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senior data scientist

VantageScore®

<div>
 
 
 About VantageScore
 
 
 
 
 At VantageScore we drive impact for good on a massive scale impacting tens of millions of people across the United States. Our mission is to be the leading credit modeling company delivering the most predictive, most innovative, and most inclusive tri-bureau models and attributes in the US market. Our innovation is increasing access for millions more Americans to financial products and homeownership. Our models are among, if not the most, inclusive in the United States and power billions of credits scores a year.
 
 
 
 
 
 
 
 We are fueled by a growing, exceptionally talented team and are actively seeking individuals who can join us in driving us toward our ambitious goals. At VantageScore, you&rsquo;ll have the unique opportunity to work within a fast-paced, independent start-up culture while enjoying the financial stability that comes from being backed by the three leading US credit bureaus.
 
 
 
 
 
 
 
 VantageScore&reg; consumer credit scoring models combine the need for both financial inclusion and dependable predictiveness across all scoring ranges. An industry thought leader and technology innovation leader, the company&rsquo;s most recent models score approximately 94 percent of all adults 18 and older - including 33 million more people than conventional models - without sacrificing safety and soundness. As a result, lenders using VantageScore can extend credit to those who have been historically marginalized, including minority and lower-to-middle-income Americans. VantageScore credit scores are used by over 3,700 banks, fintechs and other companies use VantageScore credit scores every day to assess consumer creditworthiness.
 
 
 
 
 
 
 
 Last year, over 42 billion VantageScore credit scores were used representing a 55% yearly increase. All 10 US banks use VantageScore credit scores or digital tools in one or more line of business. Starting in 2025 the FHFA has required VantageScore credit scores to be used for all mortgages sold to, or guaranteed by, Fannie Mae and Freddie Mac. Get started using VantageScore credit scores today - we are the leader in predictive power and financial inclusion.
 
 
 
 
 
 
 
 About The Role
 
 
 
 
 We are seeking a highly motivated and innovative&nbsp;
 
 
 Senior Data Scientist (AI/ML)
 
 &nbsp;to join our brilliant team of analytics professionals and developers, supporting the cutting-edge development of credit scoring models, generation of unique insights, and delivery of transformative technologies rooted in innovative value propositions.
 
 
 
 
 
 In this role, you will be essential to credit score model innovation, credit and open banking related research initiatives, pilot program analyses with lenders and fintech partners, and ongoing model monitoring and reporting processes. You&rsquo;ll bring your expertise in AI/ML and GenAI/Large Language Models (LLMs) to advance our use of structured and unstructured data to deliver new products and insights.
 
 
 
 
 
 You&rsquo;ll partner cross-functionally to deliver scalable AI-powered products and solutions that redefine how consumers engage with credit - ensuring our models are accurate, explainable, and aligned with our mission to empower responsible lending and financial inclusion.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Conduct advanced research on structured and unstructured data, developing insights to support product management and new product development.
 </li>
 <li>
 Contribute to the design, development, evaluation, and deployment of machine learning (ML) models, including credit risk and predictive models.
 </li>
 <li>
 Serve as the team&rsquo;s expert on GenAI/LLMs, adapting and fine-tuning models and ensuring explainability and compliance.
 </li>
 <li>
 Drive pilot program analyses, including back-testing, rejection inference, and performance analyses using diverse data sets.
 </li>
 <li>
 Improve and maintain existing model monitoring processes and develop compelling data visualizations and dashboards to communicate key insights to stakeholders.
 </li>
 <li>
 Partner with engineers to operationalize models into production systems, ensuring scalability and resilience at high data and inference volumes.
 </li>
 <li>
 Research and apply emerging AI/ML, GenAI/LLM technologies, staying abreast of state-of-the-art methods, tools, and best practices.
 </li>
 <li>
 Translate complex analyses into clear, actionable business recommendations for both technical and non-technical audiences.
 </li>
 <li>
 Contribute to thought leadership through white papers, presentations, and insights shared internally and externally.
 </li>
 </ul>
 
 
 
 
 
 Basic Qualifications
 
 
 <ul>
 <li>
 Master&rsquo;s or PhD degree in a quantitative field (e.g., Data Science, Applied Mathematics/Statistics, Computer Science, Engineering, Econometrics).
 </li>
 <li>
 A minimum of 5 years of professional experience in advanced analytics, AI/ML/LLM, and data science in research and/or corporate environments.
 </li>
 <li>
 Proficiency in Python for data science and machine learning workflows.
 </li>
 <li>
 Proven experience with machine learning techniques (classification, clustering, regression, neural networks) for predictive risk and credit modeling.
 </li>
 <li>
 Strong track record of conducting research, developing analyses, and producing clear and impactful presentations or publications.
 </li>
 <li>
 Experience delivering insights and solutions that drive business impact.
 </li>
 <li>
 Experience working in Agile and cross-functional teams.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills &amp; Experience
 
