economist

Surbana Jurong Private Limited

<div><p><b>About SMEC</b></p><p><b>
Delivering exceptional outcomes starts with having exceptional people.</b></p><p>
SMEC provides unique opportunities to work on iconic industry projects with experienced colleagues and leadership teams. We support and empower employees to drive innovation initiatives within a well-established and growing organization.</p><p></p><p>
Every employee plays a key role in shaping our business and is driven by teamwork, progressive thinking and creative ideas. We are committed to providing platforms to enable our people to engage in the business, deliver value to clients and develop their careers.</p><p></p><p>
When you join SMEC, you join a flexible growing organization that has a genuine commitment to CSR, diversity and improving the world we live in.</p><p></p><p><b>
The role</b></p><p>
We are seeking a skilled <b>Power Economist</b> for a key power and energy project in Hyderabad, Sindh. The role involves economic analysis, energy resource planning, and policy evaluation to ensure project success. Ideal candidates should have expertise in power economics and experience in the energy sector, working with cross-functional teams to optimize outcomes.</p><ul><li>
Review of report of the Project with special reference to pricing, economic aspects etc.</li><li>
To carry out Economic and financial analyses of the project giving B/C ratio, IRR and NPV</li><li>
Preparation of Sensitivity analysis</li><li>
To carry out Assessment of Internal Rate of Return, Benefit/Cost Ratio, Net Present Value</li><li>
To estimate project benefits, economic and financial rate of return for the project.</li><li>
Carry out financial analysis, assist client to maintain project budgetary/financial control.</li></ul><p></p><p>
With a track record of achievement in a related role, you will have gained your experience in a consultancy environment and have a passion for building trusted relationships to drive positive change and win new work.</p><p></p><p>
Suitable applicants will have/be:</p><ul><li>
Tertiary qualifications or a related discipline (e.g. Master degree in Economics)</li><li>
Minimum of 15 years of relevant experience in the energy or power sector.</li><li>
Proficient in conducting economic and financial analysis of infrastructure development projects.</li><li>
Specialized knowledge in projects involving transmission lines and grid stations.</li><li>
Strong communication and reporting skills to present economic insights.</li><li>
Experience working on large-scale energy projects is a plus.</li></ul><p></p><p>
SMEC is an equal opportunity employer. Diversity is a source of strength for our people, our clients, our partners and our communities.</p><p></p><p><b>
How to apply
</b></p><p>All applications must be submitted online and for a confidential discussion regarding this opportunity, please contact<b> Taimoor Tariq - </b><b>Taimoor.tariq@smec.com</b></p><p></p><p>
For further details about us, please visit our website:</p><p>
https://www.smec.com/</p><p>
www.smec.com/careers</p><p></p><p><b>
All recruitment activities go through our Recruitment &amp; Talent Team and currently, this role doesn&rsquo;t require agency input. Please do not forward resumes directly to SMEC employees.</b></p><p></p><p>
At Surbana Jurong, we put talent, hard work, teamwork and a fun workplace together to approach problems and solve them creatively and collaboratively. Join us in making a positive impact on the world!</p></div>

Power Economist

SMEC

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Device Economics is looking for a senior economist experienced in causal inference, machine learning, empirical industrial organization, and scaled systems to work on business problems to advance critical resource allocation and pricing decisions in the Amazon Devices org. Senior roles lead vision setting, methods innovation, and act as thought leaders to Devices finance and business executives. Output will be included in scaled systems to automate existing processes and to maximize business and customer objectives.<br>
<br>
Amazon Devices designs and builds Amazon first-party consumer electronics products to delight and engage customers. Amazon Devices represents a highly complex space with 100+ products across several product categories (e-readers [Kindle], tablets [Fire Tablets], smart speakers and audio assistants [Echo], wifi routers [eero], and video doorbells and cameras [Ring and Blink]), for sale both online and in offline retailers in several regions. The space becomes more complex with dynamic product offering with new product launches and new marketplace launches. The Device Economics team leads in analyzing these complex marketplace dynamics to enable science-driven decision making in the Devices org. Device Economics achieves this through scientific applications that provide deep understanding of customer preferences. Our team&rsquo;s outputs inform product development decisions, investments in future product categories, and product pricing and promotion. We have achieved substantial impact on the Devices business, and will achieve more.<br>
<br>
Device Economics seeks an experienced economist adept in measuring customer preferences and behaviors with proven capacity to innovate, scale measurement, drive rigor, and mentor talent.<br>
<br>
Key job responsibilities<br>
The candidate will work with Amazon Devices science leadership to refine science roadmaps, models, and priorities for innovation and simplification, and advance adoption of insights to influence important resource allocation and prioritization decisions. Effective communication skills (verbal and written) are required to ensure success of this collaboration. The candidate must be passionate about advancing science for business and customer impact.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>PhD in economics or equivalent</li><li>Experience in industry, consulting, government or academic research</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in analytics and applied economics</li><li>Experience in developing and executing an analytic vision to solve business-relevant problems</li><li>Experience in building statistical models using R, Python, STATA, or a related software</li><li>Effective verbal and written communications skills with both economists and non-economist audiences.</li><li>Ability to work in a fast-paced business environment.</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, VA, Arlington - 159,200.00 - 215,300.00 USD annually<br>
USA, WA, Seattle - 159,200.00 - 215,300.00 USD annually</div><p></p>

