machine learning scientist

Expedia Group

<div><p>Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.</p><p></p><p><b>
Why Join Us?</b></p><p>
To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.</p><p></p><p>
We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We&rsquo;re building a more open world. Join us.</p><p></p><p><b>
Senior Machine Learning Scientist</b></p><p></p><p><b>
Introduction to the Team:
</b></p><p>Expedia Technology teams partner with our Product teams to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction.
</p><p></p><p>The Traveler Engagement &amp; Loyalty team at Expedia is at the forefront of innovation in AI-driven recommendation systems. We're dedicated to enhancing customer experiences, increasing engagement, and strengthening traveler relationships through cutting-edge machine learning solutions. Our work directly impacts millions of travelers worldwide, shaping their journey from dreaming to booking and beyond.
</p><p></p><p>Join a newly formed Machine Learning Science team at Expedia Group focused on transforming Customer Relationship Management (CRM) through intelligent, personalized outbound communications. From crafting tailored travel recommendations to optimizing engagement strategies, your work will directly influence millions of travelers globally. This is a rare opportunity to build foundational systems in a high-impact domain, backed by Expedia&rsquo;s AI-first vision.
</p><p></p><p><b>In this role, you will:
</b></p><ul><li><p>Build and optimize recommendation models for CRM use cases, including personalized email campaigns and retention strategies
</p></li><li><p>Apply deep learning and causal inference to sparse, noisy, and dynamic customer interaction data
</p></li><li><p>Design and analyze A/B experiments to validate model performance and drive product decisions
</p></li><li><p>Collaborate with ML Engineers to deploy models at scale, ensuring robustness and reliability in production environments
</p></li><li><p>Translate business objectives into measurable machine learning goals aligned with customer engagement outcomes
</p></li><li><p>Stay current with advancements in recommendation research, deep learning architectures, and personalization systems
</p></li><li><p>Mentor junior scientists and engineers, sharing best practices in ML modeling, experimentation, and deployment<br>
</p></li></ul><p><br>
<b>Minimum Qualifications:</b>
</p><ul><li><p>PhD, MS, or BS in Computer Science, Machine Learning, Statistics, Engineering, or a related field; or equivalent professional experience
</p></li><li><p>8+ years of related industry experience
</p></li><li><p>Experience building production-grade recommendation or personalization systems
</p></li><li><p>Strong understanding of collaborative filtering, deep learning for recommendations, reinforcement learning, and causal inference
</p></li><li><p>Proficiency in Python and ML frameworks such as TensorFlow or PyTorch
</p></li><li><p>Experience with distributed systems like Apache Spark
</p></li><li><p>Familiarity with A/B testing and experimentation methodologies
</p></li><li><p>Ability to work with large-scale, real-world data with attention to bias, fairness, and privacy
</p></li></ul><p></p><p><b>Preferred Qualifications:</b>
</p><ul><li><p>Experience in the travel or e-commerce industry
</p></li><li><p>Familiarity with cloud platforms (AWS, GCP, Azure)
</p></li><li><p>Publications in top-tier ML conferences or journals
</p></li><li><p>Contributions to open-source ML projects
</p></li><li><p>Experience in personalization systems or CRM-focused ML applications
</p></li><li><p>Experience taking models from prototype to production in collaboration with Machine Learning Engineering teams</p></li></ul><p></p>
The total cash range for this position in San Jose is $187,000.00 to $261,500.00. Employees in this role have the potential to increase their pay up to $299,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.<p></p>
The total cash range for this position in Seattle is $173,000.00 to $242,500.00. Employees in this role have the potential to increase their pay up to $277,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.<p></p><p>
Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual&rsquo;s knowledge, skills, and experience. Pay ranges may be modified in the future.</p><p></p><p>
Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee&rsquo;s passion for travel, we offer a wellness &amp; travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits.</p><p></p><p><b>
Accommodation requests</b></p><p>
If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.</p><p></p><p>
We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.</p><p></p><p>
Expedia Group's family of brands includes: Brand Expedia&reg;, Hotels.com&reg;, Expedia&reg; Partner Solutions, Vrbo&reg;, trivago&reg;, Orbitz&reg;, Travelocity&reg;, Hotwire&reg;, Wotif&reg;, ebookers&reg;, CheapTickets&reg;, Expedia Group&trade; Media Solutions, Expedia Local Expert&reg;, CarRentals.com&trade;, and Expedia Cruises&trade;. &copy; 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50</p><p></p><p>
Employment opportunities and job offers at Expedia Group will always come from Expedia Group&rsquo;s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you&rsquo;re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.</p><p></p>
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.</div>