 
 <ul>
 <li>
 Deep expertise in GenAI - Natural Language Processing (NLP) and Large Language Models (LLMs) - including training, fine-tuning, explainability, and deployment.
 </li>
 <li>
 Deep expertise in advanced ML techniques (self-supervised learning, training optimization, explainability) with focus on credit scoring.
 </li>
 <li>
 Proficiency with modern ML/AI technology stack, such as PyTorch, AWS and related tools.
 </li>
 <li>
 Experience delivering innovative, scalable AI/ML solutions integrated into production platforms.
 </li>
 <li>
 High-level analytical problem-solving ability, with creativity in defining and solving ambiguous problems.
 </li>
 <li>
 Exceptional communication skills, able to convey technical concepts to diverse stakeholders.
 </li>
 <li>
 Self-motivated with a collaborative mindset and leadership presence - capable of challenging the status quo and championing innovation.
 </li>
 </ul>
 
 
 
 
 
 Additional
 
 
 <ul>
 <li>
 Generous Benefits: 401(K) matched up to 7%, Flexible Time Off, 12 Paid Holidays, Medical/Dental/Vision/Wellness benefits, Monthly Team Events, Modern Work/Collaboration Spaces
 </li>
 <li>
 
 Join Us and Be the Catalyst of Change in Fintech!
 
 &nbsp;Are you a Senior Data Scientist who thrives on innovation and has a deep passion for fintech? We invite you to take the leap and join our team. Together, let&rsquo;s embark on a mission to redefine the industry and propel your career to new heights at VantageScore!
 </li>
 </ul>
</div>

Senior Data Scientist (AI/ML/GenAI Specialist)

EastPort Analytics

<div>Description:

At Eastport Analytics, our data subject matter experts, technologists, and domain specialists work directly with financial investigators, auditors, and analysts to modernize data strategies and improve law and tax enforcement. We measure success by our client&rsquo;s mission accomplishments, including higher compliance and improved asset recovery.
As a Data Scientist at Eastport Analytics, you will utilize advanced expertise in SQL and Python to drive innovation and provide actionable insights through high-fidelity data manipulation and complex analysis.
Specific Responsibilities Include:<ul><li>
Infrastructure and Data Lifecycle: Develop and implement databases and collection systems to acquire data from primary and secondary sources while documenting SQL models for efficient data management.</li><li>
Advanced Analytics: Perform comprehensive data manipulation, wrangling, and exploratory data analysis (EDA) to identify and interpret complex trends within large-scale datasets.</li><li>
Strategic Decision Support: Utilize statistical software and modeling techniques to provide synthesized, actionable insights that inform senior leadership and client stakeholder decision-making.</li><li>
Storytelling and Communication: Convey complex technical findings to non-technical domain users through advanced data visualization, briefings, and executive-level slide decks.</li><li>
Cross-Functional Collaboration: Partner with the multi-disciplinary teams to extract and translate insights from both structured and unstructured data sources.</li><li>
Project Execution: Manage multiple high-priority projects simultaneously under strict deadlines within a collaborative environment.</li></ul>
Requirements:
<ul><li>Bachelor&rsquo;s degree in a quantitative field (e.g., Data Science, Applied Mathematics, Statistics); Master&rsquo;s degree or data science boot camp a plus.</li><li>
Two+ years in a data science role; experience in federal financial regulatory environments (e.g., Treasury) or government contracting preferred.</li><li>
Advanced proficiency in Python (Pandas, NumPy, Matplotlib) and SQL for architecting and modifying complex code within Relational Database Management Systems (RDBMS).</li><li>
Experience leveraging Cloud Data Warehousing (CDW) solutions to query and extract insights from high-volume, large-scale datasets.</li><li>
Understanding of descriptive/inferential statistics and regression modeling, with the ability to leverage generative AI, such as LLMs, and agent-based coding to automate workflows.</li><li>
Proficiency in diverse data science technologies (e.g., PyTorch, TensorFlow, Scikit-learn, NLP, R/SAS, Plotly, NoSQL) and data visualization tools such as Power BI and Excel.</li><li>
Experience with Palantir products a plus.</li><li>
Must be able to pass a background investigation to obtain and maintain a Public Trust determination; U.S. Citizenship or Permanent Resident status required.</li><li>
Remote position requiring availability to collaborate during core business hours (9:00 AM &ndash; 5:00 PM EST) and attend quarterly in-person meetings in the Washington, D.C. area.</li></ul>
Eastport Analytics &ndash; Delivering Insight for Over 25 Years
Eastport Analytics partners with Federal agencies to strengthen and evolve mission-critical analytic systems that drive compliance, enforcement, and investigative outcomes. Our specialized analytic expertise, combined with a mission-first approach, ensures agencies extract maximum value from the tools, data, platforms, and processes they rely on today while building the capacity to meet tomorrow&rsquo;s challenges. Working side by side with Federal teams, we deliver practical, sustainable solutions that enhance analytic effectiveness, support core missions, and enable agencies to act with clarity, efficiency, and confidence.
Compensation &amp; Benefits
The estimated base salary for this position is $103,000 to $127,000 (annualized USD). This role is eligible for bonus pay and a competitive benefits package. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, market factors, and where applicable, licensure or certifications obtained.
Eastport Analytics offers a full suite of benefits to help employees thrive professionally and personally including a balanced work life culture, unlimited PTO and radical flex time, employer funded health reimbursement account (HRA) to cover deductibles for health insurance, employer funded 401K, professional development, an inclusive professional work environment, fun quarterly events, and more.
Equal Opportunity Employer
Eastport Analytics, Inc. is proud to be an equal opportunity employer. We welcome and support all qualified applicants regardless of race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, hair texture or protected hairstyle, veteran status, or genetic information. We are also committed to providing reasonable accommodations during the job application and interview process. To request accommodations, contact: hr@eastportanalytics.com.
Fraud Prevention Notice
IMPORTANT- Eastport Analytics only communicates with candidates using @eastportanalytics.com email domain.</div>