Senior Economist, Device Economics

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
We are looking for a science leader who is able to provide structure around complex business problems, work with machine learning scientists to estimate and validate their models on large scale data, and who can help business and tech partners turn the results of their analysis into policies, programs, and actions that have a major impact on Amazon&rsquo;s business. We are looking for creative thinkers who can combine a strong economic toolbox with a desire to learn from others, and who know how to execute and deliver on big ideas.<br>
<br>
At the senior level, we expect you be able to own the development of scientific models and to manage, in close collaboration with scientists and engineers, the data analysis, modeling, and experimentation that is necessary for estimating and validating your model. You will need to work with our business partners to communicate the properties of your analysis/modeling and be able to work to incorporate their feedback and requests into your project. Experience in applied economic analysis is essential, and you should be familiar with modern tools for data science and business analysis.<br>
<br>
About the team<br>
The Stores Economics and Science (SEAS) organization uses economics, statistics, and machine learning to understand and design the complex economy of Amazon&rsquo;s network of buyers and sellers. We are an interdisciplinary team, committed to use of cutting edge technology and leveraging the strengths of engineers and scientists to build solutions for some of the toughest business problems at Amazon. Our team is composed in equal parts of software engineers and scientists trained in diverse fields including ML, robotics, computer vision (CV), natural language processing (NLP), distributed systems and econometrics.<br>
<br>
Our mission is to drive adoption of AI science and technology across Amazon by partnering with business teams on science-heavy problems, incubating products with high AI research risk, reducing friction and manual effort with AI tooling, and raising the scientific bar across all teams at Amazon.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>PhD in Economics, Computer Science, Operations Research or highly related field (Physics, Statistics, Mathematics).</li><li>Experience in industry, consulting, government, or academic research.</li><li>Coding ability in a scripting language such as R, Python, Matlab, or STATA.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Written and verbal communications skills to convey complicated process and systems to business partners and senior leadership.</li><li>Applicants with considerably more and broader, experience are also strongly encouraged.</li><li>Strong track record in performing high-quality analysis of data at scale.</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, Mountain View - 276,100.00 - 350,000.00 USD annually<br>
USA, WA, Seattle - 240,100.00 - 324,800.00 USD annually</div><p></p>

