTO program provides flexibility for associates to take meaningful time away from work to relax, recharge and spend time doing what's important to them. And Securian Financial rewards associates for their service by providing additional PTO the longer you stay at Securian.

• Leave programs: Securian's flexible leave programs allow time off from work for parental leave, caregiver leave for family members, bereavement and military leave.

• Holidays: Securian provides nine company paid holidays.

Company-funded pension plan and a 401(k) retirement plan: Share in the success of our company. Securian's 401(k) company contribution is tied to our performance up to 10 percent of eligible earnings, with a target of 5 percent. The amount is based on company results compared to goals related to earnings, sales and service.

Health insurance: From the first day of employment, associates and their eligible family members - including spouses, domestic partners and children - are eligible for medical, dental and vision coverage.

Volunteer time: We know the importance of community. Through company-sponsored events, volunteer paid time off, a dollar-for-dollar matching gift program and more, we encourage you to support organizations important to you.

Associate Resource Groups: Build connections, be yourself and develop meaningful relationships at work through associate-led ARGs. Dedicated groups focus on a variety of interests and affinities, including:

• Mental Wellness and Disability

• Pride at Securian Financial

• Securian Young Professionals Network

• Securian Multicultural Network

• Securian Women and Allies Network

• Servicemember Associate Resource Group

For more information regarding Securian's benefits, please review our Benefits page.

This information is not intended to explain all the provisions of coverage available under these plans. In all cases, the plan document dictates coverage and provisions.

Securian Financial Group, Inc. does not discriminate based on race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, marital or familial status, pregnancy, disability, genetic information, political affiliation, veteran status, status in regard to public assistance or any other protected status. If you are a job seeker with a disability and require an accommodation to apply for one of our jobs, please contact us by email at , by telephone (voice), or 711 (Relay/TTY).

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