Data Scientist

Swayable

<div>
 
 About Swayable:
 
 
 
 Swayable is a fast-growing AI and automated data science platform that measures public opinion and the impact of messages and advertising content on it. We are a 40-person team backed by top technology and social impact investors, including Y Combinator. Founded in 2018 by physics PhDs, it is led by the former Executive Director for Digital Strategy at the New York Times. Clients include major consumer-facing brands (American Express, Airbnb, Paramount Pictures), technology companies (Anthropic, Meta, Amazon), academic researchers (MIT, Yale, Stanford) and mission-aligned civic advocacy campaigns (e.g. on climate, human rights and elections).
 
 
 Joining Swayable means being on a team whose work changes the course of history. The technology we develop is at the leading edge of transforming some of the world's most important campaign organizations and enterprises: combatting disinformation, protecting democracy, and supporting the sustainable growth of consumer-facing brands. Check our our values &amp; culture deck to learn more: https://tinyurl.com/4zjchwzs
 
 
 
 About The Role:
 
 
 
 This is a uniquely exciting opportunity to tackle critical unsolved problems in public opinion research and causal modeling. As a Research Data Scientist (reporting to the Director of Data Science), you'll have the infrastructure and talent around you to turn results into new discoveries, prototypes and features that deliver insights to the world's most important organizations.
 
 
 
 What You'll Do:
 
 
 
 <ul>
 <li>
 Conduct data science research to push our experimental methodologies to the bleeding edge of social science
 </li>
 <li>
 Develop robust tools to uncover insights in experimental data
 </li>
 <li>
 Prototype data science improvements to core platform features
 </li>
 <li>
 Communicate the results of data science investigations to both internal and
 
 
 </li>
 </ul>
 
 Who You Are:
 
 
 
 <ul>
 <li>
 Fluency in the python data science stack
 </li>
 <li>
 Expertise in statistical, analytical, and data science methods
 </li>
 <li>
 Excellent communication and data visualization skills
 </li>
 <li>
 Ability to work independently, prioritizing multiple important tasks/deadlines
 </li>
 <li>
 A keen eye for the 20% of effort that delivers 80% of the results
 </li>
 <li>
 Being a flexible team player whose values align with ours
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Experience writing and reviewing production-quality python code.
 </li>
 <li>
 Experience working in a fast-moving startup environment
 </li>
 <li>
 Experience interacting with MongoDB databases
 </li>
 <li>
 Bachelors/Masters/PhD in data science, statistics, physics, mathematics, bioinformatics, computer science, or a related quantitative field.
 
 
 </li>
 </ul>
 
 Benefits
 
 :
 
 
 <ul>
 <li>
 100% Medical, Dental &amp; Vision Plans - no employee contribution required
 </li>
 <li>
 Generous PTO
 </li>
 <li>
 Equity Options
 </li>
 <li>
 401k plan, FSA
 </li>
 <li>
 Ongoing professional development investments
 </li>
 <li>
 Salary: $125-$165k, dependent on experience and location
 
 
 </li>
 </ul>
 Swayable is an equal opportunity employer. We strive to promote an organizational environment that values diversity and fosters growth. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other basis prohibited by law. The team especially encourages applicants from underrepresented backgrounds.
</div>

Research Data Scientist

American College of Cardiology (ACC)

