associate director data & analytics

Amgen

<div><h2 class="jobSectionHeader"><b>Join Amgen&rsquo;s Mission of Serving Patients</b></h2><p>
At Amgen, if you feel like you&rsquo;re part of something bigger, it&rsquo;s because you are. Our shared mission&mdash;to serve patients living with serious illnesses&mdash;drives all that we do.</p><p>
Since 1980, we&rsquo;ve helped pioneer the world of biotech in our fight against the world&rsquo;s toughest diseases. With our focus on four therapeutic areas &ndash;Oncology, Inflammation, General Medicine, and Rare Disease&ndash; we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions. As a member of the Amgen team, you&rsquo;ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.</p><p>
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you&rsquo;ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.</p><h2 class="jobSectionHeader"><b>
Associate Director, Incentive Compensation Design &amp; Analytics, Rare Disease</b></h2><h2 class="jobSectionHeader"><b>
What you will do</b></h2><p>
Let&rsquo;s do this. Let&rsquo;s change the world. In this vital role the Associate Director, Incentive Compensation Design &amp; Analytics plays a key role in driving commercial performance for the Rare Disease Business Unit by leading the strategy, design, and governance of incentive compensation programs. This role ensures compensation plans align with brand strategy, business priorities, and field force objectives while reinforcing behaviors that support strong commercial outcomes.</p><p>
The Associate Director serves as a strategic advisor to commercial leadership on incentive compensation strategy, providing insights and recommendations that support business performance and field engagement. The role is responsible for the end to end management of incentive compensation programs, including plan design, implementation, analytics, and ongoing optimization.</p><p>
This position partners closely with sales leadership and cross functional stakeholders to develop incentive strategies that motivate the field organization, maintain fairness and transparency, and support data driven decision making. The role also oversees incentive compensation administration and operational delivery for the business unit.</p><p>
This role follows a flexible commuter model with on site work 2 to 3 days per week at either the Thousand Oaks, CA or Deerfield, IL office. Candidates located near these offices are preferred, though remote candidates may be considered.</p><p>
This position reports to the Director, Incentive Compensation.</p><p></p><ul><li><b>Serve as the primary incentive compensation partner to senior commercial leaders within the Rare Disease Business Unit</b></li><li><b>Lead the strategy, design, and implementation of annual incentive compensation plans and sales contests aligned with brand and portfolio strategy</b></li><li><b>Translate commercial strategy and field force dynamics into effective incentive plan structures, performance measures, and payout methodologies</b></li><li><b>Partner cross functionally with Sales Leadership, Brand, Forecasting, Field Effectiveness, HR, Finance, Compliance, and Analytics to develop effective compensation solutions</b></li><li><b>Partner with commercial operations and field leadership to ensure alignment between incentive compensation design, territory structure, and quota setting</b></li><li><b>Develop incentive compensation models and conduct scenario analysis to evaluate financial impact, performance distribution, and alignment with business objectives</b></li><li><b>Monitor and evaluate plan effectiveness through performance analytics, field feedback, and program reviews, recommending enhancements as needed</b></li><li><b>Generate actionable insights through incentive performance analytics and reporting to inform leadership decisions and optimize field performance</b></li><li><b>Partner with field leadership to communicate incentive plans, performance expectations, and program updates to ensure clarity and engagement across the field organization</b></li><li><b>Oversee incentive compensation administration and operational delivery, including