senior research scientist

Applied Research Associates, Inc

<p></p><div><p>ARA&rsquo;s IntraRisk Group is seeking a senior scientist to work with a multidisciplinary team to develop and implement engineering computer models for high wind hazards, structural response, and loss estimation. The successful candidate for this position will have a strong background in hurricane, flood, and/or tornado modeling and interest in using such models for insured loss estimation.</p>
<p>The IntraRisk Group is based in Raleigh, NC. Remote work may be considered for the right candidate.</p>
<p><b>What you will do as a senior scientist:</b></p>
<ul><li>Develop and use engineering computer codes such as wind/storm surge/wave hazard models and engineering fragility models for wind loading effects.</li>
<li>Process and interpret property insurance exposure data for input to HurLoss, ARA&rsquo;s hurricane catastrophe loss model.</li>
<li>Work with end users to understand how HurLoss can be used to support their catastrophe modeling needs.</li>
<li>Apply probability and statistics in engineering.</li>
<li>Lead multiple projects and interact with current and prospective clients.</li>
<li>Lead marketing/business development activities in one or more client areas.</li>
<li>Document work and write technical reports.</li>
</ul><p><b>Senior scientist required skills:</b></p>
<ul><li>Comprehensive understanding and use of building codes/analysis methods.</li>
<li>Strong problem-solving, oral, and written communication skills.</li>
<li>Ability to clearly communicate with collaborators and ask for assistance when needed.</li>
<li>Attention to detail and desire to learn from mentors.</li>
<li>Strong self-starter with the ability to pick up new technologies quickly.</li>
<li>Strong technical writing skills.</li>
<li>Agility, poise, focus, and communication skills are a must.</li>
</ul><p><b>Senior scientist position requirements:</b></p>
<ul><li>Bachelor&rsquo;s degree or higher in Civil/Structural Engineering, Atmospheric Science, Meteorology, or related field. Advanced degree preferred.</li>
<li>At least 8 years of relevant experience, including at least 2 years of experience in catastrophe modeling and property insurance risk modeling. Advanced degree may be considered in partial fulfillment of the experience requirement.</li>
<li>At least one course in computer programming and relevant experience in developing computer codes (e.g., FORTRAN, C, C++, and/or Python) for natural hazard risk assessment.</li>
<li>Candidates selected may be subject to a government security investigation and must meet the eligibility requirements for access to classified information.</li>
</ul><p><b>About us:</b></p>
<p>ARA is an employee-owned scientific and engineering company founded in Albuquerque, NM in 1979. ARA is known for providing technically superior solutions to complex and challenging problems in the physical sciences. We employ over 2,200 professionals and continue to grow. ARA offices throughout the U.S. and Canada provide a broad range of technical expertise in defense, civil, and health technologies, computer software, and simulation, systems analysis, environmental technologies, and testing and measurement.</p>
<p>The IntraRisk Group is an internationally recognized leader in the modeling and simulation of extreme natural events such as hurricanes, tornadoes, straight winds, and storm surge. We provide high wind risk assessment services for government agencies as well as the property insurance, nuclear power, offshore energy, and engineering design industries. To find out more about the IntraRisk Group, visit our website at: Natural Disaster Risk Assessment &amp; Consulting - ARA.</p>
<p>Our culture supports career advancement and rewards innovation, self-motivation, and technical excellence. We offer a highly competitive compensation and benefits package, including employee stock ownership, performance bonuses, and professional development.</p>
<p></p><p>Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities<br>
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.</p></div>