Machine Learning Scientist

Apple

<div>
 <strong>
  Summary
  <br/>
  <br/>
 </strong>
 At Apple, we focus deeply on our customers&rsquo; experience. Apple Ads brings this same approach to advertising, helping people find exactly what they&rsquo;re looking for and helping advertisers grow their businesses.
 <br/>
 <br/>
 Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes&mdash;from small app developers to big, global brands. Because when advertising is done right, it benefits everyone.
 <br/>
 <br/>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 The role requires experience in areas such as predictive modeling (classification and regression), optimization, industrial engineering, demand forecasting, and time-series forecasting. The ideal candidate will have demonstrated capability to deploy data science and machine learning models with large datasets in an industry setting. Deep understanding and ability to compare predictive models, evaluate their strengths and weaknesses in a particular context, and interpret and explain model results to a broad group of technical and non-technical stakeholders are also a plus. Competitive candidates will also have experience working closely with data engineers to build efficient, scalable solutions. We are looking for a thoughtful and creative data scientist to join a team that creatively adapts state-of-the art analytical techniques to real-world business problems with an approach focused on rapid development, evaluation, and iterative improvement. Continuous learning is part of the job, both as it relates to technical skills and within the content and format of advertising domain
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   4+ years of recent experience in a data science role.
  </li>
  <li>
   Bachelor's in computer science, mathematics, or another quantitative field
  </li>
  <li>
   Command over Python and SQL.
  </li>
  <li>
   Comfort with cloud technologies such as AWS and Snowflake.
  </li>
  <li>
   Experience with Big Data tools such as Hadoop, Spark and PySpark.
  </li>
  <li>
   Experience in quantitative analysis including regression, classification, linear optimization, supply chain analytics, and time-series analyses.
  </li>
  <li>
   Ability to communicate the results of analyses in a clear and effective manner with product and leadership teams to influence the overall strategy of the product.
  </li>
  <li>
   Ability to partner with engineering, meet the data needs of the business, find creative analytical solutions, and develop initial prototypes to address business problems.
  </li>
  <li>
   Experience with end-to-end implementation of a model prototype specifically training, processing, feature engineering, evaluating model outputs, and putting models into production.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Minimum Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5+ years of experience in Business Analytics, Data Science, or a related analytical role
  </li>
  <li>
   Strong data analysis skills, including the ability to conduct deep dives using statistical methods and data science techniques
  </li>
  <li>
   Exceptional communication skills, with the ability to communicate complex analyses clearly to executive and technical audiences
  </li>
  <li>
   Demonstrated ability to collaborate with cross-functional partners such as Product, Sales, and Marketing to design experiments and analyses that inform business decisions
  </li>
  <li>
   Proficiency in SQL and data visualization, with a strong eye for design and clarity
  </li>
  <li>
   Strong programming skills in Python, with experience using libraries such as Pandas, SciPy, and scikit-learn
  </li>
  <li>
   Comfortable querying and analyzing large datasets using tools such as SQL, Snowflake, or similar analytical data platforms
  </li>
  <li>
   Bachelor&rsquo;s degree in a related field, or equivalent industry experience
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Masters degree or Ph.D. in a quantitative discipline.
  </li>
  <li>
   Experience in the digital advertising industry or a related field and/or experience with demand forecasting
  </li>
  <li>
   Willingness to learn, both technically and in the domain of the data.
  </li>
  <li>
   Familiarity with packages like numpy, pandas, scikit-learn, and prophet
  </li>
  <li>
   Familiarity with job orchestration frameworks like git, Airflow, CI/CD, Kubernetes, Docker, Jenkins.
  </li>
  <li>
   Experience and/or interest in deep learning, LLMs, and Natural Language Processing.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Pay &amp; Benefits
  <br/>
  <br/>
 </strong>
 At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.
 <br/>
 <br/>
 Apple employees also have the opportunity to become an Apple shareholder through participation in Apple&rsquo;s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple&rsquo;s Employee Stock Purchase Plan. You&rsquo;ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses &mdash; including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
 <br/>
 <br/>
 Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
 <br/>
 <br/>
 Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
 <br/>
 <br/>
 Apple accepts applications to this posting on an ongoing basis.
 <br/>
 <br/>
</div>


