machine learning manager

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

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

Emirates Nuclear Energy

<div></div><div><div><div><div><div>Posting Date: 7 Jul 2026
</div></div></div></div><div><div><div><div>Requisition ID: 3823
</div></div></div></div><div><div><div><div>Location: HQ - Abu Dhabi
</div></div></div></div><div><div><div><div>Posting Status: Active Recruitment
</div></div></div></div><div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Job Purpose</b></h2>
</div><div><p>We are seeking a versatile and experienced Data Engineer to join our team. The ideal candidate will have a strong background in data engineering and machine learning, with the ability to design, build, and maintain data pipelines, as well as develop and deploy machine learning models. This role requires a deep understanding of data lakehouses, such as Databricks and Azure Fabric, and the ability to work collaboratively with cross-functional teams to deliver data-driven solutions.<br>
<br>
</p></div></div><div><div><h2 class="jobSectionHeader"><b>Key Activities, Responsibility &amp; Accountability</b></h2>
</div><div><div>Key Responsibilities:
<br>
Data Engineering:
<br>
<ul><li>Design, build, and maintain scalable data pipelines and ETL processes.
</li><li>Work with large datasets and data lakehouses, including Databricks and Azure Fabric.
</li><li>Ensure data quality, integrity, and security across all data pipelines.
</li><li>Optimize data storage and retrieval processes for performance and efficiency.
</li></ul>Machine Learning Engineering:
<br>
<ul><li>Develop, implement, and optimize machine learning models and algorithms.
</li><li>Perform data analysis and model tuning to improve accuracy and performance.
</li><li>Deploy machine learning models into production environments.
</li><li>Monitor and maintain the performance of deployed models.
</li></ul>Collaboration:
<br>
<ul><li>Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
</li><li>Work closely with data scientists, analysts, and other stakeholders to ensure seamless integration of data and models.
</li></ul>Continuous Learning:
<br>
<ul><li>Stay up-to-date with the latest advancements in data engineering and machine learning.
</li><li>Participate in training and development opportunities to enhance skills and knowledge.<br>
</li></ul></div></div></div><div><div><h2 class="jobSectionHeader"><b>Responsibilities &amp; Accountabilities (contd.)</b></h2>
</div></div><div></div><div><div><h2 class="jobSectionHeader"><b>Professional Certifications</b></h2>
</div></div><div></div><div><div><h2 class="jobSectionHeader"><b>Qualifications</b></h2>
</div><div><p>Bachelor's or Master's degree in Data Science, Computer Science, Engineering, or a related field.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>Experience</b></h2>
</div><div><ul><li>5-10 years of experience in data engineering and machine learning.
</li><li>Proficiency in programming languages such as Python, R, or SQL.
</li><li>Experience with data lakehouses, particularly Databricks and Azure Fabric.
</li><li>Strong analytical and problem-solving skills.
</li><li>Excellent communication and teamwork abilities.
</li><li>Ability to work independently and manage multiple projects simultaneously.</li></ul></div></div></div></div></div></div></div></div><p></p>

