machine learning scientist

Tower Hill Insurance Group

<div>Description:
<p>
Tower Hill Insurance Group has an exciting opportunity for a talented <b>Machine Learning Scientist</b> who enjoys intellectual challenges and is seeking a rewarding career with a company that is experiencing growth. Not only is Tower Hill Insurance one of Florida's most trusted names in homeowners insurance, but it offers great opportunities for career advancement and personal growth, along with very competitive benefits and rewards. We are growing at a consistent pace and seek professional individuals with drive, team mentality, who want to make an impact, and are committed to a long-term career in the insurance industry.
</p><p>The Machine Learning (ML) Scientist develops actionable insights and recommendations in support of business objectives using in-house and external data sources. This position utilizes problem-solving skills to collaborate with business and data engineering professionals for timely and reliable delivery of data solutions. This role leverages the team&rsquo;s deep expertise in data engineering, data science, advanced analytics, and insurance industry data to aid business partners in risk management, drive efficiencies, and improve customer experience.</p><p><b>
ESSENTIAL DUTIES AND RESPONSIBILITIES</b></p><ul><li>
Partner with business stakeholders to scope, structure, and drive analytical projects from requirements through delivery. Present findings and recommendations clearly to both technical and non-technical audiences.</li><li>
Source, validate, and integrate structured and unstructured data across platforms. Conduct exploratory data analysis to reveal data quality issues and identify opportunities.</li><li>
Analyze business trends, time series patterns, model performance, and causal relationships using advanced statistical and machine learning / deep learning methods to inform strategic decisions.</li><li>
Design, build, and deploy machine learning / deep learning models &mdash; including NLP, computer vision, and LLM-based solutions &mdash; from rapid prototyping through production deployment.</li><li>
Create visualizations, dashboards, and reports that communicate analytical and model results to support decision-making across the organization.</li><li>
Own and maintain recurring analytical, reporting, and model-monitoring processes.</li><li>
Document data pipelines, model architecture, analytical frameworks, and deliverables for knowledge sharing across technical and non-technical teams.</li></ul><p><b>
ADDITIONAL DUTIES</b></p><p>
This job description reflects the general duties considered necessary to describe the essential functions of the job and should not be considered a complete description of all the work requirements and expectations of the position. Tower Hill reserves the right to assign duties not listed herein as necessary to accomplish the goals of the organization.</p>
Requirements:
<p>
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.</p><p><b>
EDUCATION</b></p><p>
High School Diploma or GED required. Bachelor&rsquo;s Degree in Computer Science, Statistics, Mathematics, Engineering, or related field required. Master&rsquo;s Degree or higher preferred.</p><p><b>
EXPERIENCE</b></p><p>
Minimum of five (5) years of relevant work experience in machine learning and/or deep learning required, including the following:</p><ul><li>
Advanced Proficiency in Python.</li><li>
Demonstrated ability to build and deploy ML models using frameworks such as scikit-learn, PyTorch, Hugging Face Transformers.</li><li>
Experience working with cloud data platforms and warehouses (e.g., Snowflake, PostgreSQL) and cloud storage (e.g., S3).Strong written and verbal communication skills with the ability to present complex technical concepts and insights to non-technical stakeholders.</li><li>
Proven ability to work independently, drive projects forward with minimal oversight, and execute in stakeholder-facing environments.</li></ul><p>
The following work experience is highly preferred:</p><ul><li>
Experience with deep learning, NLP, computer vision, or large language model development and deployment.</li><li>
Hands-on experience with statistical methods (hypothesis testing, regression, causal inference), exploratory techniques (clustering, PCA), anomaly detection, forecasting, and time series analysis.</li><li>
Experience with data processing at scale using PySpark, Pandas, or similar libraries to clean, transform, and integrate data from multiple sources.</li><li>
Experience with visualization tools such as Power BI, matplotlib, seaborn, or plotly.</li><li>
Familiarity with API development and deployment using frameworks such as FastAPI.</li><li>
Experience with AWS services such as SageMaker, S3, Lambda, or Glue.</li><li>
Property and casualty insurance or financial services industry work experience including regulatory standards and best practices is a plus.</li></ul><p><b>
CERTIFICATIONS</b></p><p>
AWS Certifications in AI or ML preferred.</p><p><b>
LICENSES</b></p><p>
N/A</p><p></p><ul><li><br>
Tower Hill currently operates in a hybrid work environment and may consider candidates located outside of our established office locations. We are presently open to hiring in the following states <b>CT, FL, GA, IA, IN, KY, MI, MS, NC, OH, SC, TN, TX, UT, VA, WV.</b></li></ul><p>
Applicants must be legally authorized to work in the U.S. without the need for current or future visa sponsorship.
</p><p><b><i>Preferred work arrangement hybrid on-site, but remote candidates will be considered based on qualifications and experience.</i></b></p><p><b>
BENEFITS</b></p><ul><li>
Medical</li><li>
Dental</li><li>
Vision</li><li>
Life &amp; Disability Insurance</li><li>
401(k)</li><li>
Health Savings Account</li><li>
Accident, Critical Illness and Hospital Indemnity</li><li>
Pet insurance</li><li>
Paid time off &amp; Holiday pay</li></ul><p>
We offer competitive pay and benefits, and well-being programs to support you and your family. For more information about our company, careers and Total Compensation visit: Total Compensation - Tower Hill Insurance (thig.com)</p><p>
Tower Hill Insurance is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.</p><p>
Tower Hill Insurance is committed to working with and providing reasonable accommodation for individuals with disabilities. If you need reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to hrdepartment@thig.com and let us know the nature of your request and your contact information.</p><p>
All applicants will receive an acknowledgement that their application has been received. Candidates will not receive status updates regarding their application; however, those candidates selected for further consideration will be contacted by Human Resources.</p></div>

