data science manager

TRM Labs

<div><h2 class="jobSectionHeader"><b>Build a Safer World.</b></h2><p>
TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM's platforms enable investigators to trace illicit activity, build cases, and construct operating pictures of threat networks. Leading agencies and businesses worldwide rely on TRM to make the world safer and more secure.</p><p>
At TRM Labs, we&rsquo;re on a mission to build the best blockchain intelligence on earth &mdash; and we&rsquo;re looking for a seasoned Data Science Manager to lead the charge on one of our most foundational initiatives: connecting blockchain activity to real-world entities with unmatched precision and scale. This team tackles one of the most challenging and high-impact problems in blockchain analytics &mdash; combining intelligence, data science, and applied machine learning. The role is a unique blend of technical leadership, product strategy, and people management &mdash; perfect for someone who thrives in ambiguity and wants to shape how the world understands what&rsquo;s happening on-chain.</p><p><b>
The impact you will have:</b></p><ul><li><b>Lead and mentor</b> a high-performing data science team operating at the intersection of blockchain, intelligence, and machine learning &mdash; balancing individual execution with strategic vision.</li><li>Drive <b>technical innovation</b> across a diverse stack (e.g., Airflow, BigQuery, Kafka, Python), ensuring our data models and pipelines scale with quality and precision.</li><li>Collaborate cross-functionally with engineering, product, and intelligence teams to transform raw blockchain data into insights that power TRM&rsquo;s products and customer experiences.</li><li>Help make TRM the <b>market leader in blockchain Attribution</b>, setting new standards for accuracy, trust, and usability in blockchain data.</li><li>Recruit, develop, and retain top talent &mdash; and play a critical role in growing the team&rsquo;s technical and product maturity.</li></ul><p><b>
What we&rsquo;re looking for:</b></p><ul><li><b>Technical depth</b>: You&rsquo;ve led data science teams in complex, ambiguous environments, and can operate across the stack &mdash; from debugging DAGs to modeling strategy.</li><li><b>Product sense</b>: You understand customer problems deeply and can shape product direction through data and experimentation.</li><li><b>Hands-on leadership</b>: You&rsquo;re not just a people manager. You stay close to the work, unblock your team, and lead by example.</li><li><b>Curiosity &amp; growth mindset</b>: You&rsquo;re energized by novel problems, seek truth through data, and thrive in fast-paced, scrappy environments.</li><li><b>Strong communicator</b>: You make your thinking legible &mdash; to engineers, PMs, and executives &mdash; and influence through clarity, not volume.</li></ul><p><b>
Minimum qualifications:</b></p><ul><li>4+ years of experience managing data science or ML teams.</li><li>Proven experience with large-scale data systems (e.g., BigQuery, Snowflake).</li><li>Strong programming skills in Python and familiarity with production code practices (git, testing, notebooks).</li><li>Bachelor&rsquo;s degree or higher in a quantitative field (CS, Stats, Physics, Engineering). Advanced degree preferred.</li></ul><p><b>
About the team:</b></p><ul><li>A team of ~8 DSists , fully remote, with regular async and synchronous collaboration.</li><li>High-trust, fast-moving, and relentlessly curious &mdash; we work at the bleeding edge of blockchain intelligence.</li><li>US time zones preferred; at least 6 hours overlap with US Eastern time required.</li><li>On-call responsibilities rotate every ~2 months.</li></ul><p><b>
Examples of TRM Speed in this position</b></p><ul><li><p>
Understands the importance of customer-facing incidents (if and when they occur). Is willing to push the boundaries of a simple work day if an incident arises to ensure the issue is mitigated. e.g. A customer incident starts around 4:45PM on a Thursday. Is able to engage, rally support, and manage resolution of the incident even when it bleeds into non-9-to-5 work time.</p><ul><li><p>
Also understands that incident prevention is <i>squarely</i> in the control and ownership of engineering &amp; DS leadership and correctly prioritizes the type of work to prevent customer incidents. &ldquo;Project Zero&rdquo; - prioritize high-quality, long-term fixes to incident issues.</p></li></ul></li><li><p>
Effectively uses AI and self-driven investigation to understand the capabilities and boundaries of partner team infrastructure.</p><ul><li><p>
The answer to &ldquo;can we display a new type of swap&rdquo; can be answered 100% by a savvy individual with help from AI.</p></li><li><p>
Used AI tools to rapidly solve a UI issue with same-chain-swaps signatures. When testing, we discovered the UI wasn't showing funds flow lines as expected. After initially considering pulling the product feature, or looping in product engineering and product management, I used Codex to identify the exact line of code causing the issue in an unfamiliar codebase. This allowed us to ask a targeted question to the right teams, resulting in a same-day fix.</p></li></ul></li></ul><p></p><p><b>
The following represents the expected range of compensation for this role:</b></p><ul><li><p>
Individual pay is determined by skills, qualifications, experience, and location. The compensation details listed in this posting reflect the US base salary only.</p></li><li><p>
The estimated base salary range for this role is $210,000 - $230,000</p></li><li><p>
Additionally, this role may be eligible to participate in TRM&rsquo;s equity plan.</p></li><li><p>
Please note &ndash; we factor in the different costs for geographies outside the United States.</p></li></ul><h3 class="jobSectionHeader"><b>
Life at TRM</b></h3><p>
We are building a safer world. That promise shows up in how we work every day.</p><p>
TRM moves quickly. We are a high velocity, high ownership team that expects clarity, follow-through, and impact. People who thrive here are energized by hard problems, experimentation, and continuous feedback. If something takes months elsewhere, it will ship here in days.</p><p>