Senior Scientist

Stott and May

<div>
 <p>
  Senior Data Scientist
 </p>
 <p>
  <strong>
   Manufacturing | Azure, Databricks &amp; Microsoft Fabric
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Our manufacturing client is looking for a
  <strong>
   Senior Data Scientist
  </strong>
  to help build data-driven solutions that improve operations and support business decision-making. You'll work with cross-functional teams to develop predictive models, analyze manufacturing data, and deliver insights using a modern Microsoft technology stack.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Responsibilities
 </p>
 <ul>
  <li>
   Develop machine learning models and analytical solutions to solve business problems.
  </li>
  <li>
   Analyze manufacturing, operational, and supply chain data to identify trends and opportunities.
  </li>
  <li>
   Build predictive models for forecasting, optimization, and operational reporting.
  </li>
  <li>
   Work with business stakeholders to understand requirements and translate them into data science solutions.
  </li>
  <li>
   Collaborate with Data Engineers to prepare and transform data for modeling.
  </li>
  <li>
   Present findings and recommendations to technical and non-technical audiences.
  </li>
  <li>
   Support the deployment and ongoing improvement of machine learning models.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Required Skills
 </p>
 <ul>
  <li>
   5+ years of experience as a Data Scientist.
  </li>
  <li>
   Strong Python and SQL skills.
  </li>
  <li>
   Experience building and deploying machine learning models.
  </li>
  <li>
   Hands-on experience with
   <strong>
    Azure Databricks
   </strong>
   .
  </li>
  <li>
   Experience with
   <strong>
    Microsoft Fabric
   </strong>
   or other Microsoft analytics tools.
  </li>
  <li>
   Experience working with Azure cloud services.
  </li>
  <li>
   Strong understanding of statistics, predictive modeling, and data analysis.
  </li>
  <li>
   Excellent communication and stakeholder management skills.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Fully Remote
  </strong>
 </p>
 <p>
  <strong>
   12-month contract with possible extension
  </strong>
 </p>
 <p>
  <strong>
   40hr/week
  </strong>
 </p>
 <p>
  <strong>
   95-125/hourly W2 or LLC
  </strong>
 </p>
 <p>
  (There are
  <strong>
   no
  </strong>
  C2C options for this role)
 </p>
 <p>
  <br/>
 </p>
</div>


Senior Data Scientist

New York State Psychiatry Institute

<div><p><b>Job Title: Assistant Research Scientist</b></p><p><b>
Grade:</b> 15</p><p><b>
Salary:</b> $57,900-$69,341</p><p>
The Research Foundation for Mental Hygiene is seeking a qualified candidate to fill a full-time Assistant Research Scientist position</p><p>
in our neuroscience laboratory, in which rodent preparations are used to model mechanisms and treatment targets in mental illness.</p><p>
Circuit mechanisms of normal brain functions and how experiences change them are a focus.</p><p><b>
Duties and Responsibilities:</b></p><p>
The work focuses on neurobehavioral systems, using molecular genetic manipulations to probe neural cellular and circuit function and, ultimately, behavior depending on demands of a given experiment, research responsibilities will include varying combinations of the following:</p><ul><li>
Handling of research rodents, stereotaxic surgery and monitoring during recovery, behavioral testing, in vivo fiber
</li><li>photometry and electrophysiology, anatomic circuit tracing, neurohistology, microscopy, and data analysis.</li><li>
Experience with procedures and analysis of data utilizing genetically encoded biosensors and in vivo physiology is critical.</li><li>
Experience with vivo viral-mediated gene transfer and opto and chemo genetics is preferred. Familiarity with programming in</li><li>
Matlab and Python are important.</li></ul><p><br>
The candidate should be able to work on a flexible schedule, including some weekends and evenings.</p><p><b>
Minimum Qualifications:</b></p><ul><li>
Bachelor's degree and (1) year of professional research experience in an appropriate field, or 30 graduate credit hours leading to an advanced degree in an appropriate field may be substituted for the required experience</li></ul><p><b>
Preferred Qualifications:</b></p><ul><li>
Applicants will be expected to also have excellent organizational skills, keep detailed records, and aid others in the laboratory with data.</li></ul><p><b><br>
Work Location:</b> 1051 Riverside Drive, New York, NY 10032</p><p><b>
To Apply:</b> Submit an application through our website at https://rfmh.applicantpro.com/jobs/. Please note only applications submitted through our website will be considered.</p><p>
The Mission of the Research Foundation for Mental Hygiene, Inc. (RFMH) is to promote the mental health of all New Yorkers, with a focus on providing hope and supporting recovery for adults with serious mental illness and children with serious emotional disturbances. Applicants with lived mental health experience are encouraged to apply. RFMH is deeply committed to supporting underserved individuals, organizations, and communities. To this end, RFMH is focused on implementing activities and initiatives to reduce disparities in access, quality, and treatment outcomes for underserved populations. A critical component of these efforts is ensuring that RFMH is a diverse and inclusive workplace where all employees' unique attributes and skills are valued and utilized to support the mission of the Agency. RFMH is an equal opportunity/affirmative action employer.</p><p>
The Research Foundation is a private not-for-profit corporation and is not an agency or instrumentality of the State of New York. Employees of the Research Foundation are not state employees, do not participate in any state retirement system, and do not receive state fringe benefits. Excellent Benefits Package. Affirmative Action/Equal Opportunity Employer - Disabled/Veteran, 41 CFR 60-741.5(a) and 41 CFR 60-300.5(a) compliant.</p></div><p></p>