<div>The data scientist plays a key role in advancing the analytical engine behind the National Cardiovascular Data Registries (NCDR). This role drives the development of clinical datasets, powers quality and performance measure reporting, and strengthens ACC&rsquo;s registry science through advanced analytics, SQL‑based measure implementation, and emerging AI‑driven solutions. You&rsquo;ll help shape smarter, more efficient processes by validating and optimizing registry data and models, ensuring accuracy and high‑quality outputs that directly support clinicians and participants nationwide. Success in this role calls for strong analytical thinking, problem‑solving skills, and the ability to stay organized in a dynamic, matrixed environment while collaborating closely with the NCDR Data Science and Analytics team.</div>
 <div><div>At the American College of Cardiology, we bring our hearts to work.
We are a 500-person organization dedicated and committed to our mission to transform cardiovascular care and improve heart health for all for more than 75 years. When you join our team, you become part of a culture that envisions a world where science, innovation and knowledge optimize cardiovascular care and outcomes.
Every day, we are committed to supporting our more than 60,000 members and their patients around the globe and in doing so, ensure our staff have a positive environment of teamwork, collaboration, professionalism and excellence. To learn more about why ACC has been recognized as a great place to work, please visit our site, www.acc.org/jobs .
What We Offer:
 
ACC values all members of our College family, including ACC staff. As the foundation of the organization, ACC staff enjoy world-class benefits and a culture of work-life balance. Our benefit offerings include insurance (medical, dental, vision, basic life, and short- and long-term disability, and supplemental options), generous paid time off (pre-loaded vacation and sick, 12 holidays and an organizational shut-down during the last week of the year, parental leave, 2 community service days, and half-day summer Fridays), tuition assistance and a very competitive 10% retirement contribution after a year of service, and much more! You can visit our careers site for an overview of our full offerings. Please note that these offerings may change at any time.
ACC believes in fair and equitable pay. Multiple factors are taken into consideration when we determine what salary to offer a selected candidate. These factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate&rsquo;s work experience, education and training, as well as internal equity, market, and business considerations. Our salary ranges differ based on the cost of labor in the local market where the job will be performed.
 
The salary ranges for will vary based on the local labor market; ACC&rsquo;s Recruitment Team will be able to provide more information to candidates during initial discussions.
EEOC:
 
