financial data scientist

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
WW Amazon Stores Finance Science (ASFS) works to leverage science and economics to drive improved financial results, foster data backed decisions, and embed science within Finance. ASFS is focused on developing products that empower controllership, improve business decisions and financial planning by understanding financial drivers, and innovate science capabilities for efficiency and scale.<br>
<br>
We are looking for a data scientist to lead high visibility initiatives for forecasting Amazon Stores' financials. You will develop new science-based forecasting methodologies and build scalable models to improve financial decision making and planning for senior leadership up to VP and SVP level. You will build new ML and statistical models from the ground up that aim to transform financial planning for Amazon Stores.<br>
<br>
We prize creative problem solvers with the ability to draw on an expansive methodological toolkit to transform financial decision-making with science. The ideal candidate combines data-science acumen with strong business judgment. You have versatile modeling skills and are comfortable owning and extracting insights from data. You are excited to learn from and alongside seasoned scientists, engineers, and business leaders. You are an excellent communicator and effectively translate technical findings into business action.<br>
<br>
Key job responsibilities<br>
<br>
Demonstrating thorough technical knowledge, effective exploratory data analysis, and model building using industry standard ML models<br>
Working with technical and non-technical stakeholders across every step of science project life cycle<br>
Collaborating with finance, product, data engineering, and software engineering teams to create production implementations for large-scale ML models<br>
Innovating by adapting new modeling techniques and procedures<br>
Presenting research results to our internal research community</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>2+ years of data scientist experience</li><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>3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience</li><li>Experience applying theoretical models in an applied environment</li><li>Bachelor's degree</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience in a ML or data scientist role with a large technology company</li><li>Experience working on multi-team, cross-disciplinary projects</li><li>Experience effectively communicating complex concepts through written and verbal communication</li><li>Master's degree</li><li>Experience formulating and solving predictive modeling, machine learning, forecasting or statistical modeling problems</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, Sunnyvale - 157,300.00 - 212,800.00 USD annually<br>
USA, WA, Bellevue - 136,000.00 - 184,000.00 USD annually<br>
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually</div><p></p>

Data Scientist II, Amazon Stores Finance Science

Hays

<div>
 <p>
  <strong>
   Senior Data Scientist
  </strong>
 </p>
 <p>
  <strong>
   Financial Services
  </strong>
 </p>
 <p>
  <strong>
   Dubai, United Arab Emirates
  </strong>
 </p>
 <p>
  <strong>
   Permanent position
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for a Senior Data Scientist to join an investment team to help advance the next stage of growth for of tech‑driven wealth management firm.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This role sits at the intersection of quant finance, AI and engineering. You will work directly quant analysts and researchers, to build models, tools, and insights that enhance investment decisions across multi‑asset portfolios.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Asset class
  </strong>
 </p>
 <p>
  Experience working with multi‑asset datasets: equities, FX/currencies, rates, credit, commodities, derivatives.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Experience needed
  </strong>
 </p>
 <ul>
  <li>
   Python expertise
  </li>
  <li>
   ML proficiency
  </li>
  <li>
   Develop and maintain quantitative models for asset allocation
  </li>
  <li>
   Design and deploy LLM‑powered tools
  </li>
  <li>
   Familiarity with portfolio construction frameworks and allocation strategies
  </li>
  <li>
   Deep understanding of quantitative finance and financial datasets
  </li>
  <li>
   Implement AI models for quant research and investment workflows
  </li>
  <li>
   Previous QR/QA/SDS industry role within wealth management, managers, funds, or investment banks
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Education
  </strong>
 </p>
 <ul>
  <li>
   PhD in Com Sci or relevant STEM
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Salary, bonus, family visa, family medical, flight &amp; relocation assistance available for successful overseas applicants.
 </p>
 <p>
  <br/>
 </p>
 <p>
  **Due to the high number of applicants, only applicants with the above skillset will be contacted**
 </p>
</div>