Assistant Research Scientist

Auburn University

<div>Pay Range: USD $73,090.00 - USD $278,210.00 /Yr. Overview:
<div><b>
This is a pooled posting. This posting will remain open for an extended period of time and selected applicants will be contacted as future staffing needs arise.</b></div><div></div><div><b><br>
This is a limited term appointment. Continuation of employment will be contingent upon the availability of funding.</b></div><div></div><div><b><br>
These positions will be located in Huntsville, AL</b></div><div></div><div><br>
Auburn University&rsquo;s Office of the Senior Vice President for Research and Economic Development and the Applied Research Institute (ARI) is seeking candidates for multiple Principal Research Scientist/Engineer positions in anticipation of securing contract funding across a broad range of engineering and scientific disciplines. Areas of focus may include modeling and simulation; systems engineering and integration; advanced and additive manufacturing; autonomous systems: robotics; electromagnetics, mechanical and electrical systems design, thermal and structural analysis, materials science and engineering; propulsion systems; and multi-program project management supporting government and industry sponsors.</div><div><br>
These positions are responsible for conducting advanced research to investigate, evaluate, and apply engineering and scientific principles. Incumbents will lead and contribute to innovative research initiatives, generate new knowledge, and support the development of practical solutions to complex technical challenges aligned with ARI&rsquo;s mission.</div><br>
Responsibilities:
<ul><li><div>
Leads research and development projects requiring the applications of professional engineering or scientific practices and principles.</div></li><li><div>
Provides technical contributions and develops concepts that lead to new leading-edge technologies/techniques/methods.</div></li><li><div>
Provides in-depth technical advice to other areas.</div></li><li><div>
Operates, maintains, and repairs specialized equipment.</div></li><li><div>
Advises faculty, postdocs, students, and staff with design, modification, prototype, processes, analysis procedures, and other engineering solutions.</div></li><li><div>
Designs and fabricates equipment, materials, systems utilizing engineering and scientific practices and principles.</div></li><li><div>
Ensures supplies are available and operational for use in projects.</div></li><li><div>
May manage local computer systems for laboratory functionality.</div></li><li><div>
Develops proposals, budgets, schedules and progress reports and presents results.</div></li><li><div>
Evaluates findings to develop new concepts, equipment, or processes</div></li><li><div>
Prepares technical reports for long and short-range planning.</div></li></ul>
Qualifications:
<ul><li><div>
PhD from an accredited institution Engineering, science, management information science (MIS), or related technical field.<br>
<ul><li>Level I: No experience required</li><li>Level II: 2 years of professional experience</li><li>Level III: 4 years of professional experience</li><li>Level IV: 6 years of professional experience</li><li>Level V: 8 years of professional experience</li><li>Level VI: 10 years of professional experience</li><li>Level VII:12 years of professional experience</li></ul></div><div>
Experience for Levels II-VII should be in engineering and research practices and principles or science-based programs.</div><div>
Candidates with a Bachelor&rsquo;s or Master&rsquo;s degree may substitute relevant experience toward the PhD requirement at the rate of two (2) years relevant experience per year of required education</div></li></ul>
Minimum Knowledge, Skills, and Abilities:
<ul><li>Knowledge of research principles, laboratory techniques, and safety procedures.</li><li>
Fully competent in all conventional aspects of subject matter or functional areas of assignments.</li></ul>
Why Work at Auburn:
<ul><li><b>Life-Changing Impact: </b>Our work changes lives through research, instruction, and outreach, making a lasting impact on our students, our communities, and the world.</li><li><b>
Culture of Excellence: </b>We are committed to leveraging our strengths, resources, collaboration, and innovation as a top employer in higher education.</li><li><b>
We&rsquo;re Here for You: </b>Auburn offers generous benefits, educational opportunities, and a culture of support and work/life balance.</li><li><b>
Sweet Home Alabama: </b>The Auburn/Opelika area offers southern charm, vibrant downtown scenes, top-ranked schools, and easy access to Atlanta, Birmingham, and the Gulf of Mexico beaches.</li><li><b>
A Place for Everyone: </b>Auburn is committed to fostering an environment where all faculty, staff, and students are welcomed, valued, respected, and engaged.</li><li><b>
Ready to lead and shape the future of higher education? Apply today! War Eagle!
</b></li></ul>Equal Opportunity Compliance Statement: It is our policy to provide equal employment and education opportunities for all individuals without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, gender expression, pregnancy, age, disability, protected veteran status, genetic information, or any other classification protected by applicable law. Please visit the Office of Equal Opportunity Compliance's website to learn more.</div>