Machine Learning Data Scientist - Core Insights, Apple Ads

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

CRISPR Therapeutics

<div><p><b>Job Description:</b></p><p></p><p><b>
Company Overview</b></p><p>
Since its inception over a decade ago, CRISPR Therapeutics has transformed from a research-stage company advancing programs in the field of gene editing, to a company with a diverse portfolio of product candidates across a broad range of disease areas including hemoglobinopathies, oncology, regenerative medicine, cardiovascular and rare diseases. The Nobel Prize-winning CRISPR science has revolutionized biomedical research and represents a powerful, clinically validated approach with the potential to create a new class of potentially transformative medicines. To accelerate and expand its efforts, CRISPR Therapeutics has established strategic partnerships with leading companies including Vertex Pharmaceuticals. CRISPR Therapeutics AG is headquartered in Zug, Switzerland, with its wholly-owned U.S. subsidiary, CRISPR Therapeutics, Inc., and R&amp;D operations based in Boston, Massachusetts and San Francisco, California.</p><p></p><p><b>
Position </b><b>Summary</b></p><p>
We are seeking a highly motivated and talented Computational Biology &amp; AI Scientist to grow our CRISPR-X and Genomics teams at CRISPR Therapeutics. The scientist in this role will leverage computational genomics and machine learning to advance next-generation in vivo therapies for gene correction and gene insertion into the clinic, including designing novel CRISPR proteins and characterizing gene-editing safety. The successful candidate will own technical strategy, collaborate closely with cross-functional research groups, and deliver contributions that directly impact patients with serious diseases. The position requires outstanding skills in computational biology, ML/AI, and genomics; a high degree of scientific rigor and attention to detail; and a passion for creating new medicines for patients.</p><p></p><p><b>
Responsibilities</b></p><ul><li>
Lead computational genomics and ML/AI activities in a cross-functional drug development setting</li><li>
Generate and test hypotheses on genome-scale data using analytical, statistical, and machine learning methods</li><li>
Perform computational analyses to thoroughly characterize off-target gene editing to ensure the safety of CRISPR-based drug products</li><li>
Apply and develop ML/AI tools to engineer and optimize CRISPR and other gene-editing modalities for improved efficacy and specificity, working in iterative design-test cycles with a world-class team of cellular and molecular biologists</li><li>
Develop and maintain reproducible computational and ML/AI pipelines for genomic and molecular data analysis</li><li>
Author scientifically rigorous research reports to support IND submissions and other regulatory filings</li><li>
Present scientific findings to a broad range of audiences, including senior leadership, to help inform decision-making for therapeutic programs
</li><li>Dissect published literature and cutting-edge developments in the ML/AI space to find novel solutions for in vivo gene-editing problems
</li></ul><p></p><p><b>Minimum Qualifications</b></p><ul><li>