Data Engineer

Envision Employment Solutions

<div><p><b>Envision Employment Solutions</b> is currently looking for a<b> Senior Data Scientist - AI &amp; ML Engineer </b>for one of our partners, a global leader in <b>consulting, digital transformation, technology and engineering services!</b></p><p></p><p><b>
About:</b></p><p>
The <b>Senior Data Scientist - AI &amp; ML Engineer </b>will be responsible for delivering end-to-end machine learning solutions, designing scalable AI architectures, and developing Agentic AI applications that drive intelligent automation and business value.</p><p></p><p><b>
Responsibilities:</b></p><p><b>
AI &amp; Machine Learning Development</b></p><ul><li>
Design, develop, and deploy AI and machine learning solutions that address business needs.
</li><li>Build and implement Agentic AI applications using modern AI frameworks.
</li><li>Lead the full machine learning lifecycle, including data preparation, feature engineering, model development, evaluation, deployment, and monitoring.
</li><li>Optimize models to improve accuracy, scalability, and performance in production environments.
</li><li>Implement model monitoring, drift detection, and retraining strategies.
</li></ul><p><b>Data Engineering &amp; MLOps</b></p><ul><li>
Design scalable data pipelines to support machine learning workloads.
</li><li>Collaborate with data engineers to ensure reliable data ingestion, transformation, and storage.
</li><li>Develop and maintain ML-focused CI/CD pipelines.
</li><li>Implement model versioning, automated testing, and deployment best practices.
</li><li>Support containerized and cloud-native ML deployments.
</li></ul><p><b>Cloud &amp; Solution Architecture</b></p><ul><li>
Design AI and ML solutions using cloud platforms such as Azure, AWS, or GCP.
</li><li>Architect scalable infrastructure to support enterprise AI applications.
</li><li>Recommend technology solutions aligned with business and technical requirements.
</li><li>Ensure AI solutions meet security, reliability, and performance standards.
</li></ul><p><b>Collaboration &amp; Leadership</b></p><ul><li>
Partner with business stakeholders to understand objectives and translate them into technical solutions.
</li><li>Collaborate with cross-functional teams throughout the solution lifecycle.
</li><li>Mentor junior data scientists and ML engineers.
</li><li>Promote best practices in machine learning, software engineering, and MLOps.
</li><li>Stay informed about emerging AI technologies and industry trends.</li></ul><br>
<b>
Requirements</b><br>
<ul><li>
6-10 years of experience working with complex datasets and solving real-world business problems using AI</li><li>
Proven track record of deploying and maintaining ML models in production environments and delivering AI solution architecture.</li><li>
Strong proficiency in Python, data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and agentic application development libraries (e.g. LangChain, LangGraph).</li><li>
Strong command of SQL and experience with large-scale data processing tools (e.g., Spark, Pandas).</li><li>
Deep understanding of cloud platforms (Azure, AWS, GCP) and their ML services.</li><li>
Skilled in MLOps practices including CI/CD, containerization (e.g. Docker), and orchestration (Kubernetes).</li><li>
Strong command of Git and collaborative development workflows.</li><li>
Excellent written and verbal communication skills, capable of conveying complex concepts to a variety of audiences.</li><li>
Fluent in Arabic &amp; English, both spoken and written (German is a plus!)</li><li>
Able to listen to and understand customer needs and articulate them as technical requirements to the team.</li><li>
Strong problem-solving abilities and attention to detail.</li><li>
Strategic thinking with the ability to align data science initiatives with business objectives.</li><li>
Strong leadership and team management skills with the ability to inspire and motivate.</li><li>
Ability to work collaboratively in a team environment.</li><li>
Self-motivated with a strong growth mindset.</li></ul></div>