Machine Learning Scientist - Remote

StackAdapt

<div>
 <p>
  StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels.
 </p>
 We are searching for a talented Applied Machine Learning Scientist to join our engineering team as we continue to expand our data science efforts. Our platform is connected to thousands of publishers and advertisers worldwide and as a result, we're dealing with millions of requests each second, making billions of decisions. We utilize the latest technologies to solve challenges in traffic, data storage, machine learning, and scalability.&nbsp;Want to learn more about our Data Science Team: https://alldus.com/ie/blog/podcasts/aiinaction-ned-dimitrov-stackadapt/Learn more about our team culture here: https://www.stackadapt.com/careers/data-science&nbsp;Watch our talk at Amazon Tech Talks: https://www.youtube.com/watch?v=lRqu-a4gPuU&nbsp;
 <strong>
  StackAdapt is a Remote First company
 </strong>
 , and we are open to candidates located anywhere in North America for this position.&nbsp;
 <strong>
  This role will remain open until February 20, 2026
 </strong>
 . Applications will be reviewed on a rolling basis, and the posting will close once the deadline is reached.What you'll be doing:
 <ul>
  <li>
   Innovate ML algorithms to maximize ROI and advertising performance. This ranges from creating entirely new algorithms, to improvements on state-of-the art methods, to development using a deep understanding of classic methods
  </li>
  <li>
   Write production code, sometimes collaborating with Data Engineers, to implement the novel ML algorithms
  </li>
  <li>
   Prototype potential algorithms and pipelines, test them using historical data, and iterate to modify based on insights
  </li>
 </ul>
 What you'll bring to the table:
 <ul>
  <li>
   Have a Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related field, with dual degrees a plus.
  </li>
  <li>
   Have the ability to take an ambiguously defined task, and break it down into actionable steps
  </li>
  <li>
   Have a comprehensive understanding of statistics, optimization and machine learning
  </li>
  <li>
   Are proficient in coding, data structures, and algorithms
  </li>
  <li>
   Enjoy working in a friendly, collaborative environment with others
  </li>
 </ul>
 StackAdapter's Enjoy:
 <ul>
  <li>
   Highly competitive salary
  </li>
  <li>
   Retirement/ 401K/ Pension Savings globally
  </li>
  <li>
   Competitive Paid time off packages including birthday's off!
  </li>
  <li>
   Access to a comprehensive mental health care program
  </li>
  <li>
   Health benefits from day one of employment
  </li>
  <li>
   Work from home reimbursements
  </li>
  <li>
   Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto
  </li>
  <li>
   Robust training and onboarding program
  </li>
  <li>
   Coverage and support of personal development initiatives (conferences, courses, books etc)
  </li>
  <li>
   Access to StackAdapt programmatic courses and certifications to support continuous learning
  </li>
  <li>
   An awesome parental leave program
  </li>
  <li>
   A friendly, welcoming, and supportive culture
  </li>
  <li>
   Our social and team events!
  </li>
 </ul>
 <p>
  <em>
   Please note: Benefits and perks may vary depending on your country of employment and the nature of your engagement. In locations where StackAdapt does not have a legal entity, employment and benefits are administered in accordance with local regulations and partner policies.