ACC is proud to be an equal opportunity and affirmative action employer. We celebrate diversity and are committed to creating an inclusive environment for all candidates and employees. All employment is decided on the basis of qualifications, merit and business need. Equal Opportunity Employer, including individuals with disabilities and veterans. ACC is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact Katie Sarreal, HR Business Partner at ksarreal@acc.org or (202)375-6351.</div></div>
 <div>Required:
<ul><li>Masters with 3+ years relevant experience or Bachelors with 4+ years relevant experience training in data management, data quality, health care, computer science, or a related field.
</li><li>Hands-on experience building, validating and deploying predictive models (including both statistical and machine learning models).
</li><li>Strong experience using data analytics and/or visualization software and tools such as PowerBI, SQL, SAS, Python, or similar products.
</li><li>Excellent problem solving and analytical skills.
</li><li>Demonstrated AI literacy, including understanding of generative AI, RAG, and staff‑facing productivity AI tools.
</li><li>Strong project management skills with the ability to manage multiple tasks simultaneously and set priorities under strict deadlines.
</li><li>Demonstrated ability to embrace changing organizational needs, shifting priorities, and evolving responsibilities.
</li><li>Client service orientation and interpersonal skills with the ability to build effective relationships with diverse constituents and work across teams, departments, and functions.
</li><li>Ability to self-initiate, advance work with minimal direction, and follow through on projects.
</li><li>Advanced working knowledge of Microsoft Office Products (Word, Excel, PowerPoint), familiarity with SharePoint and version control software (e.g., Git). 
</li></ul>Desired:
<ul><li>Familiarity with protected health information (PHI) data and privacy requirements.
</li><li>Experience developing and working with clinical measures and/or clinical informatics.
</li><li>Advanced degree and/or additional experience working with health data.
</li><li>Experience in coordinating cross-functional teams to implement AI solutions in business process and operations.
</li><li>Knowledge of natural language processing (NLP) or large language modeling (LLM) techniques and healthcare AI applications.
</li><li>Understanding of ethical AI principles and regulatory compliance in healthcare.</li></ul></div>
 <div>Dataset Development Functions:
<ul><li>Perform frequency and other possible analysis, e.g., descriptive statistical, on data element submission rates and clinical metric reporting application to inform dataset development by internal staff and volunteer workgroups.
</li><li>Conduct assessments (e.g. rule-based, correlation analysis) to identify redundant data elements and recommend reductions as well as standardization across datasets.
</li><li>Manage registry data elements for automated upgrades.
</li><li>Develop ongoing monitoring views into data submission rates to inform threshold submission requirements, shifts in clinical characteristics at the facility and patient level, and other dataset-based analysis, such as for clinical research purposes, as well as potential correlations within data element submission completeness to complexity of patient populations to support customer coding.
</li><li>Perform analysis to support clinical measurement staff and volunteer workgroups and Steering committees develop and report meaningful measures as well as identify candidate measures to be sunset due to low reporting frequencies associated with low data element capture completeness provided in submissions.
</li><li>Collaborate with clinical measure development and IT teams to propose data visualization approaches to increase ease of interpretability of measures for customers.
</li>Develop ongoing monitoring of clinical measures reported across registry dashboards to identify to extent reasonable variations in outcomes. 
<li>
</li></ul>Measure Development Functions:
<ul><li>Perform analysis to support clinical measurement staff and volunteer workgroups and Steering committees develop and report meaningful measures as well as identify candidate measures to be sunset due to low reporting frequencies associated with low data element capture completeness provided in submissions.
</li><li>Collaborate with clinical measure development and IT teams to propose data visualization approaches to increase ease of interpretability of measures for customers.
</li>Develop ongoing monitoring of clinical measures reported across registry dashboards to identify to extent reasonable variations in outcomes. 
<li>
</li></ul>Clinical Informatics Function:
<ul><li>Collaborate with staff and volunteer committee and work group members in identify opportunities to align with external structured terminologies and/or apply large language modeling (LLM) approaches to ease effort associated with data capture by customers for submission to NCDR.
</li><li>Assist on projects as identified, such as to explore novel mechanisms to import clinical data to expand view of patient care and outcomes including applications to clinical measurement reporting; or to support efficiencies in data export out of electronic medical record systems or other data environments, e.g., lakes, for customers or third-parties, e.g., certified software vendors. 
</li></ul>General:
<ul><li>Learn the NCDR Common Data Model (CDM) structure to be able to interpret code and conduct quality-checks for measures and models.
</li><li>Monitor and analyze AI industry trends and identify opportunities to apply AI techniques to improve internal efficiency assess customer adoption of AI in registry contexts.
</li><li>Use analytic approaches through tools such as SQL and Excel to identify opportunities for process streamlining.
</li><li>Assist with the interpretation, responses, and presentation of results to internal and external stakeholders such as the CMS Consensus Based Entity, regulatory and federal agencies and other health authorities for all measure types (process, outcome, risk-modeled, composite, etc.).
</li><li>Develop and maintain strong working relationships with internal and external stakeholders to facilitate collaboration and drive execution of program deliverables.
</li><li>Create and maintain standard operating procedures and technical documentation.</li></ul></div>