payout calculations, validation, reporting, field inquiries, and awards programs</b></li><li><b>Manage third party vendors and operational partners responsible for incentive compensation administration and reporting delivery</b></li><li><b>Support governance and review processes for incentive compensation programs, including preparation of materials and recommendations for senior leadership and compensation review committees</b></li><li><b>Ensure compliance with company policies and industry standards related to incentive compensation programs</b></li><li><b>Identify opportunities to enhance incentive design, analytics, reporting, and operational processes and implement continuous improvements</b></li></ul><p></p><h2 class="jobSectionHeader"><b>
What we expect of you</b></h2><p>
We are all different, yet we all use our unique contributions to serve patients. The professional we seek is a collaborative and strategic leader with these qualifications.</p><p><b>
Basic Qualifications:</b></p><p>
Doctorate degree and 3 years of Incentive Compensation experience</p><p>
OR</p><p>
Master&rsquo;s degree and 5 years of Incentive Compensation experience</p><p>
OR</p><p>
Bachelor&rsquo;s degree and 7 years of Incentive Compensation experience</p><p>
OR</p><p>
Associate&rsquo;s degree and 12 years of Incentive Compensation experience</p><p>
OR</p><p>
High school diploma / GED and 14 years of Incentive Compensation experience</p><p><b>
Preferred Qualifications:</b></p><ul><li><b>3 or more years of experience designing and managing incentive compensation programs</b></li><li><b>6 or more years of sales leadership, sales operations, or commercial operations experience within a large and complex organization</b></li><li><b>Experience supporting pharmaceutical or biotechnology sales organizations</b></li><li><b>Strong knowledge of incentive compensation design, performance measurement, quota setting, and payout methodologies</b></li><li><b>Experience developing incentive compensation models, scenario analysis, and financial impact assessments</b></li><li><b>Ability to translate commercial strategy and field dynamics into effective compensation design</b></li><li><b>Strong analytical and problem solving skills with the ability to leverage data and insights to drive program effectiveness</b></li><li><b>Executive presence with the ability to influence senior leaders and collaborate across cross functional teams</b></li><li><b>Experience managing vendors or external partners supporting incentive compensation operations</b></li><li><b>Strong organizational skills with the ability to manage multiple priorities and complex timelines</b></li><li><b>Excellent communication skills with the ability to present complex concepts clearly to diverse audiences</b></li><li><b>Demonstrated ability to build strong partnerships across commercial leadership and cross functional stakeholders</b></li></ul><h2 class="jobSectionHeader"><b>
What you can expect of us</b></h2><p>
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we&rsquo;ll support your journey every step of the way.</p><p>
The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.</p><p>
In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include:</p><ul><li>
A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts</li><li>
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan</li><li>
Stock-based long-term incentives</li><li>
Award-winning time-off plans</li><li>
Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies.</li></ul><h2 class="jobSectionHeader"><b>
Apply now and make a lasting impact with the Amgen team.</b></h2><h2 class="jobSectionHeader"><b>
careers.amgen.com</b></h2><p>
In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.</p><h2 class="jobSectionHeader"><b>
Application deadline</b></h2><p>
Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.</p><h2 class="jobSectionHeader"><b>
Sponsorship</b></h2><p>
Sponsorship for this role is not guaranteed.</p><p>
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.</p><p>
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.</p><p>
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.</p></div>