Our work sits at the intersection of AI, national security, and fighting crime. The problems are complex, the stakes are real, and the environment evolves quickly. The pace and intensity of the work reflect the importance of the mission. As a result, the way we operate requires a high level of ownership, adaptability, collaboration, and creative problem-solving.</p><p>
At TRM, you should expect:</p><ul><li><p>
Priorities and targets to change quickly as we experiment and iterate</p></li><li><p>
Work that often requires operating with a high degree of ambiguity</p></li><li><p>
A high level of personal ownership and accountability</p></li><li><p>
Close collaboration across teams and functions</p></li><li><p>
Frequent, high-touch communication</p></li><li><p>
Creative problem solving and out-of-the-box thinking</p></li><li><p>
A pace that rewards urgency, adaptability, and outcomes</p></li></ul><p>
This environment is energizing for people who enjoy building, solving hard problems, and making progress in situations that are not always fully defined. It also requires comfort navigating ambiguity, adjusting course as new information emerges, and maintaining focus and positivity in a fast-moving and intense environment.</p><p>
We also recognize that this style of operating is not for everyone. If you are primarily optimizing for predictability or a consistently balanced workload, we encourage you to use the interview process to pressure test whether this environment is truly the right fit. We want teammates who thrive here, not just survive here.</p><p>
At the same time, many people find this work deeply rewarding. If you are excited by meaningful problems, motivated by ambitious goals, and energized by working alongside mission-driven colleagues, there is a good chance you will find TRM to be an exceptional place to grow and contribute. Learn more: Interviewing at TRM: How We Hire and What Success Looks Like</p><div><br>
</div><h3 class="jobSectionHeader"><b>
AI Fluency at TRM</b></h3><p>
AI fluency is a baseline expectation at TRM.</p><p>
We believe AI meaningfully changes how top performers operate. We expect every team member to use AI to accelerate and reimagine their craft, not just automate surface tasks.</p><p>
At TRM, AI fluency means you are among the top 10 percent of operators in your function in how you apply AI to:</p><ul><li><p>
Accelerate repeatable workflows</p></li><li><p>
Structure and solve problems</p></li><li><p>
Improve output quality</p></li><li><p>
Increase speed and leverage</p></li></ul><p>
You will be evaluated on applied AI fluency during the interview process.</p><p></p><h3 class="jobSectionHeader"><b>
Leadership Principles</b></h3><p>
We hire and grow against three leadership principles. They&rsquo;re the standards for how we operate, treat each other, and make decisions.</p><ul><li><p>
Impact-Oriented Trailblazer: We put customers first and move with speed, focus, and adaptability. We treat every plan like an experiment &ndash; test, ship, measure, and iterate quickly.</p></li><li><p>
Master Craftsperson: We care deeply about our craft. We balance speed with high standards, own outcomes end‑to‑end, and invest in getting better everyday.</p></li><li><p>
Inspiring Colleague: We add clarity and energy, not noise. We bring humility, candor, and a one‑team mindset &mdash; giving and receiving feedback to make the team stronger.</p></li></ul><h3 class="jobSectionHeader"><b>
Join our Mission</b></h3><p>
At TRM we care deeply about our craft. We are looking for individuals who want their work to matter, who experiment with speed and rigor, and who take pride in building a safer world for billions of people. If you&rsquo;re excited by TRM&rsquo;s mission but don&rsquo;t check every box, we encourage you to apply &mdash; we hire for slope, judgment, and the will to learn fast.</p><p>
TRM is a Series C company with $220M in total funding, backed by Blockchain Capital, Goldman Sachs, Bessemer, Y Combinator, Thoma Bravo, and others. Headquartered in San Francisco, TRM operates as a distributed-first company with hubs in Los Angeles, San Francisco, New York, Washington D.C., London, and Singapore.</p><h3 class="jobSectionHeader"><b>
Privacy Policy and Additional Information</b></h3><p>
By submitting your application, you agree to allow TRM Labs to process your personal information in accordance with our Privacy Policy.</p><p>
We collect the information you provide (such as your resume, work history, and contact details) solely for the purpose of evaluating your candidacy for current and future roles at TRM.</p><p>
Because our hiring cycles for certain positions may span 24 to 36 months, we retain your personal information for up to 36 months from the date of your application. After that period, your data is deleted unless a different retention period is required or permitted by law.</p><p>
If you are located in the European Economic Area, the United Kingdom, or another jurisdiction with applicable data protection laws, you have the right to access, correct, or request deletion of your personal data at any time before that period ends. To exercise any of these rights, contact us at privacy@trmlabs.com.</p><p>
To notify TRM Labs that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.</p><p>
The use of AI tools of any kind (including but not limited to notetakers, interview assistants, and real-time coaching tools such as Otter.ai, Fireflies, Fathom, Cluey, or similar) during TRM interviews is not permitted without prior approval from TRM. TRM uses its own internal tools for note-taking to ensure a consistent and confidential experience for all candidates.
</p><p>We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this form.</p><p></p><h3 class="jobSectionHeader"><b>
Recruitment agencies</b></h3><p>
TRM Labs does not accept unsolicited agency resumes. Please do not forward resumes to TRM employees. TRM Labs is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company without a signed agreement.</p><p></p><h3 class="jobSectionHeader"><b>
Learn More</b><b>: </b><b>Company Values</b><b> | </b><b>Interviewing</b><b> | </b><b>FAQs</b></h3></div>