Senior Data Scientist

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
WW Amazon Stores Finance Science (ASFS) works to leverage science and economics to drive improved financial results, foster data backed decisions, and embed science within Finance. ASFS is focused on developing products that empower controllership, improve business decisions and financial planning by understanding financial drivers, and innovate science capabilities for efficiency and scale.<br>
<br>
We are looking for a data scientist to lead high visibility initiatives for forecasting Amazon Stores' financials. You will develop new science-based forecasting methodologies and build scalable models to improve financial decision making and planning for senior leadership up to VP and SVP level. You will build new ML and statistical models from the ground up that aim to transform financial planning for Amazon Stores.<br>
<br>
We prize creative problem solvers with the ability to draw on an expansive methodological toolkit to transform financial decision-making with science. The ideal candidate combines data-science acumen with strong business judgment. You have versatile modeling skills and are comfortable owning and extracting insights from data. You are excited to learn from and alongside seasoned scientists, engineers, and business leaders. You are an excellent communicator and effectively translate technical findings into business action.<br>
<br>
Key job responsibilities<br>
<br>
Demonstrating thorough technical knowledge, effective exploratory data analysis, and model building using industry standard ML models<br>
Working with technical and non-technical stakeholders across every step of science project life cycle<br>
Collaborating with finance, product, data engineering, and software engineering teams to create production implementations for large-scale ML models<br>
Innovating by adapting new modeling techniques and procedures<br>
Presenting research results to our internal research community</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ 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>4+ years of data scientist experience</li><li>Experience with statistical models e.g. multinomial logistic regression</li><li>Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science</li><li>Experience managing data pipelines</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience as a leader and mentor on a data science team</li><li>Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue)</li><li>Master's degree</li><li>Experience formulating and solving predictive modeling, machine learning, forecasting or statistical modeling problems</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, CA, Sunnyvale - 183,000.00 - 247,600.00 USD annually<br>
USA, WA, Bellevue - 159,200.00 - 215,300.00 USD annually<br>
USA, WA, Seattle - 159,200.00 - 215,300.00 USD annually</div><p></p>

Senior Data Scientist, Amazon Stores Finance Science, Amazon Stores Finance Science