  </em>
 </p>
 <em>
  StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you&rsquo;re comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know.
 </em>
 &nbsp;
 <em>
  We use artificial intelligence (AI) to streamline the resume reviews of candidates and assess their fit based on the criteria outlined in the job posting. We do not use AI to make any final hiring or interview decisions.
 </em>
 &nbsp;
 <strong>
  About StackAdapt
 </strong>
 &nbsp;We've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded:&nbsp;G2 Top Software for 2026
 <br/>
 2026 Best Workplaces&trade; for Young Talent and in Canada by Great Place to Work&reg;
 <br/>
 #1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising&nbsp;To learn more about our privacy practices, please see our Privacy Policy.&nbsp;
 <span>
 </span>
</div>


Applied Machine Learning Scientist (Remote)

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
The Artificial General Intelligence (AGI) team is seeking a dedicated, skilled, and innovative Applied Scientist with a robust background in machine learning, statistics, quality assurance, auditing methodologies, and automated evaluation systems to ensure the highest standards of data quality, to build industry-leading technology with Large Language Models (LLMs) and multimodal systems.<br>
<br>
Key job responsibilities<br>
As part of the AGI team, an Applied Scientist will collaborate closely with core scientist team developing Amazon Nova models. They will lead the development of comprehensive quality strategies and auditing frameworks that safeguard the integrity of data collection workflows. This includes designing auditing strategies with detailed SOPs, quality metrics, and sampling methodologies that help Nova improve performances on benchmarks. The Applied Scientist will perform expert-level manual audits, conduct meta-audits to evaluate auditor performance, and provide targeted coaching to uplift overall quality capabilities. A critical aspect of this role involves developing and maintaining LLM-as-a-Judge systems, including designing judge architectures, creating evaluation rubrics, and building machine learning models for automated quality assessment. The Applied Scientist will also set up the configuration of data collection workflows and communicate quality feedback to stakeholders. An Applied Scientist will also have a direct impact on enhancing customer experiences through high-quality training and evaluation data that powers state-of-the-art LLM products and services.<br>
<br>
A day in the life<br>
An Applied Scientist with the AGI team will support quality solution design, conduct root cause analysis on data quality issues, research new auditing methodologies, and find innovative ways of optimizing data quality while setting examples for the team on quality assurance best practices and standards. Besides theoretical analysis and quality framework development, an Applied Scientist will also work closely with talented engineers, domain experts, and vendor teams to put quality strategies and automated judging systems into practice.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience implementing algorithms using both toolkits and self-developed code</li><li>Have publications at top-tier peer-reviewed conferences or journals</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, MA, Boston - 136,000.00 - 184,000.00 USD annually<br>
USA, WA, BELLEVUE - 136,000.00 - 184,000.00 USD annually</div><p></p>