Senior Manager, Data Science

New York City Department of Health and Mental Hygiene

<div></div><div><div><div><div><div><div><h1 class="jobSectionHeader"><b>Director of Applied Data Science and Solutions, Bureau of Data Technology &amp; Strategy
</b></h1></div><div><div><div><div><ul><li>DEPT OF HEALTH/MENTAL HYGIENE</li></ul>
</div></div><div><div><div><p>Posted on</p>
<p>07/27/2026</p>
</div></div></div><div><div><ul><li>Full-time</li></ul>
</div></div><div><div><p>Location</p>
<p>QUEENS</p>
</div></div></div><div><div><div><ul><li>No exam required</li></ul>
</div></div><div><div><div><p>Department</p>
<p>Data Tech &amp; Strategy</p>
</div></div></div><div></div><div>Salary range: $75,000.00 &ndash; $140,000.00
</div></div></div><div><div><p>Save</p>
</div></div></div></div></div></div><div><div><div><h2 class="jobSectionHeader"><b>Job Description</b></h2>
</div><div><div><div>The Center for Population Health Data Science (CPHDS)- launched in October of 2023- aims to catalyze critical data modernization work and enable the agency to make progress toward
<br>
linking public health, healthcare, and social service for timely and effective publication. We are working towards making these data more accessible, timely, equitable, meaningfully usable, and protected &ndash; and actively used to protect and promote the health and wellbeing of New Yorkers. We aim to strengthen agencywide data capabilities by empowering our workforce, enhancing intra- and inter-agency data sharing, and using modern technology to yield trusted and integrated data and insights. A real-time and comprehensive view of city needs is needed to enhance public health actions and improve health outcomes for the most vulnerable New Yorkers. The CPHDS is working to strengthen citywide population health surveillance by better linking public health, healthcare, and social service data to fully characterize and improve the health of New Yorkers. Our vision is for these data to be accessible, timely, equitable, meaningfully usable, and protected in order to protect and promote health and wellbeing of New Yorkers.
<br>
<br>
The Bureau of Data Technology and Strategy (DTS) is dedicated to the development of the Enterprise Data Platform (EDP) and is home to data strategy, data governance, data product management, data engineering, and data science capabilities. The Applied Data Science unit within DTS oversees a number of mission critical agency projects including the Master Patient Index project, the Client Engagement Platform project, the Whole Genome Sequencing project, and various interoperability projects to support Disease surveillance systems. The unit also provides analytical support for ad hoc analyses and admin support for the Enterprise Data Platform.
<br>
<br>
Duties will include but not be limited to:
<br>
<br>
<ul><li>Lead and oversee all aspects of the Master Patient Index project and including the development of service endpoints, integrations with other systems, and building of entity resolution models.
</li><li>Provide management, design, and developer support for interoperability projects underlying critical surveillance systems, whole genome sequencing project, client engagement platform project, and other novel projects that arise.
</li><li>Carry out code reviews with project developers, diagramming sessions with IT, and presentations for stakeholders.
</li><li>Coordinate project work across developers, IT admins, and vendors.
</li><li>Act as lead or supporting sql developer, python developer, or data scientist for any project as directed by leadership.
</li></ul><br>
Preferred Skills:
<br>
<ul><li>8 or more years of Python experience
</li><li>10 or more years of SQL development experience
</li><li>5 or more years of business intelligence experience
</li><li>5 or more years of statistical modeling experience
</li><li>3 or more years of machine learning modeling experience
</li><li>Functional presentation and communication skills
</li></ul><br>
Why you should work for us:
<br>
<br>
<ul><li>Benefits: City employees are entitled to unmatched benefits such as:
</li></ul>o a premium-free health insurance plan that saves employees over $10K annually, per a 2024 assessment.
<br>
o additional health, fitness, and financial benefits may be available based on the position&rsquo;s associated union/benefit fund.
<br>
o a public sector defined benefit pension plan with steady monthly payments in retirement.
<br>
o a tax-deferred savings program and
<br>
o a robust Worksite Wellness Program that offers resources and opportunities to keep you healthy while serving New Yorkers.
<br>
<ul><li>Work From Home Policy: Depending on your position, you may be able to work up to two days during the week from home.
</li></ul>- Job Security - you could enjoy more job security compared to private sector employment and be able to contribute to making NYC a healthy place to live and work.
<br>
<br>
Established in 1805, the New York City Department of Health and Mental Hygiene (NYC Health Department) is the oldest and largest health department in the U.S., dedicated to protecting and improving the health of NYC. Our mission is to safeguard the health of every resident and cultivate a city where everyone, regardless of age, background, or location, can achieve their optimal health. We provide a wide array of programs and services focused on food and nutrition, anti-tobacco support, chronic disease prevention, HIV/AIDS treatment, family and child health, environmental health, mental health, and social justice initiatives. As the primary population health strategist and policy authority for NYC, with a rich history of public health initiatives and scientific advancements, from addressing the 1822 yellow fever outbreak to the COVID-19 pandemic, we serve as a global leader in public health innovation and expertise.
<br>
<br>
Come join us and help to continue our efforts in making a difference in the lives of all New Yorkers!
<br>
<br>
The NYC Health Department is an inclusive equal opportunity employer committed to providing access and reasonable accommodation to all individuals. To request reasonable accommodation to participate in the job application or interview process, contact Sye-Eun Ahn, Director of the Office of Equal Employment Opportunity, at sahn1@health.nyc.gov or 347-396-6549.
<br>
<br>
IT AUTOMATION AND MONITORING E - 95712</div><br>
<br>
<h2 class="jobSectionHeader"><b>Minimum Qualifications</b></h2><br>
<br>
<p>1. A baccalaureate degree in computer science, engineering or a related field from an accredited college and four years of satisfactory full-time experience related to IT automation engineering, monitoring engineering, management of infrastructure; or
<br>
<br>
2. Eight years of satisfactory full-time experience related to IT automation engineering, monitoring engineering, management of infrastructure;
<br>
<br>
3. Education and/or experience which is equivalent to &quot;1&quot; or &quot;2&quot; above.</p><br>
<br>
<h2 class="jobSectionHeader"><b>Public Service Loan Forgiveness</b></h2>
<br>
As a prospective employee of the City of New York, you may be eligible for federal loan forgiveness programs and state repayment assistance programs. For more information, please visit the U.S. Department of Education&rsquo;s website at https://studentaid.gov/pslf/.
<br>
<h2 class="jobSectionHeader"><b>Residency Requirement</b></h2>
<br>
New York City Residency is not required for this position
<br>
<h2 class="jobSectionHeader"><b>Additional Information</b></h2><br>
<br>
<div></div><p>The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.</p>
</div></div><div><div>Apply <p>Save</p>
</div></div></div></div><div><div><div><div><div><div><p>Job ID</p>
<p>788243</p>
</div></div><div><div><div><p>Posted until</p>
<p>09/25/2026</p>
</div></div></div><div><div><div><p>Title code</p>
<p>95712</p>
</div></div></div><div><div><div><p>Civil service title</p>
<p>IT AUTOMATION AND MONITORING E</p>
</div></div></div><div><div><div><p>Title classification</p>
<p>Non-Competitive-5</p>
</div></div></div><div><div><div><p>Business title</p>
<p>Director of Applied Data Science and Solutions, Bureau of Data Technology &amp; Strategy</p>
</div></div></div></div><div><div><div><ul><li>Experience level: Manager</li></ul>
</div></div><div><div><div><p>Job level</p>
<p>00</p>
</div></div></div><div><div><div><p>Number of positions</p>
<p>1</p>
</div></div></div><div><div><div><p>Work location</p>
<p>42-09 28th Street</p>
</div></div></div><div><div><ul><li>Category: Technology, Data &amp; Innovation</li></ul>
</div></div></div></div></div></div><div><div><div><div><p>Director of Applied Data Science and Solutions, Bureau of Data Technology &amp; Strategy</p></div></div></div></div></div><div></div>