Principal Research Scientist/Engineer- Huntsville (Pool)

Rensselaer Polytechnic Institute

<p></p><div><p>Who we are</p>
<p><b>Why Rensselaer?</b> Join Rensselaer Polytechnic Institute's dynamic global community of changemaker including some of the world&rsquo;s leading researchers, students, alumni, and faculty who ask the important questions and devise the scientific and technological innovations that make the world a better place for all of humanity.</p>
<p>Nestled on a beautiful 275-acre campus in upstate NY, Rensselaer is home to five schools, 32 research centers, three makerspaces, an observatory, one of the world&rsquo;s fastest supercomputers, and IBM's Quantum System One - the first university-based quantum computer in the world.</p>
<div><p>Over the past decade, the research portfolio at Rensselaer has been completely transformed. As a top-tier technological research university, Rensselaer has invested in strategic partnerships, talented researchers, and sophisticated research platforms to address the most pressing global challenges of the 21st century.</p>
<p>Today, the Rensselaer research enterprise comprises $104 million in annual research expenditures, supports a diverse range of research centers and platforms, and ensures the advancement of interdisciplinary research in six key areas:</p>
<ul><li>Life Science &amp; Biotechnology (Bioscience, Bio Manufacturing, Diagnosis)</li>
<li>Future Computing (Data / AI, High Performance Computing, Quantum, Bits/Neurons/Qubits)</li>
<li>Energy, Environment, and Sustainability (Energy Solutions, Built Environment, Freshwater, Sustainability)</li>
<li>Materials &amp; Manufacturing (Mat. Discovery, Mat. Processing, Advanced Manufacturing, Robotics)</li>
<li>Microelectronics (Mat. &amp; Metrology, Hardware Co-design, Computational Microelectronics, Hetero-integration)</li>
<li>Fundamental Knowledge (AstroX, Origins, Cognitive &amp; Social, Financial)</li>
</ul><p>The cross-disciplinary research leverages a convergence of expertise in materials, advanced manufacturing, and control systems, emphasizing synergistic integration of these fields to derive system-level solutions to complex technological challenges. The faculty's research interests encompass a broad spectrum of areas, including but not limited to energy materials, nanomaterials, nanocomposites, nanoscale heat transfer, thermoelectrics, nanomechanics, fiber-reinforced composites, additive manufacturing, nonlinear control systems, micromachining, spaceflight dynamics and control, tribology, nonlinear dynamics, nuclear materials, biomaterials, smart and adaptive materials, as well as computational approaches in nanomechanics and biomechanics.</p>
</div><div><div><div><p>The Office for Research collaborates with important external partners in the federal and state government, foundations and in industry to expand the impact our work and to support our world-class researchers as they improve lives, advance society, and change the world.</p>
</div></div></div><div><p>The mission of the Office for Research is to drive and support the Research Enterprise, increase Rensselaer impact and visibility, and communicate to the national and international community that Rensselaer researchers are defining the frontiers of discovery and innovation.</p>
</div><p>Rensselaer faculty and alumni include more than 145 National Academy members, six members of the National Inventors Hall of Fame, six National Medal of Technology winners, five National Medal of Science winners, # astronauts, and a Nobel Prize winner in Physics. With nearly 200 years of experience advancing scientific and technological knowledge, Rensselaer remains focused on addressing global challenges with a spirit of ingenuity and collaboration. To learn more, please visit www.rpi.edu.</p>
<p><b>Are you ready to change the world? Apply now!</b></p>
<p>Job Summary</p>
<p>Some of the areas that may be hiring researchers and research support positions in the area of Materials &amp; Manufacturing include:</p>