Associate, NCDR Data Scientist

Alvarez & Marsal

<div></div><div><div><div>Location: Washington, DC, United States 
Date Posted: Feb 28, 2026</div><div><div> 
</div></div></div><div>Description
Digital Finance Transformation - Data Scientist: Associate &ndash; Private Equity Performance Improvement
About Alvarez &amp; Marsal
Alvarez &amp; Marsal (A&amp;M) is a global consulting firm with over 10,000 entrepreneurial, action and results-oriented professionals in over 40 countries. We take a hands-on approach to solving our clients' problems and assisting them in reaching their potential. Our culture celebrates independent thinkers and doers who positively impact our clients and shape our industry. The collaborative environment and engaging work&mdash;guided by A&amp;M's core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity&mdash;are why our people love working at A&amp;M.
The Team
A&amp;M&rsquo;s Private Equity Performance Improvement Services (PEPI) practice works with private equity held portfolio companies and provides our clients with solutions to preserve and generate value for their businesses. Our goal is to improve transparency to key drivers and business performance, to support increasing cash and EBITDA, and to provide benefits through hands-on involvement in our clients&rsquo; operations. Our job is to support PE firms to ensure their portfolio companies have credible plans and the ability to execute and deliver financial outcomes.
Our PEPI CFO Services practice includes the following pillar of services:<ul><li>
Strategic Finance and Liquidity Management</li><li>
Accounting Advisory and Financial Reporting Solutions</li><li>
Working Capital Optimization</li><li>
Digital Finance Transformation</li><li>
Interim Management</li></ul>
How you will contribute
We are seeking an Associate or Senior Associate to join our Digital Finance Transformation team within PEPI. This role focuses on helping private equity portfolio companies accelerate digital enablement within the finance function&mdash;modernizing data environments, automating processes, and building analytics-driven tools that create measurable business impact.
The ideal candidate blends strong technical expertise in Python, SQL, and modern data platforms with a solid understanding of finance and accounting operations. You will work directly with CFOs, Controllers, and FP&amp;A leaders to design, implement, and operationalize digital solutions that improve performance, transparency, and scalability.
Qualifications<ul><li>
3-6 plus years of professional experience; consulting or professional services experience preferred.</li><li>
Advanced Python programming experience, including familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>
Strong SQL skills and experience with modern data platforms (Snowflake, Databricks, Azure Synapse, Microsoft Fabric).</li><li>
Experience with ETL/orchestration tools (Dagster, Temporal, Azure Data Factory, AWS Glue, Fivetran, Matillion).</li><li>
Demonstrated ability to develop lightweight finance applications using Streamlit or Retool.</li><li>
Solid understanding of finance and accounting concepts, including forecasting, working capital management, and three-statement modeling.</li><li>
Exceptional communication and collaboration skills; proven ability to translate between finance and technology teams.</li><li>
Ability to travel as required</li></ul>
#LI-LS1
Your journey at A&amp;M
We recognize that our people are the driving force behind our success, which is why we prioritize an employee experience that fosters each person&rsquo;s unique professional and personal development. Our robust performance development process promotes continuous learning, rewards your contributions, and fosters a culture of meritocracy. With top-notch training and on-the-job learning opportunities, you can acquire new skills and advance your career.
We prioritize your well-being, providing benefits and resources to support you on your personal journey. Our people consistently highlight the growth opportunities, our unique, entrepreneurial culture, and the fun we have together as their favorite aspects of working at A&amp;M. The possibilities are endless for high-performing and passionate professionals.
The salary range is $90,000-$130,000 annually, dependent on several variables including but not limited to education, experience, skills, and geography. In addition, A&amp;M offers a discretionary bonus program which is based on a number of factors, including individual and firm performance. Please ask your recruiter for details.
Alvarez &amp; Marsal recruits on an ongoing basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) that they are qualified for and that are of interest to them.
Full-time Positions and Part-time Positions Over 30 hours
Regular employees working 30 or more hours per week are also entitled to participate in Alvarez &amp; Marsal Holdings&rsquo; fringe benefits consisting of healthcare plans, flexible spending and savings accounts, life, AD&amp;D, and disability coverages at rates determined periodically as well as a 401(k) retirement savings plan. Provided the eligibility requirements are met, employees will also receive an annual discretionary contribution to their 401(k) retirement savings plan from Alvarez &amp; Marsal. Additionally, employees are eligible for paid time off including vacation, personal days, seventy-two (72) hours of sick time (prorated for part time employees), ten federal holidays, one floating holiday, and parental leave. The amount of vacation and personal days available varies based on tenure and role type.
Inclusive Diversity
A&amp;M&rsquo;s entrepreneurial culture celebrates independent thinkers and doers who can positively impact our clients and shape our industry. The collaborative environment and engaging work&mdash;guided by A&amp;M&rsquo;s core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity&mdash;are the main reasons our people love working at A&amp;M. Inclusive Diversity means we embrace diversity, and we foster inclusiveness, encouraging everyone to bring their whole self to work each day. It runs through how we recruit, develop employees, conduct business, support clients, and partner with vendors. It is the A&amp;M way.
Equal Opportunity Employer
It is Alvarez &amp; Marsal&rsquo;s practice to provide and promote equal opportunity in employment, compensation, and other terms and conditions of employment without discrimination because of race, color, creed, religion, national origin, ancestry, citizenship status, sex or gender, gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, family medical history, genetic information or other protected medical condition, political affiliation, or any other characteristic protected by and in accordance with applicable laws. Employees and Applicants can find A&amp;M policy statements and additional information by region here.
Unsolicited Resumes from Third-Party Recruiters
Please note that as per A&amp;M policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that A&amp;M will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.
</div><div><h2 class="jobSectionHeader">Inclusive Diversity</h2>
A&amp;M&rsquo;s entrepreneurial culture celebrates independent thinkers and doers who can positively impact our clients and shape our industry. The collaborative environment and engaging work&mdash;guided by A&amp;M&rsquo;s core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity&mdash;are the main reasons our people love working at A&amp;M. Inclusive Diversity means we embrace diversity, and we foster inclusiveness, encouraging everyone to bring their whole self to work each day. It runs through how we recruit, develop employees, conduct business, support clients, and partner with vendors. It is the A&amp;M way.
<h2 class="jobSectionHeader">Equal Opportunity Employer</h2>
It is Alvarez &amp; Marsal&rsquo;s practice to provide and promote equal opportunity in employment, compensation, and other terms and conditions of employment without discrimination because of race, color, creed, religion, national origin, ancestry, citizenship status, sex or gender, gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, family medical history, genetic information or other protected medical condition, political affiliation, or any other characteristic protected by and in accordance with applicable laws. .
<h2 class="jobSectionHeader">Unsolicited Resumes from Third-Party Recruiters</h2>
Please note that as per A&amp;M policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that A&amp;M will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.</div></div>