Director of Applied Data Science and Solutions, Bureau of Data Technology & Strategy

General Dynamics Information Technology

<p></p><div><div><div><p>Your Impact</p><p>
Own your opportunity to work alongside federal civilian agencies. Make an impact by providing services that help the government ensure the well being and support of U.S. citizens.</p><p>
Job Description</p><div><p>
Own your opportunity to turn data into measurable outcomes for our customers&rsquo; most complex challenges. As a Data Scientist Manager at GDIT, you&rsquo;ll power innovation to drive mission impact and grow your expertise to power your career forward.</p><p><br>
The work you&rsquo;ll do at GDIT will be impactful to the mission of the Centers for Medicare &amp; Medicaid Services quality reporting programs. You will play a crucial role in developing data-driven solutions to complex business challenges, using advanced tools and computational skills to interpret, connect, predict, and make discoveries in data.</p><p></p><p>
MEANINGFUL WORK AND PERSONAL IMPACT:</p><p></p><ul><li>
Contribute to completion of specific programs and projects.</li><li>
Utilize advanced tools (e.g., Python, PySpark, Databricks) and computational skills to interpret, connect, predict, and make discoveries in data.</li><li>
Collaborate with internal and external team members to achieve the mission.</li><li>
Evaluate the effectiveness and accuracy of new data sources and gathering techniques.</li><li>
Use predictive modeling to increase and optimize customer experience, efficiencies, process improvements, and other business outcomes.</li><li>
Optimize jobs performance and resource usage, identifying and addressing bottlenecks and inefficiencies in backend systems</li><li>
Write clean, well-structured, and maintainable code, adhering to established coding standards and best practices.</li><li>
Perform thorough code reviews, providing constructive feedback to peers and identifying potential risks or areas for improvement.</li><li>
Debug and resolve defects, proactively identifying and addressing potential issues before they impact users.</li><li>
Create and maintain comprehensive technical documentation.</li><li>
Actively participate in Agile ceremonies, such as stand-ups, sprint planning, and retrospectives, ensuring effective communication and collaboration across the team.</li><li>
Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.</li><li>
May develop processes and machine learning based tools to monitor and analyze model performance and data accuracy.</li><li>
Manage team of similar disciplines and quality of delivery.</li></ul><p></p><p>
WHAT YOU&rsquo;LL NEED TO SUCCEED:</p><p></p><ul><li>
Education: Bachelor of Science</li><li>
5+ years of experience with CMS Medicare hospital quality measures and reporting initiatives required.</li><li>
Python / Apache Spark, Databricks.</li><li>
Strong understanding of software design patterns, data structures, and algorithms.</li><li>
Experience with Agile development methodologies.</li><li>
Related experience in analytic programming, data extraction, querying databases/data warehouses and data analysis.</li><li>
SAS, R, AWS experience preferred.</li></ul><p></p><p>
GDIT IS YOUR PLACE:</p><p></p><ul><li>
At GDIT, the mission is our purpose, and our people are at the center of everything we do.</li><li>
Growth: AI-powered career tool that identifies career steps and learning opportunities</li><li>
Support: An internal mobility team focused on helping you achieve your career goals</li><li>
Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off</li><li>
Community: Award-winning culture of innovation and a military-friendly workplace</li></ul><p></p><p>
OWN YOUR OPPORTUNITY</p><p><br>
Explore a career in data science and engineering at GDIT and you&rsquo;ll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.</p>
</div></div><div><div><div><p>Work Requirements</p></div></div><div></div><div><div>
Years of Experience<div>
8 + years of related experience</div><ul><li>may vary based on technical training, certification(s), <i>or</i> degree</li></ul></div><div></div><div>
Certification</div><p></p><div>
Travel Required<div>
None</div></div></div></div></div><div><p>
Salary and Benefit Information</p><div>
The likely salary range for this position is $129,813 - $155,250. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.<br>
View information about benefits and our total rewards program.</div><p>
Our Identity Verification Process</p><div>
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.</div><p>
About Our Work</p><div>
We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.</div><div>
Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.</div><div><i>
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans</i></div></div></div>