Applied Scientist, Artificial General Intelligence, AGI Data Services

Elder Research

<div>
 <strong>
  Job Title: Data Scientist
  <br/>
  <br/>
 </strong>
 <strong>
  Workplace: Washington DC Metro Area - Remote
 </strong>
 (candidates MUST BE located in the National Capital Region - DMV)
 <br/>
 <br/>
 <strong>
  Clearance Required:
 </strong>
 a
 <strong>
  TS
 </strong>
 or
 <strong>
  CBP BI
 </strong>
 or
 <strong>
  DHS Suitability
 </strong>
 clearance adjudicated within the past 4 years
 <br/>
 <br/>
 <strong>
  Position Overview
  <br/>
  <br/>
 </strong>
 Supports U.S. Customs and Border Protection in the Washington DC area. As a Data Scientist, with little or no supervision, apply expert knowledge in statistical analysis, complex data mining, and artificial intelligence to make value out of data. Provide consulting relating to the data mining and analysis of data from a range of sources to transform raw data into concise and actionable insights. Design and implement data-driven solutions, with specific focus on advanced analytical methods, data models, and visualizations. Develop quantitative simulations and models to provide descriptive and predictive analytics solution recommendations. Identify trends and problems through complex big data analysis. Maintain current in emerging tools and techniques in machine learning, statistical modeling, and analytics.
 <br/>
 <br/>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   MUST HAVE Six (6) years of relevant experience in applied research, big data analytics, statistics, applied mathematics, data science, computer science, operations research or other closely related other quantitative or mathematical discipline. At least three (3) years of direct experience in machine learning.
  </li>
  <li>
   Must have a Advanced Degree (Masters or PhD) in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related other quantitative or mathematical discipline. A PhD degree may be substituted for up to three (3) years of relevant experience.
  </li>
  <li>
   Demonstrates knowledge of data mining methods, databases, data visualization and machine learning.
  </li>
  <li>
   Ability to communicate analysis techniques, concepts and products.
  </li>
  <li>
   Ability to develop data-driven solutions, data models, and visualizations
  </li>
  <li>
   Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Experience And Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Expertise using Qlik to embed visualizations into webpages
  </li>
  <li>
   Familiarity with Databricks or similar cloud-based distributed database technologies
  </li>
  <li>
   Familiarity with PySpark and Python
  </li>
  <li>
   Comfortable developing complex SQL queries to extract, transform, and load data
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Elder Research, Inc
  <br/>
  <br/>
 </strong>
 <strong>
  People Centered. Data Driven
  <br/>
  <br/>
 </strong>
 Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately.
 <br/>
 <br/>
 Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong team work.
 <br/>
 <br/>
 Elder Research believes in continuous learning and community - each week the entire company attends a &ldquo;Tech Talk&rdquo; and each office location provides lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives.
 <br/>
 <br/>
 Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
 <br/>
 <br/>
 Elder Research is a Government contractor and many of our positions require US Citizenship.
</div>


Data Scientist (Remote)