Senior Data Scientist - AI & ML Engineer

The Emirates Group

<div><h5 class="jobSectionHeader"><b>Job Purpose<br>
</b></h5> <p>At Emirates Group our Analytics Centre of Excellence (ACoE) is a centralized unit that provides data and analytics support to Emirates Group businesses. This allows our businesses to make better decisions by using data and analytics to understand our customers, operations, and markets.The ACoE is an essential part of Emirates Group's digital transformation strategy. The unit is helping Emirates Group to become a more data-driven organization and to make better decisions by using data and analytics.<br>
</p><p></p><br>
<p>As a <b>Data Scientist Team Lead </b>you will manage and drive data science projects through the application of mathematical modelling, machine learning, problem structuring and big data analysis to solve complex business problems across the Emirates Group portfolio. The role will require strong skills in computer science, mathematics, statistics and creative problem solving. The job holder is a focused individual who is able to transcend the world of theory, bring it to life in the business context and collaborate successfully with cross functional teams including academic researchers, business stakeholders and information technology teams.<br>
</p><p></p><br>
<p><b>In this role you will:
</b></p><div><ul><li>Manage team of Data Scientists, ensuring the culture, strategy and vision are passed to the teams. Aligned with the DS and EA leadership, review team capabilities and establish training/mentoring plan.
</li><li>Support and drive DS execution within team, targeting and developing relationships with the key internal stakeholders and clients to continue to drive practice demand growth.
</li><li>Derive business insight from large, structured, semi-structured and unstructured, data sets and work with business stakeholders to deploy insights derived from this analysis to extract commercial value.
</li><li>Develop, formulate and execute big data models to solve complex business problems. Research, design, implement and validate cutting-edge algorithms to achieve targeted business outcomes using mathematical models, machine learning, operational research theories and dynamic simulations.
</li><li>Build prescriptive models to identify multi-dimensional trends and patterns to understand our customers, optimise revenue and demand management plus drive efficiencies across the operational environment including aircraft operations, engineering, workforce management and catering.
</li><li>Work with cross-functional team members, combining computer science and mathematics, to identify and inject high-value actionable insights into business processes at their point of highest impact. Work in quick iterations, using the techniques and algorithms best suited for solving the challenging problems of the aviation business.
</li><li>Develop and recommend enhancements to existing tools with the goal of advancing the data science capabilities of the organisation. Perform validation and testing of models to ensure adequacy and reformulate models as necessary.
</li><li>Clearly document and communicate the outcomes of the data science initiatives and make sure that the insights and findings can be clearly understood by business stakeholders and translated into actions.
</li>Inspire and promote the adoption of advanced analytics and data science across the entirety of our organization and provide expertise on mathematical concepts for the broader applied analytics team.<br>
<li>
</li></ul></div><p></p><br>
<h5 class="jobSectionHeader"><b>Qualification
</b></h5><p><b>To be considered for the role, you must meet the below requirements:
 </b></p><p><b>Qualifications:
</b></p><div><ul><li>MSc/PhD in a relevant field such as data science, operations research, mathematics, science, data mining, artificial intelligence, applied statistics, machine learning or economics.
 </li></ul></div><p><b>Experience:
</b></p><div><ul><li>7-10+ years of hands-on experience in the Analytics ecosystem including:
</li></ul></div><div><div><div><div><ul><li>Experience Managing Data Science or Analytics Teams or acting as Manager in a consulting company.
</li></ul><ul><li>3-5 years hands-on experience with big data technologies (Spark and Hadoop ecosystem) and deep learning frameworks (Tensorflow, Keras, etc.).
</li></ul><ul><li>5-7 years hands-on experience with SQL, R, Python.
</li></ul><ul><li>2-4 years hands-on experience with DevOps frameworks (Git, CI/CD, Docker).
</li></ul><ul><li>3-5 years hands-on experience building libraries and packages to be re-used by others.
</li></ul><ul><li>3-5 years hands-on experience building DS Solutions for production usage.
</li></ul><ul><li>Team player with a problem-solving attitude.
</li></ul><ul><li>Experience of leading &amp; delivering advanced analytical projects to large, complex organisations in a multi-functional environment.
</li></ul><ul><li>Able to challenge and review the quality and value generated from analytical output.
</li></ul>Focus on driving business value for business clients to support long term relationships. Ability to grow teams, ensuring the culture and strategy gets followed by the new hires.<br>
<ul><li>
</li></ul></div></div></div></div><div></div><br>
<p>Join us in a management role and enjoy an attractive tax-free salary. On top of our generous travel benefits, including discounted flights and hotel stays around the world, this managerial role also has an excellent leave and healthcare package. That&rsquo;s on top of transport benefits, life insurance and more.
</p><h5 class="jobSectionHeader"><b>Salary &amp; benefits
</b></h5><p>Find out what it&rsquo;s like to live and work in our fast-paced, cosmopolitan home city in the Dubai Lifestyle section of our website www.emirates.com/careers</p></div>

Data Scientist Team Lead –

Analytical Mechanics Associates, Inc.