Data Scientist Manager

ENEC Operations

<div>
 Job Title: Data Science Expert
 <br/>
 <br/>
 Posting Date: 7 Jul 2026
 <br/>
 <br/>
 Requisition ID: 3584
 <br/>
 <br/>
 Location: HQ - Abu Dhabi
 <br/>
 <br/>
 Posting Status: Active Recruitment
 <br/>
 <br/>
 <strong>
  Job Purpose
  <br/>
  <br/>
 </strong>
 The Data Science Expert leads and develops high-performing teams of data scientists and data engineers to deliver advanced analytics, AI, and predictive modeling solutions for ENEC&rsquo;s nuclear operations. This role ensures technical excellence, compliance with nuclear safety standards, and the delivery of actionable insights that optimize plant performance, fuel cycle management, and operational reliability. The Expert acts as a strategic advisor, technical authority, and mentor, driving innovation and embedding analytics into the core of ENEC&rsquo;s mission.
 <br/>
 <br/>
 Key Activities, Responsibility &amp; Accountability
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strategic Leadership:
   <br/>
   <br/>
  </li>
 </ul>
 Drive the data science and analytics strategy for nuclear operations, ensuring alignment with ENEC&rsquo;s safety, reliability, and business objectives.
 <br/>
 <br/>
 <ul>
  <li>
   Technical Excellence:
   <br/>
   <br/>
  </li>
 </ul>
 Oversee the design, development, and deployment of advanced models for reactor performance, fuel cycle optimization, outage prediction, and anomaly detection.
 <br/>
 <br/>
 <ul>
  <li>
   Team Leadership:
   <br/>
   <br/>
  </li>
 </ul>
 Lead, mentor, and develop multidisciplinary teams of data scientists and engineers, fostering a culture of innovation, collaboration, and continuous improvement.
 <br/>
 <br/>
 <ul>
  <li>
   Stakeholder Engagement:
   <br/>
   <br/>
  </li>
 </ul>
 Collaborate with plant, fuel, engineering, and regulatory teams to embed analytics into operational workflows and decision-making.
 <br/>
 <br/>
 <ul>
  <li>
   Governance &amp; Compliance:
   <br/>
   <br/>
  </li>
 </ul>
 Ensure all analytics activities adhere to nuclear safety culture, regulatory requirements, and robust data governance.
 <br/>
 <br/>
 <ul>
  <li>
   Operational Excellence:
   <br/>
   <br/>
  </li>
 </ul>
 Monitor and improve the impact of analytics on plant reliability, fuel efficiency, and business outcomes.
 <br/>
 <br/>
 <ul>
  <li>
   Expert Knowledge Application:
   <br/>
   <br/>
  </li>
 </ul>
 Apply advanced expertise in statistical modeling, machine learning, and AI to develop solutions for complex nuclear analytics challenges, ensuring technical rigor and industry compliance.
 <br/>
 <br/>
 <ul>
  <li>
   Complex Problem Solving:
   <br/>
   <br/>
  </li>
 </ul>
 Lead the resolution of ambiguous and high-impact analytics issues by designing innovative approaches, conducting root cause analysis, and implementing corrective/preventive actions to enhance operational reliability.
 <br/>
 <br/>
 <ul>
  <li>
   Professional Know-How:
   <br/>
   <br/>
  </li>
 </ul>
 Utilize deep technical know-how to architect, validate, and deploy digital twins, predictive maintenance models, and fuel cycle optimization tools, ensuring best practices in MLOps and automation.
 <br/>
 <br/>
 <strong>
  Responsibilities &amp; Accountabilities (contd.)
  <br/>
  <br/>
 </strong>
 Responsibilities and Accountabilities:
 <br/>
 <br/>
 <ul>
  <li>
   Define, communicate, and continuously refine the analytics vision and multi-year roadmap for nuclear operations.
  </li>
  <li>
   Advise executive leadership on leveraging AI and advanced analytics for plant optimization, fuel cycle management, and operational excellence.
  </li>
  <li>
   Lead the development of business cases for analytics investments focused on nuclear plant performance, predictive maintenance, and fuel efficiency.
  </li>
  <li>
   Align analytics initiatives with ENEC&rsquo;s digital transformation, safety culture, and national mission.
  </li>
  <li>
   Monitor industry trends and emerging technologies to ensure ENEC remains at the forefront of nuclear analytics.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Responsibilities And Accountabilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Direct the design, development, and deployment of advanced statistical, machine learning, and AI models for nuclear plant operations, fuel cycle analysis, and safety-critical predictions.
  </li>
  <li>
   Oversee the development and validation of digital twins, predictive maintenance models, and fuel consumption forecasting tools.
  </li>
  <li>
   Ensure all models are validated against nuclear industry standards, regulatory requirements, and plant-specific constraints.
  </li>
  <li>
   Lead the adoption of MLOps best practices for continuous monitoring, retraining, and governance of models deployed in nuclear environments.
  </li>
  <li>
   Drive the adoption of automation, CI/CD pipelines, and advanced monitoring for analytics operations.
  </li>
  <li>
   Lead technical reviews, audits, and assurance activities to maintain high standards of quality, reliability, and compliance.
  </li>
  <li>
   Ensure robust documentation, explainability, and auditability of all models and analytics solutions
   <br/>
   <br/>
  </li>
 </ul>
 Professional Certifications
 <br/>
 <br/>
 Relevant certifications in AI/ML, MLOps, and Data Governance.
 <br/>
 <br/>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 Min - Master&rsquo;s degree in data science, computer science, engineering, or related discipline. Proven experience leading data science teams in regulated environments
 <br/>
 <br/>
 Pref - PhD or equivalent. Experience in nuclear, energy, or highly regulated sectors.
 <br/>
 <br/>
 <strong>
  Experience
  <br/>
  <br/>
 </strong>
 8 years of relevent experience
</div>