Associate Director, Incentive Compensation Design & Analytics, Rare Disease

Capital One

<div>Principal Associate, Data Scientist - Anti-Money Laundering Modeling and Advanced Data Insights<p></p><p>
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.</p><p></p><p>
As a Data Scientist at Capital One, you&rsquo;ll be part of a team that&rsquo;s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.</p><p></p><p><b>
Team Description</b></p><p>
The Anti-Money Laundering (AML) Modeling and Advanced Data Insights team is on a journey to modernize the way Capital One identifies potential money laundering, fraud, terrorist financing, and human trafficking through the use of advanced analytic techniques, statistics, and machine learning models. We develop predictive models, monitoring dashboards, and reporting using tools such as AWS, Snowflake, Python, and Spark. Our team produces the model outputs and data insights to operate our AML program efficiently and effectively. As the model developer for advancing transaction monitoring with machine learning, our team is responsible for end to end development, deployment, and monitoring of production models.</p><p></p><p><b>
Role Description</b></p><p><b>
In this role, you will:</b></p><ul><li><p>
Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love</p></li><li><p>
Leverage a broad stack of technologies &mdash; Python, Conda, AWS, H2O, Spark, and more &mdash; to reveal the insights hidden within huge volumes of numeric and textual data</p></li><li><p>
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation</p></li><li><p>
Flex your interpersonal skills to translate the complexity of your work into tangible business goals</p></li></ul><p></p><p><b>
The Ideal Candidate is:</b></p><ul><li><p>
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.</p></li><li><p>
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You&rsquo;re not afraid to share a new idea.</p></li><li><p>
Technical. You&rsquo;re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.</p></li><li><p>
Statistically-minded. You&rsquo;ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.</p></li></ul><p></p><p><b>
Basic Qualifications:</b></p><ul><li><p>
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:</p><ul><li><p>
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics</p></li><li><p>
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics</p></li><li><p>
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)</p></li></ul></li></ul><p></p><p><b>
Preferred Qualifications:</b></p><ul><li><p>
Master&rsquo;s Degree in Economics or other &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in Economics or other &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics)</p></li><li><p>
At least 3 years&rsquo; experience in Python, Scala, or R</p></li><li><p>
At least 3 years&rsquo; experience with machine learning</p></li><li><p>
At least 3 years&rsquo; experience with SQL</p></li><li><p>
At least 1 year of experience working with AWS</p></li><li><p>
At least 1 year of experience with development of Generative AI models</p></li></ul><p></p><p>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.</p><p></p><p>
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.</p><p></p>
Chicago, IL: $147,100 - $167,900 for Princ Associate, Data Science<br>
<p></p>
McLean, VA: $161,800 - $184,600 for Princ Associate, Data Science<br>
<p></p>
Richmond, VA: $147,100 - $167,900 for Princ Associate, Data Science<p></p><p><br>
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.</p><p></p>
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<p></p><p>
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.</p><p></p>
This role is expected to accept applications for a minimum of 5 business days.<p></p>
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<p></p><p>
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.</p><p></p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p></p><p>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.</p><p></p><p>
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</p></div>