Ph.D. in computational biology, bioinformatics, genomics, machine learning, computer science, or a related field</li><li>
At least 2 years of industry or postdoctoral experience characterizing on-/off-target editing, optimizing gene-editing modalities, or developing AI/ML-driven approaches for therapeutic protein design</li><li>
Demonstrated record of developing computational pipelines to analyze high-throughput DNA sequencing data, with proficiency in common bioinformatics tools (e.g., BWA, SAMtools, GATK, IGV)</li><li>
Proven ability to develop and apply machine learning and/or AI methods to solve challenging problems in the biological domain</li><li>
Proficiency with Python is essential; familiarity with additional languages such as C++, R, or Julia is a plus</li><li>
Ability to work independently and effectively in a matrix environment, prioritize and manage multiple tasks simultaneously, and balance competing priorities</li><li>
Excellent writing, reviewing, and presentation skills</li><li>
A high degree of scientific rigor, accuracy, and attention to detail</li></ul><p><b><br>
Preferred Qualifications</b></p><ul><li>
Experience applying ML/AI tools for protein structure prediction (e.g., AlphaFold), de novo protein design (e.g., RFdiffusion), and/or biomolecular sequence modeling (e.g., ESM, Evo)</li><li>
Proficiency with statistical and machine learning methods, including familiarity with ML frameworks (e.g., PyTorch, TensorFlow, or scikit-learn)</li><li>
Familiarity with sequencing platforms (Illumina, PacBio, Oxford Nanopore, 10x Genomics) and NGS library preparation methods</li><li>
Demonstrated record of authoring research reports to support regulatory filings (e.g., IND modules, Investigator's Brochures)</li><li>
Proficiency in managing and analyzing large-scale genomic data in a Linux and/or cloud environment (e.g., AWS)</li></ul><p><b><br>
Competencies</b></p><ul><li>
Collaborative &ndash; Openness, One Team</li><li>
Undaunted &ndash; Fearless, Can-do attitude</li><li>
Results Orientation &ndash; Delivering progress toward our mission. A sense of urgency in solving problems.</li><li>
Entrepreneurial Spirit &ndash; Proactive. Ownership mindset.</li></ul><p></p><p>
CRISPR Therapeutics believes in fostering a dynamic workplace that balances remote work flexibility with the benefits of in-person interactions. Our employees work at least three days on-site, creating a collaborative work environment, where we cultivate mentorship opportunities, increase cross-functional communication and offer opportunities for our employees to connect. Certain lab based and manufacturing positions are located fully on-site.</p><p></p><p>
Senior Clinical Scientist: Base pay range of $140,000 to $150,000+ bonus, equity and benefits</p><p>
The range provided is CRISPR Therapeutics&rsquo; reasonable estimate of the base compensation for this role. The actual amount will be based on job-related and non-discriminatory factors such as experience, training, skills, and abilities.</p><p></p><p>
CRISPR Therapeutics, Inc. is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation or any characteristic protected under applicable law.
</p><p></p><p>To view our Privacy Statement, please click the following link: http://www.crisprtx.com/about-us/privacy-policy</p></div>