Data Science Expert

Teledyne FLIR

<div><p><b>Be visionary</b></p><p></p><p>
Teledyne Technologies Incorporated provides enabling technologies for industrial growth markets that require advanced technology and high reliability. These markets include aerospace and defense, factory automation, air and water quality environmental monitoring, electronics design and development, oceanographic research, deepwater oil and gas exploration and production, medical imaging and pharmaceutical research.
</p><p></p><p>We are looking for individuals who thrive on making an impact and want the excitement of being on a team that wins.</p><p><br>
</p><p><b>Job Description</b></p><p><br>
</p><p><b>Company Overview</b></p><p>
Teledyne Brown Engineering, Inc. is an industry leader in engineered systems and advanced manufacturing. The Company provides full-spectrum systems engineering, integration, manufacturing, and lifecycle sustainment solutions to the marine, aviation, aerospace, defense, energy, and environment markets. Teledyne Brown has expertise in systems integration, technology development, hardware design, prototype development, system test and evaluation, advanced manufacturing, performance-based logistics solutions, and operations and maintenance.</p><p></p><p><b>
Position Background and Scop</b>e</p><p>
Teledyne Brown Engineering has provided software engineering, modeling and simulation, and advanced analytics in support of DoD operational readiness since 2001.</p><p></p><p>
We are seeking a Senior Data Scientist to join our Advanced Analytics team whose mission is to provide insights and solve problems in support of DoD missions and force readiness.</p><p></p><p>
This team provides custom analytic findings and develops, maintains, and delivers decision support capability tools for DoD customers to include administrators and planners at Echelons I, II, and III. The primary objective of the role is to work directly with our customers to identify requirements, develop decision support tools, and support the customer community in their use of the tools.</p><p>
Teledyne combines global diversity and presence with local flexibility and autonomy. Our teams are committed to shared core values: trust, transparency, and accountability within a high-performance culture. Our employees are encouraged and empowered to do their best to exceed the expectations of our customers.</p><p><b><br>
Position Summary</b></p><p>
Teledyne is seeking a Senior Data Scientist to lead advanced analytics efforts supporting Department of Defense healthcare and readiness initiatives. The candidate will work with internal subject matter experts, data scientists, Power Platform developers, UX/UI designers, and data engineers to identify opportunities and to execute and maintain projects of executive interest.</p><p>
The candidate will work with internal and external (Government) leadership, managers, and technical staff across DoD organizations and develop technical solutions for complex business and operational problems. The candidate will participate in the planning and development of data products, dashboards, predictive models, and decision support tools that enable data-driven decision-making at senior leadership levels.</p><p></p><p>
This is a hybrid remote work position while residing within commuting distance of Falls Church, VA to support occasional in-person meetings. Position will require occasional travel in support of customer requirements.</p><p></p><p><b>
Position Responsibilities</b></p><ul><li><p>
Work closely with customers, managers, and technical teams to define program scope, goals, and deliverables</p></li><li><p>
Lead and manage a team of data scientists and analysts to develop long-term analytic products</p></li><li><p>
Direct and execute advanced analytics, including predictive modeling, statistical analysis, and machine learning</p></li><li><p>
Develop interactive dashboards and Power Platform applications (Power BI, Power Apps, Power Automate) to deliver actionable insights and decision support capabilities</p></li><li><p>
Respond to ad hoc requests for rapid analysis to support operational and strategic decisions</p></li><li><p>
Prepare and present briefings, reports, and visualizations for senior leaders and stakeholders</p></li><li><p>
Provide leadership for multi-disciplinary teams in a collaborative environment</p></li><li><p>
Collaborate with other team leads that are geographically dispersed to align and share resources when needed</p></li><li><p>
Author and review technical documentation to ensure quality and accuracy</p></li><li><p>
Drive continuous improvement of analytic methodologies, tools, and workflows</p></li></ul><p></p><p><b>
Qualifications</b></p><ul><li><p>
Strong experience applying data science, statistics, and operations research techniques</p></li><li><p>
Proficiency in programming languages such as Python, R, SQL</p></li><li><p>
Experience developing data visualizations and dashboards</p></li><li><p>
Experience leading analytic projects and mentoring team members</p></li><li><p>
Familiarity with cloud environments (AWS, Azure)</p></li><li><p>
Experience working with DoD or Military Health System data preferred</p></li></ul><p></p><p><b>
Education and/or Experience</b></p><p>
Bachelor&rsquo;s degree in Data Science, Computer Science, Engineering, Mathematics, or related field with 4+ years of relevant experience, including leadership experience. Master's degree preferred.</p><p>
Strong communication skills with ability to engage stakeholders at all levels.</p><p>
Possesses or is able to obtain and maintain a SECRET security clearance.</p><p></p><p><b>
Citizenship Requirements</b></p><p>
Due to classified work at the facility and related access restrictions, successful applicants must be U.S. citizens and must be able to gain and maintain a DoD Secret level clearance.</p><p></p><p>
#TBE</p><p><br>
</p><p>Teledyne and all of our employees are committed to conducting business with the highest ethical standards. We require all employees to comply with all applicable laws, regulations, rules and regulatory orders. Our reputation for honesty, integrity and high ethics is as important to us as our reputation for making innovative sensing solutions.</p><p></p><p>
Teledyne 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 or veteran status, age, or any other characteristic or non-merit based factor made unlawful by federal, state, or local laws.</p></div>