Principal Associate, Data Scientist - Anti-Money Laundering Modeling and Advanced Data Insights

Delivery Hero

<div><b>Company Description</b><p><br>
HungerStation is part of the Delivery Hero Group, the world&rsquo;s pioneering local delivery platform, our mission is to deliver an amazing experience fast, easy, and to your door. We operate in over 70+ countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index.</p><b><br>
Job Description</b><p><b><br>
Role Overview</b></p><p>
We are looking for a detail-oriented and analytical <b>Associate Data Analyst</b> to support business and product teams with data insights. This role is ideal for someone early in their analytics career who is eager to learn, work closely with cross-functional stakeholders, and grow within a high-impact environment.</p><p>
You will work with large datasets, build dashboards, support reporting needs, and contribute to data-driven decision-making across teams.</p><p><b>
Key Responsibilities</b></p><ul><li><p>
Extract, clean, and analyze data using SQL and other analytical tools</p></li><li><p>
Build and maintain dashboards (e.g., Tableau, Power BI, Looker, etc.) to monitor key business metrics</p></li><li><p>
Support ad-hoc analysis requests from Product, Operations, Marketing, and other stakeholders</p></li><li><p>
Identify trends, anomalies, and performance improvement opportunities</p></li><li><p>
Assist in defining KPIs and tracking performance across different initiatives</p></li><li><p>
Ensure data accuracy and consistency across reports</p></li><li><p>
Work closely with senior analysts and data engineers to improve data quality and processes</p></li><li><p>
Translate data findings into clear, actionable insights for non-technical stakeholders</p></li></ul><b><br>
Qualifications</b><p><b><br>
Experience &amp; Background</b></p><ul><li><p>
2-3 years of experience in data analysis, business intelligence, or similar role</p></li><li><p>
Bachelor&rsquo;s degree in Data Science, Statistics, Mathematics, Engineering, Computer Science, Economics, or a related quantitative field</p></li><li><p>
Strong academic background is a plus</p></li></ul><p><b>
Technical Skills</b></p><ul><li><p>
Strong SQL skills (must-have)</p></li><li><p>
Basic understanding of data modeling concepts</p></li><li><p>
Experience with Excel / Google Sheets (advanced formulas, pivot tables)</p></li><li><p>
Exposure to BI tools (Tableau, Power BI, Looker, etc.) is preferred</p></li><li><p>
Basic understanding of Python or R is a plus</p></li></ul><p><b>
Analytical &amp; Soft Skills</b></p><ul><li><p>
Strong logical thinking and problem-solving skills</p></li><li><p>
Ability to work with large datasets and attention to detail</p></li><li><p>
Good communication skills, able to explain insights in simple business language</p></li><li><p>
Eagerness to learn and grow in a fast-paced environment</p></li><li><p>
Ability to manage multiple priorities</p></li></ul><b><br>
Additional Information</b><p><b><br>
What You&rsquo;ll Gain</b></p><ul><li>
Exposure to high-impact projects across Product, Growth, and Operations</li><li><p>
Opportunity to work in a data-driven tech environment</p></li><li><p>
Strong mentorship and learning curve</p></li><li><p>
Career progression within Data &amp; Analytics</p></li></ul></div>