<div><p><b>Job Description:</b></p><p></p><p>
56-$69 Analytical Mechanics Associates (AMA) is seeking a highly specialized Subject Matter Expert to serve in a part-time, advisory capacity. This consultant will provide strategic technical guidance and expert review at the intersection of computational aerothermodynamics, advanced modeling and simulation (M&amp;S), and machine learning (ML).</p><p></p><p>
Requiring a commitment of no more than 20 hours per month, this role is ideal for an established researcher, academic, or industry veteran looking to lend their expertise to cutting-edge aerospace challenges without a full-time commitment.</p><p></p><p>
The hourly rate for this position is $59-$69 an hour commensurate with experience and education.</p><p></p><h2 class="jobSectionHeader"><b>
Key Responsibilities:</b></h2><ul><li><p><b>
Technical Advisory:</b> Provide expert-level consultation on computational aerothermodynamics methodologies, physics-based modeling, and simulation strategies.</p></li><li><p><b>
Machine Learning Integration:</b> Advise on the application and integration of machine learning algorithms (e.g., surrogate modeling, physics-informed neural networks, data-driven turbulence modeling) to enhance traditional CFD and aerothermodynamic workflows.</p></li><li><p><b>
Design &amp; Architecture Review:</b> Evaluate and provide feedback on the architecture of high-performance physical models and numerical methods.</p></li><li><p><b>
Strategic Roadmapping:</b> Assist engineering teams in identifying emerging trends and state-of-the-art techniques in M&amp;S and computational physics to maintain a competitive technical edge.</p></li><li><p><b>
Mentorship &amp; Collaboration:</b> Serve as a sounding board for senior engineers and developers, helping to troubleshoot complex physical and algorithmic challenges.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Required Qualifications:</b></h2><ul><li><p><b>
Education:</b> Ph.D. in Aerospace Engineering, Mechanical Engineering, Physics, or a strictly related computational discipline.</p></li><li><p><b>
Experience:</b> A minimum of 5 years of active, post-Ph.D. professional experience specifically focused on computational aerothermodynamics, M&amp;S, and ML.</p></li><li><p><b>
Domain Expertise:</b> Deep foundational knowledge of hypersonic and supersonic flows, high-temperature gas dynamics, and advanced computational fluid dynamics (CFD).</p></li><li><p><b>
Machine Learning Proficiency:</b> Proven track record of applying machine learning, deep learning, or advanced statistical modeling to complex fluid dynamics or thermodynamic problems.</p></li><li><p><b>
Communication:</b> Exceptional ability to distill complex theoretical concepts into actionable engineering guidance.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Preferred Qualifications:</b></h2><ul><li><p>
Familiarity with modern, high-performance software architecture, particularly the development of robust C++ libraries for CFD codes (e.g., providing complex gas properties).</p></li><li><p>
Experience with heterogeneous computing environments, including GPU acceleration and parallel programming models (e.g., OpenMP, CUDA, Kokkos).</p></li><li><p>
Deep knowledge of physics of high-enthalpy flows, including thermal radiation, chemical kinetics, and transport processes.</p></li><li><p>
History of peer-reviewed publications in relevant aerospace, physics, or computational science journals.</p></li></ul><p></p><p>
This position requires U.S. Citizenship or Permanent Residence.</p><p></p><p><br>
Analytical Mechanics Associates (AMA) is proud of our customer relationships, our diverse and dynamic work environment, and our employees' career satisfaction. AMA is a small business with a wide reach; headquartered in Hampton, VA, AMA has operations in Greenbelt, MD; Huntsville, AL; Dallas and Houston, TX; Denver, CO; Mountain View, CA; and Edwards Air Force Base, CA. With over 60 years of experience, AMA specializes in aerospace engineering, science, analytics, information technology, and visualization solutions. AMA combines the best of engineering, science, and mathematics capabilities with the latest in information technologies, visualization, and multimedia to build creative solutions. We offer competitive salaries and a substantial benefits package, including but not limited to paid personal and federally recognized holiday leave, salary deferrals into a 401(k)-matching plan with immediate vesting, tuition reimbursement, short/long term disability plans, and a variety of medical, dental, and vision insurance options.<br>
<br>
AMA is committed to the professional growth of every employee, understanding that the successes of our employees drive our success. We provide a work environment that is engaging, collaborative, and supportive. .</p><p><br>
AMA is an Equal Opportunity Employer and does not discriminate against any applicant for employment or employee because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic prohibited under federal, state, or local laws.</p></div>