Data Scientist

David Joseph & Company

<div><p><b>San Francisco, CA &middot; On-site &middot; Full-time</b><br>
<b>Compensation:</b> $130,000&ndash;$150,000 base (up to $300K total cash comp) + equity</p><h3 class="jobSectionHeader"><b>
About the Company</b></h3><p>
A fast-growing, venture-backed AI company building the training data and evaluation infrastructure that leading frontier AI labs use to improve their models &mdash; designing high-signal datasets and running rigorous evaluations that go beyond static benchmarks. One of the fastest-growing companies in its cohort.</p><p>
Founded 2025 &middot; 11&ndash;50 people &middot; Industry: AI training data &amp; model evaluation infrastructure</p><h3 class="jobSectionHeader"><b>
The Role</b></h3><p>
A founding-level role at the intersection of technical execution and strategic leadership. You'll own high-impact initiatives end-to-end &mdash; from requirements through delivery &mdash; managing teams of engineers, data scientists, and ML specialists while shipping production code yourself, and interfacing directly with research teams at leading AI labs.</p><p><b>
What you'll be doing</b></p><ul><li>
Own end-to-end technical initiatives: scoping requirements, building solutions, managing experts through delivery, and shipping code yourself when it unblocks the team.</li><li>
Design and build technical infrastructure and tooling for dataset generation, quality control, and delivery pipelines across multiple concurrent lab contracts.</li><li>
Manage and mentor teams of software engineers, data scientists, and ML specialists; set technical direction and hold the bar for execution velocity.</li><li>
Interface directly with research teams at leading AI labs to translate their needs into technical specs and ensure delivery meets their standards.</li><li>
Debug production issues live under pressure; rapidly context-switch between hands-on engineering, team leadership, and strategic problem-solving.</li><li>
Support the founding team on the highest-impact work &mdash; internal tooling, major contracts, and hiring.</li></ul><p><b>
Tech stack:</b> Python; data pipelines, APIs, ML/AI tooling</p><h3 class="jobSectionHeader"><b>
Requirements</b></h3><ul><li>
CS degree, engineering experience, or equivalent demonstrated ability to ship technical projects</li><li>
Manage teams of technical experts across software engineering, data science, and machine learning</li><li>
Build technical infrastructure and tooling for dataset generation, quality control, and delivery pipelines</li><li>
Drive technical and operational initiatives end-to-end: scoping requirements, building solutions, and managing technical experts</li><li>
Interface directly with engineering and research teams at leading AI labs</li><li>
Support founding team on high-priority technical projects and operational initiatives</li><li>
Proficiency in Python and production-quality code</li><li>
Experience with data pipelines, APIs, or ML/AI tooling</li><li>
Strong leadership experience and communication skills</li><li>
Ability to context-switch rapidly between technical and strategic work</li><li>
Intense work ethic, agency, and drive</li><li>
Competitive nature and track record of exceptional achievement</li><li>
Undergraduate degree from the U.S., Canada, or the U.K.</li></ul><h3 class="jobSectionHeader"><b>
Green Flags</b></h3><ul><li>
Background in software engineering, ML engineering, AI research, or computer science</li><li>
Experience at top tech company (FAANG, frontier AI lab) or quantitative trading firm</li><li>
Prior startup experience or founding experience</li><li>
Willingness to work long hours and weekends when projects demand it</li></ul><h3 class="jobSectionHeader"><b>
Red Flags</b></h3><ul><li>
Worked cushy tech jobs (FAANG PM, etc.) and may not be used to intense work environments.</li><li>
Struggles with ambiguity or lacks examples of owning large, complex projects.</li><li>
Only interested in remote work &mdash; role is strictly in-person.</li><li>
Can't articulate why they want to pivot into AI ops or join a startup now.</li><li>
No experience managing teams or unclear on motivating people toward execution.</li></ul><h3 class="jobSectionHeader"><b>
Why Join</b></h3><ul><li>
Direct access to the founding team on their highest-priority problems</li><li>
Exposure to leading frontier AI labs; work that powers major contracts</li><li>
Up to $300K total cash comp plus meaningful equity in a fast-scaling company</li></ul><h3 class="jobSectionHeader"><b>
Details</b></h3><ul><li><b>
Location:</b> San Francisco, CA</li><li><b>
Work policy:</b> On-site &mdash; strictly in-person</li><li><b>
Compensation:</b> $130,000&ndash;$150,000 base (up to $300K total cash comp) + equity</li><li><b>
Visa sponsorship:</b> None available</li><li><b>
Employment type:</b> Full-time</li></ul></div>