Associate Data Analyst-UAE Nationals only

Information Technology Senior Management Forum

<div><div><p>Posted Date</p>
<p>3/18/2026</p>
</div><div><p>Description</p>
<div>Principal Associate, Data Scientist - Anti-Money Laundering Modeling and Advanced Data Insights<p>
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.</p><p>
As a Data Scientist at Capital One, you&rsquo;ll be part of a team that&rsquo;s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.</p><p><b>
Team Description</b></p><p>
The Anti-Money Laundering (AML) Modeling and Advanced Data Insights team is on a journey to modernize the way Capital One identifies potential money laundering, fraud, terrorist financing, and human trafficking through the use of advanced analytic techniques, statistics, and machine learning models. We develop predictive models, monitoring dashboards, and reporting using tools such as AWS, Snowflake, Python, and Spark. Our team produces the model outputs and data insights to operate our AML program efficiently and effectively. As the model developer for advancing transaction monitoring with machine learning, our team is responsible for end to end development, deployment, and monitoring of production models.</p><p><b>
Role Description</b></p><p><b>
In this role, you will:</b></p><ul><li>
Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love</li><li>
Leverage a broad stack of technologies &mdash; Python, Conda, AWS, H2O, Spark, and more &mdash; to reveal the insights hidden within huge volumes of numeric and textual data</li><li>
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation</li><li>
Flex your interpersonal skills to translate the complexity of your work into tangible business goals</li></ul><p><b>
The Ideal Candidate is:</b></p><ul><li>
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.</li><li>
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You&rsquo;re not afraid to share a new idea.</li><li>
Technical. You&rsquo;re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.</li><li>
Statistically-minded. You&rsquo;ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.</li></ul><p><b>
Basic Qualifications:</b></p><ul><li>
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:<ul><li>
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics</li><li>
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics</li><li>
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)</li></ul></li></ul><p><b>
Preferred Qualifications:</b></p><ul><li>
Master&rsquo;s Degree in Economics or other &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in Economics or other &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics)</li><li>
At least 3 years&rsquo; experience in Python, Scala, or R</li><li>
At least 3 years&rsquo; experience with machine learning</li><li>
At least 3 years&rsquo; experience with SQL</li><li>
At least 1 year of experience working with AWS</li><li>
At least 1 year of experience with development of Generative AI models</li></ul><p>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.</p><p>
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.</p>
Chicago, IL: $147,100 - $167,900 for Princ Associate, Data Science<br>
<p></p>
McLean, VA: $161,800 - $184,600 for Princ Associate, Data Science<br>
<p></p>
Richmond, VA: $147,100 - $167,900 for Princ Associate, Data Science<p></p><p><br>
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.</p>
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<p>
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.</p>
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<p>
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.</p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.</p><p>
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</p>
Principal Associate, Data Scientist - Anti-Money Laundering Modeling and Advanced Data Insights<p>
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.</p><p>
As a Data Scientist at Capital One, you&rsquo;ll be part of a team that&rsquo;s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.</p><p><b>
Team Description</b></p><p>
The Anti-Money Laundering (AML) Modeling and Advanced Data Insights team is on a journey to modernize the way Capital One identifies potential money laundering, fraud, terrorist financing, and human trafficking through the use of advanced analytic techniques, statistics, and machine learning models. We develop predictive models, monitoring dashboards, and reporting using tools such as AWS, Snowflake, Python, and Spark. Our team produces the model outputs and data insights to operate our AML program efficiently and effectively. As the model developer for advancing transaction monitoring with machine learning, our team is responsible for end to end development, deployment, and monitoring of production models.</p><p><b>
Role Description</b></p><p><b>
In this role, you will:</b></p><ul><li>
Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love</li><li>
Leverage a broad stack of technologies &mdash; Python, Conda, AWS, H2O, Spark, and more &mdash; to reveal the insights hidden within huge volumes of numeric and textual data</li><li>
Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation</li><li>
Flex your interpersonal skills to translate the complexity of your work into tangible business goals</li></ul><p><b>
The Ideal Candidate is:</b></p><ul><li>
Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.</li><li>
Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You&rsquo;re not afraid to share a new idea.</li><li>
Technical. You&rsquo;re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.</li><li>
Statistically-minded. You&rsquo;ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.</li></ul><p><b>
Basic Qualifications:</b></p><ul><li>
Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:<ul><li>
A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics</li><li>
A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics</li><li>
A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)</li></ul></li></ul><p><b>
Preferred Qualifications:</b></p><ul><li>
Master&rsquo;s Degree in Economics or other &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in Economics or other &ldquo;STEM&rdquo; field (Science, Technology, Engineering, or Mathematics)</li><li>
At least 3 years&rsquo; experience in Python, Scala, or R</li><li>
At least 3 years&rsquo; experience with machine learning</li><li>
At least 3 years&rsquo; experience with SQL</li><li>
At least 1 year of experience working with AWS</li><li>
At least 1 year of experience with development of Generative AI models</li></ul><p>
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.</p><p>
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.</p>
Chicago, IL: $147,100 - $167,900 for Princ Associate, Data Science<br>
<p></p>
McLean, VA: $161,800 - $184,600 for Princ Associate, Data Science<br>
<p></p>
Richmond, VA: $147,100 - $167,900 for Princ Associate, Data Science<p></p><p><br>
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate&rsquo;s offer letter.</p>
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.<p>
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.</p>
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City&rsquo;s Fair Chance Act; Philadelphia&rsquo;s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.<p>
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.</p><p>
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com</p><p>
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.</p><p>
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).</p></div>
</div><div><p>Salary</p><p>
147,100.00 - 167,900.00 Annual</p>
</div><div></div><div><div><p>Type</p><div><p>
Full-time</p></div></div></div></div>