Scientist II, Computational Biology & AI

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader"><b>Job Description</b></h1><p><b>
Job Title:</b> Expert Data Scientist &ndash; Demand Planning &amp; Forecasting (Machine Learning)<br>
<b>Project:</b> Demand Planning ML Models Initiative<br>
<b>Role Level:</b> Expert / Principal (Hands-on, Delivery-Focused)<br>
<b>Employment Type:</b> Full-Time<br>
<b>Experience:</b> 7+ Years<br>
<b>Job Location:</b> Remote<br>
<b>Job Timing:</b> Vietnam Time Zone</p><h2 class="jobSectionHeader"><b>
Role Overview</b></h2><p>
We are seeking an <b>Expert Data Scientist</b> with deep hands-on experience in <b>machine learning&ndash;based demand forecasting</b> to support the <b>ANZ Demand Planning ML Models initiative</b>.</p><p>
This role requires a senior practitioner capable of <b>independently designing, developing, and delivering enterprise-grade demand forecasting models</b>. The ideal candidate will own forecasting solutions end-to-end and help improve business decision-making through highly accurate predictive models.</p><h1 class="jobSectionHeader"><b><br>
Key Responsibilities</b></h1><h2 class="jobSectionHeader"><b>
Demand Planning &amp; Forecasting (Core Focus)</b></h2><ul><li><p>
Lead the <b>design, development, and optimization of ML-based demand forecasting models</b>.</p></li><li><p>
Work extensively with <b>time-series datasets related to sales, demand, and supply planning</b>.</p></li><li><p>
Apply and optimize <b>statistical forecasting techniques and machine learning algorithms</b>.</p></li><li><p>
Perform <b>advanced feature engineering</b> incorporating seasonality, trends, promotions, pricing, holidays, and external drivers.</p></li><li><p>
Conduct <b>back-testing, validation, and scenario analysis</b> to continuously improve forecast accuracy.</p></li></ul><h2 class="jobSectionHeader"><b><br>
Data Science Leadership &amp; Delivery</b></h2><ul><li><p>
Own the <b>end-to-end data science lifecycle</b>, from data exploration and model development to deployment support.</p></li><li><p>
Define, monitor, and optimize forecasting KPIs including <b>MAPE, RMSE, and MAE</b>.</p></li><li><p>
Review, validate, and refine forecasting methodologies to ensure accuracy and scalability.</p></li><li><p>
Clearly communicate <b>model logic, assumptions, and insights</b> to business and executive stakeholders.</p></li></ul><h2 class="jobSectionHeader"><b><br>
Collaboration &amp; Execution</b></h2><ul><li><p>
Collaborate closely with <b>Data Engineers, Analytics teams, and business stakeholders</b> to operationalize forecasting models.</p></li><li><p>
Support <b>production deployment, monitoring, and model performance improvements</b>.</p></li><li><p>
Drive <b>knowledge sharing and best practices</b> in forecasting and machine learning across teams.</p></li></ul><h1 class="jobSectionHeader"><b><br>
Required Experience</b></h1><ul><li><p><b>
7+ years</b> of experience in <b>Data Science / Machine Learning</b>.</p></li><li><p><b>
5+ years of hands-on experience in demand forecasting or demand planning using machine learning</b>.</p></li><li><p>
Proven experience delivering <b>production-grade or business-critical forecasting models</b>.</p></li><li><p>
Strong experience working with <b>enterprise-scale time-series datasets</b>.</p></li></ul><h1 class="jobSectionHeader"><b><br>
Technical Skills</b></h1><ul><li><p>
Advanced <b>Python for Data Science and Machine Learning</b>.</p></li><li><p>
Strong expertise in <b>time-series forecasting techniques</b> (statistical and ML-based).</p></li><li><p>
Experience with machine learning models such as <b>regression, tree-based models, and ensemble methods</b>.</p></li><li><p>
Advanced <b>feature engineering for demand and planning datasets</b>.</p></li><li><p>
Strong <b>SQL and data manipulation</b> capabilities.</p></li><li><p>
Experience with <b>forecast evaluation metrics (MAPE, RMSE, MAE)</b>.</p></li></ul><h1 class="jobSectionHeader"><b><br>
Soft Skills</b></h1><ul><li><p>
Strong <b>ownership and accountability mindset</b>.</p></li><li><p>
Excellent <b>analytical and problem-solving capabilities</b>.</p></li><li><p>
Ability to <b>communicate complex technical concepts to non-technical stakeholders</b>.</p></li><li><p>
Comfortable working in <b>fast-paced environments with tight delivery timelines</b>.</p></li></ul><p>
</p><p>OLlD82d2j5</p></div>