Strategic Projects Lead - Coding

Atlanta Community Food Bank

<div><p>This position works a hybrid schedule at our east point location<br>
<b>Who</b> <b>We Are:</b></p><p>
The Atlanta Community Food Bank is committed to ending hunger in our community by leveraging food, dedicated people, and innovative solutions to ensure that no one has to worry about their next meal. Since 1979, we&rsquo;ve provided vital resources to a growing network of nonprofit partners, including food pantries, community kitchens, childcare centers, night shelters, and senior centers. Today, we proudly serve over 700 partners across 29 counties in metro Atlanta and north Georgia, working together to create a hunger-free future.</p><p><b>
Where</b> <b>You&rsquo;ll</b> <b>Work:</b></p><p>
Business Intelligence and Analytics / Information &amp; Technology
</p><p><b>About the Role:</b></p><p>
As the Senior Manager, Data Products &amp; Analytics, you'll lead the strategy, development, and delivery of data products that help the Atlanta Community Food Bank make smarter decisions and increase our impact across Georgia. In this role, you'll partner with leaders across the organization to transform complex data into meaningful insights, modernize our analytics capabilities, and build scalable solutions that empower teams to make informed decisions. You'll also help advance the responsible use of artificial intelligence and emerging technologies, identifying opportunities to apply these capabilities to improve decision-making, increase efficiency, and extend the impact of our work.</p><p>
You'll lead a team responsible for delivering trusted data, meaningful insights, and innovative analytics solutions that support the Food Bank's strategic priorities. By partnering with teams across the organization, you'll help transform data into actionable information that improves operations, strengthens decision-making, and advances our mission to end hunger.</p><p><b>
What</b> <b>You&rsquo;ll</b> <b>Do:</b></p><p><b>
 Execute Data Strategy:</b></p><br>
<ul><li>
Lead or co-lead workstreams in the development and maintenance of the Food Bank&rsquo;s data systems, including a data lakehouse analytics environment. Ensure data is organized, accessible, and optimized for analysis and reporting in alignment with organizational goals.</li><li>
Design and manage semantic models that unify business definitions, enable consistent reporting, and support governed self-service analytics across the organization.</li><li>
Develop and optimize DAX calculations (measures, time intelligence, row-level security) to deliver accurate, performant insights for dashboards, scorecards, and ad-hoc analysis.</li><li>
Facilitate data governance initiatives by engaging stakeholders across domains to define metrics, maintain data quality, and align on standards and access controls.</li><li>
Partner with the Information Architect to advance the Food Bank&rsquo;s enterprise data platform, including data architecture, integrations, governance, and semantic modeling capabilities.
</li><li>Collaborate with the Information Architect to ensure data products and analytics solutions align with enterprise architecture standards and long-term technology strategy.
</li><li>Lead the maturation of ACFB's data product operating model, establishing domain ownership, shared governance, and self-service analytics capabilities that align with data mesh principles.
 </li></ul><p><b>Data Products:</b></p><ul><li>
Oversee the development and lifecycle management of data products that support ACFB processes, decisions, and strategic priorities.
</li><li>Manage solutions built in Power BI, Azure, Power Platform, and Microsoft Fabric, ensuring clear documentation, stakeholder alignment, and actionable design.
</li><li>Oversee the administration and adoption of the PolicyMap environment, ensuring stakeholders have access to geographic, demographic, and community data that informs strategic decision-making and program effectiveness.
</li><li>Identify and implement automation opportunities using low-code tools, cloud services, and scripting to increase efficiency and reduce manual work.</li></ul><p><b>
 Analytics:</b></p><ul><li>
Perform and oversee analyses that explore data in business context, applying statistical techniques, performance metrics, and visualization to uncover insights.</li><li>
Lead performance management reporting and help stakeholders track key KPIs and operational benchmarks.
</li><li>Promote strong problem-solving frameworks, incorporating both exploratory analysis and structured diagnostic approaches.</li><li>
Communicate complex findings to diverse audiences through compelling storytelling, strong visualization, and consultative dialogue.</li><li>
Build trusted relationships across Food Bank departments, fostering a culture of curiosity, data fluency, and continuous improvement.
</li></ul><p><b>Leads a Successful Team:</b></p><ul><li>
Execute department strategy by translating goals and initiatives into actionable plans for the team.</li><li>
Lead, coach, and develop a high performing team of data analysts. Ensure team members are productive, engaged, and meet performance expectations.</li><li>
Provide hands-on support to team members, guiding them through challenges and offering real-time coaching and feedback.</li><li>
Monitor and evaluate team performance, implementing improvement plans and ensuring adherence to organizational standards.</li><li>
Facilitate communication between staff and upper management, ensuring clarity on expectations, priorities, and progress.</li><li>
Support hiring, onboarding, and training of new team members, ensuring they are equipped to perform their roles effectively.</li><li>
Foster a positive team environment, promoting collaboration, accountability, and strong morale within the department.
</li><li>Track and report team metrics to department leadership, identifying areas for improvement and success in meeting goals.</li></ul><p><b>
Key Competencies we look for in All our Food Bankers are:</b></p><ul><li>
Customer Focus</li><li>
Decision Making</li><li>
Accountability</li><li>
The Ability to Navigate Change</li></ul><p>
If you&rsquo;re excited about this role and can clearly demonstrate these and the other skills named below, we encourage you to apply. You may be just the right candidate for this or other roles!</p><p><b>
 Skills</b> <b>your resume should</b> <b>demonstrate:</b></p><ul><li>
Demonstrated experience in analytics, data strategy, computer science or business intelligence.
</li><li>Strong command of Microsoft Azure ecosystem (Data Factory, Integration Services, Synapse, Fabric).</li><li>
Familiarity with supply chain or distribution business environments
</li><li>Demonstrated experience developing Power BI reports, managing semantic models, and automating data workflows.</li><li>
Working knowledge of geospatial tools such as ArcGIS and their integration into business intelligence use cases.
</li><li>Proven ability to translate business needs into scalable data solutions and insights.</li><li>
Excellent communication, facilitation, and relationship-building skills.</li><li>
Possess good working knowledge with Python, SQL, and PowerApps
</li><li>Team leadership or mentoring experience.</li></ul><p><b>
There may be some Physical Demands and Travel:</b></p><p>
The physical demands and work environment characteristics 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.</p><ul><li>
Employee is routinely required to lift 25 lbs.</li><li>
Expected local travel time for this position is up to 10% per year</li></ul></div>

Senior Manager, Data Products & Analytics

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