Ankura

<div>
 Ankura is a team of excellence founded on innovation and growth.
 <br/>
 <br/>
 Our Data Analytics team sits within the Risk Advisory practice, which is one of six practices focused on client delivery services across the Firm.
 <br/>
 <br/>
 <strong>
  Practice
  <br/>
  <br/>
 </strong>
 We help businesses, government entities, and law firms to address their most complex and pressing concerns and make well informed decisions, using some of the most advanced analytics and technology, tools, and techniques.
 <br/>
 <br/>
 We are looking for a passionate and technically skilled software engineer to join our Data Analytics team. This is a great opportunity to work on real-world AI projects, including training large language models (LLMs), data modeling, and AI hardware testing. You will also help research, test, and customize advanced AI solutions both on-premise and in the cloud.
 <br/>
 <br/>
 <strong>
  Why Join Ankura
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   We can support and develop individuals who aspire to be an expert.
  </li>
  <li>
   Vast opportunities for career development, with formal development process, training programmes and internal e-learning training platform, Ankura Academy.
  </li>
  <li>
   Work with leading experts in an established leading global consultancy.
  </li>
  <li>
   Work in a collaborative environment, where our professionals have the freedom to innovate, which promotes curiosity, learning, and communication.
  </li>
  <li>
   Assist with project scoping calls and developing work stream process plans.
  </li>
  <li>
   Work with the solutions and delivery teams to design, develop, and deploy cutting-edge AI solutions that solve real business challenges and create new opportunities for innovation.
  </li>
  <li>
   Assist in testing machine learning models, including LLMs (e.g., GPT, LLaMA, Falcon).
  </li>
  <li>
   Identify and assess business problems that can be addressed using AI technologies.
  </li>
  <li>
   Conduct comparative research on available ML/LLM models (cloud-based, proprietary, and open source).
  </li>
  <li>
   Drive innovation by exploring emerging trends in AI and proposing relevant pilots or proofs-of-concept.
  </li>
  <li>
   Provide support in data preparation, preprocessing, and pipeline optimization.
  </li>
  <li>
   Conducting quality control checks to ensure accuracy of tasks/deliverables;
  </li>
  <li>
   Assist in the preparation of reports, written analyses, trial and other presentations, quantitative exhibits, and other client deliverables; and
  </li>
  <li>
   Maintain detailed working records reflecting assumptions, methodologies, and information sources employed during the performance of all analytical tasks.
  </li>
  <li>
   Identify, research, and organise information to assess the appropriateness and sufficiency of available data to facilitate effective data access and analysis; and
  </li>
  <li>
   Design innovative approaches to solve data related challenges.
  </li>
  <li>
   Self and team development
  </li>
  <li>
   Responsible for self, peer and Associate task management within a variety of sized projects, including interaction with other team members, professionals from other firms involved in the engagement, and client personnel; and maintain a professional image within the company and project the same to those outside of the company.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A Science, Mathematical and Quantitative based bachelor&rsquo;s degree or equivalent. For example, but not limited to Maths, Physics, Engineering, Computer Science etc.
  </li>
  <li>
   1&ndash;2 years of hands-on experience in AI/ML related projects. Strictly no vibe coding.
  </li>
  <li>
   Knowledge of machine learning principles, neural networks, and data modelling.
  </li>
  <li>
   Experience with Python and ML libraries (e.g., scikit-learn, TensorFlow, PyTorch) is a must.
  </li>
  <li>
   Good understanding of ETL processes and experience in manipulating and analysing large amounts of data.
  </li>
  <li>
   Interest in AI hardware and performance benchmarking.
  </li>
  <li>
   Strong research and analytical skills.
  </li>
  <li>
   Strong work ethic, eagerness to learn, and motivation to succeed.
  </li>
  <li>
   Experience working in a team-orientated environment.
  </li>
  <li>
   Excellent communication (both written and verbal), mathematical, and organisational skills.
  </li>
  <li>
   Ability to work both independently and as part of a team in a high-paced, multi-task environment with attention to detail.
  </li>
  <li>
   Ability to interface with team members and client personnel in demanding, deadline-driven situations.
  </li>
  <li>
   Flexibility with respect to assigned tasks and engagements due to challenging deadlines, changing deliverables, and evolving task priorities.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Desirable
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Good understanding of enterprise IT infrastructure and networking.
  </li>
  <li>
   Good understanding and experience with other programming languages such as Java and R.
  </li>
  <li>
   Proficient in data engineering using data stores including MS SQL Server, Oracle, NoSQL, Hadoop or other distributed data technologies.
  </li>
  <li>
   Exposure to cloud platforms (AWS, Azure, GCP).
  </li>
  <li>
   Willingness to travel internationally for both short- and long-term client engagements
   <br/>
   <br/>
  </li>
 </ul>
 Ankura is an Affirmative Action and 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 based on disability. Equal Employment Opportunity Posters, if you have a disability and believe you need a reasonable accommodation to search for a job opening, submit an online application, or participate in an interview/assessment, please email accommodations@ankura.com or call toll-free +1.312-583-2122. This email and phone number are created exclusively to assist disabled job seekers whose disability prevents them from being able to apply online. Only messages left for this purpose will be returned. Messages left for other purposes, such as following up on an application or technical issues unrelated to a disability, will not receive a response.
</div>