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Amazon is investing heavily in building a world-class advertising business, and we are responsible for defining and delivering a collection of advertising tools and products that drive discovery and Advertiser success. Our products are strategically important to our Retail and Marketplace businesses, driving long-term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative, and fun-loving with an entrepreneurial spirit and bias for action.<br>
<br>
The Marketing Effectiveness &amp; Attribution Science team develops causal inference and machine learning systems to measure the impact of marketing programs across Amazon's advertising ecosystem. We build production-grade attribution models that help business teams understand what's working, optimize resource allocation, and drive advertiser growth. Our work sits at the intersection of econometrics, scalable ML systems, and high-stakes business decisions.<br>
<br>
As a Data Scientist on this team, you will own end-to-end modeling pipelines &mdash; from problem formulation and experimental design to model development, productionization, and stakeholder communication.<br>
<br>
Major responsibilities include:<br>
<br>
Translate / Interpret:<br>
<br>
Partner with cross-functional teams to translate business questions into rigorous causal inference problems<br>
Design observational studies and quasi-experiments to measure marketing effectiveness when traditional A/B tests are infeasible<br>
Work with data engineering to instrument new data pipelines when existing data cannot answer the causal question<br>
<br>
Measure / Quantify / Expand:<br>
<br>
Own and evolve production attribution models across multiple marketing channels<br>
Build and maintain causal inference pipelines using methods such as Difference-in-Differences, Synthetic Control, Double Machine Learning, and Media Mix Models<br>
Develop scalable PySpark and Python codebases that process large-scale event data<br>
Continuously improve model accuracy through feature engineering, heterogeneity analysis, and sensitivity testing<br>
<br>
Explore / Enlighten:<br>
<br>
Investigate anomalies in model outputs and deep-dive to identify root causes<br>
Develop automated data quality checks and model diagnostics<br>
Research and prototype next-generation measurement methods<br>
<br>
Make Decisions / Recommendations:<br>
<br>
Present findings to senior leadership with clear recommendations<br>
Build dashboards and self-service tools that enable stakeholders to explore results independently<br>
Write production-quality Python code for data analysis, model training, and result publishing</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience</li><li>2+ years of data scientist experience</li><li>3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience</li><li>Bachelor's degree</li><li>Experience applying theoretical models in an applied environment</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in Python, Perl, or another scripting language</li><li>Experience in a ML or data scientist role with a large technology company</li><li>Knowledge of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, 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 - 136,000.00 - 184,000.00 USD annually</div><p></p>

Data Scientist, Advertising, AMPI Measurement

ICR, Inc.

<div><div><b>Bayesian Statistician (Data Scientist)</b><br>
Aurora, CO</div>
<div></div><div>Applications will be accepted on an ongoing basis.</div><br>
<div><br>
<br>
ICR has opportunities available for experienced and motivated Data Scientists with a Bayesian statistics background.<br>
<br>
<b>Essential Job Responsibilities</b><br>
<br>
This Data Scientist will be expected to:</div>
<ul><li>Work independently on complex technical tasks that require in-depth data analysis methodologies and data/information collection</li>
<li>Develop unique technical solutions for applications in the intelligence field</li>
<li>Participate as a member of a multidisciplinary team to analyze and satisfy customer requirements</li>
<li>Develop, implement, validate, document, and present findings of specialized analysis software tools and models as required</li>
<li>Effectively handle concurrent technical tasks with conflicting priorities</li>
<li>Approach difficult problems with enthusiasm and creativity</li>
<li>Have the ability to change focus when necessary</li>
<li>Travel (up to 10%)</li>
</ul>
<div><br>
<b>Required Skills and Qualifications</b></div>
<ul><li>Active Top Secret Security Clearance with SSBI and SCI eligibility.</li>
<li>Experience with Bayesian statistics and time series analysis</li>
<li>Masters Degree in statistics with a minimum of Two (2) years of professional experience or PhD in statistics or related field
</li><li>Experience with computational analysis tools and developing software with at least one of the following programing language: Python (preferred), R, C++, MATLAB
</li><li>Experience with developing and applying advanced statistical/machine learning models and algorithms for one or more of the following: classification, clustering, anomaly detection, density estimation, data mining, pattern recognition, knowledge discovery</li>
<li>Experience with extracting and processing structured/unstructured data from various sources (e.g. databases, text files, web) and preparing data for analysis
</li><li>Collaborate with others in a multidisciplinary team environment to accomplish research goals
</li><li>Ability to work effectively in small-team settings to solve complex problems
</li><li>Ability and desire to obtain substantial domain knowledge in fields of application and ability to communicate effectively with subject matter experts
</li><li>Proficient verbal and written communication skills to collaborate effectively in a team environment and present and explain technical information to customers</li>
</ul>
<div><br>
<b>Desired Qualifications</b></div>
<ul><li>Experience with the intelligence community
</li><li>Broad knowledge of statistical analysis, ML methods, and problem-solving skills
</li><li>Experience with: spatial statistics, multivariate statistics, Gaussian Process, Random Forest, Support Vector Machine, Natural Language Processing, Neural Networks
</li><li>Proficient with Python, Jupyter, Markdown
</li><li>Experience working with databases such as SQL and/or ELK stack
</li><li>Experience with creating data visualizations / dashboards</li>
</ul>
<div></div><div>Salary Range: $78,853 - $236,579</div>
<div></div><div>This position offers a comprehensive benefits package that includes company equity, retirement plan, company-paid health care benefits, flexible paid time off policy, and opportunity for a raise and bonus during the year.</div><br>
<div></div>
<div></div><div><div><div>ICR, Inc. considers several factors when extending job offers, including but not limited to candidates&rsquo; key skills, relevant work and/or military experience, education, training certifications and work location.
</div>
<div></div><div><div><i>ICR is proud to be an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.</i></div></div></div></div></div><div></div>