<ul><li>Materials Discovery</li>
<li>Materials Processing</li>
<li>Advanced Manufacturing</li>
<li>Robotics</li>
</ul><p>Note: The availability of positions is dependent on the availability of sponsored funding. Not all areas will have all positions, and some areas may be fully staffed.</p>
<p>Qualifications</p>
<ul><li>Postdoctoral Research Associate -
<ul><li>Candidates must have finished all requirements for their PhD or foreign equivalent at the beginning of their appointment</li>
</ul></li><li>Research Associate or (Sr.) Research Scientist -
<ul><li>Opportunities exist for those with a relevant advanced degree, publication record, and/or significant additional years of paid professional experience in a related position. Individuals who possess these qualifications and who have the potential to, or a demonstrated track record of being able to build collaborative external partnerships are especially desirable</li>
</ul></li><li>(Sr.) Research Specialist -
<ul><li>Positions require a relevant bachelor's degree / foreign equivalent or higher</li>
</ul></li><li>(Sr.) Research Engineer -</li>
<li>Research Assistant -
<ul><li>candidates must possess an associate's degree / foreign equivalent or relevant combination of experience, education and training</li>
</ul></li></ul><p>Pay transparency data:</p>
<p><b>Pay transparency disclosure:</b> The actual salary/wage that is provided to selected candidates will be determined based on factors that include the available budget, internal equity, and the needs of the department, and the final candidate&rsquo;s qualifications, experience, education, and other job-related credentials. The following hiring ranges are provided as Rensselaer&rsquo;s good faith estimate of the expected hiring range at the time of posting.</p>
<p>Postdoctoral Research Associate: $62,354 - $65,000 / yr
<br>
Research Associate: $64,000 - $66,000 / yr
<br>
Research Scientist: $66,000 - $95,000 / yr
<br>
Sr. Research Scientist: $80,000 - $138,000 / yr
<br>
***</p>
<p>Research Specialist $18.00 - $26.44 / hr
<br>
Sr. Research Specialist $62,354 - 66,000 / yr
<br>
***</p>
<p>Research Engineer: $66,000 - $86,000 / yr
<br>
Sr. Research Engineer: $87,000 &ndash; $95,000 / yr
<br>
***</p>
<p>Research Assistant: $16.00 - $22.00 / hr</p>
<p>Application instructions</p><p><br>
</p><p>Follow the on-screen prompts to create an application. Please be ready to upload any required documents, such as your resume and cover letter</p>
<p>If you need assistance with the online application process, please contact careers@rpi.edu</p>
Job Posted Date
<p>Applications will be accepted until the position is filled.</p>
<p>Total Compensation and Benefits Information</p>
Rensselaer&rsquo;s Total Compensation Program is designed to provide stable pay growth, a comprehensive and affordable benefits package, and a comprehensive and affordable retiree medical and prescription plan. Rensselaer is recognized locally and nationally for the depth and breadth of its compensation and benefits program. Our goal is to provide you and your family with a comprehensive health and welfare program as an umbrella of financial security and protection during your employment. For more information, please visit Benefits | Human Resources (rpi.edu).<div><br>
</div><div><p><i>Rensselaer Polytechnic Institute is committed to the cultivation of a community that is welcoming, inclusive, and above all values learning. We welcome candidates who bring a variety of perspectives to Rensselaer Polytechnic Institute's work and campus communities. Rensselaer Polytechnic Institute </i><i>is an Equal Opportunity Employer.</i></p>
<p><i>All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation or gender identity, national origin, disability status, protected veteran status, or other characteristic protected by law.</i></p></div><br>
<p></p><p>#LI-DNI</p></div><p></p>