Sr. Principal Scientist, Stores Economics and Science

SABIS Network

<div><div><div><div>Job Number</div>
<div>UAE00518</div>
<div>Job Type</div>
<div>Teaching</div>
<div>School / Entity Name</div>
<div>SABIS&reg; International School, Al Bateen, Abu Dhabi</div>
</div><div><div>Department</div>
<div>Teaching &amp; Academics</div>
</div></div><h3 class="jobSectionHeader"><b>About SABIS</b><b>&reg;</b></h3>
<p>SABIS&reg; is a global education network that has an active presence in 21 countries on five continents and educates students in both the private and public sectors. SABIS&reg; schools implement the proven, proprietary SABIS&reg; Educational System, which has been developed and refined for over 135 years.</p>
<p>All students in the SABIS&reg; Network benefit from a long tradition of excellence in education, a reputation that is rooted in a well-developed philosophy that seeks to provide students with a top-quality education that prepares them to meet the challenges of a changing world.</p>
<p>For more information about the SABIS&reg; Network, visit: www.sabis.net.</p>
<h3 class="jobSectionHeader"><b>Job Purpose</b></h3>
<p></p><p>Ensuring students&rsquo; success and helping them reach their full potential by implementing the SABIS&reg; curriculum and philosophy and through the consistent use of the SABIS&reg; teaching methods.</p>
<p></p><h3 class="jobSectionHeader"><b>Key Responsibilities:</b></h3>
<ul><li>Teaching a class using the provided lesson plans (may also be asked to develop such plans based on the provided pacing charts as relevant and needed) for their subject(s) in order to be able to teach using the SABIS&reg; point system.</li>
<li>Marking exams related to the taught subject in accordance with the schedule and material provided by the department.</li>
<li>Discussing disciplinary and student performance issues with the Academic Quality Controller (AQC) and Head of Department (HOD) as needed.</li>
<li>Implementing the SABIS&reg; Point System to ensure an environment conducive to learning in the classroom.</li>
<li>Proctoring exams as needed while ensuring an adequate and properly managed test environment.</li>
<li>Providing support for the academically low-performing students through guidance and motivation to help them improve and reach their full potential.</li>
<li>Developing and/or following up on external exams preparation by going through previous exams as planned in the structured revision schedule (when applicable to specific grade levels).</li>
<li>Aiding in duties that may include testing students, substituting for absent teachers, organizing students for lunches and buses, controlling traffic (vehicles and people), and other administrative duties as assigned by the school management.</li>
<li>Preparing and participating in activity plans related to student life events such as but not limited to art, open houses, and physical education, in coordination with the Student Life Coordinator (SLC).</li>
<li>Attending training sessions when needed and as requested by the school management in order to enhance the understanding of the SABIS&reg; system and improve the overall performance of students.</li>
<li>Performing other related tasks or projects as they arise and as delegated by the school management.</li>
</ul><h3 class="jobSectionHeader"><b>Ideal Requirements:</b></h3>
<ul><li>Bachelor degree in a related subject matter and/or equivalent</li>
<li>English Proficient</li>
<li>A minimum of 1 year of teaching experience</li>
<li>Professional behavior and ethical conduct</li>
<li>Delivering results</li>
<li>Continuous learning and improvement</li>
<li>Accountability and taking ownership</li>
<li>Excellent communication skills</li>
</ul><h3 class="jobSectionHeader"><b>Employment Requirements:</b></h3>
<p>Must meet all employment requirements including, but not limited to, country and local education and certification requirements, reference checks, and criminal background checks.</p>
<p>Additional details about this position will only be provided to shortlisted candidates.</p>
<p>SABIS&reg; is an equal opportunity employer. We are dedicated to a policy of non-discrimination in employment on any basis including age, sex, color, race, creed, national origin, religion, marital status, disability, or any other legally protected characteristics.</p></div><div></div>

Business / Economics

DataAnnotation

<div>
 Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule.
 <br/>
 <br/>
 We are looking for experienced quantitative professionals to help advance AI development. AI models are increasingly capable of performing complex analytical and scientific reasoning &mdash; but these systems still need practitioners with real-world quantitative experience to validate whether the outputs actually hold up in practice.
 <br/>
 <br/>
 That's where you come in.
 <br/>
 <br/>
 As a member of DataAnnotation's team, you'll work closely with state-of-the-art AI models on tasks like evaluating AI-generated quantitative analysis, solving technical problems, and providing feedback that directly shapes how these systems reason about data, models, and scientific problems. Whether your background is in data science, astrophysics, economics, biostatistics, operations research, or any other quantitative field, if you think rigorously about data and models, your skills are directly applicable here. Some team members fit this work alongside a full-time role, while others treat it as their primary focus.
 <br/>
 <br/>
 To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass, you'll receive an email confirmation, and paid work will become available on our platform.
 <br/>
 <br/>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
  </li>
  <li>
   Flexible schedule: choose which projects you take on and when you work.
  </li>
  <li>
   Competitive pay: projects are paid hourly starting at $50-$100+/hr, with bonuses for high-quality and high-volume work.
  </li>
  <li>
   Impact: help shape the future of AI systems built to reason about data and analytics.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world validity.
  </li>
  <li>
   Design and solve quantitative problems used to train and benchmark AI systems, spanning areas like forecasting, experimental analysis, optimization, and statistical inference.
  </li>
  <li>
   Write clear technical explanations and well-documented analytical code.
  </li>
  <li>
   Provide feedback that directly shapes the next generation of AI models built for quantitative reasoning.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   2+ years of hands-on experience in a quantitative role or research environment &mdash; such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or any adjacent field.
  </li>
  <li>
   Some coding experience required, with comfort writing and reviewing analytical code end-to-end.
  </li>
  <li>
   Practical experience with statistical methods, predictive modeling, and experiment design (e.g., A/B testing, hypothesis testing, regression, classification, time-series forecasting).
  </li>
  <li>
   Fluency in English (native or bilingual level) with strong writing skills.
  </li>
  <li>
   A bachelor's degree in a quantitative field is preferred (Statistics, Computer Science, Mathematics, Engineering, or similar); a master's or PhD is a plus.
  </li>
  <li>
   Relevant credentials are a plus (e.g., Kaggle Competition ranking, AWS/GCP ML certifications, or equivalent demonstrated expertise).
   <br/>
   <br/>
  </li>
 </ul>
 Note: Payment is made via PayPal. We will never ask for any money from you. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand.
 <br/>
 <br/>
 #datascience
</div>