Hyper Lychee Labs

<div>
 <p>
  <strong>
   ONLY APPLY IF:
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    You're an immediate Joiner
   </strong>
  </li>
  <li>
   <strong>
    And are based in KSA / Riyadh (are a citizen)
   </strong>
  </li>
  <li>
   <strong>
    Or have a transferrable Iqama
   </strong>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Domain: Retail &amp; Corporate Banking &ndash; Pricing &amp; Analytics
 </p>
 <p>
  <br/>
 </p>
 <p>
  Role Overview:
 </p>
 <p>
  We are seeking a Senior Data Scientist specializing in Pricing Strategy to design and optimize advanced pricing models across retail, SME, and corporate banking products. The role requires deep expertise in data science, financial modelling, and regulatory‑compliant analytics, with the ability to influence strategic decisions in one of the largest banks in the Middle East.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Pricing Analytics &amp; Modeling
  </strong>
 </p>
 <ul>
  <li>
   Develop statistical and machine learning models, Bayesian models for loan, deposit, and fee pricing.
  </li>
  <li>
   Conduct elasticity analysis, demand forecasting, and scenario simulations (Monte-Carlo simulations) for banking products.
  </li>
  <li>
   Build dynamic pricing frameworks aligned with Sharia‑compliant banking principles.
  </li>
  <li>
   Establish best practices for experimentation, model validation, and deployment.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Business Strategy Alignment
  </strong>
 </p>
 <ul>
  <li>
   Partner with product, risk, and finance teams to align pricing with profitability and customer value.
  </li>
  <li>
   Provide board‑level insights on revenue impact, margin optimization, and competitive positioning.
  </li>
  <li>
   Support regulatory reporting with transparent, auditable pricing models.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Data Infrastructure &amp; Governance
  </strong>
 </p>
 <ul>
  <li>
   Define data pipelines across core banking systems, CRM, and BI platforms.
  </li>
  <li>
   Ensure compliance with
   <strong>
    SAMA (Saudi Central Bank)
   </strong>
   regulations and data governance standards.
  </li>
  <li>
   Collaborate with engineering teams to embed pricing models into production systems.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Market &amp; Competitive Intelligence
  </strong>
 </p>
 <ul>
  <li>
   Benchmark pricing against regional and global banks.
  </li>
  <li>
   Monitor macroeconomic indicators (oil prices, interest rates, inflation) impacting pricing strategy.
  </li>
  <li>
   Track customer behavior and digital adoption trends in Middle East banking.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Qualifications
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Master&rsquo;s/PhD in Data Science, Statistics, Economics, or related field.
  </li>
  <li>
   8&ndash;20 years of experience in data science, with at least 5 years in
   <strong>
    financial services pricing strategy
   </strong>
   .
  </li>
  <li>
   Strong expertise in:
  </li>
 </ul>
 <ol>
  <li>
   Regression, Bayesian models, ML Models,&nbsp;survival models, clustering, time‑series forecasting, optimization techniques like Linear &amp; quadratic programming, Dynamic programming models, Sotchastic modelling etc.
  </li>
  <li>
   Hands on Simulation, price elasticity optimization, Monte Carlo simulations etc. along with stress testing experience.
  </li>
  <li>
   Machine learning frameworks (Python, R, TensorFlow, PyTorch).
  </li>
  <li>
   Strong knowledge of Statistics and advanced statistical modelling
  </li>
  <li>
   SAS Proficiency&nbsp;
  </li>
  <li>
   Do not Apply if you have not worked in SAS for analytics as it&rsquo;s a must constraint.
  </li>
  <li>
   SQL and cloud data warehouses (Snowflake, BigQuery, Azure Synapse).
  </li>
 </ol>
 <ul>
  <li>
   Proven track record of delivering measurable pricing impact in banking or financial services.
  </li>
  <li>
   Excellent communication skills for executive‑level presentations in Arabic and English.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Skills
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Experience in
   <strong>
    Middle East banking markets
   </strong>
   .
  </li>
  <li>
   Familiarity with
   <strong>
    Sharia‑compliant financial products
   </strong>
   .
  </li>
  <li>
   Knowledge of
   <strong>
    SAMA regulatory frameworks
   </strong>
   .
  </li>
  <li>
   Exposure to
   <strong>
    QlikSense, Power BI, or Tableau
   </strong>
   for pricing dashboards.&nbsp;
  </li>
 </ul>
</div>


Senior Data Scientist (Pricing Strategist)