Materials & Manufacturing Researchers

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Here's the job description with causal ML woven in:<br>
<br>
We are looking for a talented, organized, and customer-focused applied researcher to join our Pricing Optimization science group, with a charter to measure, refine, and launch customer-obsessed improvements to our algorithmic pricing and promotion models across all products listed on Amazon.<br>
<br>
This role requires an individual with exceptional machine learning modeling and architecture expertise &mdash; particularly in deep learning, neural networks, and transformer-based architectures applied to price prediction and forecasting problems. Equally important is deep expertise in causal machine learning &mdash; including causal inference, treatment-effect estimation, and experimentation methods (e.g., uplift modeling, double/debiased machine learning, instrumental variables, and A/B and quasi-experimental design) &mdash; to isolate the true impact of pricing and promotion decisions on customer behavior and business outcomes. The ideal candidate brings a strong foundation in applied statistics and probabilistic modeling, excellent cross-functional collaboration skills, business acumen, and an entrepreneurial spirit.<br>
<br>
We are looking for an experienced innovator who is a self-starter, comfortable with ambiguity, demonstrates strong attention to detail, and has the ability to work in a fast-paced and ever-changing environment.<br>
<br>
Key job responsibilities<br>
See the big picture. Understand and influence the long-term vision for Amazon's science-based competitive, perception-preserving pricing techniques. Develop and advance price prediction models leveraging deep learning frameworks, transformer architectures, and advanced statistical methods to drive pricing accuracy at scale.<br>
<br>
Build strong collaborations. Partner with product, engineering, and science teams within Pricing &amp; Promotions to deploy machine learning price estimation and error correction solutions at Amazon scale. Design and implement neural network-based architectures &mdash; including sequence models and transformers &mdash; for large-scale price prediction and optimization.<br>
<br>
Stay informed. Establish mechanisms to stay up to date on the latest scientific advancements in deep learning, transformer architectures, applied statistics, neural network design, probabilistic forecasting, and multi-objective optimization techniques. Identify opportunities to apply them to relevant Pricing &amp; Promotions business problems.<br>
<br>
Keep innovating for our customers. Foster an environment that promotes rapid experimentation, continuous learning, and incremental value delivery. Leverage statistical rigor and modern deep learning approaches to validate hypotheses and drive measurable pricing improvements.<br>
<br>
Successfully execute &amp; deliver. Apply your exceptional technical machine learning expertise &mdash; including deep neural networks, attention-based models, and applied statistical analysis &mdash; to incrementally move the needle on some of our hardest pricing problems.<br>
<br>
A day in the life<br>
We are hiring a Sr. Applied Scientist to drive our pricing optimization initiatives. We drive cross-domain and cross-system improvements through:<br>
<br>
<ul><li>shape and extend our RL optimization platform - a pricing centric tool that automates the optimization of various system parameters and price inputs.</li><li>Error detection and price quality guardrails at scale.</li><li>Identifying opportunities to optimally price across systems and contexts (marketplaces, request types, event periods)</li></ul><br>
Price is a highly relevant input into Stores architectures; this role creates the opportunity to drive extremely large impact (measured in Bs not Ms), but demands careful thought and clear communication.<br>
<br>
About the team<br>
The Pricing Optimization science group builds and refines Amazon's algorithmic pricing and promotion models at scale. Our team combines expertise in deep learning, transformer architectures, applied statistics, and probabilistic forecasting to develop price prediction systems that directly impact the customer experience. The team also brings hands-on experience with causal modeling and inference &mdash; including uplift modeling and treatment effect estimation &mdash; to rigorously measure the impact of pricing decisions on customer behavior and business outcomes. We partner closely with product, engineering, and business teams to take solutions from research through production deployment.</div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>4+ years of applied research experience</li><li>3+ years of building machine learning models for business application experience</li><li>PhD, or Master's degree and 6+ years of applied research experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with neural deep learning methods and machine learning</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.</li><li>Experience with large scale distributed systems such as Hadoop, Spark etc.</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, WA, Seattle - 167,100.00 - 226,100.00 USD annually</div><p></p>