Forecasting Analyst - AI Trainer

United Nations

<div><div><div><div>Result of Service
</div><div>Analysis of the current country context regarding violence against women and girls, with recommended policy and advocacy actions and M&amp;E plans.
</div></div><div><div>Work Location
</div><div>Remote
</div></div><div><div>Expected duration
</div><div>3 months
</div></div><div><div>Duties and Responsibilities
</div><div>Background: The UN Secretary-General's Development System reform, launched on 1 January 2019 in response to General Assembly resolution 71/243, repositions the UN Development System to deliver on the 2030 Agenda for dignity, prosperity and peace on a healthy planet. Central to this process, and as further mandated by General Assembly resolution 72/279, a new generation of UN Resident Coordinator Offices across the world are being strengthened under the leadership of an empowered UN Resident Coordinator, the highest-ranking representative of the UN Development System at country level. To effectively support the work of UN Country Team and the Government of Saudi Arabia, in support of national aspirations, the Resident Coordinators&rsquo; Office (RCO) seeks to develop an analytical paper to frame the context and status of Special Procedures Issues related to Violence Against Women and Girls, using key UN policy frameworks and international treaties and conventions, and published reports and documents, to frame the current country context and develop a set of policy and advocacy actions and an M&amp;E plan. Duties and Responsibilities: Under the direct supervision of the Head of RC Office and the RCO Economist, the Consultant (C) will: 1. Undertake a desk review of key UN policy frameworks, treaties and conventions and published reports and documents (UN 2030 and the SDGs, Special Rapporteurs reports, reports on UN Treaties and Conventions, etc.) and prepare a matrix relevant points and actions, including analysis of comparative good practices. 2. Develop an annotated outline for the research paper. 3. Prepare an initial draft for consultation with UN KSA, particularly with OHCHR. 4. Revise and finalize report based on feedback from consultations. 5. Develop a set of policy and advocacy actions based on the final analysis. 6. Develop an M&amp;E plan for tracking implementation 7. Related ad-hoc work
</div></div><div><div>Qualifications/special skills
</div><div>A bachelors degree n social sciences, economics, public health, law or related area is required. A Masters (Ongoing) or Higher (Ongoing) degree in social sciences, economics, public health, law or related area is desirable. All candidates must submit a copy of the required educational degree. Incomplete applications will not be reviewed. A minimum of 3 years of professional work experience in relevant research is required. Enrolled in or graduated from a Masters or Higher Level Programme is desirable High proficiency in academic writing in English is required
</div></div><div><div>Languages
</div><div>English and French are the working languages of the United Nations Secretariat. For this position, fluency in English is required and knowledge of Arabic is desirable. Note: &ldquo;Fluency&rdquo; equals a rating of &lsquo;fluent&rsquo; in all four areas (speak, read, write, and understand) and &ldquo;Knowledge of&rdquo; equals a rating of &lsquo;confident&rsquo; in two of the four areas.
</div></div><div><div>Additional Information
</div><div>Not available.
</div></div><div><div>No Fee
</div><div>THE UNITED NATIONS DOES NOT CHARGE A FEE AT ANY STAGE OF THE RECRUITMENT PROCESS (APPLICATION, INTERVIEW MEETING, PROCESSING, OR TRAINING). THE UNITED NATIONS DOES NOT CONCERN ITSELF WITH INFORMATION ON APPLICANTS&rsquo; BANK ACCOUNTS.</div></div></div></div>

Consultant, Research on the status of the Disability Inclusion in Saudi Arabia

Search 14+ Economist jobs near you this May. New roles added regularly across leading industries. Apply today.

14 economist jobs Near Me

Power Economist

Power Economist

Senior Economist, Device Economics

Sr. Principal Scientist, Stores Economics and Science

Business / Economics

Forecasting Analyst - AI Trainer

Consultant, Research on the status of the Disability Inclusion in Saudi Arabia