Associate, Risk Advisory, Data Analytics (Dubai)

Ibility

<div><div>Founded in early 2021, Ibility is a Service-Disabled Veteran-Owned Small Business and a Woman-Owned Small Business, headquartered in Gaithersburg, MD. Ibility is a small but mighty company that is positioned for rapid growth. Simply put, we help government leaders to achieve their mission by designing creative products and programs that delight their customers and make their employees more efficient - building trust and improving overall satisfaction. We use human-centered design principles in every engagement because we believe the end-user is critical to the long-term success of any solution. Our team is fun, passionate, bold, and creative. We live our mission every day &ndash; to inspire people, create cool stuff, and make a lasting impact on the world!</div><div></div><div><div><br>
<p><b>
Job Summary:</b></p>
</div>
<div><p>The Data Analytics Associate Fellowship is a 9-month, paid, experiential program embedded with the Ohio Army National Guard Recruiting and Retention Command. Fellows work directly alongside OHARNG leadership on one of the most data-intensive missions in the state National Guard system by producing analysis that directly informs recruiting, retention, and readiness decisions impacting thousands of soldiers.</p>
</div>
<div><p>Unlike traditional entry-level roles, this fellowship offers immediate, substantive responsibility from day one. You will develop highly transferable skills valued across the federal government and defense contracting sector, supported by a team committed to your professional growth. Fellows who demonstrate strong performance and initiative will be considered for fellowship extension or long-term engagement.</p>
</div>
<div><p>The ideal candidate is a self-starter; an individual who takes ownership of their work, asks the right questions, and drives solutions without waiting to be told what to do next. If you thrive in fast-paced environments and want your first job to matter, this is the opportunity for you.</p>
</div>
</div><h3 class="jobSectionHeader"><b>Key Responsibilities:
</b></h3><div><div><div><ul><li><p>Analyze, develop, and maintain personnel, recruiting, readiness, and retention data reports for OHARNG leadership, including recurring briefings, market share analysis, production tracking, and recognition reporting</p>
</li>
</ul></div><div><ul><li><p>Design, build, and maintain enterprise Power BI dashboards and automated reporting suites; implement Power Automate workflows and SharePoint-based data pipelines to reduce manual reporting burden</p>
</li>
</ul></div><div><ul><li><p>Develop and execute reports and queries across multiple government data systems</p>
</li>
</ul></div><div><ul><li><p>Validate and reconcile data across systems to ensure accuracy, consistency, and integrity; submit and track tickets with system owners to resolve data discrepancies</p>
</li>
</ul></div><div><ul><li><p>Provide data analysis and visualization support for state retention planning, extension tracking, IRR reporting, and monthly PR2 leadership briefings</p>
</li>
</ul></div><div><ul><li><p>Support the Schools Program through eligibility reporting, Order of Merit List maintenance, data system updates, and school budget analysis as directed</p>
</li>
</ul></div></div><div><div><ul><li><p>Lead reconnection, validation, and rebuild of all Power BI reporting assets as part of the Army-directed enterprise migration to the Army Vantage / Palantir platform</p>
</li>
</ul></div><div><ul><li><p>Develop SOPs, training materials, and user-facing tools; facilitate stakeholder office hours and cross-functional working groups to drive adoption of automated reporting solutions</p>
</li>
</ul></div><div><ul><li><p>Prepare and deliver executive briefings and presentations for Recruiting Battalion and senior OHARNG leadership on national rankings, demographics, DPRO data, and state comparisons</p>
</li>
</ul></div><div><p><b>Working Conditions and Location:</b></p>
</div>
<div><ul><li><p>Candidate must be available to report in person to Beightler Armory, 2825 W Dublin Granville Rd, Columbus, OH 43235, 5 days a week (Monday &ndash; Friday) 8:00 am &ndash; 5:00 pm EST</p>
</li>
</ul></div><div><ul><li><p>Standard office environment with occasional remote coordination with clients</p>
</li>
</ul></div><div><ul><li><p>Hybrid coordination with remote teammates; some travel for training/meetings may be required</p>
</li>
</ul></div><div><ul><li><p>May require handling of sensitive or controlled information</p>
</li>
</ul></div><div><ul><li><p>Fast-paced, goal-driven environment handling sensitive personnel data</p>
</li>
</ul></div><div><p><b>Qualifications </b><b>Required:</b></p>
</div>
<div><ul><li><p><b>Ability to report in person to Beightler Armory, Columbus, OH (Mon&ndash;Fri, 8:00 AM &ndash; 5:00 PM EST)</b></p>
</li>
</ul></div><div><ul><li><p>Bachelor's degree completed by June 2025 (or within 3 months of application) in a relevant field</p>
</li>
</ul></div><div><ul><li><p>U.S. citizenship and ability to handle sensitive government information</p>
</li>
</ul></div><div><ul><li><p>Working knowledge of Microsoft Excel (formulas, pivot tables, data manipulation)</p>
</li>
</ul></div><div><ul><li><p>Familiarity with data visualization tools (Power BI, Tableau, or similar)</p>
</li>
</ul></div><div><ul><li><p>Strong analytical thinking and problem-solving skills developed through coursework or project work</p>
</li>
</ul></div><div><p><b>Preferred</b></p>
</div>
</div><div><div><ul><li><p>Hands-on experience with Microsoft Power BI, Power Automate, or SharePoint (academic projects count!)</p>
</li>
</ul></div><div><ul><li><p>Exposure to SQL, Python, or R for data querying and analysis</p>
</li>
</ul></div><div><ul><li><p>Prior internship, co-op, capstone, or research experience involving real-world data</p>
</li>
</ul></div><div><ul><li><p>Prior National Guard, ROTC, or military-affiliated experience</p>
</li>
</ul></div><div><ul><li><p>Familiarity with government or DoD data environments</p>
</li>
</ul></div><div><ul><li><p>Familiarity with the Army Vantage / Palantir platform or other enterprise government data environments</p>
</li>
</ul></div><div><ul><li><p>Experience with requirements gathering, stakeholder facilitation, and cross-functional working groups</p>
</li>
</ul></div><div><ul><li><p>Ability to work with hybrid teams of contractors and government personnel</p>
</li>
</ul></div></div></div><div>We are committed to diversity, inclusion, and accessibility. We are an Equal Opportunity Employer in all aspects of employment and do not discriminate for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.</div>
<p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div>