Sr. Applied Scientist, Pricing Science

Al-Futtaim

<div><p><b>Job Requisition ID: </b>180008</p>
<p>Established in the 1930s as a trading business, Al-Futtaim Group today is one of the most diversified and progressive, privately held regional businesses headquartered in Dubai, United A&rdquo;rab Emirates. Structured into five operating divisions; automotive, financial services, real estate, retail and healthcare; employing more than 35,000 employees across more than 20 countries in the Middle East, Asia and Africa, Al-Futtaim Group partners with over 200 of the world's most admired and innovative brands. Al-Futtaim Group&rsquo;s entrepreneurship and relentless customer focus enables the organisation to continue to grow and expand; responding to the changing needs of our customers within the societies in which we operate.</p>
<p>By upholding our values of respect, excellence, collaboration and integrity; Al-Futtaim Group continues to enrich the lives and aspirations of our customers each and every day.</p><p><br>
<b>
Overview Of The Role:</b><br>
The Senior Data Scientist will lead the development of advanced machine learning models to optimize demand forecasting and pricing strategies, driving increased profitability and customer satisfaction. This role requires a high level of expertise in Generative AI, MLOps, and cross-functional collaboration to ensure the seamless integration of data-driven solutions within the business. Success in this role is measured by the accuracy and robustness of predictive models, the optimization of pricing strategies, and the overall enhancement of customer analytics.</p><p><br>
<b>
What You Will Do:</b></p>
<ul>
<li>Design, develop, and deploy demand forecasting models using traditional and machine learning techniques like ARIMA, XGBoost, and LSTM.</li>
<li>Leverage Generative AI (GenAI) to enhance demand forecasting accuracy by simulating future demand scenarios and improving model predictions.</li>
<li>Implement dynamic pricing models using advanced algorithms to optimize pricing strategies based on demand predictions, inventory levels, and competitor data.</li>
<li>Analyze customer behavior by applying clustering algorithms and predicting customer lifetime value (CLV) with machine learning models to drive personalized pricing strategies.</li>
<li>Monitor, evaluate, and fine-tune model performance using metrics such as MAE, RMSE, and Precision/Recall, continuously improving model accuracy and robustness.</li>
<li>Apply MLOps practices, including version control, model deployment pipelines, and automated testing, to ensure seamless integration, monitoring, and scaling of models across environments.</li>
<li>Collaborate with cross-functional teams, including marketing, product, and sales, to ensure alignment between forecasting models and business objectives.</li>
<li>Deploy and scale forecasting and pricing models on Azure cloud platform, leveraging CI/CD pipelines and model monitoring tools for real-time performance tracking and proactive issue resolution.</li></ul><p><br>
<br>
<b>Required Skills To Be Successful:</b></p>
<ul>
<li>Advanced machine learning model development and optimization skills.</li>
<li>Expertise in Generative AI techniques for demand forecasting.</li>
<li>Proficiency in MLOps practices and model deployment pipelines.</li>
<li>Strong communication and collaboration abilities with cross-functional teams.</li></ul><br>
<p><br>
<b>What Qualifies You For The Role:</b></p>
<ul>
<li>Master's degree in Statistics, Data Science, Machine Learning, Mathematics, Computer Science, or a related quantitative field.</li>
<li>10+ years of experience in data science, with at least 5+ years focused on demand forecasting, price optimization, and customer analytics.</li>
<li>Strong hands-on experience with ARIMA, XGBoost, LSTM, and OR models.</li>
<li>Proficiency in Python, SQL, Databricks, and cloud platforms (Azure, GCP).</li></ul><p></p><p><br>
We&rsquo;re here to provide excellent service but a little help from you can ensure a five-star candidate experience from start to finish.</p><br>
<p></p>
<p>Before you click &ldquo;apply&rdquo;: Please read the job description carefully to ensure you can confidently demonstrate <b>why</b> this opportunity is right for you and take the time to put together a well-crafted and personalised CV to further boost your visibility. Our global Talent Acquisition team members are all assigned to specific businesses to ensure that we make the best matches between talent and opportunities. We not only consider the requisite compatibility of skills and behaviours, but also how candidates align with our Values of Respect, Integrity, Collaboration, and Excellence.</p><br>
<p></p>
<p>As part of our candidate experience promise, we also want to make ourselves available to you throughout the application process. We make every effort to review and respond to every application.</p></div><p></p>

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