Associate, Digital Finance Transformation - Data Scientist - Private Equity Performance Improvement (OPEN TO ALL US LOCATIONS)

Amtrak

<div>Your success is a train ride away!
As we move America&rsquo;s workforce toward the future, Amtrak connects businesses and communities across the country. We employ more than 20,000 diverse, energetic professionals in a variety of career fields throughout the United States. The safety of our passengers, our employees, the public and our operating environment is our priority, and the success of our railroad is due to our employees. 
Are you ready to join our team?
Our values of &lsquo;Do the Right Thing, Excel Together and Put Customers First&rsquo; are at the heart of what matters most to us, and our Core Capabilities, &lsquo;Building Trust, Accountability, Effective Communication, Customer Focus, and Proactive Safety &amp; Security&rsquo; are what every employee needs to know and do to be most impactful at Amtrak. By living the Amtrak values, focusing on our capabilities, and actively embracing and fostering diverse ideas, backgrounds, and perspectives, together we will honor our past and make Amtrak a company of the future. 
COMPANY: National Railroad Passenger Corporation (Amtrak) 
TITLE: Senior Principal Data Engineer 
LOCATION: Washington, D.C. 
DUTIES: Lead the technological advancement and architecture of data-driven solutions across multiple departments including Operations, Finance, Safety, Marketing, and IT. Spearhead the design, development, and delivery of end-to-end solutions on contemporary technology platforms. Oversee designing data ingestion, transfer, and consumption processes that are cost-effective and performance efficient. Act as a Subject Matter Expert (SME) for key and critical source systems to offer essential guidance and mentorship to the Development, Testing, Implementation, and Support teams. Adapt and enhance solutions to meet evolving requirements, ensuring alignment with business objectives. 
REQUIREMENTS: Bachelor's degree or equivalent in Computer Science, Computer Information Systems, or a related field followed by seven (7) years of progressive, post-baccalaureate experience as a Senior Principal Data Engineer or any occupation related to Software Development. Must also have seven (7) years of experience: (1) Building solutions using the following technologies: Informatica Data Quality, Informatica MDM, Erwin, and Informatica Power Center; (2) Administering applications in UNIX, LINUX, and Windows environments; (3) Writing and executing scripts in Perl; (4) Implementing solutions on AWS leveraging identity resolutions, data lake, metadata, and data governance; (5) Performing data migrations, cleansing, integration, and normalization for data warehouses; (6) Creating customized Master Data Management (MDM) and IDD solutions. All experience may be acquired concurrently. Remote work permitted in accordance with company policy. All positions require pre-employment background check verification and a pre-employment drug screen. 
SALARY: $175,427 to $215,100 per year 
CONTACT: To apply,https://bit.ly/4cS8dSO Please reference Job Code: 7705232.
Requisition ID:166139 
Posting Location(s):District of Columbia
 Job Family/Function:Information Technology 
Relocation Offered:No 
Travel Requirements:0 - 5%
You power our progress through your performance. 
We want your work at Amtrak to be more than a job. We want your career at Amtrak to be a fulfilling experience where you find challenging work, rewarding opportunities, respect among colleagues, and attractive compensation. Amtrak maintains a culture that values high performance and recognizes individual employee contributions. 
Amtrak is committed to a safe workplace free of drugs and alcohol. All Amtrak positions requires a pre-employment background check that includes prior employment verification, a criminal history check and a pre-employment drug screen.
Candidates who test positive for marijuana will be disqualified, regardless of any state or local statute, ordinance, regulation, or other law that legalizes or decriminalizes the use or possession of marijuana, whether for medical, recreational, or other use. Amtrak's pre-employment drug testing program is administered in accordance with DOT regulations and applicable law. 
 
In accordance with DOT regulations (49 CFR &sect; 40.25), Amtrak is required to obtain prior drug and alcohol testing records for applicants/employees intending to perform safety-sensitive duties for covered Department of Transportation positions. If an applicant/employee refuses to provide written consent for Amtrak to obtain these records, the individual will not be permitted to perform safety-sensitive functions. 
In accordance with federal law governing security checks of covered individuals for providers of public transportation (Title 6 U.S.C. &sect;1143), Amtrak is required to screen applicants for any permanent or interim disqualifying criminal offenses. 
Amtrak is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race/color, to include traits historically associated with race, including but not limited to, hair texture and hairstyles such as braids, locks and twists, religion, sex (including pregnancy, childbirth and related conditions, such as lactation), national origin/ethnicity, disability (intellectual, mental and physical), veteran status, marital status, ancestry, sexual orientation, gender identity and gender expression, genetic information, citizenship or any other personal characteristics protected by law..</div>

Senior Principal Data Engineer

Vantor

<div>
 Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what&rsquo;s happening now and shape what&rsquo;s coming next. Vantor is a place for problem solvers, changemakers, and go-getters&mdash;where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.
 