Guidehouse

<div><p>Job Family:</p>
Finance &amp; Accounting Consulting<p><br>
Travel Required:</p>
Up to 10%<p><br>
Clearance Required:</p>
Ability to Obtain Secret<p>
What You Will Do:</p><p>
As a Senior Consultant in Guidehouse&rsquo;s Financial Management (FM) practice supporting Department of War clients, you will lead initiatives that transform core financial management functions and operations. Our finance transformation consultants help our clients across the Department of War optimize all elements of their financial management structure by transforming business processes, enhancing the efficiency of operations, improving transparency and performance management, promoting change management, and complying with Federal laws and regulations. This role focuses on driving finance and accounting domain excellence while leveraging technology solutions to deliver actionable insights, enhance operational efficiency, enable auditability, and modernize financial processes in alignment with federal standards.</p><p>
The nature of our projects is extremely fluid and requires self-motivated individuals who are willing to develop solutions on their own or in a team of highly skilled professionals. Project members are provided the opportunity to interact with our client&rsquo;s senior management, and to enhance their skills in technical competency, business development, client service, and people development. Our team provides specialized experience and knowledge in financial management, process analysis, risk management, and performance measurement to support project activities</p><p>
Specific initiatives and work products that this role supports include:</p><ul><li><p>
Supporting transformative initiatives by collaborating with team members to partner with senior stakeholders to modernize financial processes through innovative solutions</p></li><li><p>
Leading the implementation of Microsoft 365 Power Platform tools, including Power Apps solutions, and presenting solutions to stakeholders for iterative feedback</p></li><li><p>
Creating interactive dashboards utilizing Microsoft Office Suite, Power Platform, SharePoint, Power BI, Qlik, and more</p></li><li><p>
Identifying and implementing process improvements over financial tools and templates, and using technology to improve financial management</p></li><li><p>
Assessing existing business processes and procedures to identify pain points and areas for improvement. This includes coordination with process stakeholders to complete current-state assessments, review of relevant documentation to gain a thorough understanding, and evaluation and recommendation of future-state solutions</p></li><li><p>
Communicating project task updates to senior-level executive clients on a regular basis and confirming shared understanding</p></li><li><p>
Coordinating with other team members and/or building necessary skills to develop financial automation, data analytics, data visualization, and/or artificial intelligence (AI) capabilities for financial management use cases. This may include: building financial metrics and supporting dashboards utilizing data visualization software (i.e., Tableau, Power BI, etc.); building low-code applications and user interfaces (using PowerApps, Power Platforms, Appian, ServiceNow, etc.); building AI models to process and analyze high volumes of structured and unstructured financial data (using Databricks, Snowflake, Palantir, Python, R, SQL, etc.).</p></li></ul><p>
What You Will Need:</p><ul><li><p>
Must be able to OBTAIN and MAINTAIN a Federal or DoD &quot;SECRET&quot; security clearance; candidates must obtain approved adjudication of clearance prior to onboarding with Guidehouse. Candidates with an ACTIVE &quot;SECRET&quot; or higher-level clearance are preferred.</p></li><li><p>
Bachelor&rsquo;s degree in data science, engineering, or other related field.</p></li><li><p>
THREE (3) years or more of experience in data analytics, preferably supporting federal financial management or audit readiness.</p></li><li><p>
Hands-on experience with data analytics, automation, and AI tools applied to financial management use cases.</p></li></ul><p>
What Would Be Nice To Have:</p><ul><li><p>
An ACTIVE and MAINTAINED &quot;SECRET&quot; Federal or DoD security clearance</p></li><li><p>
Advanced degree</p></li><li><p>
Experience in SAP Financials, Funds Management, Project Systems (PS Module), and SAP Technical Awareness (i.e., table structures, basic reporting tools, SAP queries)</p></li><li><p>
Exposure to Navy Data Lake, ADVANA, or other DoD enterprise analytics platforms.</p></li><li><p>
Certifications in Agile, Scrum, or Project Management (PMP, CSM, SAFe)</p></li><li><p>
Experience with Databricks, Python, R, SQL for data analysis and visualization tools (Qlik, Tableau, Power BI)</p></li><li><p>
Background in change management or organizational design within financial environments</p></li><li><p>
Strong leadership, communication, and project management capabilities; ability to synthesize complex information and deliver high-impact solutions in fast-paced environments.</p></li></ul><p><br>
What We Offer:</p><p>
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.</p><p>
Benefits include:</p><ul><li><p>
Medical, Rx, Dental &amp; Vision Insurance</p></li><li><p>
Personal and Family Sick Time &amp; Company Paid Holidays</p></li><li><p>
Position may be eligible for a discretionary variable incentive bonus</p></li><li><p>
Parental Leave and Adoption Assistance</p></li><li><p>
401(k) Retirement Plan</p></li><li><p>
Basic Life &amp; Supplemental Life</p></li><li><p>
Health Savings Account, Dental/Vision &amp; Dependent Care Flexible Spending Accounts</p></li><li><p>
Short-Term &amp; Long-Term Disability</p></li><li><p>
Student Loan PayDown</p></li><li><p>
Tuition Reimbursement, Personal Development &amp; Learning Opportunities</p></li><li><p>
Skills Development &amp; Certifications</p></li><li><p>
Employee Referral Program</p></li><li><p>
Corporate Sponsored Events &amp; Community Outreach</p></li><li><p>
Emergency Back-Up Childcare Program</p></li><li><p>
Mobility Stipend</p></li></ul><p>
About Guidehouse</p><p>
Guidehouse is an Equal Opportunity Employer&ndash;Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.</p><p>
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.</p><p>
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.</p><p>
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.</p><p>
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse&rsquo;s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant&rsquo;s dealings with unauthorized third parties.</p><p>
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.</p></div>