Bayesian Statistician (Data Scientist) - Aurora, CO

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
The Artificial General Intelligence (AGI) Customization Team is seeking a highly skilled and experienced Applied Scientist to support adoption and enable customization of Amazon Nova. The role focuses on developing state-of-the-art services and tools for model customization, including supervised fine-tuning, reinforcement learning, and knowledge distillation across large language models.<br>
<br>
As an Applied Scientist, you will play a important role in developing advanced customization capabilities that enable enterprises to build highly performant application-specific models without the need for training models from scratch. Your work will directly impact how companies leverage Amazon Nova models for their specific use cases.<br>
<br>
Key job responsibilities<br>
<ul><li>Contribute to the development of novel customization techniques including extended post-training, continued pre-training, and advanced knowledge distillation
</li><li>Collaborate with cross-functional teams to design and implement enterprise-ready tooling for various training techniques on Amazon SageMaker</li><li>Design and execute experiments to optimize model accuracy, latency, and cost across different customization approaches (SFT, DPO, PPO)</li><li>Develop and enhance preference learning algorithms and training curricula for customer-specific applications</li><li>Create robust evaluation frameworks for assessing model performance across different domains and use cases</li><li>Contribute to the development of the Responsible AI toolkit, including creating training and evaluation datasets for model alignment</li><li>Design and implement secure access mechanisms for early model checkpoints and weights</li><li>Communicate technical insights and results to both technical and non-technical stakeholders through presentations and documentation</li></ul></div><h2 class="jobSectionHeader"><b><br>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of building models for business application experience</li><li>PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience</li><li>Experience in patents or publications at top-tier peer-reviewed conferences or journals</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li><li>1+ years of building machine learning models for business application experience</li><li>Master's degree, or PhD and 2+ years of applied research experience</li><li>Experience with any programming language such as Python, Java, C++</li><li>Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience using Unix/Linux</li><li>Experience in professional software development</li><li>PhD in computer science, machine learning, engineering, or related fields, or Master's degree</li><li>PhD in computer science, computer engineering, or related field, or experience with Machine and Deep Learning toolkits such as MXNet, TensorFlow, Caffe and PyTorch</li><li>Experience that includes strong analytical skills, attention to detail, and effective communication abilities, or experience in software development and experience in managing and troublshooting network</li><li>Experience collaborating with cross-functional teams</li><li>Experience in developing and implementing algorithms and models for supervised fine-tuning and reinforcement learning</li><li>Experience with patents or publications at top-tier peer-reviewed conferences or journals</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>
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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, MA, Cambridge - 142,800.00 - 193,200.00 USD annually<br>
USA, WA, BELLEVUE - 142,800.00 - 193,200.00 USD annually</div><p></p>

Applied Scientist, AGI Customization Services

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