Data Analytics Associate Fellowship

The Walt Disney Company

<div><div><b>Job ID</b> 10145577 <b>Location</b> New York, New York, United States <b>Business</b> Disney Direct to Consumer <b>Date posted</b> Mar. 18, 2026
<div><h4 class="jobSectionHeader"><b>Job Summary:</b></h4>
<div><p>Disney&rsquo;s Direct-to-Consumer Data team is seeking a Data Analyst to join the Product &amp; Tech Analytics group. This role is a unique entry point into the world of <b>Ad Experimentation</b>, sitting at the intersection of premium content and a high-scale revenue engine.</p><p></p><p>
We are looking for a motivated analyst who is ready to move beyond basic reporting and start driving business value. While this is an operationally fast-paced area, you will be part of a collaborative team that provides the mentorship and technical support needed to succeed. This is a perfect opportunity for someone who brings a fresh perspective to data, enjoys solving puzzles, and is eager to take ownership of their professional growth within a world-class analytics organization.</p><p></p><p><b>
What You Will Do</b></p><ul><li><p><b>
Support the Ads Roadmap:</b> Work with a manager and other analysts to design and analyze A/B tests that balance the user experience with key revenue goals.</p></li><li><p><b>
Partner with Ads product teams</b> to shape meaningful questions, define success metrics, and guide decision-making throughout the product development lifecycle, from early ideation to post-launch evaluation.</p></li><li><p><b>
Be a Process Thinker:</b> We value fresh eyes. As you learn our workflows, you&rsquo;ll be encouraged to suggest more efficient ways to organize data or deliver insights.</p></li><li><p><b>
Collaborative Partnering:</b> Act as a data resource for our Ads Product teams. You&rsquo;ll participate in cross-functional meetings, learning how to navigate shifting requirements and translate them into technical tasks.</p></li><li><p><b>
Insight Discovery:</b> Use SQL and Python to explore user behavior. You&rsquo;ll move beyond &quot;what happened&quot; to help the team understand &quot;why it happened.&quot;</p></li><li><p><b>
Data Storytelling: </b>Translate complex data into clear, compelling stories that resonate with a wide range of audiences, from technical stakeholders to executive leadership, helping to drive alignment and action.</p></li></ul><p></p><p><b>
Basic Qualifications</b></p><ul><li><p>
Curiosity, analytical skills, and a drive for insights that impact business outcomes</p></li><li><p>
Proficiency in SQL, Python, or R for complex querying and analysis</p></li><li><p>
Proficiency with tools such as Tableau, Looker, MicroStrategy, or Plotly</p></li><li><p>
Ability to build relationships with teammates, business partners, and technical colleagues</p></li><li><p>
Experience with A/B testing methodologies for digital products</p></li></ul><p></p><p><b>
Preferred Qualifications</b></p><ul><li><p>
Ability to identify and appropriately call out issues to leadership</p></li><li><p>
Strong motivation and ability to work independently</p></li><li><p>
Outstanding written and oral communication skills</p></li><li><p>
Sense of humor</p></li><li><p>
Unique passions or areas of interest that influence the way you interact with others and/or do your job</p></li></ul><p></p><p><b>
Required Education</b></p><ul><li><p>
A Bachelor&rsquo;s degree in Engineering, Computer Science, Statistics, Economics, Mathematics, Finance, or related field.</p></li></ul><br>
<p></p>
The hiring range for this position in New York, NY is $80,700 to $108,100. The base pay actually offered will take into account internal equity and also may vary depending on the candidate&rsquo;s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.</div></div></div></div>

Associate Data Analyst

Search 10000+ Associate director data & analytics jobs near you this March. New roles added regularly across leading industries. Apply today.

10000 associate director data & analytics jobs Near Me

Associate Director, Incentive Compensation Design & Analytics, Rare Disease

Principal Associate, Data Scientist - Anti-Money Laundering Modeling and Advanced Data Insights

Associate Data Analyst-UAE Nationals only

Principal Associate, Data Scientist - Anti-Money Laundering Modeling and Advanced Data Insights

Associate, Risk Advisory, Data Analytics (Dubai)

Data Analytics Associate Fellowship

Associate Data Analyst