Expert Data Scientist

S R International Inc

<div><div><div><b>State of Mississippi - Sr AI/ML Data Scientist (US Federal Gov&rsquo;t exp with TS/SCI clearance needed)</b> <b>- MS - MDCPS- 156573 (Remote)</b><br>
</div><div><b>Closing Date: 3/23/2026</b><br>
</div><div><b>100% remote</b></div><br>
<div>
<br>
<br>
<b>Required Skills:</b><br>
</div><ul><li><b>Bachelor&rsquo;s, Master&rsquo;s, or Ph.D</b>. in computer science, mathematics, engineering, physics, or related field.</li></ul><br>
<ul><li>Have participated in <b>US Federal Gov&rsquo;t data science programs requiring TS/SCI clearance, delivering solutions requiring the combination of geospatial disciplines and pattern of life, and Social network connections.</b></li></ul><br>
<ul><li>Data engineering expertise, with demonstrable <b>experience custom building programs processing in excess of 700 Million records in less than :30min, on a highly frequent, reoccurring basis.</b></li></ul><br>
<ul><li>Proven expertise working with CCWIS data attributes to predict <b>child welfare</b> outcomes, including but not limited data attribute selection, data clean up and statistical tuning.</li></ul><br>
<ul><li>Extensive knowledge of <b>statistical algorithms, machine learning</b>, and adaptive systems.</li></ul><br>
<ul><li>Prior history of designing and building machine learning algorithms from the ground up.</li></ul><br>
<ul><li>Experience with making technical trade-offs between algorithmic approaches. based on collective errors,computational time, scalability, and outcomes.</li></ul><br>
<ul><li>Prior success in developing optimal non-rule-based decision-making systems where the inputs are stochastic.</li></ul><br>
<ul><li>Successful history of converting social processes and human decision-making into computational models that yield improved results.</li></ul><br>
<div><b>Job Description:</b><br>
</div><div>The Mississippi Department of Child Protective Services seeks a senior data scientist to support a proof-of-concept<br>
</div><div>demonstration using natural language processing and other machine learning methods to improve the intake process.<br>
</div><div>This work is critical to demonstrate the potential of the latest technology to improve the lives of children at risk.<br>
</div><div>The Senior Data Scientist will be responsible for overseeing and supporting the development, implementation, and<br>
</div><div>testing of statistical models, integration of NLP, and refinement and testing of the prototype. In addition, algorithmic<br>
</div><div>trade-offs will be evaluated, and guidance provided to ensure the State&rsquo;s objectives are satisfied. The Senior Data<br>
</div><div>Scientist will work closely with State stakeholders and technical team members to ensure the quality of the results and<br>
</div><div>that the derived methods are transparent, statistically sound, relevant, and documented.<br>
</div><div>Key Responsibilities<br>
</div><ul><li>Create a Development Framework</li></ul><br>
<div>o Establish a framework for the execution of technical tasks within the proof-of-concept. The framework will<br>
</div><div>consist of task breakouts, milestones, and deliverables<br>
</div><div>o Identify critical milestones related to information, receipt of data, testing, and delivery.<br>
</div><div>o Identify key risk factors and means of mitigation.<br>
</div><ul><li>Current Processes &amp; Technology</li></ul><br>
<div>o Participate in critical discussions involving current intake workflows, how decisions are made based on<br>
</div><div>information from the intake process, and the allocation of State labor.<br>
</div><div>2<br>
</div><div>o Contribute to the identification of intake process shortcomings and prioritize based on their impact on children<br>
</div><div>and State resources.<br>
</div><ul><li>Devise New Intake Approach Using New Technologies</li></ul><br>
<div>o Lead the development of a new intake process that leverages natural language processing and other machine<br>
</div><div>learning algorithms.<br>
</div><div>o Identify the functional blocks and reconcile their contributions to solving the prioritized shortcomings.<br>
</div><div>o Evaluate architectural and computational implementation trade-offs for each functional block. The evaluation<br>
</div><div>should consider risk from the standpoints of technical, schedule, and security.<br>
</div><div>o Evaluate trade-offs of using different data sources, including existing systems, sample data, simulated data, or<br>
</div><div>other alternatives.<br>
</div><div>o Document the final approach for transparency.<br>
</div><ul><li>Design Review(s)</li></ul><br>
<div>o Create the framework for the design review process.<br>
</div><div>o Lead the design review and evaluate<br>
</div><div> The functional design with respect to resolving prioritized intake process shortcomings, and the impact on<br>
</div><div>children and State resources.<br>
</div><div> Technical, schedule, data security, and other risk factors.<br>
</div><div> Source of data and its usefulness in demonstrating the efficacy of the approach.<br>
</div><div> Proposed methods of test and demonstration.<br>
</div><div>o Documentation of the process for transparency.<br>
</div><ul><li>Implementation of Proof-of-Concept</li></ul><br>
<div>o Oversee the implementation of the prototype by conducting weekly status updates and, when appropriate, gate<br>
</div><div>reviews.<br>
</div><div>o Provide guidance when needed to mitigate risk and remove technical or administrative roadblocks.<br>
</div><ul><li>Conference Room Demonstration</li></ul><br>
<div>o During the course of 3-4 days, provide conference room support to demonstrate that shows how the prototype<br>
</div><div>application can improve child outcomes and reduce State resources.<br>
</div><div>o Capture key stakeholder comments regarding technical aspects of the application.<br>
</div><ul><li>Roadmap</li></ul><br>
<div>o Contribute to the development of a roadmap that illustrates how the developed technology could be integrated<br>
</div><div>into the State&rsquo;s ecosystem of technologies and processes.<br>
</div><ul><li>Agile Development Process</li></ul><br>
<div>o Contribute to the Agile development process to ensure the success of the project.</div></div></div>