Senior Consultant - Financial Management Transformation (Department of War)

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>Role - Data Scientist(Stats Modelling)
</div><div>Experience Required - 7+ Years</div><br>
<div><br>
</div><div>Must Have Technical/Functional Skills</div><br>
<div><br>
</div><div>Programming: Proficiency in Python, R, and SQL.
</div><div>Mathematics/Statistics: Strong understanding of statistical techniques, probability, and linear algebra.
</div><div>Machine Learning: Knowledge of algorithms and libraries like Scikit-learn, TensorFlow, or PyTorch.</div><br>
<div><br>
</div><div>Roles &amp; Responsibilities</div><br>
<div><br>
</div><div>Core Roles and Responsibilities
</div><div>Work with the Insurance Data Science teams to develop, refine, test, and deliver model monitoring capabilities. This will include building prototype data assets, calculating metrics, constructing visualizations/dashboard prototypes, and engaging in technical review with AI/ML Engineers &amp; Data Scientists.
</div><div>Looking for model ops and model monitoring support. A scientist with strong cs/engineering skills or an engineer with strong science/analytics experience. Here are the specifics we are looking for:
</div><div>The candidate may also be called upon to perform ad-hoc data/analysis requests, manage scheduled jobs in the Domino platform, collaborate with AI/ML engineers, and other as needed tasks for improving Model Ops in the Insurance Data Science team.</div><br>
<div><br>
</div><div>1. Leverage understanding of models and collaborate with Data Scientists to refactor the code into IT maintainable solutions that follows best practices and meets appropriate coding standards.
</div><div>2. Read model development and ongoing monitoring documentation and engage with data scientists to design the needed monitoring solution for each model.
</div><div>3. Read and optimize Model development and production SQL queries to develop ground truth data sets for model monitoring activities.
</div><div>4. Design and develop prototype tables that align to USAA's data modeling and DDLC requirements for seamless traditionalization by USAA IT.
</div><div>5. Conduct thorough quality checks to ensure the accuracy and reliability of the data and processes including unit testing, run-to-run testing, etc.
</div><div>6. Code and implement solutions primarily in Python, ensuring optimal performance and scalability.
</div><div>7. Run and interpret completed model monitoring dashboards to monitor for breeches in performance and notify the respective data scientists.
</div><div>8. Work with data scientists to incorporate monitoring results into Quarto based documentation.</div><div><br>
</div>
<div></div><br>
<div>Base Salary Range : $100,000 to $140,000 Per Annum</div><br>
<div><br>
</div><div>TCS Employee Benefits Summary:
</div><div>Discretionary Annual Incentive.
</div><div>Comprehensive Medical Coverage: Medical &amp; Health, Dental &amp; Vision, Disability Planning &amp; Insurance, Pet Insurance Plans.
</div><div>Family Support: Maternal &amp; Parental Leaves.
</div><div>Insurance Options: Auto &amp; Home Insurance, Identity Theft Protection.
</div><div>Convenience &amp; Professional Growth: Commuter Benefits &amp; Certification &amp; Training Reimbursement.
</div><div>Time Off: Vacation, Time Off, Sick Leave &amp; Holidays.
</div><div>Legal &amp; Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
</div></div></div></div><div><div><div><b>Location</b></div>
<div>San Antonio, TX</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Data Scientist</div>
</div><div><div><b>Job Id</b></div>
<div>411325</div>
</div><div><div><b>Desired Skills</b></div>
<div>Data Science | Statistics</div>
</div><div><div><b>Salary Range</b></div>
<div>$100,000-$140,000 a year</div></div></div></div><div></div>

Data Scientist

<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>
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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>
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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>
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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, 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

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