 
 To be eligible for this position, you must be a U.S. Citizen. This position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status.
 
 
 
 Export Control/ITAR:
 
 Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).
 
 
 
 Please review the job details below.
 
 
 
 This position requires an active U.S. Government Security Clearance at the
 
 TS/SCI
 
 level with an
 
 in-scope CI poly
 
 .
 
 
 We're hiring multiple Data Scientists to join our team. In this position you will use your expertise to support the research, development, and implementation of advanced analytical methodologies and techniques that leverage artificial intelligence, machine learning, and data science approaches. Data Scientists will support a forward-leaning defense intelligence program focused on enhancing analytic rigor, efficiency, and predictive capability across a broad mission set. This includes support to Object-Based Intelligence (OBI) production, structured analytic method augmentation, and automation of analytic workflows. Data Scientists will collaborate with analysts, methodologists, and technologists to research, develop, and implement advanced methodologies that leverage artificial intelligence, machine learning, and statistical modeling to solve complex intelligence problems.
 
 
 
 Responsibilities: A day in the life/What the position will be doing:
 
 
 
 <ul>
 <li>
 Work in tandem with analysts to figure out methods to solve their challenges with complex data sets, pattern identification, and visualizations.
 </li>
 <li>
 Perform research and implement forward-looking analytic methodologies that leverage statistical techniques and pattern recognition.
 </li>
 <li>
 Assist analysts in developing structured approaches to predictive intelligence that increase timeliness and accuracy of assessments.
 </li>
 <li>
 Expand existing Natural Language Processing (NLP) to include new entities and improved visualization.
 </li>
 <li>
 Research and implement approaches that enhance analytical tradecraft (support critical thinking, mitigate biases, increase analytic rigor).
 </li>
 <li>
 Research and implement advanced analytic methodologies that enhance tradecraft, mitigate bias, and improve analytic efficiency.
 </li>
 <li>
 Support the automation of structured analytic methods and workflows to increase repeatability and scalability of intelligence production.
 </li>
 <li>
 Contribute to the development and integration of semantic technologies, including ontologies and knowledge graphs, to support OBI standards.
 </li>
 <li>
 Design and build visualizations and dashboards that communicate complex data insights to technical and non-technical audiences.
 </li>
 <li>
 Evaluate and optimize analytic performance using qualitative and quantitative metrics.
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Must be a US citizen and have an active TS/SCI with CI poly.
 </li>
 <li>
 3 years of experience and a related Bachelor&rsquo;s degree
 </li>
 <li>
 Demonstrated experience with Python, R, and SQL, including programmatic access to web services, data management, and visualization.
 </li>
 <li>
 Demonstrated experience with statistical analysis and data mining algorithms.
 </li>
 <li>
 Possesses knowledge and experience with artificial intelligence (AI), advanced analytics, cloud architecture, and data storage.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Polished oral and written communication skills sufficient to compose, tailor, and deliver original presentations and papers on abstract concepts.
 </li>
 <li>
 Familiarity with graph databases or graph data structures.
 </li>
 <li>
 Ability to lead multi-disciplinary teams to complete complex data science projects.
 </li>
 <li>
 Experience with AWS or similar cloud provider.
 </li>
 <li>
 Demonstrated experience in solving problems with structured and unstructured data.
 </li>
 <li>
 Experienced in applying statistical and data visualization skills.
 </li>
 <li>
 Strong problem-solving skills to manipulate data and draw insights from large data sets.
 </li>
 <li>
 Proven ability to learn and master new software, technologies and techniques.
 </li>
 <li>
 Familiarity with generative AI and large language models (LLMs) and their strengths and weaknesses when applied to intelligence requirements.
 </li>
 <li>
 Experience in two or more of the following: Machine Learning, Natural Language Processing, Apache Spark, Hadoop, R, C++, SQL Database/Coding, or visualization tools such as Tableau.
 
 
 </li>
 </ul>
 
 Pay Transparency:
 
 In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings. The successful candidate&rsquo;s starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range.
 
 
 <ul>
 <li>
 The base pay for this position within the Washington, DC metropolitan area is: $90,000.00 - $150,000.00 annually.
 
 
 </li>
 </ul>
 For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range.
 
 
 
 Benefits:
 
 Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careers
 
 
 The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire.
 
 
 The date of posting can be found on Vantor's Career page at the top of each job posting.
 
 
 To apply, submit your application via Vantor's Career page.
 
 
 
 EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.
 
</div>

Data Scientist - Junior

Explore 409+ Senior data scientist in Washington this March. Find roles across top companies and apply now to boost your career.