Sr AI/ML Data Scientist (US Federal Gov’t exp with TS/SCI clearance)

Amazon

<div>
 <strong>
  Description
  <br/>
  <br/>
 </strong>
 Are you passionate about solving unique customer-facing problems in the Amazon scale? Are you excited about utilizing statistical analysis, machine learning, data mining and leverage tons of Amazon data to learn and infer customer shopping patterns? Do you enjoy working with a diversity of engineers, machine learning scientists, product managers and user-experience designers? If so, you have found the right match!
 <br/>
 <br/>
 Fashion is extremely fast-moving, visual, subjective, and it presents numerous unique problem domains such as product recommendations, product discovery and evaluation. The vision for Amazon Fashion is to make Amazon the number one online shopping destination for Fashion customers by providing large selections, inspiring and accurate recommendations and customer experience.
 <br/>
 <br/>
 The NAS Shop and Keep (SHAKE) organization empowers customers to make confident, lasting purchase decisions by minimizing purchase anxiety and reducing returns. The NAS SHAKE science team advances this mission by innovating and developing scalable ML solutions tailored to these unique challenges. The team is hiring a Data Scientist who has a solid background in Statistical Analysis, Machine Learning and Data Mining and a proven record of effectively analyzing large complex heterogeneous datasets, and is motivated to grow professionally as a Data Scientist.
 <br/>
 <br/>
 Key job responsibilities
 <br/>
 <br/>
 <ul>
  <li>
   You will work on our Science team and partner closely with applied scientists, data engineers as well as product managers, UX designers, and business partners to answer complex problems via data analysis. Outputs from your analysis will directly help improve the performance of the ML based recommendation systems thereby enhancing the customer experience as well as inform the roadmap for science and the product.
  </li>
  <li>
   You can effectively analyze complex and disparate datasets collected from diverse sources to derive key insights, build segmentation models and improve customer experience by reducing retail returns.
  </li>
  <li>
   You have excellent communication skills to be able to work with cross-functional team members to understand key questions and earn the trust of senior leaders.
  </li>
  <li>
   You are able to multi-task between different tasks such as gap analysis of algorithm results, integrating multiple disparate datasets, doing business intelligence, analyzing engagement metrics or presenting to stakeholders.
  </li>
  <li>
   You thrive in an agile and fast-paced environment on highly visible projects and initiatives.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Basic Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   1+ 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/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience
  </li>
  <li>
   1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
  </li>
  <li>
   Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
  </li>
  <li>
   Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R
  </li>
  <li>
   Knowledge of machine learning concepts and their application to reasoning and problem-solving
  </li>
  <li>
   Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)
  </li>
  <li>
   Experience applying quantitative analysis to solve business problems and making data-driven business decisions
  </li>
  <li>
   Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices.
  </li>
  <li>
   Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences.
   <br/>
   <br/>
  </li>
 </ul>
 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.
 <br/>
 <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.
 <br/>
 <br/>
 USA, WA, Seattle - 108,300.00 - 160,000.00 USD annually
 <br/>
 <br/>
 <br/>
 <strong>
  Company
 </strong>
 - Amazon.com Services LLC
 <br/>
 <br/>
 Job ID: A3206663
</div>


Data Scientist I, SHAKE

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