Senior Consultant – Computational Aerothermodynamics & Machine Learning

The New York Times

<div><div><div><div><div><div><p><b>The </b><b>mission</b><b> of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It's why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It's why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it's why our business strategy centers on making journalism so good that it's worth paying for.</b></p>
</div>
</div></div></div></div><p><b>About the Role, Mission or Department Overview</b></p>
<p>
The New York Times is hiring a Machine Learning Scientist to join the New A.I. Products &amp; Platforms mission. We are a team building the next generation of reader-facing A.I. experiences for one of the world's most trusted news organizations.</p><br>
<p></p>
<p>
You will join a team of ML scientists developing embedding models and retrieval algorithms to power new A.I. experiences across our products. You will design and train embedding models for representation learning and fine-tune language models for custom use cases and content enrichment. Your work will allow teams across the company to build, deploy, and manage applications that use large language models (LLMs) to promote our journalism and our business. You will report to our Director, Machine Learning. This is a hybrid remote/in-office role.</p><br>
<p></p>
<p><b>
Responsibilities:</b></p>
<ul>
<li><p>You will design and train embedding models for representation learning, for example using transformer encoders and Two Tower architectures.</p>
</li>
<li><p>You will fine-tune and evaluate language models for custom use cases and content enrichment.</p>
</li>
<li><p>You will contribute to shared practices around evaluation, responsible A.I. use, and what &quot;good&quot; is inside an organization where judgment and independence are important</p>
</li>
<li><p>You will implement and deploy machine learning and AI research with robustness and reproducibility, with consideration of risks and trade-offs</p>
</li>
<li><p>You will adapt or develop ML and AI algorithms in cases when existing techniques are insufficient, while implementing simple approaches</p>
</li>
<li><p>You will communicate complex ideas in machine learning and AI while collaborating with all kinds of colleagues in engineering, analytics, product management, marketing, editorial, and executive leadership groups</p>
</li>
<li><p>Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.</p></li></ul><br>
<p>
</p><p><b>Basic Qualifications:</b></p>
<ul>
<li><p>PhD, MS + 2 years experience, or 3+ years work experience in machine learning, statistics, computational social science, applied mathematics, or another quantitative/computational discipline</p>
</li>
<li><p>2+ years experience with open source machine learning or statistical analysis tools</p>
</li>
<li><p>2+ years coding experience in Python</p>
</li>
<li><p>2+ years experience in SQL and manipulating large structured or unstructured datasets for analysis</p>
</li>
<li><p>1+ years of experience with deep learning architectures, fine-tuning, embeddings and Pytorch or Tensorflow</p></li></ul><br>
<p>
</p><p><b>Preferred Qualifications:</b></p>
<ul>
<li><p>1+ years of experience with information retrieval or search systems</p>
</li>
<li><p>1+ years of experience translating ambiguous business questions into machine learning problems</p>
</li>
<li><p>1+ years of experience building data products, either internal or consumer-facing</p>
</li>
</ul><p>REQ-020337</p><p></p><div><p><br>
For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs.</p>
<p>
For roles outside of the U.S., information on benefits will be provided during the interview process.</p>
<p>
We're excited to learn more about you and your experience. To keep our hiring process as fair and authentic as possible, we ask that you submit your own work and not use GenAI tools to generate substantive content during the application and interview process.</p>
<p>
If you're an Engineering candidate, we'll let you know what specific GenAI tools you are permitted to use for your technical assessment.</p>
<p>
The New York Times Company is committed to being the world's best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply.</p>
<p>
We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)'s Know Your Rights Poster is available here.</p>
<p>
The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email reasonable.accommodations@nytimes.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response.</p>
<p>
The Company encourages those with criminal histories to apply, and will consider their applications in a manner consistent with applicable &quot;Fair Chance&quot; laws, including but not limited to the NYC Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.</p>
<p>
For information about The New York Times' privacy practices for job applicants click here.</p>
<p>
Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times.</p>
<p>
If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at NYTapplicants@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general.</p></div></div><p></p>

Machine Learning Scientist, New AI Products and Platforms

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